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University of Ghana http://ugspace.ug.edu.gh IMPACT OF WAREHOUSE RECEIPT SYSTEM ON ACCESS TO MARKETS AND INCOME OF SMALLHOLDER MAIZE FARMERS IN THE NORTHERN REGION OF GHANA BY NANA KOFI SAFO THIS THESIS IS SUBMITTED TO THE UNIVERSITY OF GHANA, LEGON IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE AWARD OF DOCTOR OF PHILOSOPHY DEGREE IN AGRICULTURAL ADMINISTRATION DEPARTMENT OF AGRICULTURAL ECONOMICS AND AGRIBUSINESS, COLLEGE OF BASIC AND APPLIED SCIENCES UNIVERSITY OF GHANA, LEGON
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IMPACT OF WAREHOUSE RECEIPT SYSTEM ON ACCESS TO MARKETS

AND INCOME OF SMALLHOLDER MAIZE FARMERS IN THE NORTHERN

REGION OF GHANA

BY

NANA KOFI SAFO

THIS THESIS IS SUBMITTED TO THE UNIVERSITY OF GHANA, LEGON

IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE AWARD

OF DOCTOR OF PHILOSOPHY DEGREE IN AGRICULTURAL

ADMINISTRATION

DEPARTMENT OF AGRICULTURAL ECONOMICS AND AGRIBUSINESS,

COLLEGE OF BASIC AND APPLIED SCIENCES UNIVERSITY OF GHANA,

LEGON

JULY, 2017

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DECLARATION

I, Nana Kofi Safo, declare that with the exception of duly acknowledged citations and

references, this thesis, “Impact of warehouse receipt system (WRS) on access to

markets and income of smallholder maize farmers in the Northern Region of

Ghana” is a product of my own research, under the supervision of Professor Ramatu

Mahama Al-Hassan, Dr. (Mrs.) Irene S. Egyir, and Dr. Henry Anim Somuah. This thesis,

either whole or in part, has never been presented for another degree in this University or

elsewhere.

…………………………….

Nana Kofi Safo(Ph.D Candidate)

This Thesis has been submitted for examination with our approval as supervisors.

…………………………… …………………………….

Prof. Ramatu M. Al-Hassan(Major Supervisor)

Dr. Mrs. Irene S. Egyir(Co-Supervisor)

…………………………...

Dr. Henry Anim Somuah(Co-Supervisor)

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DEDICATION

This thesis is dedicated to my Godfather, Apostle Dr. Ing. Kwadwo Safo for his immense

financial and moral support, and spiritual guidance which has brought me this far. I owe

you a debth of gratitude father, for everything you have done for me. Thank you.

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ACKNOWLEDGEMENT

The first thanks goes to the Almighty God for his guidance and protection which has

made it possible for me to complete this programme successfully. The next thanks go to

my supervisors; Prof. Ramatu M. Al-Hassan, Dr. (Mrs.) Irene S. Egyir and Dr. Henry

Anim Somuah, all of the Department of Agricultural Economics and Agribusiness, for

their advice and excellent supervision of this thesis. My sincere thanks also go to all

lecturers especially the Head of Department, Prof. Daniel Bruce Sarpong for their

excellent tuition, critique and corrections.

My sincere gratitude goes to my dearest, Lawyer Owusu Badu, the General Secretary of

Kristo Asafo Mission of Ghana, for his unflinching support and encouragement. He has

made a great impact in my life and I appreciate it so much. Thanks also go to all the

national officers at Kristo Asafo Head office for their support. I also say a big thank you

to my Mum and Dad, Madam Abena Kyerewaa and Mr. Obibini Kwaku Aning, my

brother, John Aning, and my three sweet sisters, Nhyira Aning, Ama Sika, and Akosua

Safowaa for their care and moral support.

I also greatly appreciate the support of Mr. Alhassan Andani and his team who helped

me in the collection of data. Thanks also go to my close friends and relatives, Ama

Safowaa, Miss Juliana Frimpong, Nhyira Kofi Asare, Stephen Addo Oduro, Mr. Hughes

Lartey, Vera Adu Twumwaa, Janet Takyiwaa, and the entire Ph.D colleagues who,

through diverse ways, helped me to complete this work, I say God richly bless you for

your support and encouragement.

Nana Kofi Safo

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ABSTRACT

Smallholder farmers have limited access to credit for their farming activities due to lack of collaterals that are acceptable by formal financial institutions. The farmers sell immediately after harvest at low prices to ease their financial constraints, which consequently earn them low incomes. In order to overcome these problems, warehouse receipt system (WRS) is suggested as the best alternative scheme. The WRS in Africa however lacks legal and institutional framework to ensure its successful operation. The system is mostly used by large processors, importers and exporters to secure loans for their transactions, and it is unavailable to smallholder farmers who suffer most from financial exclusion due to lack of collateral. This thesis therefore assesses the impact of WRS on access to markets and income of smallholder maize farmers in the Northern Region of Ghana. The study specifically sought to address the following issues: the institutional arrangements of WRS in Ghana, extent of farmers’ awareness and perception of WRS, and effect of WRS on access to credit, output market and farm income. Data was collected from 400 randomly selected maize farmers in six communities in the Northern Region. Apart from descriptive statistics, endogenous switching regression model (ESRM) and propensity score matching (PSM) were employed to assess the effect of WRS on access to credit, output market, and crop income. In terms of institutional arrangements, the study identified partial legislation and slow implementation of commodity exchange market as the key limitations to successful operation of WRS. Over 80% of the farmers perceived the improved storage, market access and reduced transportation cost as the three most important benefits of WRS. The three most important WRS constraints perceived by the majority (80%) of farmers were: unfavourable condition of community warehouses, lack of insurance at community warehouses, and a few lending institutions supporting the system. About 35% of farmers participated in the WRS in 2016. Findings from both the ESRM and the PSM show that the main factors that positively affect smallholder farmers’ participation in WRS are education, farm size, level of production of maize, and membership of farmer-based organisation. Ownership of storage facility, cost of inputs, and payment of taxes reduce the possibility of participation in WRS. Participating in WRS has the potential to increase

1) amount of credit accessed by GH¢219.82 per annum, 2) quantity of maize supplied by 18%; and crop income of smallholder farmers by 13%. In order to sustain the positive impact of WRS, farmers should be encouraged to expand their farm sizes and join FBOs for consistent learning. Policy makers should facilitate the passage of “commodity exchange and warehouse receipt system bill” into law. The law and an active commodity exchange market will boost the confidence of financial institutions to support the WRS.

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TABLE OF CONTENT

Content Page

Declaration i

Dedication ii

Acknowledgement iii

Abstract iv

Table of Content v

List of Tables xi

List of Figures xiii

List of Appendices xiv

List of Acronyms xv

CHAPTER ONE

INTRODUCTION 1

1.1 Background of the study 1

1.2 Problem Statement 7

1.3 Objective of the Study 13

1.4 Relevance of the Study 14

1.5 Organisation of the Thesis 15

CHAPTER TWO 16

LITERATURE REVIEW 16

2.1 Introduction 16

2.2 Promotional Activities to Create Awareness and Inform Adoption

Decision 16

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2.3 Perception of Farmers on Innovation and its Influence on AdoptionDecision 19

2.4 Effect of WRS on Access to Credit from Formal Financial Institutions 20

2.5 Effect of WRS on Access to Output Market by Smallholder Farmers 23

2.6 Effect of Warehouse Receipt System on Farmers’ Income 26

2.7 Institutional Arrangement for the Successful Operation of WRS 27

2.7.1 Responsibilities of Ministry of Food and Agriculture 32

2.7.2 Responsibilities of Ministry of Trade and Industry 33

2.7.3 Responsibilities of Ministry of Local Government andRural Development 36

2.7.4 Responsibilities of Financial Institutions 37

2.7.5 Responsibilities of the Ghana Grains Council 38

CHAPTER THREE 40

METHODOLOGY 40

3.1 Introduction 40

3.2 Conceptual Framework 40

3.3 Theoretical Framework 42

3.3.1 Theory of Storage and Inventory Management 42

3.3.2 Access to Credit 43

3.3.3 Access to Market 46

3.3.4 Theory of Perception 48

3.3.5 Approaches and Framework of Institutional Analysis 49

3.3.6 Theory of Impact Analysis 51

3.3.6.1 Endogenous Switching Regression 53

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3.3.6.2 Propensity Score Matching 58

3.4 Methods of data analysis 61

3.4.1 Assessing the Adequacy of Institutional Arrangement forWRS in Ghana 61

3.4.2 Scope of Promotional Activities and the Extent of Farmers’Awareness about WRS 63

3.4.2.1 Analysis of the Scope of Activities Promoting the WRS 63

3.4.2.2 Analysis of the extent of farmers’ awareness about WRS 64

3.4.3 Evaluation of Perceptions of Farmers about Benefits andConstraints of WRS 66

3.4.3.1 Analysis of Benefits 66

3.4.3.2 Analysis of Constraint of WRS 68

3.4.4 Estimating the Impact of WRS on Access to Credit, Access toOutput Market, and Crop Income 71

3.4.4.1 Model specification 72

3.5 Source of Data 75

3.5.1 Study Area 75

3.5.2 Sampling Procedure 76

3.6 Scope and Limitation of the Study 77

CHAPTER FOUR 79

RESULTS AND DISCUSSION 79

4.1 Introduction 79

4.2 Socio-economic Characteristics of Respondents 79

4.3 Analysis of Institutional Arrangement for Successful Operation of WRS 81

4.3.1 The Operation of Electronic Warehouse receipt System in Ghana 81

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4.3.2 How Electronic Warehouse Receipt (WR) is used to AccessLoan in Ghana 82

4.3.3 Operation of Community Warehouse Receipt System 83

4.3.4 Analysis of Institutional Arrangement for Successful

Operation of WRS 85

4.3.5 Review of the Activities of Supporting Organisations of WRS 88

4.3.5.1 Ghana Grains Council 88

4.3.5.2 Ministry of Trade and Industry 92

4.3.5.3 Ghana Standards Authority 93

4.3.5.4 Ministry of Food and Agriculture 95

4.3.5.5 Financial Institutions 98

4.3.5.6 Ministry of Local Government and Rural Development 100

4.4 Scope of Promotional Activities and the Extent of Farmers’ Awarenessabout WRS 102

4.4.1 Scope of Promotional Activities by Ghana Grains Council 102

4.4.2 Extent of farmers’ awareness about WRS 103

4.4.2.1 Knowledge on Functions of WRS 103

4.4.2.2 Knowledge on Benefits 105

4.4.2.3 Source of Information on WRS 106

4.4.2.4 Participants’ Experience with WRS 107

4.4.2.5 Respondents’ Reasons for Non-Participation in WRS 110

4.5 Perception of Farmers about the Benefits and Constraints of WRS 111

4.5.1 Farmers’ Perception about Benefits of WRS 111

4.5.2 Farmers’ Perception and Ranking of Constraints of WRS 114

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4.5.2.1 Ranking of Constraints of WRS 116

4.6 Impact of WRS on Access to Credit from Formal Financial Institutions 117

4.6.1 Descriptive Analysis on Access to Credit 117

4.6.2 Results of Endogenous Switching Regression Model onAccess to Credit 120

4.6.2.1 Factors Affecting Access to Credit 121

4.6.2.2 Impact of WRS on Access to Credit by ESRM 122

4.6.3 Estimation of Impact of WRS on Access to Credit by the PSM 123

4.6.3.1 Impact of WRS on Access to Credit by PSM 124

4.7 Impact of WRS on access to output market by Smallholder Farmers 125

4.7.1 Descriptive Analysis on Access to Output Market 125

4.7.2 Results of ESRM on Access to Output Market 127

4.7.2.1 Factors Affecting Access to Output Market 128

4.7.2.2 Impact of WRS on Access to Output Market by ESRM 129

4.7.3 Estimation of Impact of WRS on Access to Output Market by PSM 130

4.8 Impact of WRS on Crop Income of Smallholder Farmers 131

4.8.1 Descriptive Analysis on Farmers’ Crop Income 131

4.8.2 Estimation of Impact of WRS on Crop Income of Farmers bythe ESRM 133

4.8.2.1 Factors Affecting Crop Income by Farmers 133

4.8.2.2 Impact of WRS on Crop Income by ESRM 134

4.8.2.2 Estimation of Impact of WRS on Crop Income ofFarmers by PSM 135

4.9Factors Affecting Participation of WRS 137

CHAPTER FIVE 140

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5.0 Summary, Conclusion and Recommendations 140

5.1 Introduction 140

5.2 Summary 140

5.3 Conclusions 142

5.4 Recommendations 143

5.5 Future Research 145

References 146

Appendices 162

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LIST OF TABLES

Table Page

1.1 Certified Electronic Warehouses in the Northern Region of Ghana 8

1.2 Community Warehouses Approved by Ghana Grains Council(Northern Region) 9

3.1 Treatment, Heterogeneity and Transitional Heterogeneity Effects 57

3.2 Explanatory Variables Explaining Participation of WRS andtheir Expected Signs 74

4.1 Socioeconomic Characteristics of Respondents 80

4.2 Institutional Arrangement in the Warehouse Receipt System in Ghana 86

4.3 Frequencies: Expected and Observed Institutions of WRS 87

4.4 Test Statistics of Institutional Performance to WRS 87

4.5 Review of Performance of Functions by the GGC 91

4.6 Review of Performance of Functions by the MoTI 92

4.7 Review of Performance of Functions by the GSA 94

4.8 Review of Performance of Functions by the MoFA 97

4.9 Review of Performance of Functions by the Financial Institutions 100

4.10 Review of Performance of Functions by the District Assembly 101

4.11 Extent of Farmers’ Awareness about WRS: Distribution, MeanScore & Chi-square 104

4.12 Perception of Farmers about the Benefits of WRS 113

4.13 Farmers’ Perception of Constraints of WRS 115

4.14 Ranking of Constraints by the Kendall’s Coefficient of Concordance 117

4.15 Expected Access to Credit, Treatment and Heterogeneity Effect of WRS 123

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4.16 Average Treatment Effect on Treated (ATT): Impact of WRS onAccess to Credit by PSM 124

4.17 Expected Access to Output Market, Treatment and Heterogeneity Effectof WRS by the ESRM 130

4.18 Average Treatment Effect on Treated (ATT): Impact of WRS onOutput Market by PSM 131

4.19 Expected Income, Treatment and Heterogeneity Effect of WRS 135

4.20 Average Treatment Effect on Treated (ATT): Impact of WRS onCrop Income by PSM 136

4.21 Factors Affecting Participation of WRS: Results from SelectionEquations of ESRM, and Logit Model of PSM 138

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LIST OF FIGURES

Figure Page

3.1 Conceptual framework for the activities and functions of WRS 41

3.2 Map of Ghana showing location of the study area 76

4.1 Sources of market price information to smallholder farmers 98

4.3 Source of farmers’ information on WRS 106

4.4 Participation of warehouse receipt system 107

4.5 Reasons of farmers’ participation in warehouse receipt system 108

4.6 Farmers’ awareness of lending institutions 119

4.7 Reasons why some farmers have never requested for loan 120

4.8 Seasonal price indices of wholesale maize price trend in theNorthern Region of Ghana (2008 – 2015) 125

4.9 Quantities of maize harvested by participants andnon-participants of WRS 132

4.10 Price of maize obtained by participants and non-participants of WRS 133

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LIST OF APPENDICES

Appendix Page

1 FBO Members who are Participants of Community WRS 162

2. Knowledge about Functions of WRS (Chi-square Descriptive Statistics) 163

3 Participants and non-participants of WRS who have access to credit 164

4 FIML on the Endogenous Switching Regression for Access to Credit 165

5. Distribution of propensity scores for treated and untreated groups 166

6. Wholesale Maize Prices in the Northern Region of Ghana (2008 – 2015 167

7. Seasonal Price Indices of Maize Price in the Northern Region of Ghana(2008 – 2015) 168

8. FIML Estimate on the Endogenous Switching Regression for Log ofOutput Market

9. FIML Estimate on the Endogenous Switching Regression for Log ofIncome

10. Logit estimates from propensity score matching explaining participation 171

11. Thesis questionnaire 172

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LIST OF ACRONYM

ACRONYM MEANING

ADB

AGRA

ASI

ASTI

ATT

ATU

CRE

CX

DFID

ESRM

FIMLE

GGC

MOFA

MoTI

NTC

FBOs

GSA

GSS

GRN

Agriculture Development Bank

Alliance for a Green Revolution in Africa

Agri-business System International

Agricultural Science Technology Innovation

Average Treatment Effect on the Treated

Average Treatment Effect on the Untreated

Correlated Random Effects

Commodity Exchange

Department for International Development

Endogenous Switching Regression Model

Full Information Maximum Likelihood Estimation

Ghana Grains Council

Ministry of Food and Agriculture

Ministry of Trade and Industry

National Technical Committee

Fishermen Base Organisations

Ghana Standards Authority

Ghana Statistical Service

Goods Received Note

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GWARP

IAD

ICT

IFAD

ISSER

KENFAP

KMP

MIS

MoTI

NAFCO

USAID

ADVANCE

TOT

PSM

WRS

WR

UDS

UNTAD

Ghana Warehouse Receipt Promotion

Institutional Analysis and Development

Information Communication Technology

International Fund for Agricultural Development

Institute of Statistical, Social and Economic Research

Kenya National Federation of Agricultural Producers

Knowledge Management Partnership

Market Information Service

Ministry of Trade and Industry

National Buffer Food Stock Company

United States Agency for International Development

Agricultural Development Value Chain EnhancementProgramme

Trainer Of Trainees

Propensity Score Matching

Warehouse Receipt System

Warehouse Receipt

University for Development Studies

United Nations Conference on Trade and Development

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CHAPTER ONE

INTRODUCTION

1.1 Background

Smallholder farmers are faced with limited sustainable access to credits from formal

financial institutions. These institutions have widespread infrastructure and funds that is

mainly accessible to the urban dwellers and not rural smallholder farmers (Aryeetey,

2008). Only 4.7% of rural dwellers in developing countries worldwide have access to

loans from formal financial institutions. In Africa, agriculture employs about 55% of the

total population but approximately 1% of the total bank lending is obtained by

smallholder farmers (IFC, 2014).

In order to ease their financial constraints, most farmers sell their produce immediately

after harvest at low prices and this is due to lack of finance for consumption smoothing

and for purchase of inputs for the next growing season. If farmers are able to postpone

sales for some time, they would benefit from higher prices. Prices appreciate by about

80% within six months after harvest (Coulter and Poulton, 2001). Improved financial

services to rural folks are therefore essential to enhance farm productivity and poverty

reduction. However, the development of rural financial systems is hindered by high cost

of delivering financial services to smallholder farmers (Onumah, 2003), due to the

underdeveloped financial service systems.

Apart from the high cost of delivering financial services, banks perceive rural

smallholder farmers as not credit worthy. Financial institutions are unwilling to lend to

farmers because of uncertainty of peripheral factors such as missing markets for their

1

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produce (Cocciarelli et al., 2010). Another factor that increases the credit risk of rural

borrowers and reduces their access to credit from formal financial institutions is the lack

of insurance products for their produce. Agriculture is considered a risky business

characterised by vulnerability to adverse weather and other catastrophes such as floods,

pest infestation, fire and theft. These problems coupled with little or no insurance product

to mitigate any future loss make lending to smallholder farmers unattractive (Besley,

1994).

Another problem confronting smallholder farmers in their efforts to access credit is the

collateral policies. Farmers are unable to secure loans because they cannot meet the

collateral demands of financial institutions (Owusu-Antwi and Antwi, 2010). Assets such

as land cannot be used as collateral, partly because of lack of effective legal systems or

collateral registry systems making valuation and liquidation of rural assets difficult.

Collaterals are easy to liquidate guarantees required by banks as risk mitigating strategies

against defaults by borrowers (Bond and Rai, 2002). High value collateral is needed for

larger loans, term loans and for lower interest rates. Micro borrowers such as smallholder

farmers have a challenge in providing collateral because they do not possess the types of

assets required to pledge as collaterals. In order to assist such borrowers in growing their

businesses, Demirgue-Kunt et al. (2008) emphasise that financial institutions can offer

secure lending with collateral substitutes such as third party guarantees, pledged savings,

interpersonal trust, among others to reduce lending risk.

Collateral substitutes replace the conventional assets acceptable by banks as collaterals in

order to pave way for small scale businesses and farmers to secure their loans. Contrary

2

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to the conventional legally accepted collaterals, collateral substitutes are in the form of

moral, social or other pressure that have no or little market value, and claims cannot be

enforced through courts (Balkenhol and Schutte, 2001 ).

In practice, different financial institutions have adopted other substitutes as collaterals in

addition to already established ones. Menkhoff et al. (2012) in their study on collateral

and its substitutes in emerging markets’ lending reveal that guarantees and relationship

lending are the two most important collateral substitutes. Guarantees are often used by

formal financial institutions regardless of loan size. Since the basic function of collateral

is to screen out borrowers and protect the interest of banks against default risks, in order

to decide on the form of collateral to accept, financial institutions consider the cost of

monitoring and collecting a movable asset used as collateral substitute, and the possibility

of selling it to pay off a loan, in case of default (Abukasawi, 2007). Example of a

movable asset that can be considered by banks as a collateral substitute is a durable

commodity (such as maize) stored in a reputable warehouse.

Maize is a non-perishable commodity and one of the most important cereal crops in

Ghana, constituting 55% of grain output (Angelucci, 2012). Post-harvest losses of maize

are a major challenge in Ghana, resulting from poor harvesting, drying, and lack of

adequate storage infrastructure. Stathers et al. (2013) explain that in the Northern Region,

maize is often stored in small lots at home and in silos with poor handling such as drying

on the ground which leads to high levels of foreign matter, high moisture content, and

inadequate protection from pests. The result is poor quality maize with low market value,

leading to low incomes and negative impacts on livelihoods of farmers.

3

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Agricultural markets are characterised by price variability which is influenced by the

level of inventories as well as the forces of supply and demand (Badiane et al., 1997).

Smallholder farmers are also confronted with poor access to formal markets; they have

limited selling alternatives and find it difficult to enter into contractual relationships due

to lack of trust and education (Coulter, 2009). The local markets within which

smallholders operate are characterised by uncertainties and risks in terms of price for

their produce. Farmers are often obliged to sell at low price and are usually cheated by

buyers on weight or volume, and quality (IFAD, 2003). Farmers are exposed to theft

incidence, failure on the part of buyers to enforce contracts, and uncertainty concerning

government interventions on price (Onumah, 2003). Farmers can reduce the post-harvest

and marketing challenges by deposing their grains in a reputable warehouse for a

warehouse receipt.

Coulter and Onumah (2002) define warehouse receipts (WR) as “documents issued by

warehouse operators as evidence that specified commodities, of stated quantity and

quality, have been deposited at particular locations by named depositors” (Coulter and

Onumah, 2002, p. 323). Under this arrangement, the owner deposits the commodity such

as maize, in a reputable warehouse and a receipt that stipulates the quantity, quality and

type of product deposited is issued. The warehouse receipt may be non-negotiable or

negotiable, meaning ownership is transferable, which makes it quite suitable for collateral

purposes. Financial institutions may therefore be willing to give loans to farmers against

this security in the appropriate legal environment for a portion of the value of the

underlying commodity. Farmers who use the system would have access to funds for their

4

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farming activities and consumption smoothing until they are ready to sell the commodity

(Coulter et al., 2013).

When grain is deposited at warehouse for storage, it is dried and treated with chemicals.

This minimizes post-harvest losses and increases shelf life of the grain. The grain is then

weighed and graded by quality before it is stored. Two certificates are issued to the

depositor by the warehouse operator; certificate of pledge and certificate of title. The

depositor uses the certificate of pledge as collateral against the commodity in stock to

secure loan from a formal financial institution that is willing to accept the pledge. The

bank provides funds at a specified %age of the value of the commodity in stock which is

the first source of repayment. The farmer (depositor) later sells the commodity, by

transferring the certificate of title to the buyer and notifies the lender. The buyer pays the

price of the commodity to the bank to receive the certificate of pledge. Both certificates

are taken to the warehouse operator to retrieve the goods. The bank, after deducting the

loan and its interest from the amount received from the buyer, then transfers the balance

to the farmer.

WRS can greatly facilitate financing of agriculture as it could serve as credible collateral

for agricultural credit (Mahanta, 2012). It is therefore an innovative agricultural financing

product which is well accepted by most financial institutions. The commodity in stock

can easily be traced and record of the farmer is readily available. This lowers risk to the

lender, thereby lowering financing charges to the borrower. Farmers can obtain short-

term loans as working capital by participating in a WRS. The scheme also reduces

pressure on the farmer to sell the farm produce immediately after harvest to alleviate

financial constraints. They can wait and sell later when prices are good.

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Having in place a reliable and cost-efficient system for issuing warehouse receipts not

only enhances commodity financing, but also contributes to improve the efficiency and

transparency of commodity marketing (Hollinger & Rutter, 2009). Onumah (2003) reveal

that storage in warehouse receipt system can help smallholder farmers to access

agricultural commodity exchange market in order to obtain good prices for their produce.

Through the system, buyers are assured of the quantity and quality of the commodity, and

the ability of the seller to deliver the goods as scheduled. The system also prevents

cheating on weights and quality; moderates seasonal price variability and promotes

instruments to mitigate price risks (Coulter and Onumah, 2002). The price variability is

prevented through the provision of appropriate storage facility to ensure that grain

surpluses are absorbed after harvest. This sets the price at equilibrium since there is no

excess supply to the market. The storage facility further guarantees adequate future

supply of grain to the market. This prevents shortages and therefore sets the price at

equilibrium.

The WRS functions properly when key fundamentals are in place. Towo and Kimaro,

(2014) note that availability of good physical warehouse facilities is primary requirement

to establish a WRS. This assures all parties that the commodity in question exists, is well

protected and secured. The rights and duties of all stakeholders to the warehouse receipt

system must be clearly defined. There must also be high levels of trust among parties,

particularly the assurance that the warehouse operator will not release the produce to any

party other than the owner or the legitimate bearer of the receipt. There must be a

regulatory body and institution that provides grading and standard services to ensure that

the produce is of the precise type, quantity and quality as stipulated. The legal

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environment must give financial institutions the sole right to sell the commodities in the

event of default by the borrower (Nordier, 2013). The legal framework of the country

must also support the use of warehouse receipt (WR) as a negotiable instrument, which

enables one to transfer the receipt to a third party who is willing to buy the produce.

These arrangements contribute immensely to a successful WRS.

1.2 Problem Statement

Warehouse receipt system is considered as an inventory credit system. Inventory credit

system in Ghana was first established in 1989 by Technoserve (a private non-profit

organisation) on pilot basis. In collaboration with Agricultural Development Bank

(ADB), Technoserve designed the programme with the aim of providing financial

assistance and storage facility to smallholder farmers to enable them obtain higher prices

from later sales (Onumah, 2010). The stored grain was to serve as collateral to banks that

were reluctant to give loans to farmers due to lack of collaterals. Technoserve initially

started with maize deposits and later expanded to cowpeas, groundnuts and rice. The

programme covered a greater part of the country and was successful in maintaining

higher prices of maize for farmers and helped them to access credit (Londner et al.,

1999). In 1997, importation of maize into the country increased following policies of the

government, and depressing the local price of the commodity. The programme was not

sustained due to the small volumes of grains deposited by farmers (Kwadzo, 2000); and

high operational cost incurred by Technoserve (Coleman and Valeri, 2006).

In 2010, WRS was established by the Ghana Grains Council (GGC) with the aim of

improving the livelihoods of smallholder farmers in rural areas. GGC is a private sector

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organisation which comprises different stakeholders in the grain value chain. In

December 2012, the council launched the first Warehouse Receipt with financial and

technical support from United States Agency for International Development (USAID)

under the Ghana Agricultural Development and Value Chain Enhancement (ADVANCE)

project. In 2016, the GGC had five certified warehouses in the Northern region;

warehouses issue electronic receipts, with special security features. Total capacity of the

main warehouses is 21,500 MT (Table 1.1). There are nine approved community

warehouses in the Northern region of about 900MT total capacities (Table 1.2). Though

the community warehouses do not have the mandate to issue warehouse receipts, they are

able to manually issue “Goods Received Note” (GRN) to farmers. The GRN currently

cannot be used to access credit from formal financial institutions because it lacks

adequate security features. Farmers can collectively send grains aggregated at the

community warehouses to a certified warehouse for an electronic receipt which can then

be used to access credit from formal financial institutions and distributed to the

smallholder farmers who participate in the scheme.

Table 1.1: Certified Electronic Warehouses in the Northern Region of GhanaName of Warehouse Community District Capacity (MT)

Wienco Ghana Limited Dungu Tamale 18,000

Gundaa Produce Company Datoyili Tamale 500

Savanna Marketing Company Chahizihini Tamale 1,000

Busaka ABC Savelugu Savelugu 1,000

Shekina ABC Woribogu Kukuo Tolon 1,000

Total 21,500

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Table 1.2: Community Warehouses approved by Ghana Grains Council (NorthernRegion)

Farmers’ Group Warehouse Community District Distance from Capacity

No. Tamale (km) (MT)

Tiyumtaba CW013 Diare Savelugu 53.1 80

Tisongtaba CW014 Tamaligu Savelugu 56.3 80

Kpatinga CW015 Kpatinga Gushegu 95.6 80

Kpugi CW016 Kpugi Gushegu 130.36 80

Gaa CW017 Gaa Gushegu 86.9 80

Suglu Kumbo CW018 Shelilanyili Karaga 104.6 80

Kpandai cooperative - Kpandai Kpandai 181.0 100

Chamba cooperative - Chamba Nanumba South 165.3 100

Salaga cooperative - Salaga East Gonja 119.2 100

Total 780

The GGC in collaboration with Ghana Standards Authority (GSA), of the Ministry of

Trade and Industry (MoTI) have established grains standards and have expanded the

grades for maize. Between 2012 and 2015, about 29,000 MT of maize (average of

9,666.70 MT per year) was graded and stored under the GGC Warehouse Receipt

Programme. Over GH₵4.8 million of credit (average of GH₵1.6 million per year) was

obtained solely from Stanbic Bank Ghana Limited by grain depositors using 6,920 MT

graded grains (average of 2,306.70 MT per year) as collateral (GGC, 2015; Coulter,

2014).

