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Evaluation of the Impact of Oil Subsidy Removal on Manufacturing Firms in South East, Nigeria CHAPTER ONE INTRODUCTION 1.1 Background of the Study Oil subsidy policy (also referred to as fossil-fuel subsidy policy) is one of the many policy instruments used by governments to attain economic, social and environmental objectives in various countries of the world. The Organization for Economic Co- operation and Development (OECD, 2005: 58) defines subsidy as “a government action that confers an advantage on consumers or producers, in order to supplement their income or lower their costs.” This definition suggests that subsidy can be given either on consumption or on production. Energy subsidies come in two main forms: those designed to reduce the cost of consuming fossil fuels; and those aimed at supporting domestic fossil-fuel production (Burniaux, Chanteau, Dellink, Duval, and Jamet, 2009: 83).
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Page 1: Evaluation of the impact of oil subsidy removal on manufacturing firms in south east

Evaluation of the Impact of Oil Subsidy Removal on Manufacturing Firms in South East,

Nigeria

CHAPTER ONE

INTRODUCTION

1.1 Background of the Study

Oil subsidy policy (also referred to as fossil-fuel subsidy policy) is one of the many policy

instruments used by governments to attain economic, social and environmental objectives in

various countries of the world. The Organization for Economic Co-operation and Development

(OECD, 2005: 58) defines subsidy as “a government action that confers an advantage on

consumers or producers, in order to supplement their income or lower their costs.” This

definition suggests that subsidy can be given either on consumption or on production. Energy

subsidies come in two main forms: those designed to reduce the cost of consuming fossil fuels;

and those aimed at supporting domestic fossil-fuel production (Burniaux, Chanteau, Dellink,

Duval, and Jamet, 2009: 83).

The World over, subsidies exist in several economic sectors, including agriculture, fisheries and

energy, petroleum etc. Governments can subsidize consumption and production by transferring

funds to recipients directly, by assuming part of their risk, by selectively reducing or increasing

the taxes they would otherwise have to pay, and by imposing mandates and barriers to trade.

Some producer subsidies can have the effect of lowering fossil-fuel prices, thereby serving

indirectly as consumer subsidies at the same time (Morgan, 2007).

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Energy subsidies, in particular, are often used to alleviate energy poverty, serve as producer

subsidy and promote economic development by enabling access to affordable modern energy

services. Oil subsidies aimed at consumers are generally intended to keep petroleum product

prices low, in order to stimulate certain sectors of the economy or alleviate poverty, by

expanding the population’s access to energy (Saunders and Schneider, 2000; Morgan, 2007).

These types of subsidies are more common in non- OECD, former eastern bloc countries and

developing countries of which Nigeria is one. These subsidies usually take the form of price

controls (IEA, 2007) and can involve large price gaps. For example, in Iran, petroleum product

prices were kept at 10 per cent of world market prices in 2002 (Jensen and Tarr, 2002) and in

Nigeria, the current price gap according to the Nigeria petroleum product pricing company

(PPMC) for premium motor spirit (PMS) is N43/liter (N140 – N97). However, for automotive

gas oil, the subsidy had been removed and there is no price gap at the moment. Given the critical

role that energy plays in economic and social development, the reform of inefficient energy

subsidies should be analyzed in a context including their links to the three pillars of sustainable

development: economic growth, poverty reduction and environmental dimensions (IEA, 2007;

Berg, Burger, & Thiele, 2008).

When the Leaders of the group of twenty countries (G-20) met from 24th-25th September 2009

in Pittsburgh, USA, they agreed that,

“building on the efforts of many countries to reduce fossil fuel subsidies while

preventing adverse impact on the poorest, they were committed to rationalize and

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phase out over the medium term, inefficient fossil fuel subsidies that encourage

wasteful consumption” (IEA Report, 2010: 56).

Recognizing the importance of providing those in need with essential energy services, including

through the use of targeted cash transfers and other appropriate mechanisms, they called on

individual countries to phase out such subsidies worldwide and for Energy and Finance Ministers

of the G-20 countries to develop their country implementation strategies and timeframes and

report back to the next G-20 Summit (IEA Report, 2010).