In its efforts to increase reach of its services to many farmers in the country, GGC faces

challenges of low participation by smallholder farmers, inadequate regulatory oversight,

lack of legal framework that supports negotiable or transferable warehouse receipts,

smallholders’ limited knowledge on how the WR works, and low participation by

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financial institutions. The rest of the challenges are high transaction cost, high cost of

establishing and running warehouses, difficulty in finding suitable markets for receipts

and lack of suitable warehouses for certification. The warehouses can be private, public,

cooperative, government, or bonded. Public warehouses may be owned by individuals or

firms, but offer their services to the public. Private warehouses are owned by firms or

individuals who use the warehouses to finance their exports or imports, but do not accept

deposits from the public. Government warehouses normally hold food buffer stocks of a

country. Government warehouses can however operate as public warehouses to accept

deposits from the public. Cooperative warehouses are owned by a group of people such

as the farmer based organizations, processors association, or traders association. Such

warehouses are used to store goods of members of the association, and can be built by the

Local Government or District Assembly for the association, or built by the members of

the association themselves. However, warehouses can only be used in financing if they

meet certain conditions, and are certified by the GGC. It is therefore the responsibility of

the GGC to oversee and regulate the activities of the warehouses.

The oversight of GGC in the WRS is not a panacea to enhance the livelihoods of

smallholder farmers unless there is a conducive institutional environment and farmers are

linked to formal markets. The institutions will ensure free flow of market information to

farmers. Warehouse receipt system in Africa however lacks legal and institutional

framework to ensure its successful operation (KENFAP, 2011). Kelly et al. (2014), in

their study of institutional procurement of maize from smallholder farmers in Ghana note

that public organisations such as the Ministry of Food and Agriculture (MOFA) are

mandated to help improve agriculture, food production, provision of extension services

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and the development of FBOs. The Ghana Standards Authority (GSA) is responsible for

the grading of grains and establishes standards with respect to quality, weights and

measures. The work of these organisations as well as the local authorities under the

Ministry of Local Government and Rural Development and other financial institutions in

providing institutional support to WRS will be reviewed in chapter two. Other private

organisations such as Purchase for Progress Ghana (World Food Programme

intervention); the Savanna Marketing Company; and National Buffer Food Stock

Company (NAFCO) buy produce from smallholder farmers, especially members of

FBO’s and further facilitate marketing and linkages to other buyers.

Although WRS can improve access to market, access to credit, and increase income of

smallholder farmers, promotion in Africa has generally been slow. A study by Chitra

(2014) to identify factors influencing the use of warehouse receipts as a financial

instrument in Kenya shows that the majority of farmers (79%) in the study area were not

aware of the WRS. The system is mostly used by large processors, importers and

exporters to secure loans for their transactions (Coulter et al. (2013). WRS is unavailable

to smallholder farmers who suffer most from financial market exclusion due to lack of

collateral (Hollinger & Rutter, 2009). This is because warehouse operators place limits on

the quantity of grains that can be stored under the system (minimum of 50 bags or 5MT

in the case of Ghana). Onumah, (2010) argues that the experience of some developing

countries indicates that the system can be designed to allow direct involvement of

smallholders. In India, smallholder farmers participate in WRS directly by putting their

grains in warehouses possessed by the Central Warehousing and State Warehousing

Corporations. Smallholders have been directly involved in Niger, which enabled them

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access to inventory credit in the form of fertilizer. Smallholder coffee farmers in some

Latin American countries (example in Guatemala) also participated directly in the system

(Mahanta, 2012).

Ngare et al. (2014) observe that warehouse receipt system is much more concentrated

around ports and urban centres compared to the rural areas where price variability of

maize is prevalent due to lack of adequate storage facilities. Northern region of Ghana for

instance has five Ghana Grains Council certified warehouses to issue receipts. Three of

these warehouses are located in Tamale, the regional capital. Tamale is far (more than

50km) from the locations of the nine community warehouses. This makes it difficult for

the smallholder farmers to transport their produce assembled at the community

warehouses to the main warehouses for electronic receipts that will enable them access

financial services from formal financial institutions.

The grains stored at the community warehouses are not standardised and graded by the

Ghana Standards Authority. The grains are also not insured against potential loss by fire,

flood, or theft, as practiced at the main electronic warehouses. The current situation of

WRS in Ghana questions the extent to which access to credit, and output market as well

as income of smallholder maize farmers in the Northern region of Ghana are enhanced.

The major research question becomes: What is the impact of WRS on access to markets

and income of smallholder maize farmers in the Northern region of Ghana?

The specific research questions are:

1. What are the institutional arrangement for the successful operation of WRS in Ghana?

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2. What is the scope of promotional activities by the GGC and level of farmers’

awareness about WRS?

3. What are the perceptions of farmers about benefits of WRS to them and the

constraints they face in participating in the scheme?

4. How has the WRS changed the extent to which smallholder farmers obtain credit

from formal financial institutions?

5. What is the effect of WRS on market access of smallholder farmers?

6. How has the WRS influenced farmers’ income from the sales of maize?

1.3 Objectives of the Study

The major objective of the study is to assess the impact of WRS on access to markets and

income of smallholder maize farmers in the Northern region of Ghana. The specific

objectives are to:

1. Assess the institutional arrangement for the operation of WRS in Ghana.

2. Identify the scope of promotional activities and the extent of farmers’ awareness

about WRS.

3. Evaluate the perceptions of farmers about benefits of WRS to them and the

constraints they face in participating in the scheme.

4. Determine the extent to which WRS has influenced access to credit by smallholder

maize farmers in the Northern region.

5. Examine the effect of WRS on smallholder farmers’ access to maize markets in the

Northern Region.

6. Estimate the effect of WRS on incomes of smallholder maize farmers in the Northern

Region.

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1.4 Relevance of the Study

Analysis of the institutional arrangement for WRS provides information to help the

regulatory body to establish institutions that are lacking and also strengthen existing ones

that are weak to help make the WRS a success.

Description of GGC promotional activities to create awareness allows assessment of the

adequacy and effectiveness of the activities. Evaluation of the extent of farmers’

awareness about WRS helps to know which activity or communication channel that

effectively promoted the system to farmers. The regulatory body and policy makers can

focus resources on the effective activity in order to increase outreach of the programme

and minimize operational cost (Onumah and Acquah, 2011). Smallholder farmers’

understanding of how WRS works helps increase their participation in the community

WRS (Sahin, 2006). It also enables them to assemble adequate volumes of maize

required to earn them warehouse receipt at the electronic WRS level, thereby increasing

capacity utilisation and profitability of operating the warehouse.

Evaluation of farmers’ perceptions about benefits and constraints of WRS is important

information for policy makers, and learning on the depth of farmers’ knowledge

regarding the benefits of the WRS. Regulatory bodies’ strategy on awareness creation to

get more smallholder farmers to participate in the system becomes well targeted when

they have context specific information. Policy makers’ knowledge on the farmers’

constraints of WRS leads to development of appropriate measures to provide solutions.

When the system becomes more effective, it enhances the income of smallholder farmers

(Coulter, 2009).

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Most farmers sell their grains immediately after harvest at low prices due to lack of

adequate storage facilities or money for consumption smoothing (Onumah, 2010).

Knowledge on benefits of WRS in terms of increasing smallholders’ access to credit and

output markets makes it attractive to smallholder farmers to participate in the system.

That way, they stand the chance to have their grains well treated and graded to curtail

cheating on quality and weights by buyers at the local markets. Post-harvest losses are

reduced and farmers’ incomes improved.

The study provides evidence that a WRS introduces farmers to more reliable trading

relationships and further improves their incomes and profits, compared to traditional

commodity trading markets. Agriculture is thus considered a remunerative business for

smallholder farmers, which can go a long way to attract the rural youth to consider

farming as a viable life choice. When agriculture becomes a remunerative business

through warehouse receipt system, it reduces the perception of formal financial

institutions about smallholder farmers being high risk borrowers and improves their

chances of obtaining credits (IFC, 2014; Girabi and Mwakajo, 2013).

1.5 Organisation of the Thesis

The thesis is organised into five chapters. Apart from the introduction chapter, the

literature review is presented in the second chapter. Chapter Three discusses the

methodology for the research work. Chapter Four presents the results and discussion of

the study. The summary, conclusion and recommendations of the study are presented in

Chapter Five.

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CHAPTER TWO

LITERATURE REVIEW

2.1 Introduction

This chapter presents a review of literature on other related studies to bring out

information on findings and empirical evidence that will make this study more relevant. It

begins with the review on promotional activities that best create awareness and adoption

of technology and innovative programmes by farmers. This is followed by the review of

how farmers perceive benefits and constraints of Warehouse Receipt System. The effect

of WRS on farmers’ access to credit from formal financial institutions, access to output

market, and income is also reviewed. Finally, the contribution of primary institutions

towards the development of WRS is also reviewed.

2.2 Promotional Activities to Create Awareness and Inform Adoption Decision

Promotional activities are used to propagate information to a particular group of people in

order to create awareness of a specific product. Information diffusion as defined by

Rogers (1995) “is the process by which an innovation is communicated through certain

channels over time among members of a social system.” Diffusion of information dwells

on four key elements: the technology or innovation itself, communication channels, time,

and a social system in which diffusion takes place (Rogers 1995).

Batz et al. (1999) explain that farmers make adoption decisions on the basis of utility

considerations. The probability that a farmer adopts a technology is a function of its

relative utility. Thus, comparing various technologies that are available, farmers will

adopt a technology if its utility exceeds that of other technologies or practices in the sense

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that it improves production and wealth or standard of living better than previous practice.

Morris et al. (1999) clarify that essential features of new technology that can promote or

discourage adoption include the complexity of the technology, its profitability, riskiness,

and compatibility with other technologies or practices. These features are carefully

considered by farmers and can influence adoption to a great extent. Time is important

asset in technology adoption process within which farmers seek knowledge about the

innovation in order to take a decision to adopt or reject it. The individual at this stage

continues to collect more information to review or confirm the earlier decision.

Awareness is defined as “the knowledge of existing phenomenon” (Simon et al. 2013, p.

557). Awareness is the first step in the technology adoption process. The spread of

information is the most important aspect of awareness creation of a specific innovation or

product to be adopted by farmers. Communication channels such as radio, newspaper,

magazine, television, slide shows, posters, hand bills, publicity vans, and extension

agents, are used to introduce new technology to farmers.

Rogers (1995) indicates that mass media is more effective in creating initial awareness in

the technology adoption process, but the adoption decision by farmers is more influenced

by interpersonal contacts. Thus, earlier adopters obtain information on new product or

innovation from outside and pass it on to other farmers in their social systems. The late

adopters however base their adoptions decision on the evaluation of the performance of

early adopters and thus rely more strongly on internal sources of information. Sahin

(2006) also suggests in a theory of innovation, that diffusion occurs among members of a

social system, and the adoption behaviour of one member influences the adoption

decision of another member. Similarly, Simon et al. (2013) believe that social media give

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scanty information about the new technology. However, it stimulates the interest of

farmers to seek further information about the technology through their social system.

An investigation of the communication patterns involved in the broadcasting of

agricultural innovations among rural farmers reveals that extension agents are better in

creating awareness and influencing adoption decision of farmers than mass media sources

Emenyeonu (1987). This is because extension officers combine information with farm

demonstration. Emenyeonu (1987) further argues that radio and television sets may not

work in rural areas where there is no electricity or where the people cannot afford them.

Towo and Kimaro (2014) in a study of smallholder farmers’ motives for participating in

WRS in Tanzania found that the majority of members in the study area (more than 90%)

were aware of the system, and more so among men than women. The reasons for

participating in the system include high price from delayed sales, access to credit and

access to output markets. The majority (70%) however joined to access loan from formal

financial institutions. On the contrary, a similar study in Kenya (Chitra, 2014) found that

the majority of farmers in the study area were not aware of the WRS. Farmers who had

knowledge about the system but were not participating explained that the legal provision

is not clear about who bears the cost in case of loss of the commodity or other

catastrophes on the commodities stored; besides farmers perceived that the storage

charges could rise beyond what they can afford. Awareness creation is therefore made by

conscious effort through the use of appropriate and cost effective channels, as well as

providing comprehensive information about the benefits, costs, and risks of the

innovation.

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2.3 Perception of Farmers about Innovation and its Influence on Adoption Decision

Van de Ban and Hawkins (1988) define perception as “the process by which information

or stimuli is received and transformed into psychological awareness.” Bennett and Hess

(2004) also define perception as “how one views or interprets things, and the angle from

which people view things.” Farmers’ decision to adopt or reject innovation is determined

by their perception about the innovation, which is normally linked to cultural and

traditional beliefs (Kalungu et al., 2013). Adesina and Zinnah, (1993) note that the

characteristics of a technology innovation strongly influence the perception of farmers to

adopt or reject it. Norton and Mumford (1983) also conclude that farmers finally decide

to adopt innovations when the perceived benefits outweigh the constraints. It is however

waste of resources if a newly developed farming technology is not used by farmers, no

matter how valuable it is. This is the reason why it is important to analyse farmers’

perception about an innovation or technology in order to enable researchers, extension

officers or other regulatory bodies to improve that innovation to meet the needs of

farmers.

Ndambiri et al., (2013) report that demographic and socioeconomic characteristics of

farmers such as age, education, farming experience, income, and distance to the nearest

market also influence the perception of farmers tremendously. A study by Kumar et al.

(2012) to understand the perception and attitude of farmers and agricultural firms towards

warehouse receipt financing show that farmers were reluctant to participate in the WRS

because they perceived that the system was only used by rich farmers, and traders in

market places as a tool for financing, but not applicable to the smallholder farmers. Also,

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Aikens et al. (1975) report that lack of access to capital or land could significantly affect

farmers’ perception and adoption decision.

2.4 Effect of WRS on Access to Credit from Formal Financial Institutions

Farmers’ access to credit is important to expand production and ensure continuous supply

of inputs to the farm. It facilitates agricultural mechanization and promotes economic

development (Nouman et al., 2013). Dittoh (2006) notes that access to credit is the major

problem of smallholder farmers in Northern Ghana where agriculture is the main

economic activity. However, financial services to smallholder farmers in rural areas by

formal financial institutions are hindered by problems such as high intermediation costs,

dispersed population, lack of track record and lack of suitable collateral (Onumah 2010).

Anang et al. (2015) indicate that access to agricultural credit in Northern Ghana is low

(40% of respondents have access) with small loan amounts (average of GH¢246.00).

Warehouse receipt systems can be a tremendous instrument for providing access to credit

to smallholder farmers (UNTAD, 2009)

Towo and Kimaro, (2014) disclose that WRS increases access to credit and plays a

remarkable role in facilitating agricultural activities and reduces poverty of rural farmers.

Access to credit is enhanced through the provision of database by the WRS that will ease

screening of borrowers by the formal financial institutions. The financial transactions of

farmers are therefore formalised, helping them to overcome the problem of lack of track

record. More importantly, the commodity stored in the system serves as collateral that is

acceptable by financial institutions for acquisition of loans (Onumah, 2003). Lenders can

therefore mitigate credit risk since this form of collateral is available and easier to

liquidate than most traditionally accepted assets. Similarly, KMP (2013) affirms that

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WRS makes it easier for lenders to monitor large number of borrowers by the help of

warehouse operators and collateral managers. This reduces transaction cost and

encourages commercial lending to the rural sector.

Commercial banks are the main participating lenders in a WRS. The warehouse receipts

obtained by smallholder farmers through their FBOs boost their confidence to seek for

loans from formal financial institutions. KMP (2013) asserts that warehouse receipt

financing enables banks to reach new sets of customers for financial services that they

usually find difficult to reach. This enables the banks to sell new products such as

insurance and loans to the farmers. Chitra (2014) however argues that most banks are

hesitant to accept warehouse receipts as appropriate collateral for loans. He concludes

that the willingness of banks to participate in WRS strongly depends on the legal

framework and successful operation of the system.

Hollinger and Rutter (2009) explain that banks that participate in warehouse receipt

finance often develop mechanisms that enable them monitor market trends and value the

loans properly. Formal financial institutions will initially be willing to give loans up to 55

to 65 % of the collateral value, and charge high interest rate. As confidence in the system

grows, the loan amount may increase to 80 % or even higher, with relatively low interest

rate. In order to increase the confidence of financial institutions in the system, Varangis

and Larson, (1996) reiterate that the value of warehouse receipts must be equivalent to

stored commodities. The quality and quantity of goods stored must be clearly stated on

the receipt. The rights, liabilities, and duties of all stakeholders must be clearly defined,

and there must be a performance guarantee for the warehouses. This guarantee affirms

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that the quantities and qualities stated on the receipt are the same as the stored

commodities.

Towo and Kimaro (2014) used both quantitative and qualitative methods to assess

whether warehouse receipt system has contributed in improving smallholder farmers’

access to credit. They found that WRS greatly enhanced credit access as they were

accepted by formal financial institutions. The other outcomes of smallholder participation

were improved farming technology, improved produce, and improved income. In a study

conducted by Mahanta (2012) to review warehouse receipt as an instrument for financing

in India, it was disclosed that warehouse receipts were issued by state warehouses for

lending purposes. In his study of warehouse receipts and securitization in agricultural

finance to promote lending to smallholder farmers in Africa, Onumah (2012) found that

WRS undoubtedly contribute to improving access to credit by smallholder farmers. The

paper suggests that the regulatory and legal issues be properly put in place to ensure

successful operation of the WRS.

Onumah and Acquah, (2011) conducted a study that sought to examine the outreach and

sustainability of inventory credit programme (ICP) in Ghana using both quantitative and

qualitative data between 1996 and 2003. They find that the outreach of the programme

got to the poor nationwide, with a depth of 25 – 47% measured in terms of loan size.

Findings further reveal that the ICP had a high loan recovery rate which made the

programme sustainable. These findings confirm the work of Kwadzo (2000) on inventory

credit: a financial product in Ghana, which found that the inventory credit scheme helped

over 100 farmer groups with loans amounting to over US$170,000 and almost 100 % of

the farmers repaid the loan.

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2.5 Effect of WRS on Access to Output Market by Smallholder Farmers

Smallholder farmers in developing countries have challenges in increasing production

and accessing remunerative output markets (Barrett, 2007). Smallholders are faced with

high input costs but low output prices due to fewer middlemen or buyers competing for

their produce. They also have weak access to supporting services such as market advice

and price information from institutions which together result in their inability to adopt

new technologies to expand production for the market (Wood, 2007). Omiti et al. (2009)

note that distance from farm to market centres is a major constraint to market

participation by smallholder farmers. Similarly, Coleman & Valeri (2006) establish that

transport constraints, which are linked to high costs of transport services, are important

reasons why smallholder farmers are unable to get their produce to formal markets to

obtain good prices.

Fafchamps and Gabre-Madhin (2006) attribute the lack of market access partly to poor

quality and quantity of goods being traded; this emanates from the absence of effective

systems of standard grades and measures. Similarly, Lauw et al. (2007) reveal that

smallholder farmers in South Africa are excluded from the main markets due to sub-

optimal production which is characterised by high production and transaction cost, and

poor quality making them less competitive. Balgah and Buchenrieder (2011) also

reiterate that the problem of market access by smallholder farmers is linked to

insufficient production and inability to meet desirable qualities and standards, which

makes it difficult to enforce contracts with buyers. Lyon (2009) concludes that

smallholder farmers in Ghana can create better access to market when they have access to

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market information, and develop trust based relationships with their buyers. Warehouse

receipt system (WRS) offers these services to farmers.

The WRS enables smallholder farmers to combine their produce through their

cooperatives or farmer based organisations for deposit in a certified or approved

community warehouse. This compels them to adhere to quality standards and minimum

quantity requirements. The guarantee of delivery by warehouse operators reduces the risk

of non-performance of trade contracts, ensuring trust of buyers in the system (DfID,

2009). This opens up smallholders to remunerative markets and increases their profit

margins. The system also ensures that buyers pay for the exact quality and quantity

described on the warehouse receipt (Gatachew et al., 2011). This avoids cheating of

smallholder farmers as normally occurred at informal markets. The development of

trusted delivery systems can also increase the hopes for successful operation of

commodity exchange markets (Onumah, 2010).

The WRS facilitates trade through reduction of the marketing chain and narrowed

distribution margins (Coulter & Onumah, 2002). The warehouses are used as delivery

points where trading takes place. This reduces transaction costs and information

asymmetry between market players and ensures transparent trade. In areas where

warehouses are networked nationwide, bearers of warehouse receipts are able to take

delivery of produce from a nearest licensed warehouse, and further minimises

transportation cost. In countries where the legal system support the warehouse receipt to

be used as a negotiable instrument, the receipt can be sold at any place, enhancing sight

unseen trade (Coulter, 2014). According to Chitra (2014), the WRS enables farmers to

deal directly with downstream buyers, and overcome asymmetric information within the

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market chain. This prevents the situation where farmers are chased by small number of

middlemen at the farm gate to buy at low prices.

Varangis and Larson (1996) observe that certain mechanisms need to be in place for

efficient operation of WRS to ensure output market access. First is a viable storage

facility and well trained warehouse operators. Two major problems hinder a successful

operation of a viable storage: government intervention whereby a fixed price is offered to

farmers during the crop year. This makes it unattractive to farmers who would have

stored their produce with the hope to get higher prices in future. Second, the high cost of

storage charged by warehouse operators discourage farmers from storing in the

warehouses. In order to ensure full participation of smallholder farmers in the WRS,

Onumah (2010) opines that market information systems need to improve to ensure

information on supply and demand, and the levels of inventories. FBOs and cooperatives

also need to be strengthened in order to enhance the possibilities of smallholder farmers

meeting the quantities and qualities required by the warehouse operators to obtain receipt.

KMP (2013) emphasise that a strengthened FBO enables individual farmers to be

educated on market behaviour and given the necessary tools to improve their businesses

and livelihoods.

Coulter and Onumah (2002) conducted a study on the role of warehouse receipt systems

in enhanced commodity marketing and rural livelihoods in Africa. The results they

obtained suggest that WRS, through the sale of standardised grains, curtails cheating on

weights and measures often suffered by smallholder farmers in the local market. The

WRS also moderates seasonal price variability, and promotes commodity marketing. A

study by Giovannucci and Varangis (2000) on warehouse receipts finds that warehouse

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receipt system eases access to credit and commodity market, reduces food losses, and

improves farmers’ income. Finally, a report by Katunze et al. (2016) on Uganda

warehousing receipt system confirms that actors in the WRS admit that the system boosts

market performance by increasing access to markets with high prices.

2.6 Effect of Warehouse Receipt System on Farmers’ Income

Coulter and Poulton, (2001) explain that farmers have low incomes from their farming

activities because they have have limited access to markets where good prices for their

produce could be obtained. Again, farmers lack good storage facilities where their

produce could be stored until prices appreciate before they sell. Consequently, they are

obliged to sell their excess produce during the harvest season, when farm gate prices are

low. Also, poor agronomic practices coupled with lack of credit makes it difficult for

farmers to obtain high yielding inputs that would help them increase productivity to raise

their incomes (IFAD, 2003).

Through participation in WRS, farmers obtain loans which enable them to acquire

adequate farm inputs to expand production and earn higher income. Farmers again have

access to storage facility that enables them postpone sales until prices are good. Post-

harvest losses at storage are also minimised through the proper storage procedures by the

WRS. Kiaya (2014) emphasises that post-harvest grain management, through proper

treatment and storage practices, are essential to minimising losses and increase farmers’

income.

WRS also introduces farmers to formal markets, where goods are sold at good prices for

higher income. Such markets also reduce transportation cost since goods are delivered at

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the warehouses (Hollinger and Rutter, 2009). The goods are also standardised and

graded. Farmers therefore obtain the right prices for their produces without being cheated

on quality, weights and measures.

A report by IFAD (2012) acknowledge that in Tanzania, prices of grains appreciated up

to 300 percent after the establishment of WRS. The report explained that the WRS

enhanced farmers’ credit accessibility and improved the quality and quantity of their

produce for better prices. This raised farmers’ income tremendously and enhanced their

livelihoods. Similarly, Coulter (2014) in his study on appropriate warehousing and

collateral management systems in Sub-Saharan Africa, finds that WRS increases farmers

income by:

- Enhancing farmers’ access to inputs, equipment, or advisory services that lead to

increase in productivity

- Providing better storage facility and crop handling techniques that minimises

post-harvest losses at storage

- Developing grain standardization and grading systems that attract high prices for

produce

2.7 Institutional Arrangement for the Successful Operation of WRS

Hodgson (2006) defines institutions as systems of established and prevalent social rules

that structure social interactions. Institutions are essential for the development of every

economy; they control economic behaviour and reduce the cost of transaction between

actors engaged in economic activity in order to promote productivity (Williamson, 1985).

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North (1990) reiterates that institutions are developed to ensure order and minimise

uncertainty in exchange.

Warehouse receipt systems (WRS) can only be successful in ensuring smallholders’

access to credit and output market when legal and institutional framework are in place.

Uganda is one of the African countries with successful operating WRS. After the

establishment of WRS in Uganda through the Ministry of Trade, Industry and

Cooperatives, it was supported with strong legislation (Warehouse Receipt System Act

2006, and Warehouse Regulations 2007). The legislation enabled the warehouse receipts

to be used as negotiable instruments that helped to build trust and confidence among

stakeholders (IFC, 2013). The legislation again enhanced the work of the regulatory body

to properly control all activities of the WRS. Inspection intelligence of the regulatory

body helps in dispute resolution that are emerged from quality and quantity issues.

Conversely, financial institutions in Zambia are uncertain to lend against warehouse

receipts because the receipt is not backed by law to be used as a negotiable instrument

(Andrews et al., 2012). Onumah, (2010) admits that lending against warehouse receipts is

possible in a situation where there is poor or no legislation. However, transaction cost is

higher in such situations, and banks often hesitate to approve the transactions. Thus, bank

risk managers and credit committees are more comfortable to lend in an environment

where there is strong legislation in place. The Federal Reserve of United States as well as

the Bank of England in United Kingdom have low interest rates for loans contracted with

warehouse receipts, since it is backed by legislation (FAO, 1995). Other countries such as

Hungary and Slovakia have specialized warehouse receipt legislation for their WRS.

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Lending institutions in such countries prefer to accept warehouse receipts from

warehouses that are backed by insurance services or indemnity fund.

Again, a well organised and dependable market information system is essential for all

stakeholders in WRS to make informed decisions on when to deposit or sell grains.

Market information and price projections also enable banks to determine the value of

collaterals and structure loans accordingly. This is possible in countries where there are

well developed commodity exchange market systems.

According to North (1990), institutions play five potential roles in strengthening markets

for commodities produced, bought, and sold by small-holders. These are, reducing

transaction costs; managing risk; building social capital; enabling collective action; and

redressing missing markets. These are discussed in the following sections.

Reducing Transaction Costs:

According to Aoki (2001), the role of institutions in reducing transaction cost can be well

understood from the point of complexity of market exchange. Coordination is essential in

market exchange where actors do negotiation, monitoring and enforcement of contracts.

These activities involve costs that can be reduced when institutional arrangement ensures

adequate flow of information. Access to information encourages sight unseen trade and

reduces transportation cost.

Managing Risk:

Risk in economic activities such as financial or commodity market emerges when there is

lack of trust among actors or stakeholders engaged in transactions. A proper institutional

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arrangement that clearly defines roles and obligations of all actors promotes trust and

reduces risk. A legal framework puts confidence in all stakeholders and ensures

enforcement of contracts.

Building Social Capital:

Social capital refers to “the internal social and cultural coherence of society, the norms

and values that govern interactions among people and the institutions in which they are

embedded” (Serageldin, 1998). Social capital is not only about the institutions that

underpin society, but also the bond that holds them together. It includes rules for social

conduct, shared values, personal relationships, trust, and civic responsibility that make a

society more than a collection of individuals. It is the building of social capital that drives

formation of local associations and collective action. There is evidence that local

associations and networks contribute immensely to development of a society and the

well-being of households (Woolcock, 1997). The building of social capital enhances

information flow and transfer of knowledge in a society. Social capital promotes demand

driven and bottom-up approach of development.

Enabling Collective Action:

In the perspective of globalisation and market integration, smallholder farmers, compared

to large commercial farmers, are often at disadvantage due to lack of information,

essential services, capital, poor quality produce, and unfavourable government policies

(Kalikoski and Franz, 2014). Farmers may also be excluded from decision making or

governance in matters that directly or indirectly affect their well-being. Farmers’

collective action approach has been suggested as a vital solution.

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Collective action is defined as voluntary action taken by a group to pursue common

interests or achieve common objectives (Meinzen-Dick and Di Gregorio, 2004).

Members of an organisation may act independently or with the support of external bodies

such as governmental or non-governmental organisations for a common goal. In Bolivia,

Ecuador, and Peru, collective action led to team work, social networks, knowledge

sharing and interpersonal trust that promoted market participation by smallholder

farmers, business contacts, and newly improved production processes (Devaux et al.,

2007).

Redressing missing markets:

Gabre-Madhin (2006) suggests five important ways of redressing missing market in an

economy: capacity building throughout the marketing systems, including small and

medium private traders, and cooperatives or FBOs; ensuring competitiveness among all

market actors; reduction of risk through mechanisms such as transferable warehouse

receipts or other negotiable instruments; financial institutions meeting the financial needs

of traders and producers; and provision of dispute settlement and regulatory systems such

as trade associations.

Torero (2011) confirms that any organisation that connects farms to market, minimises

transaction costs and reduces risk will enhance smallholder farmers’ market participation.

Ministry of Food and Agriculture; Ministry of Trade and Industry; Ghana Standards

Authority; Ministry of Local Government and Rural Development are the public

organisations whose institutional support is primarily required to influence the

performance of WRS in Ghana. The private organisations are financial Institutions, and

the Ghana Grains Council.

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2.7.1 Responsibilities of the Ministry of Food and Agriculture (MoFA)

The Ministry of Food and Agriculture operates with a mission to promote sustainable

agriculture and thriving agribusiness through research and technology development,

effective extension and other support services to farmers, processors and traders for

improved livelihood. It has the mandate to develop and implement policies and strategies

for the agricultural sector in order to enhance food production, planning and co-

ordination of development projects in the agricultural sector and, monitoring and

evaluation of the projects and programmes established to assess their progress. In 2012,

MoFA formed a national task force charged to help develop a reliable warehouse receipt

system (Coulter, 2014).

Through its policies such as Food and Agricultural Sector Development Policy (FASDEP

II), MoFA has the following objectives:

- Improve food security and readiness for emergencies

- Improve the coordination of institutions

- Improve growth of incomes of farmers

- Increase the application of science and technology in food and agricultural

development

- Increase competiveness and integration of farmers into domestic and international

market

- Enhance sustainable management of land and environment

Through its regional offices and Departments of agriculture at the district level, MoFA is

responsible for providing extension services to farmers, and helping them develop farmer

based organizations (FBOs). Formation of FBOs can enable farmers to use warehouse

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receipts to store their produce in order to sell them in the lean season when prices are

high. Lessons learnt from Tanzania in that country’s operation of WRS reveals that

farmers benefit most when the aggregation, depositing and marketing are done by the

FBOs instead of second or third party representatives (Onumah, 2010).

2.7.2 Responsibilities of the Ministry of Trade and Industry (MoTI)

The Ministry of Trade and Industry is responsible for the formulation, implementation

and monitoring of trade in Ghana. The Ministry is also responsible for private sector

development. It uses its departments and agencies to ensure successful operation of

domestic trade to benefit the country. To achieve this aim, the sector Ministry is

mandated to provide adequate market information to all stakeholders in the marketing

chain. This can be done through regular publication of prices of traded crops; supply and

demand, including timely crop forecasts. Such information enables farmers to have a fair

idea about the best time to sell. It also helps financial institutions to assess the market

value of a particular crop in its collateral considerations, during processing of loans

(Krassimir et al., 2007). KENFAP (2011) acknowledge that access to reliable market

information is essential for successful operation of a WRS. It boosts the confidence of

financial institutions in the system, and aids trust building among actors in the system. In

2012, MoTI established a National Technical Committee for the development of

commodity exchange market and its supportive warehouse receipt system. The work of

the committee led to the drafting of two legislative instruments that are before parliament

(Coulter, 2014).

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Through appropriate policies, the Ministry of Trade and Industry is also responsible for

curbing excessive food price variability. It does this by management of imports; adoption

of anti-monopoly legislation and other regulations to protect consumers; and expansion

of internal trade to ensure availability of goods at reasonable prices. Giovannucci et al.

(2000) argue that general price increment after harvest season is essential in the WRS, in

order to cover the cost of storage. This also makes delayed sale attractive to farmers and

enables them obtain high benefit. Government intervention to protect the market inhibits

the smooth operation of WRS.

Core Functions of MoTI

- To formulate policies that ensure collaboration of all sectors in trade relations

- To ease access to capital by the private sectors

- To facilitate innovation and entrepreneurship

- Improve entrepreneurial skills, use of technology and access to credit and markets

- To develop programmes and activities for capacity building of market institutions

- To develop standards and quality systems to meet production requirements for

local and international markets

- To enhance production and expansion of cross-border trade

- To collect and disseminate timely and accurate market price information for

stakeholders

- To ensure private sector development

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Ghana Standards Authority (GSA)

The Ghana Standards Authority is an agency of the Ministry of Trade and Industry. It

was issued as the Standards Decree, 1973 (N.R.C.D. 175), and was established to

propagate standards and ensure high quality of goods produced in Ghana, whether for

local consumption or for export. The authority, as part of its functions, has the mandate to

educate government departments, local authorities and any other public bodies on matters

concerning standardisation and commodity grading, with respect to quality, weights and

measures. Giovannucci et al. (2000) emphasise that quality standards and grades are

important in the WRS in order to give a precise description of the quality of goods in

storage to buyers, without the need to physically inspect the goods. Grading and

standardisation of grains stored in the WRS is also essential to allow comingling of goods

and ensure that farmers withdraw the same quality of commodities as deposited. Grades

and standards further makes it easier for financial institutions to evaluate grains used as

collaterals and determine their value (Krassimir, 2007).

The GSA is mandated by the legislation to undertake:

- National Standards development and distribution

- Promoting standardization in industry and commerce

- Promoting standards in public and industrial welfare, health and safety

- Product certification scheme

- Approval of new weighing and measuring instruments

- Destination inspection of imported high risk goods

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- Calibration, verification and Inspection of Weights, Measures and Measuring

Instruments

- Advice the Ministry of Trade, Industry, on standards and related issues

- Providing quality assurance through inspection, testing and metrology

2.7.3 Responsibilities of the Ministry of Local Government and Rural Development

The Ministry of Local Government and Rural Development, as part of its rural

development agenda, is responsible for the construction and maintenance of rural roads;

Information and Communications Technology; Tourism and Agricultural processing; and

Building of market settlements with warehouses. It is also in charge of improving the

capacity of communities and local government institutions to organise, and manage

resources for accelerated rural and urban development. The Ministry is therefore

responsible for development of rural road networks to link areas of food production to

markets and warehouses.

Since the Ministry also houses agricultural departments, they see to the implementation

of policies and interventions that are brought from national and regional MoFA offices.

The agricultural departments are therefore in charge of providing extension services to

farmers in rural areas, and building of community warehouses as social intervention

programmes to minimise post-harvest losses and to facilitate the operation of WRS. The

enhancement of information and communication technology is also imperative for the

operation of financial institutions in the rural areas, to enable smallholder farmers gain

access to financial services through the WRS.

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2.7.4 Responsibilities of Financial Institutions

Access to financial services is the main reason for the establishment of warehouse receipt

system (Towo and Kimaro, 2014). The role of local banks is therefore significant to

successful operation of WRS. In order to ensure sustainable delivery of services to

participants of the system, bank staff need to be trained to follow established internal

procedures, including monitoring of prices of commodities in stock that are used as

collateral. Lenders should also have the ability to determine the existence of the

commodities in stock, in quantities and qualities as stipulated on the receipt before

granting the loan. Hollinger & Rutter (2009) reveal that the Federal Reserve of United

States and the Bank of England have special discount windows for loans that are

contracted with warehouse receipts. This is because the commodities used as collateral

are stored outside the premises of the borrower, making it easier to foreclose in case of

default.

In order to increase the acceptability of warehouse receipt by traders and banks, there

must be an insurance cover for warehouses that provides compensation for actors in case

of any catastrophe. Experience on performance guarantees designed for Poland is a

combination of insurance bonds and an indemnity fund. The indemnity fund, which is

given in the form of a contingent loan, is set up by the participating enterprises or

farmers. The insurance bonds cover losses up to a certain threshold beyond which, the

indemnity fund comes in to assist (Giovannucci et al., 2000).

In Ghana, four banks are stakeholders of the WRS. These are, Ecobank Ghana Limited,

Agricultural Development Bank, Stanbic Bank, and CCH Finance Limited. Lending to

the patrons of the WRS to date has been solely by Stanbic Ghana Ltd., through the CCH

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Finance Ltd. Repo scheme (Coulter, 2014). The lending involves high interest rate,

ranging from 20% to 48% per annum. Cost of insurance policies range from 0.7% to

1.5% of the insured value, depending on the assessment of risk by the insurance company

(Coulter, 2014).

2.7.5 Responsibilities of the Ghana Grains Council (GGC)

The warehouse receipt system in Ghana was established by the Ghana Grains Council. It

is a private sector organisation limited by guarantee and was incorporated in February,

2010. GGC is mandated as the principal regulatory body responsible for the

administration, interpretation, and enforcement of the regulation of the WRS. The

specific objectives of GCC, as explained by Kelly et al. (2014) are to, advocate for

favourable government policies and legislations in the grains sector; develop a warehouse

receipts system that can certify and enforce agreed standards in the grains industry;

increase quality, productivity and profitability in the grain value chain; ensure the

dissemination of market price information; and ensure institutional sale of standardized

grains.

It is the responsibility of the GGC to license any person who participates in the WRS.

Four types of licenses are currently used by the Council: i) License for Warehouse

Constructions, ii) License for Warehouse Operators, iii) License for specialised staff

employed by Warehouse Operators including graders, weighers, and grains inspectors

and iv) License for Warehouse Inspectors.

Through the warehouse inspectors, the GGC is mandated to check all the warehouses to

make sure they are in good condition, and the warehouse operators, and all the handlers

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follow laid down procedures. In order to make the warehouses accessible to various

depositors and traders, the GGC is responsible for establishing a national network of all

warehouses as piloted in Zambia (Coulter, 2014). The council is also mandated to involve

more financial institutions in the system to facilitate financing to smallholder participants

in the system.

A few authors have conducted researches on the Technoserve inventory credit scheme in

Ghana. There was a study by Onumah and Acquah, (2011) that examined the outreach

and sustainability of the inventory credit programme (ICP) in Ghana using both

qualitative and quantitative data between 1996 and 2003. The study disclosed that the

outreach ICP was extended to the poor with a depth of 25 - 47% (nationwide) measured

in terms of loan size / GNP per capita. Kwadzo (2000) also conducted a research on

inventory credit: a financial product in Ghana. The findings of the study revealed that the

inventory credit scheme assisted over 100 farmer groups with more than US$170,000

loans and almost 100 % repayment rate.

Coulter (2014), in his study on appropriate warehousing and collateral management

systems in Sub-Saharan Africa (Volume I) touched on progress made so far on the Ghana

Grains Council’s WRS. However, no work has been done to assess the impact of Ghana

Grains Council’s WRS on access to credit, access to output market, and income of

smallholder maize farmers in the Northern region of Ghana. This study therefore seeks to

fill that gap in order to contribute to knowledge.

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CHAPTER THREE

METHODOLOGY

3.1 Introduction

This chapter describes the methodology used to accomplish the objectives of the study. It

specifically deals with the conceptual framework, theoretical framework, methods of data

analysis and methods of data collection. The characteristics of the study areas and the

population that informed the calculation of the sample size are also described. Finally, the

limitations of the study are also presented.

3.2 Conceptual Framework

The conceptual framework for the research is illustrated in Figure 3.1. The study

conceptualises participation of smallholder farmers, institutional support services and

enabling environment as integral factors for successful operation of Warehouse Receipt

System (WRS). The Ghana Grains Council (GGC) works in close collaboration with the

public organisations to formulate policies and establish institutions needed for the

successful operations of WRS in Ghana. Institutional support such as enabling policies

and legislation, grain standardisation and grading, and market information systems

sanitises the environment for the WRS and provides fertile grounds for stakeholders to

operate. The GGC which is the regulatory body of WRS entices smallholder farmers to

participate in the WRS through its promotional activities. The GGC also provides license

and technical advice to the warehouses and their operators. The GGC and public

organisations take feedback from the warehouses and in order to strengthen the

institutions.

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The capacity of smallholder farmers to participate in WRS depends on the quality and

quantity of output (KENFAP, 2011). It is therefore important for smallholder farmers to

combine their produce with other farmers through farmer based organisations or

cooperatives at the community warehouses system. This enable the farmers to obtain

adequate quantities of output required to earn a warehouse receipt (WR) at the electronic

warehouses and also benefit from other support services such as research and extension,

market information, and financial services.

CERTIFIED WAREHOUSE

Maize Storage WR

Access to Credit WR

Financial InstitutionMarket Access

Maize Cash PaymentBuyer

WR WR

Figure 3.1: Conceptual framework for the activities and functions of WRS.Source: Adapted from Onumah (2012)

The access to storage facilities in WRS reduces post-harvest losses and allows farmers to

extend sales period beyond the harvesting season for higher commodity price. The

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warehouse receipt obtained from the electronic warehouse is used as collateral against the

commodity in stock to access credit from formal financial institutions which are shared

among the individual participating farmers. The credit is used to acquire quality inputs to

improve farming activity which helps to increase productivity. The improvement in

productivity paves way for farmers to access formal market (Towo and Kimaro, 2014).

Increased productivity and high price from later sales enable farmers to improve their

income tremendously.

In a situation where farmers, through their FBOs, pledged their WR to obtain credit from

a lending institution, buyers who wish to buy their grains have to pay directly to the

lending institution to obtain the receipt. The WR is then taken to the warehouse to

retrieve the grains. Legal framework and the establishment of commodity exchange

market are essential to make the WRS attractive to financial institutions and other

stakeholders to participate in the system. Legal framework also defines the context of

operation of WRS. Good management and regulatory oversight are necessary to enable

all actors play their roles to ensure sustainability of the system.

3.3 Theoretical Framework

This section discusses the theories of storage, access to credit, access to market, and the

theories of perception about innovations and how they are linked to participation of

warehouse receipt system (WRS). The theories of impact analysis are also discussed here.

3.3.1 Theory of Storage and Inventory Management

Thurman (1988) in his theory of storage admits that the future price of a stored grain is

expected to exceed its price soon after harvest, but there will be a storage cost incurred.

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The theory strongly argues that the returns from later sales of grains should depend on the

level of inventories. This is because inventories can be used to avoid supply or demand

shock. When the level of inventory is large, returns from later sales will decrease due to

increase in quantity supplied and vice versa. This theory is consistent with the assertion

of Williams and Wright (1991) that the producer price of grains immediately after harvest

can be low or high depending on the level of inventory. When inventory soon after

harvest is large (when few of those commodities are stored) leading to increase in the

quantity supplied, spot price of the commodity will be depressed leading to low income

of farmers. On the other hand when most farmers store their grains after harvest, spot

price will be high due to decrease in quantity supplied which will lead to increase in

income.

Inventory management is an essential part of public warehousing which may determine

the success of the whole business. Inventory control involves keeping records and

accounting for the grains that are brought, stored, and taken from the warehouse. Grains

lose weight at storage due to loss of moisture and removal of chaff. The best practice is

therefore to make upward adjustments during weighing in order to make room for the

cleaning and moisture loss. Again, a good inventory management includes monitoring a

number of activities, including minimization of handling losses and mitigating theft

incidence.

3.3.2 Access to Credit

Access to credit, is defined here as absence of price or non-price barriers in the use of

credit from financial institutions (Bougheas et. al, 2004). Access to credit can be

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explained by certain indicators that may facilitate or reduce access, as explained by

Anjali (2005). First, the indicators distinguish between the users of credit and non-users.

Second, access can be measured in terms of financial institutions and their financial

services with respect to specific financial products. Third, measurement may depend on

the total amount obtained from the financial institution; whether it is adequate for the

purpose for which the credit was taken. Finally, access may be measured based on the

individual’s direct access from the financial institution or indirect access through a

member of household who may take loan and share among other members who need it.

Non-users of credit are those who have access, but choose not to take loans due to

cultural or religious reasons or because they do not need it. Others are unintentionally

excluded from taking credit from formal financial institutions because they do not have

bank accounts that provide details of track records. However, others might be

discriminated against in giving credit based on social, religious, gender or ethnic grounds.

Some people have bank accounts but may not be credit worthy. In that case, no bank will

be willing to give them loan facilities (Towo and Kimaro, 2014).

Access to credit can also be measured in terms of availability of financial institutions and

the specific functions or services they provide (Oya et al., 2012). Certain banks do not

offer loans to agricultural producers because they consider farming a risky venture.

Others, by their policies, give loans to agricultural producers but might not have branches

in the rural areas where farmers are concentrated. This is because the operational cost in

reaching out to such people might be too high due to lack of infrastructure such as good

road network, electricity and telecommunication facilities.

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Finally, the interest on loans might be too high for farmers due to high transaction cost on

the part of the financial institutions. Apart from high operation cost that emanates from

poor roads and lack of other infrastructure, the dispersed nature of rural population and

lack of proper data and track records of farmers increase the interest rate on loans to

farmers. This makes it unattractive to farmers to access credits from such banks. Those

who may be willing to take loans may lack assets that might be accepted by banks as

collaterals (Towo and Kimaro, 2014).

Access to credit may also be measured based on the household as a unit or individuals in

the household. But the demographic data of individuals in a household will be lost if the

household is used as a unit of response (Barr et al., 2007). It must also be noted that if

one member of a household has direct access to credit, it does not necessarily mean that

all members in the household have access. However, it is important to measure indirect

access to credit by an individual through another member of the household. This is

because one member of a household can take a loan and share it with members of the

household who may need it. Nevertheless, this study measures individual direct access to

credit from formal financial institution and not the household.

In addition to the core indicators discussed, additional indicators that affect financial

access by smallholder farmers as suggested by Beck et al. (2005) include insurance,

regular cash flow, savings with a formal financial institution, living in a locality of

mobile phone coverage as well as farmers receiving money regularly (e.g. remittances)

through formal financial institution.

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3.3.3 Access to Market

Financial position of farmers does not only depend on their access to credit from financial

institutions, but their ability to obtain higher incomes when they gain access to output

markets. As described by Sadoulet and De Janvry (2010), farmers in rural areas are

poorer, less productive, and less linked to urban markets. Market access is broadly

defined as all determining factors, including public institutions, the regulatory

environment, and network industries that jointly remove all barriers and facilitate sale of

goods and services (Hugo et al., 2006). In their attempt to define what constitute barrier

to market access, Chamberlin and Jayne, (2013) explain that smallholder farmers are

faced with higher cost of farm inputs but lower output prices, limited access to supporting

services which result to inability of farmers to adopt new farming technologies, low

productivity, and fewer buyers competing to buy produce of farmers.

Access to market has been hindered by bad road networks, costs of transportation, travel

time to urban markets, among others. Overa (2006) indicates that telecommunications

technology such as the use of mobile phones prevents information asymmetry over

dispersed areas. Mukwevho and Anim (2014) identify transaction costs, agricultural

extension education, level of formal education of farmers, distance of farm or home to

market, and farming equipment owned by farmers as highly significant variables that

influence the market accessibility of farmers. Neven et al. (2009) find that farmers who

supply food items to markets were all within 100 km of the urban centre and close to

major road networks. Travel times to market, road networks, and bus services have also

been found to be correlated with market access.

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In order to establish the range of market access indicators used in current research,

Chamberlin and Jayne (2013) also identity walking time to local market, distance in

kilometers, cost of transport of a bag of maize to the market, and good road networks.

Coulter and Onumah (2002) disclose that warehouses are used as delivery locations in the

warehouse receipt system (WRS) thereby saving farmers the cost and time of travelling

to local or urban markets to sell. The standardised and graded grains stored in the WRS

promote sight-unseen trade. Warehouse operators also provide information on the

quantity and quality of grains available, and this attracts buyers to buy from the

warehouses.

Smallholder farmers who give out their labour to work in other farms instead of

concentrating on their own farms often reduce their productivity (Ferris et al., 2014).

Barham and Chitemi (2009) also suggest that farmers linked to larger markets have

access to irrigation facilities and do not solely depend on rain fed environment. This

enables such farmers to have increase in production even in drought season. Membership

of farmer base organisation enhances social interaction of farmers. This facilitates

diffusion of information and sharing of ideas. Access to market information, which can

also be facilitated by communication technology such as mobile phones, enables farmers

to adequately prepare to meet the required quality and standards of the market (Ferris et

al., 2014). Distance to main market, available road networks, condition of road, access to

transport services, and transport cost are included because they determine the time of

getting goods to market and meeting the demands of buyers as scheduled. Already

established business relations by farmers also facilitate sales of commodities.

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3.3.4 Theory of Perception

The Reflexive Theory of Perception (RTP) asserts that perception by an organism about

an object is caused by the characteristics of the same object which makes the organism

acquire some mind-set towards the object (Dilworth, 2005). This theory implies that any

perceptual behavior of an individual about an object, whether correct or incorrect, is

caused by the kind of information acquired by the individual on the object. The theory

pre-supposes that individuals develop positive perceptions about innovations or

programmes such as warehouse receipt system (WRS) when they obtain adequate

information concerning the benefits of the innovation during the promotional stage.

Conversely, individuals develop negative perceptions about an innovation when they

obtain wrong or negative information.

Act theory of perception has a different view about the perceptual behaviours of

individuals. According to this theory, perception has a cause, meaning, and can be

interpreted (Fields, 2013). The theory explains that individuals may exhibit perceptual

behaviours based on the kind of information obtained (causal process). However, the

information obtained might be misinterpreted due to wrong meaning acquired, and might

result to misperception.

On the other hand, representationalist theory states that individual’s perceptual behaviour

might not be influenced by any external cause. The theory clarifies that individuals have

their own brains which are used to logically interpret what they see or hear. The

perception of such people might therefore not be the cause of positive or negative

information obtained. The theory signifies that the perception of farmers about a

programme such as WRS might not necessarily be based on the kind of positive or

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negative information they acquired. The perception may rather base on the result

obtained when the information is analysed based on evidence from previous programme

they participated or witnessed.

There is other school of thought, as explained by the disjunctive theory of perception.

According to this theory, there are two basic natural beliefs about perception of objects.

The first is that, every object perceived is independent on the mind of that individual who

perceives it (Martin 2002). Therefore, the judgment of innovation, whether positive or

negative, solely depends on the nature of the innovation perceived without comparing it

to any other programme thereof. This implies that for an innovation such as WRS to

enjoy positive perceptions by farmers, it should be well designed to attract the farmers.

The second natural belief is the linkage between the nature of the object perceived and

the perceptual experience of the individual in question. The second conviction is similar

to the representationalist theory which suggests that when an innovation is presented to

an individual, the innovation is compared to a similar programme formally experienced

by the individual, which therefore influences the perceptual behaviour.

3.3.5 Approaches and Framework of Institutional Analysis

Approaches used in system analysis in marketing include; Agricultural Science

Technology Innovation (ASTI) systems (CTA, 2015), Institutional Analysis and

Development (IAD) (Ostrom, 2011), Value Chain Approach (Porter, 1985), and Agro-

Industrial Project Analysis (Austin and Duren, 1993).

IAD framework involves (1) exogenous variables which include physical environment or

action situations, characteristics of communities, and the legislation or rules governing

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the operation of human activities; (2) actors whose activities are affected by the

exogenous variables; (3) and the behaviour of actors in the environment or action

situation that are expected to achieve specific results (Ostrom et al., 1993). The kind of

results that obtained helps to shape the exogenous variables and the situation of the

actors.

The first step in analysing institutional arrangement of a particular project by the IAD

approach is to identify the environment or action situation that could be used to explain

or describe behaviours within the institutional arrangements (Ostrom, 2011). The action

situations are the social systems where individuals operate, share ideas, market their

products, and solve problems, among others. The operation of actors (individuals or

organisations) within the action space or environment is shaped by the resources

available to them, how they obtain knowledge and solicit for information, and how the

knowledge attained is applied to solve specific problems.

Depending on the state of action situation and the particular assumptions about actors

employed in a given project, an institutional analyst can make predictions of possible

outcomes under different institutional arrangements (Walker and Ostrom, 2009).

Some of the theories that are considered in the IAD approach are the economic theory,

game theory, social choice theory, and transaction cost theory (Ostrom, 2010). The game

theory is about how individuals in a society interact with one another, and how their

behaviours positively or negatively affect one another, in the context of institutional

arrangement. The game theory operates on the assumptions that individuals are rational

and given a well-defined objectives, they will act in a manner that their behaviours will

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not negatively affect the other. The game theory is therefore defined as “a systematic

study of strategic interactions among rational individuals” (Kockesen and Efe, 2007, p.

8).

Transaction cost theory (TCT) explains that there are costs involved in operations

through the market that can be reduced through other instruments apart from markets

(Williamson, 1985). Some of these costs come as a result of negotiation, information

acquisition, and assessment of input, measurement of output, monitoring and

enforcement of contracts. The TCT operates on several assumptions such as the

assumption about human and human behaviour (opportunism with guile and bounded

rationality); and assumptions about environmental characteristics (asset specificity,

uncertainty and frequency of transactions). The economic theory looks at how such

assumptions are reasonably related and the conclusions that can be obtained from them.

These theories and assumptions are considered in the IAD approach of institutional

arrangement.

3.3.6 Theory of Impact Analysis

The theory of change is essential for impact evaluations. The ‘theory of change’ explains

how specific activities lead to specific outputs, and how specific outputs lead to specific

outcomes that contribute to attaining the ultimate impacts (Rogers, 2014). Understanding

the social system, political and economic setting in which an intervention occurs helps to

design an appropriate impact estimation method. This is because the impact of similar

interventions can vary in different environment due to variations in social, political and

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economic settings. Again, the programme environment also helps to anticipate probable

impact heterogeneity, which is usually considered in the computation of the sample size.

Evaluation of impact of an intervention is conducted using a suitable counterfactual, in

reference to a control group in order to prevent selection bias and spillover effects

(Asfaw, 2010). It is important to employ different forms of factual analysis to

complement the counterfactual estimation of impact. Targeting analysis is the common

form of factual analysis which ought to be considered in most impact evaluations. There

must be a defined target group in impact analysis in order to easily identify targeting

errors and their sources; and whether such errors can be quantified.

Impact analysis in most studies have employed single econometric models such as

correlated random effects (CRE), double hurdle, and other fixed effect models (Smale &

Mason, 2013). However, the estimates of single models are not robust because each has

its own limitations which cannot be rectified individually. This study uses endogenous

switching regression model (ESRM) for the analysis. The result of the ESRM is

confirmed by another result from propensity score matching (PSM).

ESRM corrects any potential endogeneity and sample selection bias which may arise

from other interventions for farmers (Alene and Manyong, 2007). PSM is used in the

study because it compares the observed outcomes of participants of a programme to the

outcomes of counterfactual non-participants (Heckman et al., 1998). PSM ensures that

any interventions earlier made that could have affected the outcome variable are balanced

between the treated and untreated parameters (Abadie, 2005). It can also reduce the

overall bias in estimating differences in treated and untreated parameters.

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3.3.6.1 Endogenous Switching Regression

ESRM is an econometric model used to analyse a decision process that involves choice of

an option. It is used in the estimation of treatment effects when there is non-random

allocation of subjects to treatment and non-treatment groups (Alene and Manyong, 2009).

Suppose that we consider a latent continuous variable Y* that is normally distributed

with mean µ and variance σ2. The standard Tobit model is given by

Y* = Xβ +εY = Y* if Y* > 0

Y= 0

if Y* ≤ 0.

…………………………………………..………… (3.1)

Modeling of the impact of WRS on access to credit, output market and crop income

under the ESRM framework proceeds in two stages: The first stage is the decision to

participate in WRS (Equation 3.1), and this is estimated using a Probit model; in the

second stage an Ordinary Least Squares (OLS) regression with selectivity correction is

used to examine the relationship between the outcome variables and a set of explanatory

variables conditional on the adoption decision. The two stages or regimes employed helps

to overcome the endogeneity and selection bias, using the ESRM framework. The two

outcome regression equations, conditional on adoption can be expressed as:

Regime 1 (a = Participants) : y1i = β1x1i + ε1i if S = 1

Regime 2 (b = Non participants) : y2i = β2x2i + ε2i if S = 0 …………….. (3.2)

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y1i, and y2i are smallholder farmers’ access to credit, output market, and income for

regimes (1) and (2) respectively, x1i and x2i are vectors of exogenous factors that are

thought to influence adoption in WRS; β1 and β2 are vectors of parameters to be

estimated; and u1i and u2i are random disturbance terms. These are assumed to have a

trivariate normal distribution, with mean vector zero and non-singular covariance matrix

shown below (Wooldridge, 2002).

12 . 1 Cov (ε1i, ε21, ui) = ( . 1 22 2 ) ………………………………… (3.3) 2where 12 and 22 are variances of the stochastic disturbance terms in the regimefunctions in equation (2). 2 is the variance of the stochastic disturbance term in the

selection equation shown as equation (1). 2 represents the covariance of the

stochastic disturbance terms in equation (2) while 1 is the covariance of ε1i and ui. .

2 is the covariance of ε2i and ui. The covariance between ε1i and ε21 is not defined because y1i and y2i from equation (2) are not determined simultaneously and it was assumed that 2 =1 because α is estimable only up to a scalar factor (Maddala, 1983).

A useful implication of the error structure is that the stochastic disturbance terms from

the regime equations shown in equation (2) are correlated with the stochastic disturbance

term in the selection equation. Therefore, expected values of the stochastic disturbance

terms from the regime functions in equation (2) conditioned on sample selection are not

equal to zero as shown below:

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Where Φ is the standard normal cumulative density function and φ is the standard normal

probability function. If the estimated 1 and 2 are statistically different from zero, the null hypothesis of absence of self-section is rejected. This means that the decision to participate in WRS and the outcome variables (access to credit, access to output market and crop income) are correlated (Maddala and Nelson, 1975).

Full Information Maximum Likelihood Estimation (FIMLE) is used to estimate the

endogenous switching regression model (Shiferaw et al. (2008). FIMLE estimates the

decision criterion and the regime regression equations at the same time. Given the

assumption with respect to the distribution of the stochastic disturbance terms, the

FIMLE of equations (3.1), 3.2 and (3.3) is given as:

( )( 1 )= ∑ { ( { ( ) +

1

}) + −1 1

1

( 2 )(1 − ) ( {1 − ( )} + (

2

} ………..…………………. (3.6)

2

2

Where = ( + / ) j = 1, 2. φ is the standard normal cumulative distribution√1− 2

function, f is the standard normal probability density distribution function, wi is an

optional weight for observation i, σ1 and σ2 are standard deviations of the error terms

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from the two regime equations. Again, ρ1 and ρ2 are correlation coefficients between ui

and respective stochastic disturbance terms from the two regime equations. After the

parameters are estimated, the study then estimates the access to credit, output market and

farm income of smallholder farmers that participated in WRS and those that did not

participate

Conditional Expectations, Treatment and Heterogeneity Effects

Endogenous switching regression model can be used to compare the following: The

expected access to credit, access to output market, and crop income of smallholder

farmers that participated (a) with respect to smallholder farmers that did not participate

(b). It is also, to investigate the expected access to credit, access to output market, and

crop income in the counterfactual hypothetical cases (c) that the participated smallholder

farmers did not participate, and the counterfactual hypothetical case (d) that the non-

participated smallholder farmers participated. The conditional expectations for the

outcome variables in the four cases are presented in table 3.1 and defined as follows:

( 1 | = 1) = 1 1 + 1 1 …………………………………………. (3.7)( 2 | = 0) = 2 2 + 2 2 ………………………………………….. (3.8)( 2 | = 1) = 1 1 + 2 1 …………………………………………. (3.9)( 1 | = 0) = 2 1 + 1 2 …………………………………………. (3.10)

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Table 3.1: Treatment, Heterogeneity and Transitional Heterogeneity EffectsSub sample Decision stage Treatment

effect

To adopt Not to adopt

Farmers that Participate (a) (c) On the treated

( 1 | = 1) ( 2 | = 1) (ATTi)

Farmers that do not Participate (d) (b) On the untreated

( 1 | = 0) ( 2 | = 0) (ATUi)

Heterogeneity Effects BH1i BH2i T H

Where outcomes (a) and (b) represent observed access to credits, access to output market,

and crop incomes while (c) and (d) represent their respective counterfactual expected

access to credits, access to output markets, and crop incomes. Di = 1 if smallholder

farmer i adopted WRS and 0 otherwise. Y1i = access to credits, access to output market,

and crop income if the smallholder farmer i adopted WRS. Y2i = access to credits, access

to output market, and crop income if the smallholder farmers i did not adopt WRS. ATTi

= the effect of the treatment (i.e. WRS) on the treated (smallholder farmers that adopted).