In an attempt to comply with the aforementioned global directive and fully deregulate the

downstream sector of the Nigeria economy and due to the increasing demand on the government

finances by other socio-economic factors, the federal government of Nigeria on 1st January 2012,

greeted the nation with the announcement, by the President, of the immediate removal of oil

subsidy on the Premium Motor Spirit (PMS) popularly called petrol, thereby fully deregulating

the petroleum sector of the economy. This announcement generated public rejection and massive

protests across Nigeria by labour unions and other civil society groups in Nigeria. The protests

were anchored on the premise that cost of living including cost of manufacturing, cost of

products, and cost of food items and of transportation, etc will record astronomical increase and

further impoverish the poor Nigerians. Prior to the announcement, the removal of subsidy on

PMS and the policy of full deregulation of the downstream sector had remained a topical issue in

public discourse as the government tried to make Nigerian see reasons to accept the policy. The

government including the Nigeria Chambers of Commerce, Industry, Mines and Agriculture

(NACCIMA) insisted that full implementation of the subsidy policy will bring enormous benefits

to the economy of Nigeria (Osagie, 2012). The Government also insisted that subsidy removal

will eliminate fuel smuggling across Nigeria’s boarders thereby eliminating scarcity in Nigeria.

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These benefits notwithstanding, the federal government seems to be aware of the hardship that

will accompany the subsidy removal policy and as such promised some palliative measures to

cushion the hardship (Ekine and Okidim, 2013). Despite all these efforts by government, the

announcement still did not go down well with Nigerian because the actions that followed that

announcement indicated that the populace neither believed the explanations offered government

nor did they accept those palliative measures as enough cushion for the hardship that will

accompany the policy.

In 2006, the Olusegun Obasanjo led Administration had earlier removed oil subsidy on

Automotive Gas Oil (AGO) popularly called gas or diesel. This policy did not receive the kind of

public outcry like that of the current administration. The reason being that subsidy removal on

PMS affects directly the greater majority of the populace but subsidy removal on AGO affects

most people indirectly.

The manufacturing firms as well as organizations that make heavy use of electricity are the few

that have direct impact of the subsidy removal on Automotive Gas Oil (AGO) because they run

their generators on AGO. The Price of AGO since then had soared so high that the low and

middle income class individuals find it extremely difficult to buy the product. Even with the

obvious negative consequences, the government officials and some economic analysts maintain

that full deregulation remains the best policy for the country.

It is against this background that this study seeks to evaluate the impact the oil subsidy removal

has had on manufacturing firms in the South East of Nigeria. The study will be of great

importance to both the country and the region because the South East region is heavily endowed

with many companies and manufacturing firms which depend heavily on Automotive Gas Oil

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(AGO) for their operations. These firms depend heavily on power generating sets for the supply

of electricity power. They also make use of their heavy duty equipments, vehicles and machines,

and all of these are powered by Automotive Gas Oil (AGO). They also depend on the premium

motor spirit (PMS) to power their vehicles. The use of all these vehicles and machines suggests

that the firms had at one time enjoyed oil subsidy; of which the removal of the subsidy now may

likely affect the firms in one way or the other.

The South East region of Nigeria is also the home to one of the major tribes in Nigeria which has

a population of about forty million people and consequently, any impact of the oil subsidy

removal on the manufacturing firms in this region will have some significant consequences on

the nation as a whole and on the region in particular. The study will also add to the body of

knowledge as there are not many literature that have evaluated the effect of oil subsidy removal

on manufacturing firms in Nigeria especially the ones located in the South East region of

Nigeria.