ATUi = the effect of the treatment (i.e. WRS) on the untreated (smallholder farmers that

did not adopt). BHi = the effect of base heterogeneity for smallholder farmers that

adopted (i = 1) and did not adopt (i = 2). TH = (ATTi – ATUi) is the transitional

heterogeneity

In table 3.1, cases (a) and (b) along the diagonal represent the actual expectations

observed in the sample. Cases (c) and (d) represent the counterfactual expected outcomes.

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In addition, we can calculate the effect of the treatment (WRS) on the treated

(smallholder farmer) as the difference between cases (a) and (c) (Heckman et al., 2001).

ATTi = ( 1 − 2 | = 1) = 1 1 + 1 1 –1 2 - 2 1 = 1( 1 − 1 ) - ( 1 − 2 ) 1 …………………………… (3.11)

Equation (3.11) represents the effect of WRS on access to credits, access to output

market, and crop income, of the smallholder farmers that actually participated WRS.

Similarly, the effect of WRS of the untreated (ATU) for the smallholder farmers that

actually did not adopt WRS will be calculated as follows, the difference between (d) and

(b),

ATUi = ( 1 − 2 | = 0) = 2 ( 1 − 2) + ( 1 − 2 ) 1 …………… (3.12)

Finally, we investigate the “transitional heterogeneity” (TH), that is if the effect of

participating in WRS on farmers’ access to credits, access to output market, and crop

income is larger or smaller for the smallholder farmer that actually participated or for the

smallholder farmer that actually did not adopt in the counterfactual case that they did

adopt, that is the difference between equations (3.11) and (3.12) (i.e., (ATT) and (ATU).

3.3.6.2 Propensity Score Matching (PSM)

To complement the endogenous switching regression model (ESRM) and to ensure

consistency and robustness of the estimated treatment effect results, propensity score

matching (PSM) technique is applied. PSM estimators as indicated by Rosenbaum and

Rubin, (1983) are used to estimate average effects of an intervention or treatment made to

a specific subject in evaluation research. Rubin, (2001) defines PSM as pairing of

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treatment and control units with similar values on the propensity score, and possibly other

covariates, and the discarding of all unmatched units. It is normally used to compare two

groups of subjects but can also be used on more than two groups.

Different matching methods are employed in the propensity score matching. In the

matching process, participants are matched to non-participants of similar propensity

scores. Two groups of farmers are observed: participants of the WRS (Ti = 1 for farmer i)

and non-participant of the WRS (Ti = 0). Farmers who participated in WRS (the

treatment group) are matched to farmers who do not participate (the control group) on the

basis of their propensity score (Ravallion, 2001), which is the predicted probability of

participating conditional on a vector of observed covariates. The purpose of matching is

to make the groups more similar in all characteristics apart from the treatment, in order to

calculate the differences in the outcome between them. Matching also ensures that any

differences between the treated and untreated groups are not a result of differences in the

matching variables and it is useful in studies with small sample sizes (Rubin, 2001). Most

commonly used matching methods include nearest neighbour matching, caliper and

radius matching, stratified matching, and kernel matching.

Nearest Neighbour Matching: This method minimizes the absolute difference between

the estimated propensity scores for the treatment and untreated groups. It is identified as

the straightest forward. This is because, the individual from the comparison group is

chosen as a matching partner for a treated individual that is closest in terms of propensity

score. Variants of the Nearest Neighbour matching proposed include Nearest Neighbour

matching ‘with replacement’ and ‘without replacement’. Matching with replacement is

more effective when the control data set is small.

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Caliper and Radius Matching: In this method, a pre-determined range of values is

defined. One-quarter of the standard error (0.25) of the estimated propensity is usually

used. Any values that fall outside that range are removed (Sianesi, 2001).

The range is:

/ − /< .................................................................................................. (3.13)

where: Pi is the estimated propensity score for the treated subjects

Pj is the estimated propensity score for the control subjects

e is the pre-determined range of values

Stratified Matching: This method classifies the propensity scores into intervals based on

the range of values obtained. Each interval consists of treatment and control subjects that

on average have equal propensity scores. The differences between the outcomes of the

treatment and the control group are calculated to obtain the average treatment effect.

Stratified matching is normally used in situations where there are no observed effects in

matching and since stratification groups subjects with similar propensity scores together,

it is assumed that the unobserved effects disappear.

Kernel Matching: In this method, every treated subject is matched with the weighted

average of the untreated subjects. The weights are inversely proportional to the distance

between the treated and untreated group’s propensity scores. Kernel and radius matching

are more useful when using large, asymmetrically distributed control data sets (Baser,

2006).

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None of the matching methods has been established as the most appropriate although

each method works more effectively when given certain circumstances. In order to check

the robustness and consistency of results, the impact estimate is calculated with all the

four matching techniques and the results compared.

The propensity scores are estimated by a logistic regression model. It is a model used to

predict the probability that an event occurs. Usually any discrete choice model can be

used, such as the logit or the probit models (Kuwornu and Owusu, 2012). Both usually

give similar results but the logit distribution is simple.

3.4 Method of Data Analysis

3.4.1. Assessing the Adequacy of Institutional Arrangement for WRS in Ghana

The various institutions required for the development of warehouse receipt system are

identified through literature review of success stories from journal articles. Following

Coulter and Onumah (2002), Bryde (2008), Torero (2011), Kelly et al. (2014), and

Coulter (2014), 25 elements of “institutions of WRS” were used as parameters to solicit

responses from key organisations, FBO heads, warehouse operators, and farmers. These

are:

1. Legislation of WRS,

2. Standardisation of maize,

3. Grading of maize at warehouses,

4. Establishment of commodity exchange market,

5. Licensing of warehouses,

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6. Inspection of electronic and community warehouses,

7. Provision of insurance at warehouses,

8. Linkages of financial institutions to the WRS,

9. Willingness of financial institutions to lend against warehouse receipts,

10. Training of staffs of financial institutions on lending procedures in WRS,

11. Establishment of indemnity fund in the WRS,

12. Provision of market information to farmers,

13. Networking of electronic warehouses,

14. Provision of extension services to farmers,

15. Building of warehouses to support the community WRS as social intervention,

16. Training of farmers on quality standards and how to treat their maize,

17. Low interest rate policy on lending in the WRS,

18. Upgrading community warehouse receipt to be accepted by formal financial

institution

19. Training and capacity building of warehouse operators and weighers on grading

services

20. Development of farmer based organisations

21. Promotion of WRS to smallholder farmers

22. Enhancement of maize productivity by farmers in the WRS

23. Building of market settlements and warehouses in the district capitals

24. Propagation of grain standards to stakeholders in the grain value chain

25. Development and implementation of policies in the agriculture sector

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Key informant interviews were used to ascertain whether the institutional arrangements

listed are in place and operating in Ghana or not. An institution is assigned 1 if it is in

place and 0 otherwise. Chi-square goodness of fit test is used to analyse the result.

Stakeholder approach, as explained by Matsaert (2002), is used to identify key

organisations whose primary functions enhance the development of WRS in Ghana from

literature, and government documents. The contributions of these organisations to the

development of WRS are reviewed through key informant interviews. Stakeholder

influence matrix is then used to compare the observed functions of these organisations to

the expected functions, as reviewed from literature and government documents. The

differences between the expected and observed functions help to ascertain the functional

gap or deficiencies of the organisations with a chi-square test of the following hypothesis:

Ho: The institutional arrangement of WRS in Ghana is not adequate

Ha: The institutional arrangement of WRS in Ghana is adequate

3.4.2. Scope of Promotional Activities and the Extent of Farmers’ Awareness about

WRS

This section discusses the methods of analysis of the scope of promotional activities of

WRS, and the extent of farmers’ knowledge or awareness of the activities of WRS.

3.4.2.1 Analysis of the Scope of Activities Promoting the WRS

The promotional activities used by the GGC to create awareness of WRS are compared to

the information channels stated from literature. Some of the studies utilised in this

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research include the work of Rogers (1995) on diffusion of innovations; Sahin (2006) on

detailed review of Roger’s diffusion of innovations theory; and Simon et al. (2013) on

awareness of sustainable agricultural and management practices among crop farmers in

Taraba State, Nigeria. Information assessed in the study includes content of messages,

channels of communication to farmers and support systems to participate in WRS. The

channel of promotional activities that effectively created awareness are then analysed

using descriptive statistics such as mean, percentages distribution tables and charts.

3.4.2.2 Analysis of the extent of farmers’ awareness about WRS

Operationally, the extent of farmers’ awareness about WRS is the determination of the

depth of knowledge a farmer has about the activities or benefits of WRS. The extent of

farmers’ awareness about WRS was evaluated to find out whether farmers clearly

understood the activities or benefits of the WRS during the promotional stage. Farmers

were asked to indicate whether they had knowledge or not about 18 elements of activities

or benefits of WRS presented to them. An activity was assigned 1 to indicate that a

farmer had knowledge about it, and 0 otherwise. Descriptive statistics (mean, percentages

and charts) and Chi-Square were used to analyse the extent of farmers’ awareness of

WRS.

Chi-square (x2) test measures whether there is a relationship between two nominal or

categorical variables. As explained by Steiger (2007), chi-square is often used to

determine the “goodness of fit” between theoretical (expected values) and experimental

(observed values) data. The observed values are obtained from direct outcome of research

or observation whiles expected values are developed from a set up theory or hypothesis.

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The use of chi-square follows a hypothesis testing with the following processes:

statement of null hypothesis; calculation of test statistic, and comparing the observed

value of the test statistic to a critical value; and finally arriving at a decision whether to

reject the null hypothesis or retain it. The null hypothesis is rejected when the degree of

statistical confidence of the experiment exceeds a pre-determined level (0.05). This

specifies that the null hypothesis is false.

The chi-square (x2) is calculated as:2 = ∑ ( − )2 ………………………………………….………………….. (3.14) =1Where;

Oi = Observed frequency for class of data i

Ei = Expected frequency for class of data i

k = Number of categories or classes remaining after combining categories

The chi-square is always positive and may range from zero to infinity. It however

requires an adequate sample size in order for the chi-square approximation to be valid. In

addition, certain assumptions need to be met to make chi-square goodness of fit test

relevant;

1. The variables must be nominal or ordinal and the data presented as counts or

frequencies

2. Each count is independent or mutually exclusive.

In the Chi-Square analysis, the following hypotheses was tested:

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Ho: The extent of farmers’ awareness about the benefits of warehouse receipt system is

low.

Ha: The extent of farmers’ awareness about the benefits of warehouse receipt system is

high.

3.4.3. Evaluating Perceptions of Farmers about Benefits and Constraints of WRS.

3.4.3.1 Analysis of Benefits

Benefits of WRS are operationally defined in this study as the activities or conditions of

WRS that promote the farming activity of farmers and ensure their well-being. Following

Coulter and Onumah (2002), Giovannucci et al. (2000), and Bass and Hunderson (2000),

the following 18 elements of “benefits of WRS” are used to solicit farmers’ responses:

1. Ability to sell high proportion of produce

2. Ability to sell to organizations

3. Ability to obtain high price for produce

4. Ready market for produce

5. Maize is sold at the warehouse

6. Enable farmers obtain market information

7. Guarantees delivery of produce to buyers

8. Ability to obtain loans from financial institutions

9. Ability to obtain large amount of loan

10. Interest paid on loans are moderate

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11. Reduces transport cost to market

12. Curtails cheating on weight and quality

13. Reduces post-harvest losses

14. Provides storage facility

15. Reduces seasonal price variability

16. Increases market power of farmers

17. Links farmers to extension services

18. Links farmers to farm input dealers

A five point Likert Scale ranging from Strongly Agree, Agree, Not Sure, Disagree and

Strongly Disagree (1 = Strongly agree; 2 = Agree; 3 = Not sure; 4 = Disagree; 5 =

Strongly disagree) is used to solicit responses from farmers on the elements of benefits of

WRS. The mean scores of the responses are analysed and categorised, as explained by

Agahi et al. (2011), as follows: 1.00 – 1.49 = strongly agree, 1.50 – 2.49 = agree, 2.50 –

3.49, moderate agree, 3.50 – 4.49 = disagree, and 4.50 – 5.00 = strongly disagree. In

addition, %age responses of the Likert scale are grouped into three categories by

combining agree and strongly agree, and both represented as “agree”, whilst disagree and

strongly disagree are represented as “disagree” in the tables. This method of analysis has

been used by Ndambiri et al. (2013) for the evaluation of farmers’ perceptions and

adaptation to the effects of climate change in Kenya.

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3.4.3.2 Analysis of Constraints of WRS

Constraint of WRS is defined in this study as any risk or limitation of WRS that reduces

the chances of farmers to get the required benefits of the system such as access to credit,

access to market, and higher crop income. Constraints can be analysed by methods such

as the Friedman’s two-way analysis of variance without replication by ranks, Spearman

rank correlation coefficient or the Kendall’s coefficient of concordance. Friedman’s two-

way analysis of variance and Kendall’s coefficient of concordance methods address

hypothesis concerning the same data table, and they use the same x2 statistic for testing.

They however differ in their null hypothesis statements. The null hypothesis in

Friedman’s test states that there is no real difference among the n objects (sites) because

they belong to the same statistical population. The Kendall’s null hypothesis states that

the p judges (species) produced independent rankings of the objects. Kendall’s coefficient

of concordance is chosen for the analysis of constraints of WRS in this study because it

reflects the study objective of assessing the consistency by respondents; it is also easier to

compute.

Kendall’s Coefficient of Concordance

Kendall’s Coefficient of Concordance (W) is a measure of the agreement among several

(p) judges who are assessing a given set of n objects (Legendre, 2005). In the social

sciences, the respondents (people) are called Judges assessing different situations. This is

obtained by dividing the variance of the row sums of ranks by the maximum possible value the

variance can take.

The W - value ranges from 0 to 1, which implies no agreement among the farmers and

complete agreement among the farmers respectively. There is unanimous agreement

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among respondents if W is 1, and each respondent assigned the same order to the list

provided. If W is 0, then the agreement among the respondents are random, and does not

follow the same trend. Intermediate values of W indicate a greater or lesser degree of

unanimous agreement among the various responses.

The Kendall’s coefficient of concordance is computed as follows:

W = 12 [∑ 2 −(∑ 2)

]

2( 2 − 1) ............................................................................... (3.15)

Here the denominator correction for ties uses T defined as:

= ∑ ( 2 − 1)/12 ............................................................................. (3.16)

where t is the number of occurrences of each tied rank within a comparison.

n = Number of constraints being ranked

m = Number of respondents

The Coefficient of concordance (W) will be tested for significance in terms of the F-

distribution. The F-ratio is given by:

= ( − 1)∗( )/(1 − ) .................................................................... (3.17)

The degree of freedom of the numerator is given as:( − 1) − (2/ ), and

The degree of freedom of the denominator is given as:− 1[( − 1) − 2/ ]

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Following Coulter and Onumah (2002), Mahanta (2012), Onumah (2010) and Coulter

(2014), 12 elements of “constraints of WRS” presented to farmers for their assessment

are:

1. High cost of transporting produce to warehouse

2. Payment for storage is high

3. Quality limit is too high to meet

4. Quantity limit is too high to meet

5. No insurance package for stored maize

6. Inadequate training on how to treat maize stored

7. Long distance to warehouse

8. Non-transferable warehouse receipt

9. Few financial institutions to borrow from

10. Warehouses are not in good condition

11. Few warehouses to choose from

12. WRS is used by only rich farmers

A five point Likert Scale ranging from Strongly Agree, Agree, Not Sure, Disagree and

Strongly Disagree (1 = Strongly agree) is used to solicit responses from farmers on the

twelve elements of benefits of WRS. Descriptive statistics (Mean and percentages) is

used to analyse farmers’ perception of the constraint statements on the Likert scale.

Constraints that affect the successful operation of WRS are ranked by the smallholder

farmers from 1 to 12 (1 is the most important problem). Kendall’s Coefficient of

Concordance (W) is then used to test the following hypothesis:

Ho: There is no significant agreement among the respondents in the rankings of the

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constraints.

Ha: There is agreement among the rankings of the constraints.

3.4.4 Estimating the Impact of WRS on Access to Credit, Access to Output Market, and Income

This research uses propensity score matching (PSM) and endogenous switching

regression model (ESRM) to estimate the causal effect of participation of WRS on access

to credit, output market, and farm income by smallholder farmers in order to ensure

robustness of results. Al-Hassan et al. (2013) have used propensity score matching to

assess the impact of the information communication technology (ICT)-based market

information service (MIS) on farm households in the eastern corridor of Northern Ghana.

Awotide et al. (2015) on the other hand utilised ESRM to assess the impact of access to

credit on agricultural productivity by cassava farmers in Nigeria.

Asfaw (2010) however utilised both PSM and ESRM to estimate welfare effect of

modern agricultural technologies: a micro-perspective from Tanzania and Ethiopia.

Khonje et al. (2014) employed both PSM and ESRM to analyse adoption and impact of

improved maize varieties in Eastern Zambia.

Outcome variables

The outcome variables used in this study are; access to credit, access to output market,

and total crop income obtained by farmers. The access to credit is measured by the

amount of loan obtained from formal financial institutions by farmers. Access to output

market is measured by the proportion of harvested maize sold, and price of a bag of

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maize sold. Income of farmers is measured by the quantity of maize harvested (output),

price of a bag of maize sold, and the total cost incurred on the farm.

3.4.4.1 Model specification

In order to estimate the causal impact of WRS on access to credit, output market, and

farm income of farmers using weights of 1 for farmers who participate in WRS and 0 for

farmers who do not participate:

= ++ ′ +............................................................................

(3.18)01

where Yi is the ith farmer’s access to credit, access to output market or income from crop

sales, Ti is a binary indicator for whether or not the ith farmer participates in the WRS,

and Xi is a vector of farmer’s characteristics. ui, the error term, is uncorrelated with Ti and

is of mean zero.

This was estimated by the regression model:

= 0 + 1 1 + 2 2 + 3 3 + ............................................................... (3.19)

The explanatory variables included in the model that assesses the effect of WRS on

farmers’ access to credit, output market and crop income include the demographic

characteristics of the farmer (for example, age, education, gender, household size), farm

size, cost of inputs, skill training in farming, and access to extension services. Other

variables are; farmers’ experience in farming, membership of farmer based organisation,

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distance to market, and ownership of storage facility, access to market information,

taxation, and giving out of labour to work on other farms (labour offer).

= β1 + β2 + β3 + β4 + β5 + β6 + β7 + β8FBO +β9 + β10 + β11 + β12 + β13 + β14 + β15 + β16 + β17 + β18 + β19 +β20+ β21Output + i ᶓ ................................................................. (3.20)

The dependent variable, Access to credit, access to output market, and crop income, is an

indicator for whether smallholder farmers have access to credit, output market or

obtained higher crop income at the time of the survey.

The independent variable of interest, participation of WRS (Treatment), is a dummy

variable taking a value of 1 if farmer participates, and 0 otherwise.

The factors of access to credit, access to output market, and crop income that determine

participation of WRS are jointly estimated by the PSM model. However, the model

specification for ESRM on the three outcome variables are estimated separately from

selected explanatory variables.

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Table 3.2: Explanatory Variables of Participation of WRS and their Expected SignsExplanatory Variable Description Aprior Sign

Age Age of farmer measured in years +Farm Size Size of farm land in hectors +Education (Edu) Formal educational level attained by +

respondent, measured in yearsGender Farmer is assigned 1 if males and 0 +/-

otherwiseHousehold Size (HseSiz) Farmer’s household size measured in +/-

absolute figuresFarmer Based Organisation Farmer is assigned 1 if they are members +(FBO) of FBO and 0 otherwiseDistance to market Distance to market measured in km +Cost of Input Cost of input measured in cedis -Loan Access Farmer is assigned 1 if they have access to +Extension Services Farmer is assigned 1 if they have access to +

extension services and 0 otherwiseLabour Cost Cost of labour measured in man days -

(Cedis)Maize Output Quantity of maize harvested measured in +

kgStorage facility Farmer is assigned 1 if they have storage -

facility and 0 otherwiseSkill Training Farmer is assigned 1 if they have acquired +

additional skill training and 0 otherwiseMarket Information Farmer is assigned 1 if they have access to +

market information and 0 otherwiseExperience Farmer’s experience in farming, measured +

in yearsEstablished buyer Farmer is assigned 1 if they have +

established buying relationship withsomeone and 0 otherwise

Labour offer Farmer is assigned 1 if they offer their -labour to work at other farms and 0otherwise

Tax Amount of money paid as tax on maize -sold measured in cedis

Maize price Price in which a bag of maize is sold +measured in cedis

Statement of hypothesis:

Ho: Warehouse receipt system has no significant effect on farmers’ access to credit,

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output market or farm income.

H1: Warehouse receipt system has a significant effect on farmers’ access to credit,

output market or farm income.

3.5 Source of Data

Cross-sectional survey and ethnographic method of in-depth interviews are used to

generate quantitative and qualitative data. Structured questionnaires were administered to

smallholder individual maize farmers. Key informants (key stakeholders including

MOFA, Ministry of Trade and Industry, Financial institutions, Ghana Grains Council,

warehouse operators, heads of Farmer based organisations), and selected smallholder

farmers were interviewed. This study adopted the definition of Singh, (2002) which states

that “smallholder farmers are those marginal and sub-marginal farmers that cultivate less

than 2.0 hectares of land in a particular growing season”.

3.5.1 Study Area

Northern region was purposively selected for the study (Figure 3.2). This was because

there were five certified warehouses in Tamale with a total capacity of 21,500MT that

issued receipt. There were also nine community warehouses approved by the GGC that

operated in the Northern region. Six communities in three districts were selected based on

the presence of community warehouses approved by the GGC. The communities are

Diare, and Tamaligu in Savelugu District; Kpatinga, Kpugi, and Gaa in Gushegu District;

and Shelilanyili in Karaga district.

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Figure 3.2: Map of Ghana showing location of the study areaSource: Centre for Remote Sensing and Geographic Information Services, University of

Ghana

Northern region covers a total land area of 70,380 square kilometers, representing 29.5%

of the total land area of Ghana (MOFA, 2011). There are 318,119 households in the

region of which 240,238 are into agriculture. Two hundred and thirty thousand, four

hundred and fifty two (230,452) households are into crop farming (GSS, 2013).

3.5.2 Sampling Procedure

A sample size of 400 respondents were randomly selected from the six communities

mentioned above, using the Slovin’s formula as explained by Ellen (2012). The bases for

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the calculation of this sample size was informed by the population of maize farmers at

each community, obtained from the agricultural department of each district assembly.

Simple random sampling technique was used to select 135 individual farmers from

Kpatinga, Kpugi, and Gaa in Gushegu District; 170 individual farmers from Diare and

Tamaligu in Savelugu District; and 95 individual farmers from Shelilanyili in Karaga

district.

3.6 Scope and Limitations of the Study

The scope of the study is to assess the institutional arrangements of WRS in Ghana, to

identify the promotional activities and the extent of farmers’ awareness about WRS, to

evaluate the perception of farmers about the benefits and constraints of WRS, and to

determine the effect of WRS on access to credit, output market and farm income. The

study area is the Northern region of Ghana.

Most of the information gathered for this work pertains to Northern region. Although the

information collected from the GGC, financial institutions and other public organisations

applies to the entire WRS in Ghana, it may be deceitful to link the findings of this study

to the entire country. The study is therefore limited to and only gives an insight into the

prevailing situation in the Northern region. Nevertheless the results give a fair idea of the

situation of WRS in Ghana, since Northern region is the hub of warehouse receipt system

in the country where the office overseeing the WRS in the three Northern regions

(Northern region, Upper East and Upper West) is located.

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The study may also be limited by time and financial constraints. With time as a limiting

factor, it was difficult to stay on the field for long time to collect more data. This was

because more time was spent on a questionnaire as the farmers could not answer the

questions themselves, unless through the assistance of enumerators. It was also the wish

of the study to cover all the three Northern regions. This is because the Ghana Warehouse

Receipt Promotion (GWARP) project funded by AGRA occurred in these regions.

Expanding the research to Upper East and Upper West would have therefore given a

clearer picture of the contribution of WRS to smallholders’ access to credit, access to

output market, and income. Although this could not jeopardize the quality of the research,

the details and level of scientific study thereof are limited by time and financial

constraint.

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CHAPTER 4

RESULTS AND DISCUSSION

4.1 Introduction

This chapter presents and discusses results obtained from analysis of data collected from

respondents as pertaining to the objectives of the study and how they reflect what already

exists in literature. It includes the socio-economic background of respondents and,

summary of responses in frequency and percentages which are presented in tables and

charts. A discussion of the econometric results from endogenous switching regression

model and propensity score matching is also presented in this chapter.

4.2 Socio-economic Characteristics of Respondents

The majority of respondents are Muslims (99.5%) and mainly Dagombas (98.5%) (Table

4.1). The other ethnic groups are Mamprusi, Fulani, Frafra and Moshi, making up to

1.5% of the sample. The mean age of respondents is 39 years old with the majority aged

between 26 years and 50 years (82.2%). The majority are married (91.8%) and the mean

household size is 9 (Table 4.2). Only 29.8% had attained formal education, dominated by

junior high school (10.3%). This is followed by primary school (9.8%), and senior high

school (6.3%). Maize farming in the research area is a male dominated activity whilst

females are often engaged in legume production.

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Table 4.1: Socioeconomic Characteristics of RespondentsCharacteristics Frequency %ageAge distribution21 – 25 21 5.25%26 – 30 68 17%31 – 35 88 22%36 – 40 76 19%41 – 45 48 12%46 – 50 49 12.25%51 – 55 23 5.75%56 – 60 17 4.25%> 60 10 2.5%

Age statisticsMinimum 23Mean 39Maximum 65Standard deviation 9.66

Ethnic group:- Dagomba 393 98.5%- Others (Mamprusi, Fulani, Frafra and Moshi) 7 1.5%

-Religion:-Islamic 398 99.5%-Others (Christianity and Traditional) 2 0.5%

Education:-Formal education 119 29.75%-No formal education 281 70.25%

Marital status:-Married: 367 91.75%-Single: 33 8.25%

Gender:-Male 365 91.25%-Female 35 8.75%

Household size distribution1 – 5 126 31.56 – 10 153 38.211 – 15 72 18%16 – 20 26 6.5%> 20 23 5.8Household size statistics

1MinimumMean 9.2Maximum 35Standard Deviation 6.4

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4.3 Analysis of Institutional Arrangement for Successful Operation of WRS.

Institutional arrangement is a vital tool for the development of every project (Kelly et al.

2014) of which WRS is no exception. This section discusses how the electronic and

community WRS are operated in Ghana; it assesses the adequacy of institutional

arrangement of WRS in Ghana, and provides a review of the functions of supporting

private and public organisations of WRS in Ghana.

4.3.1 The Operation of Electronic Warehouse Receipt System in Ghana

Before farmers take their maize to the warehouse, an entry form is picked at the gate or

security post. This form specifies the registration number of the car bringing the load,

quantity of maize on board, and name and contact of the depositor. The maize then goes

to the Sampler for moisture content test. The moisture level of maize accepted for

storage is 12 to 13%. The sampler then cleans the maize by removing all chaff and stones

with a machine. The cleaned maize is then weighed and re-bagged in 50kg bags. By

practice, the maize is weighed at 51kg in order to make up for weight loss during storage,

when the maize is fully dried. The sampler then takes a sample of the maize in the

presence of the depositor and a Collateral Manager.

The duty of a collateral manager is to monitor activities of warehouses. The manager

ensures that grain in the warehouse is of high quality. This boosts the confidence of

financial institutions in the system for loan considerations. After the samples are taken,

the sampler and the collateral manager take it to the Ghana Standards Authority (GSA)

for grading. A form is then generated at the GSA, stating the type of grade for the

sampler, collateral manager and the depositor to sign before the grain are stored in the

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warehouse. Details from the GSA report are also keyed into an electronic system of the

warehouse for the collateral manager to append his online signature before electronic

warehouse receipt is generated to the depositor. The warehouse receipt bears the name of

the depositor, location of the warehouse, number of bags and specific grade of maize

stored, and duration of storage.

4.3.2 How Electronic Warehouse Receipt (WR) is used to Access Loan in Ghana

When depositors want to take loan, they issue or pledge the warehouse receipt (WR) to a

stakeholder financial institution, as collateral against the commodity in stock. The

financial institution upon receipt of the WR, logs into the GGC’s system to declare that a

named depositor has approached them for loan. The collateral manager then gives his

approval before the financial institution issues a loan up to 60% of the value of maize in

stock. Once the commodity is collateralised, the collateral manager monitors the grain on

daily basis to make sure it is not sold without his consent.

When a depositor who has pledged his receipt for loan is ready to sell, the warehouse

operator and the collateral manager are informed. The collateral manager alerts the

financial institution and ensures that the buyer pays the money directly to the financial

institution, which then takes the loan amount with interest from the payment, and

transfers the storage charges to the warehouse operator. The balance is given to the

borrower. Another receipt normally referred to as a transferable WR is then generated at

the warehouse for the buyer. This receipt bears the name of the buyer, who may decide to

withdraw the maize or continue to store the produce in the warehouse. The warehouse

receipt can also be pledged for other credit such as farm inputs. The input dealer upon

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receiving a WR, issues inputs equivalent to 60% of the commodity stored. The buyer

pays the money to the input dealer when the maize is sold. Maize can be stored in

certified warehouses up to ten months duration. However, five months is recommended

in order to reduce storage cost and price falls, when other food stuffs such as tubers are

introduced into the market.

Unlike the community warehouses, all certified warehouses are insured against theft,

flood, fire and other risks. A minimum of 50 bags of maize (5 tonnes) is accepted for

storage. Nevertheless, ten bags (50kg) of maize are currently accepted by some

warehouses in the Northern region, since they are still at the promotional stage.

Smallholder farmers are however advised to combine their produce in order to make up

to the number that could enable them to participate in the system. Some of the

organisations that buy from the warehouses are Premium foods, World Food Programme,

and Agri-serve.

4.3.3 Operation of Community Warehouse Receipt System

The Ghana Grains Council (GGC) WRS was designed for smallholder farmers to

participate. However, farmers incurring transportation cost to send their produce to the

electronic warehouses in the urban or peri-urban areas, and waiting for some time to sell

against their family needs were some of the challenges faced. Smallholder farmers

therefore participate through the community WRS. In the community WRS, farmers

deposit their maize in a warehouse of about 80MT capacity, located in the same

community or a nearby community. The majority of farmers (about 80%) who participate

in the community WRS are members of farmer based organisations (FBO) (Appendix 1).

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In order for smallholder farmers to have a continuous access to credit and output market,

GGC has linked electronic warehouses to the community warehouses to mop-up their

produce. For instance, Diare community warehouse in Savelugu District, and Tamaligu

community warehouse in Karaga district were linked to Gundaa electronic warehouse in

Tamale. Kpatinga, Kpugi, and Gaa community warehouses in Gushegu district as well as

Shelilanyili community warehouse in Karaga district are linked to Savanna electronic

warehouse. Under this arrangement, the community WRS is operated in the form of

nucleus farmer and out grower scheme mechanism.

At the beginning of a farming season, the electronic warehouse operators (here as the

nucleus farmers) under whom specific community warehouses are registered borrow

money from the bank on behalf of the smallholder farmers. These credits are given to the

smallholder farmers in the form of farm inputs. The nucleus farmer ploughs the farm land

of the smallholder farmers (out growers) for a 110kg bag of maize for an acre of land

ploughed. In addition, the smallholder farmers are supplied with improved seeds,

fertilizers, insecticides and transportation of produce to the community warehouses.

Farmers are also offered advice on agronomic practices that would help them enhance

their productivity.

When smallholder farmers are ready to sell, the nucleus farmer buys the produce from the

warehouses at the prevailing market price. The cost of inputs supplied to the smallholder

farmers at the beginning of the farming season is taken from the total amount of produce

sold before the balance is given to the farmers. The nucleus farmers in turn service the

loan borrowed from the bank.

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The community WRS differs from ordinary nucleus farming system or contract farming

for the following reasons:

1. The farmers store their maize at a common warehouse. This makes it impossible

for the participating farmers to sell their produce secretly without the knowledge of the nucleus

farmer (the electronic warehouse operator). Thus, the community warehouse operator ensures

that all credit given to the smallholder farmers are duly paid.

2. Farmers obtain the exact market price for their produce. This is made possible

because the GGC gets the prevailing market price information from ESOKO and disseminate

them to the participating farmers as text messages on their mobile phones.

3. Participating farmers can wait and sell their produce later when the market price

appreciates, in order to increase their income.

4.3.4 Analysis of Adequacy of Institutional Support to WRS

Stakeholder influence matrix was used to assess whether the 25 institutional indicators

listed in section 3.4.1 operated in the WRS in Ghana or not (Table 4.2). An institution

was assigned 1 if it operated in Ghana and 0 otherwise.

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Table 4.2: Institutional Arrangement in the Warehouse Receipt System in GhanaInstitutional Indicator Performance

Legislation of WRS 0

Standardisation of maize 1

Grading of maize at electronic warehouses 1

Promotion of WRS to farmers and other stakeholders 1

Establishment of commodity exchange market 0

Licensing of electronic and community warehouses 1

Inspection of electronic and community warehouses 1

Provision of insurance at electronic warehouses 1

Building of market settlements and warehouses in district capitals 1

Linkages of financial institutions to the WRS 1

Willingness of financial institutions to lend against WR 1

Training of staffs of banks on lending procedures in WRS 0

Establishment of indemnity fund in WRS 0

Provision of market information to farmers in WRS 1

Networking of electronic warehouses 0

Provision of extension services to farmers in WRS 1

Building of warehouses to support the community WRS 0

Training of farmers on quality standards & maize treatment 1

Low interest rate policy on lending in the WRS 0

Upgrading of community WR with security features 1

Capacity building of warehouse operators on grading 1

Development of farmer based organisations 1

Enhancement of maize productivity by farmers in the WRS 1

Propagation of grain standards to stakeholders in the grain value 1

Development of policies in the agricultural sector 1

NB: 1 means that the functions are performed (Yes), whilst 0 means No, the functions are not performed (Gap).

These responses were analysed using chi-square goodness of fit test to check whether the

number of WRS institutions that are in existence and operated in Ghana are equal to the

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number of institutions that do not operate. The results show that the number of

institutions that operate (f = 18) are greater than the institutions that do not operate in

Ghana (f = 7) (Table 4.3).

Table 4.3: Frequencies: Expected and Observed Functions of WRSOperation of institution Observed N Expected N Residual

No 7 12.5 -5.5

Yes 18 12.5 5.5

Total 25

The test statistics show that the result is significant [X2 (1) = 4.8402, P ≤ 0.05]

The chi-square statistic (Table 4.4) is significant at 5 % and the null hypothesis is

therefore rejected in favour of the alternative. This indicates that the number of

institutions that operate in Ghana WRS are more than the institutions that are not in place

and operate in Ghana. This result is contrary to the result by KENFAP, (2011), which

found that the WRS in Africa lacks institutional support to ensure its successful

operation. The study however disclosed that the legislation of WRS and the commodity

exchange market that are not fully in place hinders the operation of WRS in Ghana.

Table 4.4: Test Statistics of Institutional Performance to WRSPerformance

Chi-Square 4.840

df 1

Asymp. Sig. 0.028

0 cells (0.0%) have expected frequencies less than 5. The minimum expected cell frequency is 12.5

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The details on the institutional arrangement on whether they completely exist, partially

exist, or absent, are fully discussed under the review of the functions of private and

public supporting organisations responsible for the drafting or enactment of those

institutions.

4.3.5 Review of the Activities of Supporting Organisations of WRS

Functions of certain organisations primarily affect the operations of WRS whilst others

are secondary. This section discusses public, private or voluntary organisations whose

functions or institutional support directly affects the operations of WRS in Ghana. The

public organisations discussed here are; Ministry of Food and Agriculture (MoFA),

Ministry of Trade and Industry (MoTI), Ministry of Local Government and Rural

Development (District Assembly), and Ghana Standards Authority (GSA). The private

organisations involved are; Ghana Grains Council (GGC) and Financial Institutions.

Other voluntary organisations that are mentioned as results of their contributions to WRS

are; Alliance for a Green Revolution in Africa (AGRA), Agri-business System

International (ASI), Ghana Agricultural Development and Value Chain Enhancement

(ADVANCE), USAID, and Farmer Based Organisations (FBOs).

4.3.5.1 Ghana Grains Council (GGC)

The Ghana Grains Council (GGC) was established in 2010 with initial funding from

USAID. Wienco was the first electronic warehouse that was registered under the system.

The council however started receipting in 2012.

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The community warehouses were taken over by the GGC from another project known as

Agri-business System International (ASI) that was funded by AGRA. ASI was basically

focused on post-harvest losses, which featured well in the basic concept of the GGC’s

warehouse receipt system. The ASI and the Ghana Agricultural Development and Value

Chain Enhancement (ADVANCE) project were able to put up sixteen community

warehouses with the capacity of 80MT each for the farmer aggregation unit. These

structures were being run by FBOs at the various communities. GGC inherited these

warehouses from ASI after their exit. The electronic WRS could not start at the

community level because it requires logistics such as computers, scanners, photocopiers,

weighing machines, internet connectivity and so forth, which were difficult for

smallholder farmers to afford. The electronic warehouse receipt system was therefore

concentrated in the urban and peri-urban centres.

In order to upgrade grain quality and improve grains standards, the GGC partnered Ghana

Standards Authority (GSA) to do grading. Community warehouses are exempted from

the strict grading system, and are allowed to use manual receipt system known as “Goods

Received Note (GRN)” instead of electronic warehouse receipts. This receipt however,

lacks security features that could enable farmers pledge it for loans from formal financial

institutions. Table 4.5 summarises the expected functions, observed functions and

deficiencies or gaps in the function of GGC towards WRS.

In order to improve access to credit by smallholder farmers, the GGC has replaced the

GRN with an improved security featured receipt, yet to be piloted. In this new receipt

system, a triplicate manual receipt is written when a farmer deposits his or her maize at a

community warehouse. These receipts come in three colours; white, pink, and green. The

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white original receipt is given to the depositor, the pink goes to the GGC’s office, and the

green receipt is kept at the community warehouse. Depositors can only retrieve their

grains from community warehouses upon reconciling all the three receipts. When the

GGC receives the pink receipt, they key all the information on it in a central depository.

When a smallholder farmer who has deposited maize at a community warehouse wants to

pledge the new receipt for a loan, the financial institution can easily log-in to the central

depository of the GGC in order to verify the authenticity of the receipt, and the quantities

of maize stored at a specific community warehouse. The farmer however has to inform

the GGC first on his or her intentions to take loan. The GGC then opens up the receipt for

financing from their data base. Thus, the GGC further acts as a collateral manager to

protect the interest of financial institutions. This arrangement also enables GGC to

connect buyers to community warehouses. This is because it gives the council upper hand

to know the quantities of maize stored at a particular community warehouse at a point in

time. In this case, when a buyer wants to buy collateralised maize, all payments must pass

through the financial institution in question.

According to Bryde (2008), warehouse receipts can continually be used to access credit

from financial institutions when the following fundamentals are in place: licensing,

inspection and insurance of warehouse, legal framework, and indemnity fund. The GGC

has licensed five electronic warehouses and nine community warehouses in the Northern

Region. All the electronic warehouses are insured against theft, fire, flood and other

catastrophes. The community warehouses are however, not insured. The warehouses are

occasionally inspected to make sure warehouse operators abide by regulations instituted

by the council.

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Table 4.5: Review of Performance of Functions by GGCExpected functions Observed functions

Electronic Communitywarehouse warehouse

Promotion of warehouse receipt system Licensing and inspection of warehouses Ensures that warehouses are insured -

Advocates for legislation in the WRS Ensure quality, productivity and profitability in the grain value chain

Dissemination of market price information to farmers Ensures access to formal market Linking financial institutions to the WRS Upgrade of community warehouse receipt Creation of Indemnity fund for depositors - -

Organisation of training and workshops for farmers and warehouse operators

Network of warehouses - -

means that the functions are performed, whilst hyphen (-) means that the functions are not performed (Gap).

The legislation of WRS specifies the rights and obligations of all stakeholders

participating in the system, and makes collateralised nature of the warehouse receipt

enforceable. The indemnity fund that is normally created by fees collected from

depositors and supported by public fund is also important to pay loans collected from

financial institutions during a potential loss by a particular warehouse. All these

arrangements boost the confidence of financial institutions to participate in the WRS.

Although the GGC has advocated for WRS legislation since its inception, it is still not in

place since the Commodity Exchange and Warehouse Receipt System Bill is still pending

in parliament. There is also no indemnity fund in place.

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4.3.5.2 Ministry of Trade and Industry (MoTI),

Table 4.6 indicates the expected and observed functions and, deficiencies of the Ministry

of Trade and Industry (MoTI) towards the operation of WRS. MoTI collaborated with the

GGC to promote grain standards with respect to quality, weight, and measures. The

Ministry therefore had several meetings, workshops and seminars with GGC, warehouse

operators, and leaders of FBOs on quality assurance and marketing. MoTI also

collaborates with MoFA to do market surveillance on prices of different commodities for

better economic planning. This helps the Ministry to set price mechanisms for the year.

MoTI however does not directly control market prices.

Table 4.6: Review of Performance of Functions by MoTIExpected Function of MoTI Observed Function

Electronic Communitywarehouse warehouse

Core MandatesFormulates policies that ensure successful trade relations of all sectors

Provides market information to stakeholders - -

To facilitate innovation and entrepreneurship Ensures legislations in the grain sector (WRS) - -

Ensures grain standards development Establishment of commodity exchange market - -

Support ServicesImproves the use of technology and access market -

Eases access to capital by the private sectors - -

means that the functions are performed, whilst hyphen (-) means that the functions are not performed (Gap).

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MoTI chaired the National Technical Committee (NTC) tasked to establish Ghana

Commodity Exchange market which will serve as the basis of developing “sight unseen”

trade in agricultural commodities. This market when established, would boost the

confidence of financial institutions in the WRS, and enhance market access and fair trade

for smallholder farmers. This is because it would serve as an avenue where foreclosed

maize is sold without physically transporting them to market. MoTI also played a major

role in the drafting of legislation for Commodity Exchange (CX) and Warehouse Receipt

Systems (WRS). The bill is pending in parliament yet to be passed into law. Meanwhile,

acceptances of warehouse receipts for financing by financial institutions strongly depend

on the legal framework and successful operation of the system (Chitra, 2014). It is

disclosed that the CX and WRS Bill will only be passed into law upon the passage of the

Securities Industry Amendment Bill. The new Amended Securities Industry Bill will give

the Securities and Exchange Commission the authority to regulate Commodities

Exchanges in Ghana. Until these legislations come into force, the access of smallholder

farmers to finance is tremendously affected as lending institutions are not encouraged to

participate in the WRS.

4.3.5.3 Ghana Standards Authority (GSA)

Table 4.7 shows the expected functions, observed functions, and functional gaps or

deficiencies of the Ghana Standards Authority (GSA). GSA directly operates under the

umbrella of MoTI, and it is mandated by law under the standards Act 1973 (NRCD 173)

to do grading of grains. They have therefore developed maize standards in Ghana. The

grading was initially categorised into three; grade one (the best grain), grade two and

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grade three. The grades were however extended to five in order to make it possible to

include smallholder farmers who may not have adequate logistics for thorough cleaning.

The GSA in collaboration with the GGC has organised several trainings and capacity

building for warehouse operators, samplers, and participating farmers on how to

determine moisture content, clean, treat, and store their maize. Maize stored in the GGC

certified electronic warehouses are sent to the GSA to be graded. Smallholder farmers

who store their maize at community warehouses are not compelled to grade their maize at

the moment. This is because they may not have the capacity to meet the cost of grading.

Table 4.7: Review of Performance of Functions by GSAExpected Function of GSA Observed Function

Electronic Community

Core Mandateswarehouse warehouse

Development of grain standards Propagation of grain standards to stakeholders and ensure high quality of grains produced

Approval of new weighing and measuring instruments -

Educating stakeholders on matters concerning standardisation and commodity grading

Testing for heavy metals and aflatoxin content in grains - -

Product certification scheme Calibration, verification and Inspection of Weights, -Measures and Measuring Instruments

Support Service

Provision of maize grading services for warehouses

Provision of training and capacity building for warehouse operators, weighers and samplers

-

means that the functions are performed, whilst hyphen (-) means that the functions are not performed (Gap).

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The current grading of maize is based on Ghana Standards Authority GSS 211: 2013:

Specification for Maize. Before maize is graded by GSA, a sample is taken randomly

from many bags brought by a depositor. These samples are mixed to obtain 1.0 kg for

laboratory analysis. About 200g or 500g of maize sample is taken, and are sorted out into

various blemishes such as diseased grains, discoloured grains, broken grains, stained

grains, germinated grains, shrivelled or immature grains, and insect damaged grains,

other grains, filth, organic and inorganic substances. Each blemish after sorting is

weighed and calculated as a %age of the total sample. The various percentages obtained

are combined and compared to standards as follow: if the blemishes are less than 11%,

the grains are labelled as grade 1, less than 17% is labelled grade 2, less than 24% is

recorded grade 3, less than 30% is grade 4, and less than 38% is assigned grade 5.

However, the specific %age limit for insect damaged and discoloured grains is 2.0. If this

limit is exceeded, the maize will never be classified as grade one even if it qualifies as

such. The inorganic and organic substances are excluded from the grading considerations.

The only limitation in the grading system is that, the office of the GSA in the Northern

region has no machines to test for aflatoxin and heavy metal content in the grains. Such

test has to be transported to the head office in Accra. The cost of grading also makes

storage charges expensive to depositors.

4.3.5.4 Ministry of Food and Agriculture (MOFA)

The Ministry of Food and Agriculture (MoFA) has a close collaboration with the GGC,

and this was testified by both the acting project coordinator of the GGC, who is a resident

at the Northern regional office, and the warehouse operator of Gundaa warehouse.

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According to the head of field operations at MoFA in the Northern regional head office,

the activities of GGC ensures high quality grains at the community warehouses as well as

ensuring good market prices for the produce. The farmers however were initially

reluctant to take their produce to the warehouses because of fear of reduction in quantity

after adequate cleaning and drying. MOFA therefore used their agricultural extension

agents to sensitise farmers by explaining to them the advantages of participating in the

system.

MoFA organised several trainings and workshops for smallholder farmers through their

FBOs to educate them on the activities of GGC and how it would benefit smallholder

farmers. MoFA also supplied training manuals and other logistics that were used for the

training. Farmers were also advised on how to enhance their agricultural activities.

Students were also selected from the University for Development Studies (UDS),

Nyankpala campus for trainer of trainees (TOT) programme. These students supported to

train farmers and sensitised them on how WRS operates. As depicted in table 4.8, MoFA

has done so much to help develop the WRS but there are deficiencies.

MoFA directly, does not develop FBOs. However, MoFA gives FBOs modalities and

targets to meet before they can be considered in any government interventions. Some of

these modalities are; opening of bank accounts by the group, regular organisation of

meetings, and the executive members of the FBOs attending all workshops and seminars

organised by MoFA. Some of the interventions provided by MoFA include linking input

dealers and buyers such as the World Food Programme, and school feeding programme

to the approved community warehouses.

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Table 4.8: Review of Performance of Functions by MoFAExpected Functions Observed Function

Electronic Communitywarehouse warehouse

Core MandatesCo-ordination of various development projectsin the agricultural sector:

Activities:- Promotion of warehouse receipt system (WRS)

- Provision of extension services to farmers

- Provision of training manuals for WRS

- Organisation of training for stakeholders in the WRS

Formulation and implementation of policies for the agricultural sector

Monitoring and evaluation of the projects and programmes instituted to assess their progress

Disseminate market price information to stakeholders

Support ServicesAdvocate for low interest rate policy on loans for farmers in WRS

-

- -

Advocate for involvement of lending institutions in - -WRS

Assisting farmer based organisations to function

efficiently

means that the functions are performed, whilst hyphen (-) means that the functions are not performed (Gap).

MoFA also collects weekly market price information on food stuffs and link them to

buyers and farmers, through their FBOs and radios. However, this market information

hardly got to farmers. Out of the 199 farmers who got access to market price information,

3.3% and 4.7% of farmers indicated FBOs and radios respectively, as their source of

market price information (figure 4.1)

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MoFA has not been able to also support the WRS in terms of getting more lending

institutions to participate in the system, especially at the community level. Interest

charged on loans by the few financial institutions is also high, and that deters farmers

from going to them for loans.

12.30%26.40%

Other farmers

FBOs

3.30%

T.V

Radio52.90%

Figure 4.1: Sources of Market Price Information to Smallholder Farmers

4.3.5.5 Financial Institutions

Smallholder farmers’ access to credit, especially loans from formal financial institutions

is the primary goal for establishing WRS (Mahanta, 2012). Although a number of

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financial institutions, including insurance companies, are stakeholders in the system,

there are only four banks involved. These banks are the Agricultural Development Bank

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(adb), Stanbic Bank, CCH Finance Ltd., and Ecobank. In an interview with the banks in

Tamale (apart from CCH Finance Ltd.), it was disclosed that some of their staffs had less

knowledge about the activities of the WRS (Table 4.9), and were not sure whether they

had any collaboration with the GGC or not. They therefore had to call their head offices

to ascertain whether such partnership exists. Nonetheless, they all expressed readiness to

finance warehouse receipts (WR) that are brought to their branches. They were, however,

shocked that no farmer had ever approached their branches with WR for loans.

When the acting coordinator of the GGC in the Northern region was asked about the

reason why farmers do not go for loan with the WR, it was disclosed that farmers are

reluctant to go for loans because of high interest rates. Some of the stakeholder banks

acknowledged that the WRS would be a better option to give loans to farmers. They

explained that smallholder farmers who come for group loans have proven not credit

worthy. This has compelled them to move away to nucleus loan scheme where loans are

given to large scale farmers who in turn distribute them to individual smallholder farmers

in the form of farm inputs. The large scale farmers buy the produce from the individual

farmers after harvest and re-sell them to service the loan. The financial institutions

believe that financing a collateralised warehouse receipt system would be the best

alternative to give loans to smallholder farmers.

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Table 4.9: Review of Performance of Functions by the Financial InstitutionsExpected Functions of Financial Institutions Observed Functions

Electronic Communitywarehouse warehouse

Lending against commodities in stock in the WRS -

Provision of education on borrowing procedures -

Low interest rates policy for loans that are contracted - -with warehouse receipts

means that the functions are performed, whilst hyphen (-) means that the functions are not performed (Gap).

4.3.5.6 Ministry of Local Government and Rural Development (District Assemblies)

District Assemblies are fully aware of operations of the GGC’s warehouse receipt

system. The expected and observed functions and, functional gaps or deficiencies of

District Assemblies to the WRS are summarised in table 4.10. Through its department of

agriculture, the District Assemblies organised training for farmers, through the FBOs.

The assemblies ensure that all agricultural programmes and interventions from the

regional office are duly implemented at the research communities.

The assemblies have also constructed roads that link most food producing areas to the

communities. The majority of respondents (89%) testified that there are road networks

from their farms to the communities, although 63% said the roads are not in good shape.

Good market settlements that are equipped with warehouses are also built at the district

capitals. Farmers therefore have the opportunity to send their produce to main market

centres on market days that are organised every six days.

One core function of MoFA is to provide extension services to farmers. They are

supposed to visit farmers on the field but due to reduced number of staff, such

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interventions and educations are channeled through FBO meetings. When farmers were

asked whether they had ever been visited by extension agents, 37% of farmers responded

yes. The majority of farmers (63%) had never been visited by extension agents on the

field.

The district assemblies, through its agricultural departments, are supposed to build more

community warehouses as part of their social intervention programmes to help

smallholder farmers reduce post-harvest losses. However, there are inadequate

warehouses at the community level. All the research communities had only one

warehouse for the WRS programme with a capacity of 80MT. Therefore, only a fraction

of farmers are able to store their produce at the warehouse.

Table 4.10: Review of performance of functions by the District AssembliesExpected Functions of District Assemblies Observed Functions

Electronic Communitywarehouse warehouse

Construction and maintenance of rural road networks to link farming communities

Building of market settlements with warehouses at District capitals

Building of warehouses to reduce post-harvest losses - -

Provision of extension services to farmers -

Implementation of agricultural policies from regional department of agriculture

means that the functions are performed, whilst hyphen (-) means that the functions are not performed (Gap).

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4.4 Scope of Promotional Activities and the Extent of Farmers’ Awareness aboutWRS

This section discusses the communication channels and content of messages used to

promote the WRS to farmers. The extent of farmers’ knowledge about the functions of

GGC’s WRS is also assessed.

4.4.1 Scope of Promotional Activities by Ghana Grains Council

Since its inauguration in 2010, the Ghana Grains Council (GGC) has embarked on

intensive promotional activities to create awareness about the warehouse receipt system

(WRS). Some of the channels used for the promotion of WRS in the Northern region

include television (Savanna television), radio, newspaper publications, extension agents,

trainer of trainees approach (TOT), and traditional gong-gong beating system through the

traditional leaders at the various communities. Seminars and workshops were also

organised for leaders of the Farmer Based Organisations (FBOs), and a few selected

agricultural students of University for Development Studies (UDS) in the TOT

programme to help disseminate information to respective communities. GGC explained

to farmers about the benefits they stand to gain when they participate in the programme.

Some of these benefits as explained to the farmers include access to storage facility,

access to credit, access to market, and high price for their produce. The trainers however

targeted members of the FBOs.

The promotion of the WRS to smallholder farmers was intensified in the year 2013, when

the GGC had support from Alliance for a Green Revolution in Africa (AGRA) to embark

on a project known as the Ghana warehouse receipt promotion (GWARP). The project

was divided into three phases, and was operated in the three Northern regions in Ghana

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(Upper East, Upper West and Northern region). The first phase of the project was

specifically meant to register more smallholder farmers into the WRS. Training and

capacity development was therefore organised for smallholder farmers at the grass root.

Training of grain aggregators who may mop-up the produce of smallholder farmers into

the community warehouses was the second stage of the project, whereas the third face

focused attention to the renovation of community warehouses.

4.4.2 Extent of Farmers’ Awareness about WRS

All the 400 farmers interviewed were aware of the operation of warehouse receipt system

at their communities, though some did not have detailed information about the activities

of the system and benefits that come with it. Respondents shared their knowledge and

experience to confirm the extent of awareness.

4.4.2.1 Knowledge on Functions of WRS

Farmers’ knowledge about twelve elements of activities or benefits of WRS was

assessed. About 36% of the respondents knew that warehouse receipt system can enhance

access to credit from financial institutions, while 40% were aware of the possibility to

collateralise the commodity in stock using the warehouse receipt (Table 4.11). Nearly

40% of respondents were aware that participation in electronic WRS provides insurance

package for depositors; more than a third are aware that the system provides track record

on borrowers to financial institutions (35.5%). On the provision of access to formal

markets, 49% expressed knowledge about it whilst 63.5% indicated that they had no idea

that participation in electronic WRS involves quantity or quality limit.

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Table 4.11: Extent of Farmers’ Awareness about WRS: Distribution, Mean Score and Chi-square Analysis

Activities or Benefits of WRS Knowledge of Benefit of WRS

Yes (1) No (0) Chi-square AsympSig.

WRS provides collateral 160 (40.0) 240 (60.0) 16.00 0.000

WRS provides access to loan 145 (46.3) 255 (63.7) 31.36 0.000

Provides track records for banks 142 (35.5) 258 (64.5) 34.81 0.000

Provides insurance for farmers 154 (38.5) 245 (61.3) 21.16 0.000

WRS provides storage facility 399 (99.7) 1.0 (0.3) 396.01 0.000

WRS reduces post-harvest losses 389 (97.3) 11 (2.7) 357.21 0.000

WRS Provides market information 267 (66.7) 133 (33.3) 43.56 0.000

Provides access to formal markets 196 (49.0) 204 (51.0) 0.25 0.617

WRS ensures higher output prices 288 (72.0) 112 (28.0) 79.21 0.000

Eliminates cheating on farmers 240 (60.0) 160 (40.0) 16.0 0.000

Reduces transport cost to market 280 (70.0) 120 (30.0) 62.41 0.000

Electronic WRS involves quantity 146 (36.5) 254 (63.5) 30.25 0.000or quality limit

* Values in parentheses are in percentages. For Chi-square, 0 cells (0.0%) have expected frequencies less than 5. The minimum expected cell frequency is 200

Results of the chi-square analysis (based on goodness of fit test) shows that more than

half of the farmers significantly had knowledge about six functions (with respect to their

frequencies and p-values) (appendix 2 and Table 4.11). These are provision of storage

facility, reduction of post-harvest losses, helping farmers to obtain market information,

helping farmers to obtain higher prices for their produce, elimination of cheating during

sales, and reduction of transport cost to market.

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The results also show that more than half of the farmers significantly had no knowledge

about the following functions of WRS (appendix 2); provision of collateral for loan,

helping farmers to obtain loans, provision of track record of farmers to financial

institutions, provision of insurance for farmers, and imposition of quality and quantity

limit on farmers in the electronic WRS. The null hypothesis which stated that there is no

significant relationship between promotion and the extent of farmers’ awareness about

the functions of warehouse receipt system was therefore maintained since p-values of the

inferential statistics about those functions were all less than 0.05, indicating that the

extent of farmers’ awareness is low. This is consistent with the study by Chitra, (2014) on

factors influencing the use of warehouse receipt as a financial instrument in the Western

and Eastern regions of Kenya that shows that the majority of farmers in the study area

were not aware of the WRS. The two contrasting results on the extent of farmers’

awareness on different functions of WRS explain that some of the content of promotional

messages was understood by farmers better than others.

4.4.2.2 Knowledge on Benefits

The majority of respondents acknowledged awareness about the following activities of

WRS (Table 4.11): Provision of storage facility (99.7%), reduction of post-harvest losses

(97.3%), provision of market information (66.7%), enhancement of higher output price

(72%), elimination of cheating on farmers by buyers (60%), and sales of maize at

warehouse by participants without incurring extra cost to transport them to market (70%).

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4.4.2.3 Source of Information on WRS

When farmers were asked how they heard about the programme for the first time, 44%

and 28% got it through FBOs meetings and interactions with other farmers respectively

(Figure 4.3). Others heard it from the warehouse operators (19%) and extension agents

(3%). Radio (1%) and television (1%) were less important sources of information. This

result is consistent with the study of Simon et al. (2013) which concluded that social

media gives scanty information about promotion of a new project and that, interaction by

farmers in their social system is most important.