1.2 Statement of the Problem

The low capacity utilization of Nigeria’s state –owned refineries and petrochemical plants in

Kaduna, Port Harcourt and Warri, coupled with the sorry state of disrepair, the neglect, and

repeated vandalization of the state- run petroleum product pipelines and oil movement

infrastructure nationwide, the collateral damage of public service system and institutionalized

corruption, with the frightening emergence of a local ‘noveau riche’ oil mafia that controls, and

coordinates crude oil business in Nigeria; the refined petroleum- products pipeline sabotage, and

the theft (illegal bunkering) of petroleum products, the insatiable corrupt military task force

operatives that assist diversions of both crude oil and petroleum products, and large – scale cross

border smuggling of petroleum products, all of which are the root causes of the protracted, and

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seeming too intractable severe fuel crises that have bedeviled the country relentlessly, for

close to a decade now, are all predictable outcomes of government involvement in the

downstream sector of the Nigerian petroleum industry, over the past quarter of a century. All

these evils prompted governments’ decision to remove subsidy on the petroleum products in

Nigeria.

As expected, public opinion about deregulation in Nigeria covers a wide spectrum and cuts

across all sides of the argument. Some Nigerians hold the view that deregulation cannot be

complete, whether in the downstream sector of the Nigerian petroleum industry, or indeed, in

any other sector of the national economy. However, deregulation is seen as desirable in freeing

government of its concurrent control, and involvement in the business of refining, importation,

and distribution of refined petroleum products in the Nigerian market. Another school of thought

strongly believes that the Nigerian petroleum industry must not be liberalized, or deregulated, or

privatized completely, for whatever reason, and that the status quo should remain.

However, some others insist that complete deregulation, including the total, and final

dismantling, unbundling, and subsequent wholesale privatization of all state-owned petroleum

businesses should proceed without further delay, with maximum dispatch, for the continued and

meaningful survival of the Nigerian petroleum industry in the 21st century. In short, for such

Nigerians, the benchmarks of globalization, not nationalization, dictate the tempo of the new

world order in international petroleum market transactions.

Historically, major petroleum marketing companies were the main sources of petroleum products

supply. The companies transport and distribute the products relying on their distribution and

retail outlets. These were in the era of regulation in which Nigeria pays the marketers and

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determine prices for the products. However, this arrangement was not sustainable given that it

was dependent on the profit and market imperatives of the oil marketers and was the root causes

of the evils aforementioned. The country’s economic activities expanded such that private

companies could no longer cope with increased demand for petroleum products. This resulted in

erratic supply of petroleum products and ultimately acute scarcity of the products. The shortage

was endemic and created social and economic dislocation in the country. This market failure

made government to venture into petroleum product marketing and distribution through the

Nigeria National Petroleum Corporation (NNPC).

The concern of government to overcome this lack of policy and total dependence on oil

companies led to policy shift towards regulations. Government therefore, introduced uniform

pricing to satisfy domestic demand, strengthen self reliance and avoid a situation in which the oil

companies could hold the country to ransom. The nation witnessed adequate supply of the

products up till 1998. Thereafter due to the sustained devaluation of the naira on account of the

implementation of the SAP coupled with the non –maintenance of existing refineries domestic

production was soon neglected, making it imperative for local demand to be met through

imports. The shortages of petroleum products escalated in spite of increases in price of the

products since 1990.

The Obasanjo led administration on coming in 1999 decided to gradually withdraw the subsidy

on petroleum products to allow the mechanics of market forces to take their full course. This

again resulted to frequency increases in petroleum products prices.

The removal of oil subsidy by the federal government of Nigeria, on petroleum products has had

some far reaching consequences especially on the manufacturing firms in the country in several

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ways. It is against this backdrop that this study seeks to investigate the impact of the government

deregulation policy of the petroleum sector on the performance of manufacturing firms in the

South East of Nigeria.

1.3 Objectives of the Study

Considering the various ways the fuel subsidy regime is perceived to have impacted people

economically, environmentally and even socially, this study therefore seeks to evaluate the

impact of oil subsidy removal on the performance of manufacturing firms in South East, Nigeria.

The study focuses on the economic impact of the oil subsidy removal and therefore has the

following specific objectives:

i. To determine whether the removal of oil subsidy on petroleum products has affected the

consumption of petroleum products among manufacturing firms in the South East Nigeria.

ii. To find out if the removal of oil subsidy on petroleum products in Nigeria has reduced

energy-intensive manufacturing and increased labour intensive production among

manufacturing firms in the South East Nigeria.

iii.To assess how the oil subsidy removal has affected the volume of production among the

manufacturing firms in South East Nigeria.

iv.To determine how the oil subsidy removal has affected the cost of production and profit of

the manufacturing firms in South East Nigeria.

v. To evaluate how the oil subsidy removal has affected efficient management of resources

among manufacturing firms in South East Nigeria.