0.75%

3.75% 1% 1%

27.75%Television

Radio43.75%

FBO

WH Operator

Extension agent

19%

Co-farmers

Sign post3%

Gong-gong

Figure 4.3: Source of Farmers’ Information on WRS

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4.4.2.4 Participants’ Experience with WRS

Out of the 400 respondents who were aware of the WRS, 142 (35.5%) participated in the

community warehouse receipt system (figure 4.4). About 27% of the respondents said

they participated with the hope of obtaining all the benefits listed by the GGC when they

interacted with them – storage, market, credit, and high price (figure 4.5). This finding is

consistent with the result of Towo and Kimaro (2014) which finds that participation in

WRS by farmers is influenced by access to credit, access to commodity market, access to

good storage facility, and high price for produce. The majority expected to attain a

minimum of two of the benefits. A few people expected to attain only one of the benefits.

35.50%

64.50%Participants

Non-participants

Figure 4.4: Participation in Warehouse Receipt System

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The respondents affirmed that the gains acquired through participation in the community

WRS were related to credit, storage space and discount on storage price, market,

technical and managerial education. On credit, one respondent expressed the following:

“USAID helped me to acquire a tractor due to my participation in the WRS. I was

offered the opportunity to pay just 30% of the total cost of the tractor, while USAID paid

the remaining 70%. Meanwhile, I did not have immediate cash of that 30% value of the

tractor. So I told the USAID officers that I could pay later when my maize at the

warehouse is sold. The officers therefore inspected the maize at the warehouse and gave

the tractor to me” (Alhassan Seidu, Kpatinga community).

Storage, finance & High price

Storage, Market & Finance

Market access

Market & High price

Market, Finance & High price

Market & Financial Services

Storage & Financial Services

Reduction of post-harvest losses

Storage, Market & High price

Storage access

Storage & Market

Storage & High price

Storage, market, Finance & High price

0.70%

0.70%

0.70%

1.41%

1.41%

2.82%

3.52%

8.45%

9.15%

11.27%

16.20%

16.90%

26.76%

0 0.05 0.1 0.15 0.2 0.25 0.3Percentages

Figure 4.5: Reasons for Farmers’ Participation in Warehouse Receipt System

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Farmers who participated in the community warehouse receipt system stored a mean

quantity of 17 bags of maize (110kg per bag) for an average duration of five months.

Farmers are however allowed to withdraw part or all their produce from the warehouse

anytime they have shortage of food or money at home. An amount of GH¢ 1.0 is paid for

each bag of maize stored at the community warehouse by members of the FBOs, whiles

non-members paid GH¢ 2.0 each. The GH¢ 1.0 difference paid by non FBO members is

meant to complement the dues paid by members of the FBOs for maintenance of the

community warehouses. Participants obtained a mean price of GH¢ 140.0 from later sales

of their produce. Maize stored at the community warehouses is not graded and insured.

About 2% of the participants experienced post-harvest losses.

On technical and managerial education, respondents testified that workshops were

organised for the participants to train them on how the WRS operates, how to treat their

maize for storage, and good storage practices. One of the respondents expressed the

following:

“if your maize is stored at the warehouse, not even a single grain will drop from the bag.

The maize is also free from insect attack and mould” (Ibrahim Fuseini, Diare

community).

Farmers also testified that they were educated on good agronomic practices such as the

use of improved varieties of seeds for planting, planting in rows, fertilizer application

among others.

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4.4.2.5 Respondents’ Reasons for Non-Participation in WRS

A total of 258 respondents who were aware of the WRS did not participate in the project.

The major reason was related to the small volume of produce handled (about 61%). Small

quantities are stored at home for consumption. One respondent expressed the following:

“I was extremely happy when the importance of participating in the WRS was explained

to me by the warehouse operator. However, I have not been able to participate due to low

produce. I am afraid people will laugh at me when I send small quantities of maize to the

warehouse and go back for it few days later for household consumption” (Inusah

Mohammed, Tamaligu community).

Others gave reasons such as lack of adequate understanding about the benefits; long

distance to the community warehouse from their homes; fear that storage charges will be

exorbitant; and less space at the warehouse. One respondent expressed the following:

“I wish to participate in the WRS but the warehouse is too small. It is always full by the

time I harvest my maize” (Amidu Ibrahim, Shellilanyili Community).

Some of the farmers also claimed they had their own storage facilities. Others also

indicated that they thought the warehouse was meant for only members of the FBOs.

A few (1%) farmers in one community (Kpatinga), who were participants of the WRS

have decided never to participate again due to personal problems they had with some

leaders at the community warehouse. These farmers claimed that the warehouse operator

has compromised his position with partisan politics. Therefore, he only gives essential

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information to participants who are his party affiliates. One respondent expressed the

following:

“I was a member of the community WRS but I have stopped. This is because the leaders

are playing partisan politics with the project. If you are not affiliated to their political

party, they fail to give you information about buyers who would like to buy maize from

the warehouse, as well as other essential information” (Mohammed Abdul Karim,

Kpatinga).

Upon hearing the details and benefits of participating in the WRS, 232 non-participants

(89.92%) were willing to participate. This suggests that information on the WRS will

yield good response from the target group if well packaged.

4.5 Perceptions of Farmers about the Benefits and Constraints of WRS

Farmers’ perceptions about the benefits and constraints of WRS to their farming activities

could tremendously affect their participation in the project. Farmers gladly join WRS

when they find it relevant to their farming operations, especially as testified by others.

4.5.1 Farmers’ Perceptions about Benefits of WRS

The benefits of WRS as perceived by respondents are listed in Table 4.12. Enhancement

of access to output market was measured by three indicators; ability of farmers to sell

high proportion of produce, ability to sell to organisations, and ability to obtain high price

for the produce sold. The majority of farmers (85.3% and 84.5%) respectively perceived

that WRS enhances sale of high proportion of produce, and high price for produce sold,

while 52.3% believed WRS has the potential of enabling farmers sell to public and

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private organisations. The overall mean score of 2.11 indicates that farmers generally

agree that WRS enhances output market access.

With respect to facilitation of trade, 76.8% of farmers perceived that WRS enables

participants have access to ready market for their produce, 85.3% believed maize is sold

at the warehouse instead of incurring extra cost to transport them to market, 77%

perceived that WRS enables farmers have access to market information on prevailing

maize prices, whilst 69.8% perceived that WRS guarantees delivery of produce to buyers

on contracts basis. The general mean score of 1.97 signifies that farmers agree to the

facilitation of trade as enhanced by WRS. A few farmers agree that WRS enhances

access to credit, measured by four indicators; ability to obtain loans from financial

institutions (36%), ability to obtain large amount of loans (20.3%), moderate interest paid

on loans (13.3%), and provision of insurance against potential loss (3.3%). The general

mean score of 3.38 shows that farmers moderately agree that WRS enhances access to

credit.

Improvement of farm income is the motive of every farmer. It was generally agreed by

respondents with a mean score of 1.69 that the participation of WRS enables farmers

increase their income tremendously. With respect to indicators used to measure

improvement of income, the majority of farmers acknowledged that WRS reduces

transport cost to market (81.8%), curtails cheating on weight and quality (64.8%),

provides storage facility to participants (99.5%), and reduces post-harvest losses (95%).

However, respondents moderately agree that WRS mitigates price risk with a mean score

of 2.76, measured by reduction of seasonal price variability (31.8%), increases market

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power of farmers (62%), Links farmers to extension services (68.3%), and links farmers

to farm input dealers (45%).

Table 4.12: Perceptions of Farmers about the Benefits of WRSBenefits of warehouse receipt system Agree Not Sure Disagree Mean

Enhancement of access to output marketAbility to sell high proportion of produce 341 (85.3) 45 (11.3) 14 (3.5) 1.873Ability to sell to organisations 209 (52.3) 130 (32.5) 61 (15.3) 2.533Ability to obtain high price for produce 338 (84.5) 40 (10.0) 22 (5.5) 1.925

2.110Facilitation of tradeGuarantees ready market for produce 307 (76.8) 52 (13.0) 41 (10.3) 2.163Maize is sold at the warehouse 341 (85.3) 41 (10.3) 18 (4.5) 1.705Enable farmers obtain market information 308 (77.0) 81 (20.3) 11 (2.75) 1.870Guarantees delivery of produce to buyers 279 (69.8) 94 (23.5) 27 (6.8) 2.120

1.965Enhancement of access to creditAbility to obtain loans from financial 174 (36.0) 150 (73.5) 106 (26.5) 2.950InstitutionsAbility to obtain large amount of loan 81 (20.3) 190 (47.5) 129 (32.3) 3.240Interest paid on loans are moderate 54 (13.5) 156 (39.0) 190 (47.5) 3.863

3.380Improvement of farm incomeReduces transport cost to market 327 (81.8) 39 (9.8) 34 (8.5) 1.853Curtails cheating on weight and quality 259 (64.8) 117 (29.3) 24 (6.0) 2.168Reduces post-harvest losses 380 (95.0) 20 (5) 0 (0) 1.510Provides storage facility 398 (99.5) 2 (0.5) 0 (0) 1.230

1.690Mitigation of price riskReduces seasonal price variability 127 (31.8) 203 (82.5) 70 (17.5) 2.850Increases market power of farmers 248 (62) 100 (25.0) 52 (13.0) 2.415Links farmers to extension services 273 (68.3) 93 (23.3) 34 (8.5) 2.270Links farmers to farm input dealers 180 (45.0) 136 (34.0) 84 (21.0) 2.785

2.580** Values in parentheses are in percentages

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4.5.2 Farmers’ Perceptions and Ranking of Constraints of WRS

Results of farmers’ perception about challenges or constraints of WRS as listed to them

are presented in Table 4.13. Farmers’ perception that the participation in WRS at the

community level involves high storage cost was measured by two indicators; cost of

transport to warehouse, and payment for storage. The majority disagree that payment for

storage is high (59.8%), or there is high cost of transporting produce to the warehouse

(57%). The mean score of 3.45 nonetheless signifies that farmers moderately agree that

there is high storage cost at the community WRS. Again, there is quantity and quality

limit imposed on farmers to participate in the electronic WRS. It was therefore assessed

whether this limitation is applicable to the community WRS. However, the mean score of

3.54 indicates that farmers disagree there is a limit imposed on them in the community

WRS.

Farmers were also asked to indicate their perception about the effectiveness of regulatory

oversight by the GGC at the community level. This was measured by four indicators; no

insurance package, inadequate training on how stored maize is treated, non-transferable

warehouse receipt, and few financial institutions to borrow from. The overall mean score

of 2.57 indicates that farmers moderately agree that there is low regulatory oversight by

the GGC. Finally, farmers’ perception about lack of suitable storage infrastructure at the

community level was assessed. The majority disagree that there is long distance to

warehouse (64.5%); warehouses are not in good condition (71.8%); and WRS is used by

only rich farmers (50%). This is contrary to the assertion by Kumah et al. (2012) that

farmers were reluctant to participate in WRS because they perceived the system to be

used by only rich farmers. However, 90.5% of respondents acknowledged the fact that

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there are few warehouses to choose from. Every research community had only one

warehouse with a total capacity of 80 metric tonnes. In all, the overall mean score of 3.06

indicates that farmers moderately agree that there is the lack of suitable storage

infrastructure supporting the community warehouse receipt system.

Table 4.13: Farmers’ Perception of Constraints of WRSConstraints of warehouse receipt system Agree Not Sure Disagree Mean

High storage cost

High cost of transporting produce to 136 (26.8) 35 (8.8) 229 (57) 3.373WarehousePayment for storage is high 113 (28.3) 48 (12.0) 239 (59.8) 3.528

3.451

Limits imposed by warehouse operators

Quality limit is too high to meet 50 (12.5) 154 (38.5) 196 (49.0) 3.470

Quantity limit is too high to meet 47 (11.8) 132 (33.0) 221 (55.3) 3.605

3.538

Non effective regulatory oversight

No insurance package for stored maize 156 (39.0) 162 (40.5) 82 (20.5) 2.683

Inadequate training on how to treat maize 113 (28.3) 115 (28.8) 172 (43.0) 3.180Stored

Non-transferable warehouse receipt 121 (30.3) 242 (60.5) 37 (9.3) 2.720

Few financial institutions to borrow from 344 (86.0) 32 (8.0) 24 (6.0) 1.680

2.566

Lack of suitable storage infrastructure

Long distance to warehouse 119 (29.8) 23 (5.8) 258 (64.5) 3.520

Warehouses are not in good condition 77 (16.8) 46 (11.5) 287 (71.8) 3.748

Few warehouses to choose from 362 (90.5) 8 (2.0) 30 (7.5) 1.638

WRS is used by only rich farmers 118 (29.5) 79 (19.8) 203 (50.0) 3.313

3.055** Values in parentheses are in percentages

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4.5.2.1 Ranking of Constraints of WRS

Farmers were asked to rank the constraints presented to them, and Kendall’s Coefficient

of Concordance was used for the analysis. A value (1) was assigned to the most pressing

constraint and a value of (12) was assigned to the least important constraint. Details of

ranking of constraints are presented in table 4.14.

A few warehouses to choose from were ranked by farmers as the most pressing

constraint, followed by few financial institutions to borrow from. The next important

constraint to farmers was the absence of insurance package for stored commodities at the

community warehouse, followed by non-transferable community warehouse receipt

(Goods Received Note). The fifth constraint ranked by farmers was inadequate training

on how to treat their maize, followed by the perception that community warehouses are

used by rich farmers to store their maize. The null hypothesis (Ho) which stated that there

is no agreement between rankings of the constraints is rejected. The chi-square value of

the test of the Kendall’s Coefficient of Concordance (0.303) is significant at 1 %

therefore the hypothesis on no agreement among respondents in the ranking of the

constraints is rejected.

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Table 4.14: Ranking of Constraints by the Kendall’s Coefficient of ConcordanceConstraint / Challenge Mean Rank Ranking by Farmers

A few warehouses to choose from 2.94 1st

Few financial institutions to borrow from 3.03 2nd

No insurance package for your stored maize 5.59 3rd

Non-transferable Warehouse Receipt 5.68 4th

Lack of training on how to treat your maize 6.82 5th

WRS is used by rich farmers 7.06 6th

High cost of transporting produce to warehouse 7.28 7th

Quality limit is too high to meet 7.56 8th

Payment for storage cost is high 7.76 9th

Long distance to warehouse 7.90 10th

Quantity limit is too high to meet 7.95 11th

Warehouses are not in good condition 8.43 12th

Number of observations = 400; Kendall’s W = 0.303; Chi-square = 1.334 df = 11; Asymp Sig = 0.000

4.6 Impact of WRS on Access to Credit from Formal Financial Institutions

This section presents the results of both descriptive statistics and econometric analysis of

farmers’ access to credit from formal financial institutions.

4.6.1 Descriptive Analysis on Access to Credit

Access to credit or (loan funds) does not occur in vacuum. It begins with the conscious

effort by borrowers to identify lending institutions, and make a move to apply for loan. In

the study, more than half of farmers interviewed (57%) were not aware of any financial

institution that lends to people (Figure 4.6). About 70% of the respondents had no bank

account; and 75% had no savings with any financial institution. Out of the 122

respondents who had bank account, only 29% had their account with the formal

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commercial banking institutions. The majority (62%) had their accounts with rural banks,

while 9% had accounts with microfinance companies.

When farmers were asked whether they had requested for loan from any financial

institution before, only 122 (31%) answered yes. Out of that, 84 farmers (69%) received

the loan with mean amount of GH¢ 816.67 (minimum GH¢200.00 and maximum GH

¢7000.00). About 80% of farmers who received the loan were participants of WRS

(Appendix 3). This suggests that WRS has the potential of helping smallholder farmers

gain access to credit. The result is consistent with the study of Onumah (2012) on

warehouse receipts and securitisation in agricultural finance to promote lending to

smallholder farmers in Africa, which concluded that WRS undoubtedly contributes to

improving access to credit by smallholder farmers. The majority of farmers (98%) who

received the loan used guarantee as the collateral substitute mechanism in the group loan

scheme. Most farmers (61%) used the loans acquired to buy farm inputs. The rest used it

for petty trading (23%), pay school fees of their wards (14%), and to pay their debt

(2.4%).

The farmers (70%) who had not requested for loan before provided the following reasons

(Figure 4.7): lack of collateral (31%), did not need loan (24%), lack of knowledge about

the procedure for acquiring loan (15%), and high interest rate (9%). Some of the farmers

disclosed that they feel shy to enter the banking premises (3%) while others said the

repayment schedules may be unfavourable to them (3%). Some also perceived that their

religion does not allow them to take loans on which interest is charged (8%)

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42.70%

57.30% Aware

Not aware

Figure 4.6: Farmers’ Awareness of Lending Institutions

Apart from the extra loan facility obtained from formal financial institutions, all

participants of community WRS received credit in the form of farm inputs. The

community WRS by practice, is an out-grower scheme where participants readily

obtained fertilizer, insecticides, improved seeds and other essential services as discussed

in section 4.3.2.

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Shyness to enter banking premises 3%

Non favourable repayment schedules 3%

Fear of not getting the loan 8%

Religious reasons 8%

High interest rate 9%

Ignorance of borrowing procedure 15%

Do not need it 24%

Lack of collateral 31%

0 0.05 0.1 0.15 0.2 0.25 0.3 0.35Percentage

Figure 4.7: Reasons why some Farmers Never Requested for Loan

4.6.2 Results of Endogenous Switching Regression Model on Access to Credit

The full information maximum likelihood estimates of factors of participation in WRS

and effect of WRS on access to credit are presented in appendix 4. The first column

depicts the estimated coefficients of selection equation on participation in WRS or not.

The second and third column shows the factors affecting access to credit for participants

and non-participants of WRS respectively. The Wald chi2 test for the endogenous

switching regression model is significant at 1%. This indicates that the model is a good fit

for the explanatory variables.

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4.6.2.1 Factors Affecting Access to Credit

Access to credit is an important factor in the farming activities of smallholder farmers,

especially to those who have no savings. Credit (loan) is critical to acquire the basic farm

inputs needed to boost productivity and increase farm income status of farmers.

Smallholder farmers are faced with limited access to credit due to factors such as lack of

collateral (IFC, 2014). Warehouse receipt system (WRS) has been suggested as a solution

to the problem. The study therefore assesses the effect of WRS on access to credit by

smallholder farmers.

Results of factors of access to credit by participants of WRS (Appendix 4 column 2)

show that education, farm size, access to market information, and payment of taxes are

significant. Additional number of years in education, increase in farm size, and access to

market information increases access to credit. The more smallholder farmers are

educated, the more they understand the requirements of financial institutions to give

loans to borrowers. Increases in both farm size and maize output influence access to

credit due to the ultimate reflection on farm income. Additional information on market

prices enables farmers to sell their produce for higher prices for more incomes. This

makes them credit worthy and therefore, encourage financial institutions to give them

loans.

The results obtained of non-participants (Appendix 4 column 3) on education are similar

to that of the participants. Education increases the confidence levels of any farmer to

approach financial institutions for loans. Additional payment of taxes reduces available

farm income; non participants were mostly affected by taxation and it reduced their credit

worthiness.

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4.6.2.2 Impact of WRS on Access to Credit by ESRM

The correlation coefficients rho_1 and rho_2 are both negative but are significant only for

the correlation between the WRS participating choice equation and smallholder farmers

who actually participated in WRS (Appendix 4). Since rho_1 is negative and significantly

different from zero, the model suggests that farmers who participate in WRS have a

higher access to credit than what a random farmer in the sample would have obtained.

The finding is consistent with those of Mahanta (2012) who finds that warehouse receipt

system enhances access to credit by farmers. Smallholder farmers who are non-

participants of WRS are not better or worse than a random farmer. The likelihood-ratio

test is statistically significant at 1%, indicating that the null hypothesis which states that

WRS has no significant effect on farmers’ access to credit can be rejected in favour of the

alternative. WRS has a positive effect on access to credit.

The impact of WRS on access to credit is further shown by results presented in table

4.15. The expected access to credit by smallholder farmers that participated in WRS is

higher than farmers that did not participate by GH¢187.35 (a - b). The treatment effect of

WRS reveals that had the WRS participants decided not to participate, they would have

gained GH¢ 219.82 less credit from financial institutions (a - c).

Again, had the smallholder farmers who did not participate in WRS (case d) decided to

participate, their access to credit would have increased by GH¢ 35.88. These results

testify that participation in WRS significantly increased access to credit by smallholder

farmers both in terms of propensity to access and amount obtained.

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The results on heterogeneity effects disclose that smallholder farmers who participated in

WRS would have gained more access to credit to the tune of GH¢223.20 than non-

participants, even if the non-participants had decided to participate in the WRS.

Conversely, had the participants of WRS decided not to participate, their access to credit

would have reduced by GH¢32.47 than non-participants. Finally, there is a positive

transitional heterogeneity of GH¢25.70. This means that the impact of WRS on

smallholder farmers’ access to credit is significantly higher for farmers who actually

participated than farmers who did not participate.

Table 4.15: Expected Access to Credit, Treatment and Heterogeneity Effect of WRSAccess to Credit Decisions stage Treatment Effect

To Not toParticipate participate

Farmers who Participated (a) 419.99 (c) 200.17 219.82 (10.61)***

Farmers who did not Participate (d) 196.79 (b) 232.64 -35.88 (23.33)***

Heterogeneity effects BH1 = 223.20 BH2= -32.47 TH = 25.7

Absolute value of t-statistics in parenthesis, *Significant at 10% level, *Significant at 5% level, and

***Significant at 1% level

4.6.3 Estimation of Impact of WRS on Access to Credit by the PSM

The balancing property of the propensity score matching was satisfied and all the treated

and untreated samples were in the region of common support. Thus, the common support

assumption was satisfied in the region of 0.082 to 0.991 with a mean of 0.452. Again, the

clustering of participants and non-participants in the propensity scores (appendix 5)

indicates that the matching was successful.

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4.6.3.1 Impact of WRS on Access to Credit by PSM

The effect of participation in the Ghana Grains Council’s (GGC) warehouse receipt

system (WRS) was analysed with the kernel matching and nearest neighbour matching

methods and the results are presented in Table 4.16. Access to credit by farmers is

influenced by the quantity of maize harvested, access to output market, and the price of a

bag of maize.

The results show that, participation in WRS increases access to credit (loan fund) of

smallholder maize farmers by GH¢135.21 and this was significant at 5%. This confirms

the results of the ESRM that showed that participation in WRS enhances smallholder

farmers’ access to credit. Additionally, the quantity of maize harvested was higher by

approximately 2.0 bags for participants than non-participants, and was significant at 5%.

Again, participants gained additional GH¢34.39 on price than non-participants, and this

was significant at 1%.

Table 4.16: Average Treatment Effect on Treated (ATT): Effect of Participation ofWRS on Access to Credit by PSM

Outcome variable ATT t-statistic Treated Control S.E

Access to loan 135.21** 1.042 142 258 1.70

Price of maize 34.39*** 9.285 142 258 3.70

4.7 Effect of WRS on Smallholder Maize Farmers’ access to Output Market

This section presents results of both descriptive statistics and econometric analysis of

farmers’ access to output market.

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4.7.1 Descriptive Analysis on Access to Output Market

Marketing of maize and the corresponding prices obtained in the Northern region is

seasonal and controlled by market forces of demand and supply. Consumers depend on

maize for their household consumption early in the harvesting periods when other staple

foods such as yam are not adequately available on the market (Angelucci, 2012). Price of

maize is therefore low in January when market supply is in abundance, and increases

steadily until July where the maximum price is obtained (Figure 4.8, Appendix 6 and 7).

In August, other staple foods become available on the market therefore; maize prices

begin to fall once again. It is important for farmers to study the market and sell their

produce in June, July (Maximum price) or August. Time of harvesting and the ability of

farmers to study the levels of maize inventory at storage, as discussed in the theory of

storage in section 3.3.1 are also important.

10

9

8

7

6

5

4

3

2

1

0Jan Feb Mar April May June Jyly Aug Sept Oct. Nov Dec

Months

Figure 4.8: Seasonal Price Indices of Maize in the Northern Region (2008 – 2015)

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Most farmers (98.25%) harvested their produce from September to December. Marketing

was however throughout the year, depending on access to storage facility and financial

needs of a farmer. There are four types of output markets: farm-gate or home, local

market (spot sale space provided by the district assembly), WRS market and private

organizations also known as buying companies. In the study, farmers sold to local market

(45.13%) wholesalers at home (36.15%), or the community warehouse (18.46%) for

those who participate in WRS. Only 2.5% of the respondents had ever sold their produce

to private organisations such as Premium Foods Limited before. When farmers were

asked why they do not sell to such organisations, 44.87% and 52.82% respectively said it

was due to low quantity of produce, and lack of information about the companies and

their requirements. This is similar to the findings of Balgah and Buchenrieder (2011)

which disclose that smallholder farmers lack access to formal markets due to insufficient

production and inability to meet desired quality and standards. Lyon (2009) also affirms

that smallholder farmers in Ghana can create better access to market when they have

access to market information, and develop trust based relationships with their buyers.

The community warehouses are linked to certified warehouses that purchase directly

from them. Tiyumtaba community warehouse at Diare, and Tisongtaba community

warehouse at Tamaligu are linked to Gundaa Electronic Warehouse in Tamale. Kpatinga,

Gaa, Kpugi and Suglu Kumbo community warehouse at Shelilanyili are linked to

Savanna Warehouse and Marketing Company in Tamale.

Farmers who do not participate in WRS expressed dissatisfaction about the price they

obtain from sales. While the majority of participants (84.51%) obtained GH¢130 to GH

¢150 per 110kg bag of maize, only 12% of non-participants obtained GH¢130 to

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GH¢150. The majority of non-participants (87.98%) obtained GH¢120 and below. The

highest wholesale price on the market for the year 2015 was GH¢150.

Also, non-participating farmers depended on their colleague farmers (54.07%), and

retailers (25.19%) for their market price information. This explains why they obtained

low prices. This is because it is likely that retailers quoted prices to their advantage. Only

20.74% got market information from radio, television and FBO meetings. The GGC

provides market price information to all participants of the community warehouse receipt

system. They have a contract with Esoko Limited, a private ICT company, which enables

them obtain information on wholesale prices for maize. This information is sent directly

to participating farmers in the form of text messages to their mobile phones. One farmer

expressed the following:

“I always get up to date market price information on my mobile phone from Esoko

through GGC. I also have ready market for my produce since I am part of Gundaa

farmers” (Yakubu Alhassan, Diare Community).

4.7.2. Results of ESRM on Access to Output Market

The full information maximum likelihood estimates of factors that affect participation in

WRS and effect of WRS on access to output market are depicted in Appendix 8. The first

column shows the estimated coefficients of the selection equation. The second column

shows the factors affecting access to output market for participants of WRS whilst the

third column shows the factors affecting access to output market by non-participants of

WRS.

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4.7.2.1 Factors Affecting Access to Output Market

Results of participants of WRS admits that farmers’ access to output market is influenced

by access to loan, maize output, established buyers, and ownership of storage facility.

Increase in loan access enables farmers to buy the necessary farm inputs that increase

productivity or output which could help increase market access. This is because

wholesalers and other private or public buying organizations that purchase maize in bulk

are likely to go to farmers who have more produce in order to save time and minimize

transportation cost. Having established business relationship with buyers also facilitates

trade and for that matter, enhances access to market. What a farmer needs to do is to

contact these established buyers when their produce is ready to be sold. On the contrary,

farmers who have their own storage facilities may not participate in WRS and therefore,

may lack access to market information on buyers.

In the same vein, market distance, extension services, maize output, sharing of loans by

household members, farm size, and established buyers have positive influence on access

to output market by farmers who are non-participants of WRS, whilst a unit increase in

farmers’ age negatively affects access to market by non-participating farmers.

The correlation coefficients rho_1 and rho_0 are both statistically significant.

Nonetheless, rho_1 is negative whilst rho_0 is positive. Since rho_1 is negative and

significantly different from zero, the model suggests that smallholder farmers who are

participants of WRS have higher access to output market (sold more proportion of

produce) than what a random farmer in the sample would have earned. Again, since

rho_0 is positive, the model explains that farmers who are non-participants of WRS have

less access to output market than what a random farmer in the sample would have

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obtained. The likelihood-ratio test for joint independence of the three equations is

statistically significant at 1%. This implies that these three equations jointly depend on

each other and should not be estimated differently.

4.7.2.2 Impact of WRS on Access to Output Market by ESRM

The result of impact of WRS on access to market (table 4.17) shows that, smallholder

farmers who are participants of WRS sold more produce than non-participants by 3.0%.

This result may be misleading and can lead to a conclusion that the participation of WRS

has a minimum impact on the access to market by smallholder farmers. There are other

actual and counterfactual results that make the analysis more meaningful. The results

show that had the smallholder farmers who participated in WRS decided not to

participate, they would have suffered less sales of produce by 18%. Alternatively, had the

smallholder farmers who did not participate in WRS participated, they would have gained

additional sales by 48.0%.

The results on heterogeneity effect of WRS shows that, smallholder farmers who

participated in WRS would have sold more produce than non-participants by 51.0%, even

if the non-participants had participated. Furthermore, if the participants had not

participated, they would have sold less produce than smallholder farmers who did not

participate by 15.0%. Last, there is a positive transitional heterogeneity which implies

that the impact of WRS on smallholder farmers’ access to market is significantly higher

for farmers who participated than those who did not participate.

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Table 4.17: Expected Access to Output Market, Treatment and Heterogeneity Effect of WRS by the ESRM

Log Access to Output Market Decisions stage Treatment Effect

To Not toParticipate Participate

Farmers who Participated (a) 3.18 (c) 3.00 0.18 (3.01)***

Farmers who did not Participate (d) 2.67 (b) 3.15 -0.48 (66.54)***

Heterogeneity effects BH1 = 0.51 BH2= - 0.15 TH = 1.0

Absolute value of t-statistics in parenthesis, *Significant at 10% level, *Significant at 5% level, and

***Significant at 1% level

4.7.3 Estimation of Impact of WRS on Access to Output Market by PSM

Kernel matching and nearest neighbour matching methods were used to estimate the

impact of participation in warehouse receipt system (WRS) on output market and the

result is presented in table 4.18. The result shows that, access to output market by farmers

is determined by the quantity of maize sold, and the price of a 110kg bag of maize.

Participants of WRS sold approximately 12 bags of maize more than non-participants,

and gained additional price of GH¢34.39, all significant at 1%. This is consistent with the

result of the ESRM. The null hypothesis which states that participation in WRS has no

significant effect on smallholder farmers’ access to output market is therefore rejected in

favour of the alternative. This means that participation in WRS has a positive influence

on smallholder farmers’ access to output market.

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Table 4.18: Average Treatment Effect on Treated (ATT): Effect of Participation ofWRS on Output Market by PSM

Outcome variable ATT t-statistic Treated Control S.E

Quantity sold 11.89*** 3.996 142 258 2.97

Price of maize 34.39*** 9.285 142 258 3.70

4.8 Impact of WRS on Crop Income of Smallholder Farmers

This section presents the econometric and descriptive statistics results on the analysis of

the effect of WRS on farmers’ crop income.

4.8.1 Descriptive Analysis on Farmers’ Income

Income of farmers is partly influenced by the total quantity of produce harvested, market

price obtained for selling the produce and, the total cost of inputs used on the farm. The

output obtained is informed by the acres (or hectares) of land cultivated, quality of seeds

used, and fertility of soil, favourable weather condition, and experience of the farmer,

among others.

The farmers interviewed cultivated an average of 4.6 acres of land with a mean output of

21.9, giving an approximate output of five bags of maize per acre. The majority of

farmers (70%) used both family and hired labour on their farm but 24.5% used only

family labour whilst 5.5% used only hired labour. Meanwhile, all the farmers partly

practiced farm mechanisation on their farms, either during the tillage, or threshing and

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bagging stage. Through batter system, the farmers paid one bag of maize (110kg) for

threshing ten bags of maize, and one bag of maize was paid for an acre of land ploughed.

Figure 4.9 shows that the majority of participants harvested more than 30 bags of maize,

whilst the majority of non-participants harvested between 1.0 and 30 bags of maize.

80

70

60

50

40

30

20

10

01-5 6-10 11-15 16-20 21-25 26-30 31-35 36-40 41-45 46-50 > 50 Bags

Bags Bags Bags Bags Bags Bags Bags Bags Bags Bags

Quantities of maize harvested

Participants Non-participants

Figure 4.9: Quantities of Maize Harvested by Participants and Non-Participants ofWRS

Also, the majority of non-participants obtained a market price of GH¢70 to GH¢120 per

110kg bag whereas the majority of participants obtained a market price of GH¢140 to

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GH¢150 per 110kg bag (Figure 4.10). This shows that participants of WRS were likely to

have much higher income than non-participants.

90

80

70

60

50

40

30

20

10

0

Participants

Non-participants

Price of maize

Figure 4.10: Price of maize obtained by participants and non-participants of WRS

4.8.2 Estimation of Impact of WRS on Crop Income of Farmers by the ESRM

This section presents the results of factors that affect crop income of farmers, and the

impact of participating in WRS on farmers’ crop income.

4.8.2.1 Factors Affecting Crop Income of Farmers

Results of the participants of WRS confirms that increase in farm size; higher education,

savings, market price of maize, and distance to market (km) have positive influence on

smallholder farmers’ income (Appendix 9). In contrast, increase in tax payment decreases

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the income of farmers who are participants of WRS. Similarly, extension services,

savings, and farm size have positive coefficients whilst farm inputs and labour offered to

work in other farms have negative coefficients and are statistically significant in

explaining the variations in incomes among farmers who are non-participants of WRS.

Although some of the factors such as savings and farm size collectively affect the income

of participants and non-participants of WRS, the magnitude of their coefficients differ. A

unit increase in savings and farm size increase the income of participants of WRS by

78% and 18% respectively, whilst same factors increase the income of non-participants

by 24% and 4% respectively.

The negative correlation coefficient of rho_1 which is significantly different from zero

signifies that farmers who are participants of WRS have higher incomes than what a

random farmer in the sample would have obtained. On the contrary, the positive

coefficient of rho_0 which is also statistically significant at 1% suggests that farmers who

are non-participants of WRS have lower incomes than what a random farmer in the

sample would have obtained.

4.8.2.2 Impact of WRS on Crop Income by ESRM

Displayed in table 4.19 is the impact of WRS on log of income of smallholder maize

farmers. The expected crop income obtained by smallholder farmers who participated in

WRS is higher than non-participants by 34%. Nonetheless, the treatment effect proves

that farmers who participated in WRS would have reaped 132% less income if they had

not participated. Again, smallholder farmers who did not adopt WRS would have

increased their income by about 55% if they adopted it.

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The heterogeneity effect of WRS indicates that the participants of WRS were likely to

increase their income by 89% than non-participants, even if the non-participants had

participated. Meanwhile, the participants would have decreased their income by 98% if

they had failed to participate. On a whole, the positive transitional heterogeneity connotes

that the impact of WRS on smallholder farmers’ income is significantly higher for

farmers who actually participated than farmers who did not participate.

Table 4.19: Expected Income, Treatment and Heterogeneity Effect of WRS

Log Income of Smallholder farmers Decisions stage Treatment Effect

To Not toParticipate Participate

Farmers who Participated (a) 9.28 (c) 7.96 1.32 (15.3)***

Farmers who did not participate (d) 8.39 (b) 8.94 - 0.55 (92.9)***

Heterogeneity effects BH1 = 0.89 BH2= -0.98 TH = 2.14

Absolute value of t-statistics in parenthesis. *Significant at 10% level, *Significant at 5% level, and

***Significant at 1% level

4.8.2.3 Estimation of Impact of WRS on Crop Income of Farmers by PSM

The impact of participation in the Ghana Grains Council’s (GGC) warehouse receipt

system (WRS) was analysed with the kernel matching and nearest neighbour matching

methods.

The results show that, participants in WRS earned GH¢2334.91 more crop income and

this was significant at 1% (Table 4.20). This confirms the result of the ESRM on impact

of WRS on crop income. The null hypothesis which states that participation in WRS has

no significant effect on farmers’ crop income is rejected in favour of the alternative. This

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means that participating in Ghana Grains Council’s WRS has positive effect on crop

income of farmers.

The quantity of maize harvested was also increased by approximately 2.0 bags for

participants than non-participants, and was significant at 5%. Again, participants sold

approximately 12 bags of maize more than non-participants, and gained additional price

of GH¢34.39, all significant at 1%. Post-harvest losses were lower by 93% for

participants than non-participants. This might be due to the appropriate treatment

methods practiced in the community WRS. This includes cleaning, drying, treatment with

potent chemicals that prevent insects attack, and good ventilated storage procedures. The

cost of harvesting, and transport of maize from farm were however increased by

GH¢115.23 and GH¢26.55 respectively for participants than non-participants. This

suggests that the participants harvested higher quantities of maize than non-participants.

Table 4.20: Average Treatment Effect on Treated (ATT): Effect of Participation ofWRS on Crop Income by PSM

Outcome variable ATT t-statistic Treated Control S.E

Quantity sold 11.89*** 3.996 142 258 2.97

Price of maize 34.39*** 9.285 142 258 3.70

Crop income 2334.91*** 10.45 142 258 223.47

Maize output 1.95** 2.405 142 258 0.81

Post-harvest losses -0.933** -2.063 142 258 0.45

Cost of fertilizer -10.16 -0.752 142 258 13.51

Cost of agro-chemical 12.61 0.901 142 258 14.00

Cost of seed 64.36 1.47 142 258 43.82

Cost of harvesting 115.23*** 2.92 142 258 39.45

Cost of transport 26.55*** 3.45 142 258 7.70

Standard Errors in Parenthesis. *, **, and *** represent significance at 10%, 5% and 1% respectively

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4.9 Factors Affecting Participation of WRS

The results of the selection equations from the three endogenous switching regressions

model (ESRM); access to credit (a), access to output market (b), and crop income (c), and

from the logit model used in the propensity score matching (PSM) are presented in table

4.21. The results show that the main factors that significantly affect smallholder farmers’

participation in WRS are farm size, market information, taxation, bank savings,

ownership of storage facility, skills training, transportation cost, access to loan, labour

offer, extension services, maize output, and cost of farm input. The results explain that

increase in farm size, skill training or extension services are likely to increase

participation of WRS. These factors contribute to increase in production of maize which

in turn encourages farmers to participate. About 61% out of 258 farmers who did not

participate in WRS attributed their reason for not participating to small quantity of

produce. Any factor that will boost production will therefore motivate farmers to

participate in WRS. This result is confirmed by the real increase in output of maize which

also increases participation of WRS by farmers.

Increase in market information also enhanced farmers’ participation in WRS. Market

information is important for farmers to get access to output market as well as high prices

for their produce. Farmers were therefore motivated to join WRS when they realised that

participants got market information on prices. Again, savings, and access to loan are

expected to augment participation of WRS. Savings and access to loan facility also

enable farmers to accumulate funds to buy essential inputs to increase farm production.

Farmers who are able to save or get access to loans are therefore likely to increase output

which motivates them to participate.

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Table 4.21: Factors Affecting Participation of WRS: Results from SelectionEquations of ESRM, and Logit Model of PSM

Selection equations of ESRM PSM

VariablesSelection Selection Selection Logit results

equation (a) equation (b) equation (c)

Education 0.026 (0.022) 0.042 (0.032) 0.025 (0.017)** 0.095 (0.050)*

Market distance 0.044 (0.027) 0.010 (0.032) 0.032 (0.020) 0.131(0.058)**

Input cost -0.004 (0.002)** -0.001 (0.000) 0.000 (0.000) -0.001 (0.001)**

Extension services 0.208 (0.181) 0.202 (0.276) 0.450 (0.160)*** 0.352 (0.420)

Savings 0.428 (0.211)** 0.307 (0.378) 0.537 (0.180)***

Labour offer -0.367 (0.178)** -0.125 (0.259) -0.076 (0.161) -0.001 (0.001)**

Access to loan 0.920 (0.463)** 1.207 (0.542)**

Farm size 0.037 (0.062) 0.116 (0.040)***

Taxation -0.096 (0.028)*** -0.028 (0.031) -0.029 (0.117)**

F.B.O. membership 0.734 (0.289)** 0.363 (0.111)*** 1.137 (0.433)***

Farm size 0.015 (0.042)* 0.089 (0.100)

Market information 0.934 (0.428)*** 5.632 (2.007)***

Storage facility -0.866 (0.292)*** -0.834 (0.398)** -0.806 (0.620)

Skills training 0.861 (0.431)*** 9.460 (2.142)***

Transportation cost 0.005 (0.003)*

Maize output 0.081 (0.014)*** 0.180 (0.029)***

Established buyer 0.915 (0.509)***

Constant -4.093 (0.894)*** -5. 505(1.18)*** -1.326 (0.503)*** -19.47 (3.97)***

Observation 400 400 400Log likelihood -2624.68 -267.74 -494.39 -87.1145Wald chi2(16) 1292.38 467.73 65.50Prob > chi2 0.0000 0.0000 0.0000 0.0000LR chi2(2) 17.75 18.86 21.69 346.16Pseudo R2 0.6652Standard Errors in Parenthesis. *Significant at the 10% level; **Significant at the 5% level; ***Significant at the 1% level

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On the other hand, farmers who have their own storage facilities, pay higher taxes, incur

more cost on farm inputs, and offer their farm labours to work on other farms are less

likely to participate in WRS. A unit increase in cost of inputs, and having access to

storage facility decreased the probability of participation by about 0.4% and 87%

respectively. Farmers may borrow to buy inputs. The farmer may therefore sell soon after

harvest in order to mobilise money to settle the debt. Coupled with the consumption

needs by the family, there may be no maize left for storage to encourage the farmer

participate in WRS. Again, farmers who have more maize to store but have their own

storage facilities may want to store them on their own. This is because famers may not be

aware of other benefits that can be derived from participating in the WRS. For instance,

when farmers were asked for the reason why they were not participating in the WRS,

about 9% said they had their own storage facilities, while 8% reiterated that they had no

knowledge about the benefits of participating in the system.

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CHAPTER FIVE

SUMMARY, CONCLUSION AND POLICY RECOMMENDATION

5.1 Introduction

This chapter summarises the significant issues and findings in the thesis. The conclusions

and policy recommendations deduced as a result of the findings of this research are also

captured here.

5.2 Summary

This study assessed the impact of warehouse receipt system on access to markets and

income of smallholder maize farmers in the Northern region of Ghana. A cross-sectional

data was collected from 400 randomly selected maize farmers using a structured

questionnaire. The impact of WRS was estimated by the endogenous switching

regression model and the propensity score matching to enhance robustness of results.

The WRS in Northern region has enjoyed a tremendous institutional support in the area

of promotion of the programme to smallholder farmers, registration and licensing of

electronic and community warehouses, standardisation and grading of maize, provision of

market price information to farmers and enhancement of their output market.

Nevertheless, there was no legal framework and commodity exchange market that

support the operation of warehouse receipt system. Again, only four financial institutions

(Banks) were stakeholders of the system, who charged high interest rates. The staff of the

financial institutions also had less knowledge about how the WRS operates. Furthermore,

maize stored in community warehouses were neither standardised, nor insured against

potential loss by any catastrophe. The GSA in the Northern region also lacks machinery

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to perform chemical analysis (testing for heavy metals and aflatoxin content on maize).

Participation by smallholder farmers in the system was reduced by insufficient

warehouses.

Awareness of the WRS among sample smallholder farmers is high but participation in the

scheme is low. The low participation is mainly due to low levels of maize production,

low capacity of community warehouses, and lack of knowledge about some of the

important benefits that farmers derive from participation in the system. Farmers’

awareness about the following functions of WRS is low; provision of collateral for loan,

enhancement of access to credit, provision of track record of farmers to financial

institutions, provision of insurance for farmers, and imposition of quality and quantity

limit on farmers in the certified WRS. On the other hand, the awareness about provision

of storage facility, reduction of post-harvest losses, provision of market information to

farmers, enhancement of output market and helping farmers to obtain higher prices for

their produce, elimination of cheating during sales, and reduction of transport cost to

market is high. FBO meetings and interactions among farmers were the important

channels for promoting WRS to farmers.

Farmers have a strong positive perception that participation in WRS enhances access to

credit and output market, facilitates trade, and improves crop income. However, farmers

perceived that there is lack of suitable storage infrastructure, high cost of storage, and less

regulatory oversight on the general activities of the scheme. A few warehouses to choose

from was ranked by farmers as the most pressing constraint, followed by few financial

institutions to borrow from whilst the notion that warehouses are not in good condition

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was ranked as the least important constraint. Kendall’s Coefficient of Concordance (W)

of 0.303 proves that there was about 30% agreement to the ranking of constraints.

Participants in the GGC’s warehouse receipt system than non-participants had acquired

skill training in farming, slightly more educated, and obtained higher output of maize.

The study further showed that participants were mostly members of the farmer based

organisations, obtained market information on maize prices, enjoyed extension services,

and had access to loan. Increase in cost of labour, cost of farm inputs, and having access

to storage facility nonetheless, had negative relationship with participation of WRS. The

impact analysis disclosed that participants of WRS harvested more maize, had access to

credit, access to output market, and obtained more income.

5.3 Conclusion

The number of existing institutional arrangement for the operation of warehouse receipt

system (WRS) in Ghana are more than the number of institutions that do not exist.

However, a few institutional gaps were identified as the key limitations to successful

operation of WRS. The scheme lacks legislation, commodity exchange market, indemnity

fund, and networked certified warehouses. Also, there is no policy that put a ceiling on

the interest rate charged by financial institutions on loans acquired by farmers in the

WRS. High interest rate therefore deters farmers from going for loans.

Promotional activities have created high level of awareness and some positive

perceptions about the WRS in the Northern Region. Low levels of production, inadequate

community warehouses, and low levels of knowledge about some benefits of the scheme

have limited participation of smallholder farmers.

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Participants in the WRS have enjoyed higher access to credit, access to markets and

higher income from crop sales therefore the potentials for successful and up scaling of the

scheme is high. Constraints that need to be addressed are the inadequate community

warehouses, a few number of stakeholder lending institutions, and lack of insurance

package in the community WRS.

5.4 Recommendation

The warehouse receipt system (WRS) in Ghana needs complete established institutions to

function efficiently. It is important for the respective public and private organisations to

address the identified gaps in the institutional environment. The Ghana Grains Council

(GGC) which is the regulatory body of the WRS should step up its regulatory oversight

to ensure that the community warehouses function well. There is the need to extend some

of the essential services such as insurance packages and grading of maize to the

community WRS. The maize grading will encourage public and other private

orgainsations to buy from the smallholder farmers since quality grains are assured. The

GGC should also create a network of all certified warehouses in order to allow depositors

or buyers to retrieve their maize from any nearby warehouse. Indemnity fund should be

established to encourage financial institutions to participate in the WRS. GGC should

also expedite the operation of the upgraded community warehouse receipt in order to

make it acceptable by financial institutions.

The Ministry of Trade and Industry (MoTI) in collaboration with the Ministry of Food

and Agriculture (MoFA), and GGC should add their voice to facilitate the passage of

commodity exchange and WRS bill into law. This will enable the warehouse receipts

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(WR) to be acceptable as a negotiable instrument to facilitate trade and also boost the

confidence of financial institutions to give credits to farmers in the WRS. The Ghana

commodity exchange market also needs to be established to further facilitate trade in the

WRS and encourage more financial institutions to participate in the system. The financial

institutions need to train their staff on how WRS operates in order to perfectly execute

transactions involving warehouse receipts. Also, MoFA, GGC, and Financial institutions

need to work together towards instituting a policy that places a ceiling on the interest

rates charged on loans acquired by farmers in the WRS. This will encourage farmers to

borrow from formal financial institutions.

It is important to acquire the necessary machines that will enable the Ghana Standards

Authority (GSA) in the Northern Region to test for heavy metals and aflatoxin content in

maize since this best determines the quality of maize. The GGC and MoFA, as part of the

content of messages in promoting WRS, should do away with the negative perceptions in

the minds of farmers about the high cost of storage in the community WRS. Explaining to

them why the storage fee is charged and what the money is used for will help to

encourage farmers to participate. Awareness is created but education about the WRS

needs to be deepened.

Extension agents from the department of agriculture at the District Assemblies should

train farmers in good agronomic practices and methods of farming in order to increase

production to encourage the farmers to participate in WRS. More warehouses of higher

capacities should also be built for the communities as social interventions to help

accommodate more produce from participants. This will go a long way to reduce post-

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harvest losses and opens avenues for farmers to have access to formal markets, access to

credits, and increase their incomes.

The GGC and MoFA should adequately promote the benefits of WRS to farmers,

especially its contribution in boosting access to credit from formal financial institutions,

provision of insurance for farmers and mitigation of price risk since these are less known.

Promotion should target farmers who are members of FBOs, formally educated, and have

additional formal or informal skill training in farming since they have high potentials to

participate. Inter-personal contact with farmers especially through FBO meetings is the

most effective channel of communication and promotion.

5.5 Future Research

The study only assessed the impact of warehouse receipt system (WRS) on access to

credits, output market, and crop income of smallholder maize farmers. The profitability

and sustainability of the operation of warehouse receipt system, especially the certified

electronic system where warehouse receipt is issued to depositors was not considered.

This is because it was difficult to get information from the warehouse operators since

they considered such information as secret to their business. Future research should

therefore look at assessing the profitability and sustainability of WRS in Ghana.

Also, seasonality or variability of maize prices in Ghana is pervasive, and this makes it

difficult for maize producers or buyers to plan on when to sell or buy. However, WRS is

suggested by many authors as a solution to this problem. Future research should therefore

assess the effect of WRS on maize price variability in Ghana.

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APPENDICES

Appendix 1: FBO Members who are Participants of Community WRS Membership of FBO

No Yes Total

Non-participants of WRS 190 68 258

Participants of WRS 29 113 142

Total 219 181 400

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Appendix 2: Knowledge about the Functions of WRS (Chi-square descriptive statistics)Function of WRS Knowledge Observed N Expected Residual

N

Provides collateral for loan No 240 200 40

Yes 160 200 - 40

Helps farmers to obtain loan No 256 200 56

Yes 144 200 - 56

Provides track record of farmers No 259 200 59

Yes 141 200 - 59

Provides insurance for farmers No 246 200 46

Yes 154 200 - 46

Provides storage facility No 1 200 - 199

Yes 399 200 199

Reduces post-harvest losses No 11 200 - 189

Yes 389 200 189

Helps farmers obtain price No 134 200 - 66

information Yes 266 200 66

Introduces farmers to market No 205 200 5

Yes 195 200 - 5

Helps farmers to obtain higher No 111 200 - 89

prices Yes 289 200 89

Eliminates cheating of farmers No 160 200 - 40

Yes 240 200 40

Reduces transport cost to market No 121 200 - 79

Yes 279 200 79

Imposes quality and quantity No 255 200 55

limit on farmers Yes 145 200 - 55

Total 400

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Appendix 3: Participants and Non-Participants of WRS who have Access to CreditParticipation of WRS

Participants Non-participants Total

Access to Loan 67 (80%) 17 (20%) 84

No Access to Loan 75 (24%) 241 (76%) 316

Total 142 258 400

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Appendix 4: FIML on the Endogenous Switching Regression for Access to CreditVariables FIML Endogenous Switching Regression Model

Selection WRS participants WRS non-(1 / 0) = 1 participants

= 0Gender 0.135 (0.402) -0.799 (0.963) -0.115 (0.748)Age 0.001 (0.018) 0.967 (0.535) -0.102 (0.677)Education 0.026 (0.022) 0.646 (0.804)* 0.092 (0.964)*Household size -0.011 (0.019) -0.678 (0.252) 0.684 (0.863)Experience 0.028 (0.016) 0.101 (0.263) 0.979 (0.616)Market distance 0.044 (0.027) -0.534 (0.911) -0.017 (0.081)Extension services 0.208 (0.181) 0.914 (0.547) 0.293 (0.715)Farm size 0.015 (0.042)* 0.966 (0.725)*** 0.268 (0.221)Market information 0.934 (0.428)*** 0.148 (0.769)** 0.087 (0.840)Taxation -0.096 (0.028)*** 0.385 (0.438) -0.682 (0.920)**Subsidy 0.339 (0.220) 0.641 (0.512) 0.043 (0.104)Maize output 0.357 (0.103)*** 0.011 (0.035)F.B.O. membership 0.512 (0.551) -0.111 (0.823)Savings 0.428 (0.211)**Storage facility -0.866 (0.292)***Skills training 0.861 (0.431)***Transportation cost 0.005 (0.003)*Labour offer -0.367 (0.178)**Input cost -0.004 (0.002)**Constant -4.093 (0.894)*** 3.485 (1.473)** 0.013 (0.033)/lns0 3.979 (0.052)***/lns1 6.639(0.088)***/r0 -0.649 (0.287)/r1 -1.068 (0.291)***sigma0 1.535 (2.760)sigma1 7.643 (6.025)rho0 -0.571 (0.194)rho1 -0.789 (0.110)LR test of indep. eqns. : chi2(2) = 17.75 Log likelihood = -2624.68 Prob > chi2 =0.0000Wald chi2 (16) = 1292.38Standard Errors in Bracket *, **, and *** represent significance at 10%, 5% and 1% respectively

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1 08

psco

re

6

kden

sity

42

0

0 .2 .4 .6 .8Propensity Scores

Untreated Treated

Appendix 5: Distribution of Propensity Scores for Treated and Untreated Groups

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Appendix 6: Wholesale Maize Prices in the Northern Region of Ghana (2008 – 2015

Month 2008 2009 2010 2011 2012 2013 2014 2015 AveragePrice

Jan. 30.50 40.85 34.52 38.38 62.42 50.58 61.46 92.94 51.46

Feb. 30.00 48.11 37.58 39.33 60.26 51.49 62.32 95.43 53.07

Mar. 36.46 45.51 40.25 37.28 60.26 51.49 62.87 94.23 53.54

April 37.17 47.08 37.63 38.79 64.44 50.99 68.21 98.18 55.31

May 42.67 51.25 38.10 46.21 77.70 43.70 81.37 124.98 63.25

June 53.98 54.18 37.95 53.67 74.65 45.95 88.56 142.58 68.94

July 56.84 46.04 36.38 58.44 69.85 47.04 98.69 150.92 70.53

Aug. 54.06 40.79 34.41 62.11 67.30 50.74 100.14 144.07 69.20

Sept. 56.92 34.60 33.67 50.88 52.65 51.87 93.86 138.43 63.61

Oct. 34.18 32.39 35.03 48.00 51.96 47.66 88.42 119.02 57.08

Nov. 35.06 32.81 32.44 53.42 48.19 52.50 90.84 108.09 56.67

Dec. 35.81 34.52 42.30 63.09 49.44 57.75 92.31 120.71 62.00

Source: Ministry of Food and Agriculture (MoFA)

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Appendix 7: Seasonal Price Indices of Maize Price in the Northern Region of Ghana

(2008 – 2015)

Month 2008 2009 2010 2011 2012 2013 2014 2015 SeasonalPrice

IndicesJan. 0.727 0.010 0.941 0.781 1.014 1.009 0.746 0.780 6.0064

Feb. 0.715 1.136 1.024 0.801 0.978 1.027 0.756 0.801 7.2382

Mar. 0.869 1.075 1.097 0.759 0.978 1.027 0.763 0.791 7.3583

April 0.886 1.112 1.026 0.790 1.046 1.017 0.828 0.824 7.5274

May 1.017 1.210 1.038 0.941 1.262 0.871 0.987 1.049 8.3755

June 1.286 1.280 1.035 1.092 1.212 0.916 1.075 1.197 9.0924

July 1.354 1.087 0.992 1.190 1.134 0.938 1.197 1.267 9.1588

Aug. 1.288 0.963 0.938 1.264 1.093 1.012 1.215 1.209 8.9825

Sept. 1.356 0.817 0.918 1.036 0.855 1.034 1.139 1.162 8.3166

Oct. 0.814 0.765 0.955 0.977 0.844 0.950 1.073 0.999 7.377

Nov. 0.835 0.775 0.884 1.087 0.782 1.047 1.096 0.896 7.4024

Dec. 0.853 0.815 0.884 1.284 0.803 1.152 1.120 1.013 7.9243

Proportion 12.00 11.05 11.73 12.00 12.00 11.999 11.994 11.989of mean

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Appendix 8: FIML Estimate on the Endogenous Switching Regression for Log ofOutput Market

Variables FIML Endogenous Switching Regression ModelSelect Participants = 1 Non-participants = 0(1 / 0)

Gender 0.123 (0.421) 0.037 (0.141) 0.157 (0.119)Age 0.031 (0.020) -0.008 (0.006) -0.012 (0.005)**Education 0.042 (0.032) 0.002 ( 0.007) 0.008 (0.083)Market distance 0.010 (0.032) 0.003 (0.010) 0.029 (0.010)***Input cost -0.001 (0.000) 0.000 (0.000) 0.000 (0.000)Experience 0.001 (0.019) 0.003 (0.006) 0.006 (0.006)Extension services 0.202 (0.276) 0.076 (0.067) 0.149 (0.070)**Savings 0.307 (0.378) 0.014 (0.102) 0.080 (0.106)Labour offer -0.125 (0.259) -0.017 (0.067) -0.047 (0.070)Storage facility -0.834 (0.398)** -0.164 (0.092)* -0.001 (0.138)Access to loan 0.920 (0.463)** 0.374 (0.107)*** 0.074 (0.141)Maize output 0.081 (0.014)*** 0.057 (0.003)*** 0.022 (0.004)***Farm size 0.037 (0.062) 0.014 (0.014) 0.065 (0.020)***Established buyer 0.915 (0.509)*** 0.424 (0.210)** 0.260 (0.088)***Taxation -0.028 (0.031) -0.001 (0.002) 0.021 (0.016)F.B.O. membership 0.734 (0.289)**Price of maize 0.001 (0.003) 0.003 (0.019)Constant -5. 505 (1.181)*** 2.856 (0.571)*** 0.759 (0.338)**/lns0 -0.746 (0.048)***/lns1 -0.988 (0.071)***/r0 0.776 (0.261)***/r1 -1.136 (0.425)***sigma0 0.474 (0.023)sigma1 0.372 (0.026)rho0 0.651 (0.150)rho1 -0.877 (0.098)LR test of indep. eqns. : chi2(2) = 18.86 Log likelihood = -267.74 Prob > chi2 =0.0000Wald chi2(18) = 467.73Standard Errors in Parenthesis. *Significant at the 10% level; **Significant at the 5% level; ***Significant at the 1% level

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Appendix 9: FIML Estimate on the Endogenous Switching Regression for Log ofIncome

Variables FIML Endogenous Switching Regression ModelSelection Participation = 1 Participation = 0(1 / 0) (Adopters) (Non-adopters)

Gender -0.141 (0.306) -0.030 (0.213) -0.075 (0.450)Age 0.018 (0.013) 0.12 (0.008) 0.018 (0.019)Education 0.025 (0.017)** 0.025 ( 0.011)** 0.030 (0.026)Market distance 0.032 (0.020) 0.029 (0.013)** 0.033 (0.031)Input cost 0.000 (0.000) 0.000 (0.000) -0.001 (0.002)*Experience 0.011(0.013) 0.003 (0.008) 0.020 (0.019)Extension services 0.450 (0.160)*** 0.134 (0.104) 0.632 (0.237)***Savings 0.537 (0.180)*** 0.784 (0.111)** 0. 243 (0.301)***Labour offer -0.076 (0.161) 0.095 (0.100) -0.153 (0.252)Farm size 0.116 (0.040)*** 0.182 (0.020)** 0. 041 (0.061)***Taxation -0.029 (0.117)** -0.010 (0.004)*** -0.063 (0.031)**F.B.O. membership 0.363 (0.111)***Price of maize 0.015 (0.004)*** 0.007 (0.005)Constant -1.326 (0.503)*** -3.663 (0.321)*** 4.781 (0.972)***/lns0 0.470 (0.066)***/lns1 -0.449 (0.087)***/r0 2.654 (0.447)***/r1 -1.714 (0.380)***sigma0 1.599 (0.105)sigma1 0.638 (0.056)rho0 0.990 (0.009)rho1 -0.934 (0.046)LR test of indep. eqns. : chi2(2) = 21.69 Log likelihood = -494.39 Prob > chi2 =0.0000Wald chi2(14) = 65.50Standard Errors in Bracket *, **, and *** represent significance at 10%, 5% and 1% respectively

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Appendix 10: Logit Estimates from Propensity Score Matching ExplainingParticipation

Variable Coefficient S.E Z p-value Marginal effects (dy/dx)

Gender 0.500 0.808 0.62 0.536 0.034

Age 0.022 0.305 0.73 0.465 0.002

Education 0.095* 0.050 1.91 0.056 0.007

Household Size 0.031 0.047 0.66 0.510 0.002

Distance to market 0.131** 0.058 2.27 0.023 0.009

Cost of Labour -0.001** 0.001 -2.05 0.040 -0.001

Maize Output 0.180*** 0.029 6.19 0.000 0.012

Storage facility -0.806 0.620 -1.30 0.195 -0.055

Skill Training 9.460*** 2.142 4.42 0.000 0.649

Market Information 5.632*** 2.007 2.81 0.005 0.387

Extension Services 0.352 0.420 -0.84 0.403 -0.024

F.B.O Membership 1.137*** 0.433 2.63 0.009 0.078

Access to Loan 1.207** 0.542 2.23 0.026 0.083

Farm Size 0.089 0.100 0.76 0.448 0.005

Cost of Input -0.001** 0.001 -2.18 0.030 -0.001

Constant -19.470 3.965 -4.91 0.000

Dependent variable = Participation (Dummy = 1 if a participant); Number of observation= 400; Pseudo R2 = 0.6652; Log Likelihood = -87.1145; LR Chi2 (16) = 346.16; Prob > Chi2 = 0.0000; S.E = Standard Error (0.05); ME = Marginal Effects

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Appendix 11: Research Questionnaire

Target group: Maize farmers in the Northern region of Ghana

Questionnaire No…………………

My Name is Nana Kofi Safo, a Ph.D Agricultural Administration Student at the

University of Ghana. I am conducting a research on the “impact of warehouse receipt

system (WRS) on access to markets and income of smallholder maize farmers in the

Northern region of Ghana”.

Warehouse receipt system (WRS) is a system where farmers, exporters, or traders put

their grains in a registered warehouse to obtain an electronic receipt. However,

smallholder farmers normally have to combine their produce, through a community

warehouse system, in order to meet the quantity required to obtain the receipt from

electronic WRS. The objective of the research is to determine the extent to which Ghana

Grains Council’s (GGC) WRS has influenced smallholder farmers’ income and their

access to financial services and output market. The adequacy of institutional support to

the system will also be assessed in order have a successful programme that benefits

farmers.

Please, I need your support with respect to accurate information on your farming

activities as well as your participation or non-participation in the warehouse receipt

system (WRS). Findings of the study will be used for academic purpose only. Any

information given will therefore be treated confidential. Please indicate your response by

filling – in the space provided or ticking the appropriate box provided against the

answers. Please indicate your consent by giving details of your name and contact. Thank

you.

Name of respondent ………………………….………………………… Contact………………………….….Name of Enumerator……………………………………………………………………………………………Date of interview………………………………………… Start time………………………………………….

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Name of District …………………………………… Name of Community…………..……………………...

Section A: General Demographic Characteristics

1. Please provide information on your demographic characteristics in the table below

Gender of Age of Marital Highest Religion Household Ethnic

Respondent Respondent Status Educational Size group of

Level respondent

attained

1. Male [ ] 1 [21 - 25] 1.Single [ ] Before WRS 1. Muslim Before

WRS

2. Female [ 2 [26 - 30] 2.Married [ 2 Christian

] ]

3 [31 - 35] 3 Traditional

4 [36 - 40] After WRS 4 Other.. After

WRS

5 [41 - 45] 5. None

6 [46 - 50]

7 [51 - 55]

8 [56 - 60]

9 [Above 60]

Section B: Farmers’ Awareness of Warehouse Receipt System (WRS)

For each of the following activities or functions of WRS, specify your correct status of

knowledge, and experience, using the codes listed beneath the table.

Activities / Function of WRS Knowledge Experience

2. Provides receipts which can be used as collateral againstcommodity in stock

3. Enable farmers to obtain loans from financial institutions

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4. Enhances track records of farmers for loan consideration by banks5. Provides insurance to mitigate future catastrophes of commodities in stock6. Provides storage facility to farmers

7. Reduces post-harvest losses

8. Enable farmers obtain market information on quality and prices

9. Introduces farmers to formal markets, or institutional buyers

10. Enable farmers obtain higher prices from later sales

11. Eliminates cheating of farmers on quality, weight and measures

12. Maize are bought at warehouse without transporting them to market13. There is quantity and quality limits to participate in electronic WRS

14.

15.KNOWLEDGE EXPERIENCE

1. Very well 1. Never2. Fairly well 2. Once3. No 3. Twice

4. Several

16. If you are aware of the WRS, through what means did you hear about it for the first time?1. On Television[ ]

2.On Radio [ ]3.Newspaper [ ]

4. Through F.B.O[ ]5. Warehouse operators [ ]6. Through extension agent [ ]7. Other ………………………………………….

17. Do you participate in WRS? 1. Yes [ ] 0. No [ ] (If no, skip to 27)If yes, please provide the information on the table below:

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Number of Name of Location of Distance to Means of transport toyears of warehouse you the warehouse warehouse warehouseparticipation operate (km)

1. Own Transport [ ]2 F.B.O. []3. Hired []Other…

18. Main reason(s) for participating in the WRS: ( I. access to storage facility; II. access to markeIII. access to finance; IV. High price from later sale

1. I only [ ] 2. II only [ ] 3. III only [ ] 4. IV only [ ] 5. I and II6. I and III [ ] 7. I and IV [ ] 8. II and III [ ] 9. II and IV [ ] 10. III and

11. I, II, III [ ] 12. I, II, IV [ ] 13. I, III, IV [ ] 14. II, III, IV [ ] 15. ALL [16. Other reason (please specify) ……………………………….…………………..19. Please provide the following information with respect to storage of last season’s produce in the W

Quantities of How long did you Cost of storage Price gainedProportion of maize Cost of transmaize stored store the maize from storage lost from pest to warehouse

20. Was the maize graded before storage? Yes [ ] No [ ]21. If yes, what was the grade of your maize? ………………………………………………

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22. Did you experience post-harvest losses at the warehouse last season? Yes [ ] No [ ]

23. If yes, who paid for the losses?

1. Warehouse operator[ ]2. Insurance company[ ]

3. Myself [ ]

4. Other ………………………………….

24. Did you withdraw some of your maize from the warehouse for household consumption last

season? Yes [ ] No [ ]

25. If yes, what was the reason? 1. Shortage of food [ ]2. Shortage of money [ ]3. It was not bought[ ]

4. Other ………………………………………………

26. Have you ever attended any workshop on WRS after you decided to participate? Yes [No [ ]

If yes,Date of workshop Purpose of Organisers of last Number of times Was the worksho

workshop workshop of participating useful to you?attended

If you do not participate in WRS:

27. What is your reason(s) for not participating?

……………………………………………….……..

28.Are you willing to participate now? Yes [ ] No [] (If no, skip to

11)

29.If yes, what is the main reason(s) why you want to participate? ( I. access tostorage facility;

II. access to market; III. access to finance;High price from later sales )

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1. I only [ ] 2. II only [ ] 3. III only [ ] 4. IV only [

] 5. I and II [ ]

6. I and III [ ] 7. I and IV [ ] 8. II and III [ ] 9. II and IV [

] 10. III and IV [ ]

11. I, II, III [ ] 12. I, II, IV [ ] 13. I, III, IV [ ] 14. II, III, IV [ ]

15. ALL [ ]

16. Other reason (please specify) ……………………………….…………………..

Section C: Perception of Farmers about Benefits and Constraints of WRS

30. What is your perception about the following benefits of the WRS to you? ( Please tick one per row)

Benefits Strongly Agree Not Disagree Strongly

Agree Sure Disagree

Enhancing Market Access:

- Ability to sell high proportionof produce

- Ability to sell to orgainsations

- Ability to obtain high price foryour produce

Facilitate Trade:

- Maize is bought anytime youare ready to sell

- Maize is bought at thewarehouse withouttransporting is to the market

- Enables buyers and sellers gainaccess to market information

- Guarantees delivery ofcommodities to buyers

Enhancing Access to Finance

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- Ability to obtain loan from financial institutions- Ability to obtain large amount of loan- Interest paid on loan is moderate

Improves farm income

- Reduces transport cost to market

- Curtailing cheating on weight and quality

- Reduction of post – harvest losses

Provision of Storage Facility

Mitigating Price Risk

- Makes farmers aware of the prevailing market price in which they are to sell their produce.

Provision of insurance againstpotential lossReduces seasonal price variability

Increases market power of farmers

Links farmers to extension

services

Links farmers to input dealers

31. What is your perception about the following constraints of the WRS to you? ( Tick one per row)

and rank the problems from 1 to 12 according to which one is highest to you (1 is highest & 12 lowest)

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Constraints Strongly Agree Not Disagree StronglyAgree Sure Disagree

High storage cost:

- High cost of transporting produce to warehouse

- Payment for storage is high

Limits imposed by warehouse operators

- Quality limit too high to meet

- Quantity limit too high to meet

Non effective regulatory oversight

- No insurance package for your stored maize

- Lack of training on how to treat your maize

- Non transferable warehouse receipt

Lack of suitable storage infrastructure

- Long distance to warehouse

- Warehouses are not in good condition

- Few warehouses to choose from

- Few financial institutions to borrow from

- WRS is used by rich farmers and traders

Section D: Effect of WRS on Market Access of Smallholder farmers

Information on production

32. Number of years of farming in general

………...……………………………..….…

33. Number of years in maize farming only

……………………………………………

34. What is the distance to market

………………………………………………………

35. Farming History

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Activity Before WRS After WRS

(Last season)

36. Month of harvesting maize

37. Did you have any maize to sell last

season?

38. If no, what is the reason? 1. Did not farm [ 1. Did not farm [] ]2. Obtained small 2. Obtained small

produce [ ] produce [ ]3. Other… 3. Other…

39. Where do you sell your maize 1. Warehouse [ 1. Warehouse [] ]2. Farm gate [ 2. Farm gate [] ]3. Local market [ 3. Local market [] ]4. Other… 4. Other…

40. Have you ever sold to institutional 1. Yes [ ] 1. Yes [ ]buyers such as WFP, Schools, Prisons 2. No [ ] 2. No [ ]or Hospitals? (If no, skip to 43)

1. Instant payment 1. Instant payment41. If yes, did you get instant payment or on [ ] [ ]

credit 2. On credit [ 2. On credit [] ]

42. If on credit, how long does it take to be… …

paid?1. Poor quality [ 1. Poor quality [

43. If no, what is the reason? ] ]2. Low quantity [ 2. Low quantity [] ]3. Transport cost 3. Transport cost[ ] [ ]4. No information 4. No information[ ] [ ]5. Other… 5. Other…1. Yes [ ] 1. Yes [ ]

44. Did you sell all the quantities you2. No [ ] 2. No [ ]

wished to sell last season?

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Activity Before WRS After WRS

(Last season)

45. If no, what was the reason? 1. Low price 1. Low price2. Poor demand 2. Poor demand3. Poor quality of 3. Poor quality of

maize maize4. Speculation of 4. Speculation of

future high price future high price5. Other … 5. Other …

46. Indicate the monthly period in which your ... …

maize was sold 1. For high price [ 1. For high price [

47. Why did you sell around that time?] ]

2. Needed money 2. Needed money [[ ] ]3. No buyers 3. No buyers[ ] ]4. No storage 4. No storage spacespace [ ] [ ]5. Other… 5. Other…

48. What month was the highest general priceof maize

49. Indicate the price of 50kg bag of maize atthe highest price

50. Type of human labour used on your farm 1. Family [ ] 1. Family [ ]2. Hired [ ] 2. Hired [ ]3. Both [ ] 3. Both [ ]

51. Please provide detail information about the labour used during last seasonFarm Activities Family Labour Hired Labour

Number Number Number of Number Wage / If given asof persons of days persons of days day (GH¢) contract, indicate

the amount paidM F M F

Bush Clearing

Tillage

Seeding

Fertilizer application

Agro-chemical

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application

Weeding

Harvesting

Threshing

Drying

Bagging

Please respond to the following questions by writing 1 if yes, and 0 if noActivity Before WRS After WRS

(Last season)52. Did you offer your labour(s) to work on other … …

farms last season? 1. No much 1. No much work53. If yes, what was the reason? work on my farm [

on my farm [ 2. We needed2. We needed money [ ]

money [ ] 3. Other…3. Other…

54. Did you have optimal harvest last season? … …55. IF no, what was the cause? 1. No rain [ ] 1. No rain [ ]

2. Soil not fertile 2. Soil not fertile[ ] [ ]3. Low yielding 3. Low yielding

seed [ ] seed [ ]4. Too much 4. Too muchsun[ ] sun[ ]5. Other… 5. Other…

56. Do you use irrigation facility on your farm? (If … …no, skip to 58) … …

57. If yes, what was the cost of irrigation for theentire season?

58. Did you experience maize price variability last … …season (If no, skip to 61 1. Price 1. Price

59. If yes, what was the situation of the variability persistently persistentlythroughout the season after harvest? increased [ ] increased [ ]

2. Price fell at 2. Price fell atsome points [ ] some points [ ]

60. If price fell at some points in the season, whatwas the cause? 1.Maize import [ 1.Maize import [

] ]2.Release from 2.Release fromother other warehouse[warehouse[ ] ]3. Other… 3. Other…

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61. Do you have mobile phone through which youcan be contacted?

62. Do you have already established buyers for your … …produce? 1. Private 1. Private

63. If yes, what category of established buyers do organization[ ] organization[ ]you have? 2. Public 2. Public

institutions [ ] institutions [ ]3. Exporters [ ] 3. Exporters [ ]4. Processors [ 4. Processors [ ]] 5.Whole sellers[5.Whole sellers[ 6. Retailers [ ]6. Retailers [ ] 7. The state [ ]7. The state [ ] 8. Consumers [8. Consumers [ ]

Please respond to the following questions by writing 1 if yes, and 0 if noActivity Before WRS After WRS

(Last season)64. Do you have personal storage facility for your

maize (If no, skip to 66) … …65. If yes, how many bags of maize can your

facility store?66. Did you suffer from post harvest losses? (If no, … …

skip to 68) … …67. If yes, how many bags of maize did you lose

last season?68. Have you acquired any skill training in farming … …

(If no, skip to 70) 1. Other farmers 1. Other farmers69. If yes, where did you acquire the knowledge [ ] [ ]

2. F.B.O. [ ] 2. F.B.O. [ ]3. Extension 3. Extensionagents [ ] agents [ ]4. Other… 4. Other…

70. Do you get market information on quality or … …price changes?(If no, skip to 73) 1. Other farmers 1. Other farmers

71. If yes, how do you get the information? [ ] [ ]2. F.B.O. [ ] 2. F.B.O. [ ]3. Television [ ] 3. Television [ ]4. Radio [ ] 4. Radio [ ]5.Newspapers [ 5. Newspapers[

72. When was the last time such information was ] ]obtained 6. Other…… 6. Other……

73. Do you have road network from farm to market … …

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or home?(If no, skip to 77) … …

74. If yes, is the road in good shape?75. Do you have access to transport services from … …

farm to market or home? … …76. If yes, indicate cost of transporting maize from

farm to market or home

Activity Before WRS After WRS(Last season)

77. Have you ever been visited by extension … …officer(If no, skip to 84) … …

78. If yes, how many times in a year? … …79. Indicate the last time such visit was 1. Storage of produce[ ] 1. Storage of produce[ ]

obtained? 2. Credit access [ ] 2. Credit access [ ]80. What do they discuss with you at the 3. Market access [ ] 3. Market access [ ]

visit? 4.Agronomic practices[] 4.Agronomic practices[ ]5. Fertilizer & 5. Fertilizer &Chemicals [ ] Chemicals[ ]6. New technology [ ] 6. New technology [ ]7. Other… 7. Other…l. Beneficial [ ] l. Beneficial [ ]

81. What is your perception about the 2. Not beneficial [ ] 2. Not beneficial [ ]meeting? l. Free of charge [ ] l. Free of charge [ ]

2. Paid [ ] 2. Paid [ ]82. Was the visit free of charge or paid … …

83. If paid, indicate the amount paid (GH¢)

84. Do you belong to any Farmer Based … …Organisation?(If no, skip to 89) … …

85. If yes, how many times do you meet in a … …year? 1. Storage access [ ] 1. Storage access [ ]

86. When was the last time such meeting was 2. Credit access [ ] 2. Credit access [ ]held? 3. Market access [ ] 3. Market access [ ]

87. What issues do you discuss during 4.Agronomy [ ] 4.Agronomy [ ]meetings? 5. Fertilizer [ ] 5. Fertilizer [ ]

6. Other… 6. Other…l. Dues is too costly [ ] l. Dues is too costly[ ]

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2. Strict membership 2. Strict membershipConditions [ ] Conditions [ ]

88. What is your perception about the 3. Beneficial [ ] 3. Beneficial [ ]association? 4. Non beneficial [ ] 4. Non beneficial [ ]

5. Other… 5. Other…

l. Dues is too costly [ ] l. Dues is too costly [ ]2. Strict membership 2. Strict membership

Conditions [ ] Conditions [ ]89. If no, what is the reason? 3. Non Beneficial [ ] 3. Beneficial [ ]

4. Other……….. 4. Other……….

Section E: Access to Financial Services

Please respond to the following questions by writing 1 if yes, and 0 if noActivity Before WRS After WRS

(Last season)90. Are you aware of any financial institution that

lends to farmers?91. Do you have account with any financial institution? … …

(If no, go to 96) 1. Formal Bank[ ] 1. Formal Bank [ ]92. If yes, what type of financial institution do you 2. Credit unio [ ] 2. Credit union[ ]

have the account? 3. Rural Bank [ ] 3. Rural Bank [ ]4. Microfinance[ ] 4. Microfinance[ ]

… …93. Are you able to save money with that financial … …

institution? … …94. Do you have a branch of that institution at your

community?95. What is the distance (km) from your home to that

institution?96. Do you have any asset that can be used as … …

collateral for loan? … …97. If yes, what type of asset do you have?98. Have you ever requested for loan from any … …

financial institution?(If no, skip to 110) … …

99. If yes, indicate the amount of loan applied for 1. Formal Bank [ ] 1. Formal Bank [ ](GH¢) 2. Credit union [ ] 2. Credit union [

100. From what type of financial institution? 3. Rural Bank [ ] 3. Rural Bank [4. Microfinance [ ] 4. Microfinance [… …

101. Were you successful in obtaining the loan? (If … …no, skip to 111) … …

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102. If yes, what was the amount received (GH¢)? … …103. How many times have you received such loan? 1. Guarantee [ ] 1. Guarantee104. When was the last time such loan was received? 2. Other … 2. WR / GRN105. What collateral or its substitute did you use to 3. Other …

acquire the loan?1. Farm inputs [ ] 1. Farm inputs2. Consumption [ ] 2. Consumption [3. School fees [ ] 3. School fees

106. What did you use the loan for? 4. Other … 4. Other …… …… …

107. Were you satisfied with the services of the … …financial institution?

108. Indicate the number of months used to repay theloan

109. Indicate in %age per annum, the interest paid onthe loan

110. If you have not requested for loan before, what is your reason?1. I do not need it[ ]2. High interest rate [ ]3. Cultural reason [ ]4. Religious reason [ ]5. Lack of collateral [ ]6. Repayment schedule not favourable [ ]

7.Other …………………………………………..

Please respond to the following questions by writing 1 if yes, and 0 if noActivity Before WRS After WRS

(Last season)111. Has someone taken a loan and shared with you … …

before?(If no, skip to 114) … …

112. If yes, what was the amount received? … …113. What was the interest charged on the loan?114. Have you ever received money transfer (Remittance) … …

from abroad for your maize farming before? (If no, skipto 117) … …

115. If yes, when was the last time you received 1. Formal Bank [ ] 1.Formal Bank[remittance? 2. Credit union[ ] 2. Credit unio [

116. Through what type of financial institution did you 3. Rural Bank [ ] 3. Rural Bank [receive the remittance? 4. Microfinance[ ] 4. Microfinance[ ]

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Section F: Effect of WRS on Farmers’ Income

Information on Land

Activity Last Season Before After WRS (LastWRS Season)

117. Indicate the total area of yourfarmland

118. Indicate the size of land formaize

cultivation119. Do you rent your farm land? (If Yes [ ] No [ ] Yes [ ] No [ ]

no, go to 122) … …120. If yes, what is the cost of the … …

land (GH¢)?121. What is the duration of your

rent?122. Information on farm tools and equipment

Tools & Last season before WRS After WRS (Last Season)

Equipment

Number Unit Total Number Unit Total

owned Cost Cost owned Cost Cost

Cutlass

Hoe

Sickle

Spraying

machine

Animal drought

Axe

Other…

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123. Other costs of production

Activity Last Season Before After WRS (Last

WRS Season)

Seed

Fertilizer

Agro chemicals

Cost of hired equipment

Other …

Activity Last Season Before Last Season AfterWRS

WRS

124. Total cost of input used on farm

125. Have you enjoyed any subsidy before? ... …

126. If yes, indicate the amount of subsidy ... …

enjoyed (GH₵)

127. Total cost of labour in man days

128. Total bags of maize harvested (Kg)

129. Cost of packaging

130. Transportation cost

131. Storage cost

132. Interest paid on loan (if any)

133. Total bags of maize sold (Kg)

134. Price of 50kg bag of maize (GH₵)

135. Maize consumed by the family (Kg)

136. Maize reserved as seed for cultivation

137. Maize given out as gift (if any)

138. Did you pay tax on your produce sold? ... …

139. If yes, indicate the amount paid (GH₵) … …

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Institutional Analysis of WRS

Questionnaire to the Heads of Community Warehouses or Farmer Based Organisations

1. Have you received any assistance or had any form of business relations with the following institutions?

INSTITUTION / ORGANIZATION Yes Form of Paid or Last time

or Business or free received

No Assistance

Ministries of Food and Agriculture

Extension Officers

District Assembly

Ministry of Local Government and Rural

Development

Ministry of Trade and Industry

Ghana Grains Council

Financial Institutions

Ghana Standards Authority

Purchase For Progress (P4P) Marketing

Institution

World Food Programme (WFP) in Ghana

National Food Buffer Stock Company

(NAFCO)

Savanna Marketing Company (SMFC)

Premium Foods

Tamale Teacher Training College

Other …

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2. Do you need any policy that will help improve your farming activity?1. Yes [ ]

3. If yes, which aspect of farming activity do you require the policy to improve

…………………….………….

4. Has MOFA supported in any way to develop your FBO? 1. Yes0. No5. If yes, what kind of support did you receive?

………………………………………………………………….

6. How does the community WRS operates?7. How many members do you have in your organization

………………………………………………

Interview Guide Questionnaire to Warehouse Operators

1. What are the treatment procedures that maize goes through before they are stored

in the warehouse?

2. What is the moisture level of maize stored in the warehouse?

3. Do you have established standards of maize in place?

4. If yes, what are the types of grading or standards of maize that guide your

operation?

5. How does the WRS operate in Ghana, in terms of financial accessibility and sale

of goods in stock?

6. Who are the actors involved in the WRS?

7. Do you have insurance package for your warehouse?

8. If yes, what is the maximum or minimum amount given to your customers by the

insurance company in case of catastrophe?

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9. Have you ever faced any catastrophe before?

10. If yes, what was it?

11. What type of WR do you use (Manual or Electronic)?

12. What are the minimum tonnes or number of 50kg bags of maize required to obtain

WR?

13. What are the current charges of storage of maize in the warehouses?

14. How many community warehouses do have in the Northern region?

15. What are the marketing institutions who normally buy maize form the system?

16. What is the shelf life of stored maize or the expiring date of WR of maize?

17. Have you received any form of assistance from MOFA before? Yes [ ] No [ ]

18. If yes, what form of assistance did you receive?……………………………………………

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INVESTMENT ANALYSIS OF CERTIFIED WRS

Table 1: Capital CostItem Quantity Unit Cost Total Cost

Warehouse

Office Space

Computers

Weighing scale

Vehicles

Other…

Table 2: Monthly Operating Cost for the year 2015Item Quantity Unit Cost Total CostLabourDriverSecurityWarehouse operatorFuelChemicalsTransportationMaintenanceFuelPublicityPackagingElectricityCommunicationOther …

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Table 3: Total Revenue From storage for the year 2015Month Total Revenue

January

February

March

April

May

June

Jyly

August

September

October

November

December

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Interview Guide Questionnaire to Financial institutions

1. Do you have loan package for smallholder farmers

2. If yes, what are the criteria used to issue loans to smallholder farmers?

3. What is the interest rate charged on loans to smallholder farmers?

4. Do you have any collateral arrangement for smallholder farmers?

5. If yes, what form of collateral is acceptable to issue loans to smallholder farmers?

6. Do you know about the operations of warehouse receipt system in Ghana?

7. How did you know them?

8. Has a farmer ever requested for loan using warehouse receipt or Goods received

note as collateral?

9. If yes, has a farmer ever been successful in obtaining a loan using the WR?

10. If yes, what is the %age value of goods in stock that are given to farmers as loans?

11. What is the duration of repayment of such loans given to farmers?

12. Have you ever encountered any problem with farmers who took loans from your

bank using WR?

13. If yes, what was the problem?

14. Do you have mechanism in place that monitors prices of commodities in stock

that are used as collateral for loans?

15. How do you determine that commodities used as collateral for loans exist in the

warehouses?

16. What is the risk mitigation strategies used to minimize losses when loans are

issued to farmers who participate in the WRS?

17. Are you willing to accept “Goods Received Note” (GRN) with special security

features as collateral to give loans to smallholder farmers?

18. If no, why

19. What do you need to be put in place to make GRN or WR acceptable for loan

consideration?

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Interview Guide Questionnaire to MOFA

1. Do you normally provide extension services to smallholder maize farmers in the

Northern region?

2. If yes, when was the last time such service was given to the farmers?

3. What form of intervention have you made recently to help increase productivity

of smallholder maize farmers in the Northern region?

4. Do you help develop the F.B.Os in the Northern region?

5. If yes, what have you done recently to help develop the F.B.Os in the Northern

region?

6. Do you know about the operations of warehouse receipt system in Ghana?

7. How do you know them?

8. Have you ever provided any assistance to help develop the WRS in Ghana, with

respect to:

a. Linking smallholder maize producers who participate in the system at the

community warehouses to public and private institutions who buy maize in large quantities?

b. Helping the smallholder farmers who participate in the system gain access to

finance from formal or semi-formal financial institutions?

c. Building public grain warehouse facilities to be used for the WRS to attract

more smallholder farmers.

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Interview Guide Questionnaire to the District Assemblies

1. Do you know about the operations of warehouse receipt system in your district?

2. How did you know them?

3. Have you ever provided any assistance to help develop the WRS in Ghana, with

respect to:

a. Linking smallholder maize producers who participate in the system to public

and private institutions who buy in large quantities?

b. Helping the smallholder farmers who participate in the system gain access to

finance from FFIs?

c. Building public grain warehouse facilities to be used for the WRS to attract

more smallholder farmers?

4. Have you developed road networks in the communities to link farms to markets or

warehouses?

5. If yes, what is the condition of those roads?

6. If no, do you have plans of constructing roads to link farmers from their farms to

the market or warehouses?

7. Do you have well established markets in the farming communities?

8. What is the state of other infrastructural development such as electricity and

telecommunication in the farming communities?

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Interview Guide Questionnaire to the Ghana Standards Authority

1. Have you developed standards or grading system of maize in Ghana?

2. If yes, what are the categories of standards or grades of maize?

3. Do you know about the operations of warehouse receipt system in Ghana?

4. If yes, do you have any collaboration with the GGC to develop the WRS in

Ghana?

5. What have you done to ensure successful operation of the WRS in Ghana?

6. Are you able to extend regulatory oversight to ensure that smallholder farmers

who are participants of the community warehouse system also follow the established standards

of maize in their marketing?

Interview Guide Questionnaire to the GGC

1. What are the promotional activities that were used to create awareness of the

WRS in Ghana?

2. What is the status of outreach activities of the programme?

3. Has the participation of smallholder maize producers in the system been

encouraging?

4. What is the minimum tonnes (or number of 50kg bags) of maize required to gain

WR?

5. Are you able to effectively extend regulatory oversight to the community

warehousing system?

6. If yes, what have you done recently to ensure successful operation of the

community warehouses?

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7. Have you been able to integrate specific public or private institutions into the

WRS who buy maize in large quantities, especially from the community warehouses?

8. If yes, what are the names of those market institutions?

9. Have you helped develop standards as well as weight and measures of grains for

the community warehouse receipt system?

10. If no, do you have any intention of developing it?

11. Are you able to help disseminate market price information to the smallholder

farmers?

12. If yes, how do you do it?

13. If no, why not?

14. Which financial institutions are involved in the WRS in Ghana?

15. Is the WRS able to empower smallholder farmers to access financial services?

16. If not, what are you doing to empower them to obtain financial services through

WRS?

17. What role is played by the farm input dealers who are members of the WRS?

18. Why is the warehouse receipt not transferable in Ghana?

19. What is needed to make the warehouse receipt transferable, and what are you

doing to achieve that?

20. Do you have any other interventions that are made to help increase the

productivity of smallholder maize producers who are participants of the WRS?

21. What are the legislations needed in Ghana to make the operation of WRS

successful.

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22. Which of those legislations are already in place?

Interview Guide Questionnaire to Ministry of Trade and Industry

1. Do you know about the operations of warehouse receipt system in Ghana?

2. How did you know them?

3. Have you ever provided any assistance to help develop the WRS in Ghana, with

respect to linking smallholder maize producers who participate in the system to public and

private institutions who buy in large quantities?

4. Are you able to provide information on prices of commodities to all market

participants?

5. If yes, through what medium do you provide the market information?

6. Do you have any intervention to control excessive food price variability in the

Northern region of Ghana?

7. If yes, what are some of the interventions made?

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