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vi.To determine whether the manufacturing firms in the South East of Nigeria have made

investments in alternative sources of energy following the removal oil subsidy on

petroleum products in Nigeria.

1.4 Research Questions

Drawing from the above stated problems as well as the objectives of this study, the following

research questions shall guide discussions in this work:

i. To what extent has the removal of oil subsidy on petroleum products affected the

consumption of petroleum products by manufacturing firms in South East Nigeria?

ii. How has the removal of oil subsidy on petroleum products led to the reduction in energy-

intensive manufacturing and increased labour intensive production among manufacturing

firms in South East Nigeria?

iii. How has the removal of oil subsidy on petroleum products affected the volume of

production among the manufacturing firms in South East Nigeria?

iv. To what extent has the removal of oil subsidy on petroleum products affected both the cost

of production and profit of the manufacturing firms in South East of Nigeria?

v. In what ways has the removal of oil subsidy on petroleum products led to more efficient

management of resources among the manufacturing firm in South East of Nigeria?

vi. To what extent has the removal of oil subsidy on petroleum products affected investments

in alternative sources of energy among the manufacturing firms in South East Nigeria?

1.5 Statement of Hypotheses

In order to achieve the objectives stated above and answer the research questions, and also in line

with relationships and variables in the research questions, the following hypotheses have been

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formulated for this research. They are deliberately stated only in their normal (H0) or negative

form and will serve as the fulcrum of the study:

H1: The removal of oil subsidy on petroleum products has not significantly affected the

consumption of petroleum products by manufacturing firms in South East Nigeria.

H2: The removal of oil subsidy on petroleum products has not significantly led to the reduction

in energy-intensive manufacturing and increased labour intensive production among

manufacturing firms in South East Nigeria.

H3: The removal of oil subsidy on petroleum products has not significantly affected the volume

of production among the manufacturing firms in South East Nigeria.

H4: The removal of oil subsidy on petroleum products has not significantly affected both cost of

production and profit of the manufacturing firms in South East of Nigeria.

H5: The removal of oil subsidy on petroleum products has not led to the efficient management of

resources among the manufacturing firm in South East of Nigeria.

H6: The removal of oil subsidy on petroleum products has not significantly affected investments

in alternative sources of energy by the manufacturing firms in South East Nigeria.

1.6 Significance of the Study

This research work which centers on the evaluation of the impact of the removal of oil subsidy

on petroleum products in Nigeria is strategically important because the oil subsidy removal and

the corruption in the Nigeria oil industry have remained topical issues in public discourse. The

study is significantly different from other studies in this area as this is the first attempt to

investigate how the removal of oil subsidy has affected manufacturing firms in South East

Nigeria. The study will therefore be of great importance to various interest groups: individuals,

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human resource managers, corporate bodies in the oil industry, the academia, investors in the oil

industry, financial and business analysts, the entire business world as well as the Federal

Government of Nigeria and her agencies.

The first individual to benefit from the outcome of this research is the researcher. Since this

research is a pre-requisite for the award of a Master of Science (M.Sc.) degree in Management,

of the University of Nigeria, upon successful completion of this research, the researcher would

have achieved a major mile stone towards obtaining the degree.

The staff and management of the manufacturing firms to be studied as well as those of other

manufacturing firms and all organizations that make heavy use of petroleum products will find

the report of this research rewarding as it will arm them well enough with information and other

data to be able to make informed decisions regarding their energy usage.

The human resource managers and consultants will find the report of this research useful as it

will provide information so dearly needed to take rightful decisions concerning their human

resources. The study will provide managers with tools for measuring the cost implication of the

labour-intensive production arising from the removal of oil subsidy on petroleum products.

Another group of individuals that will find this research very useful are those in the academia.

They include the students, scholars, academics, as well as professional researcher. They will

from time to time be faced with the challenge of conducting researches on this subject matter and

will find this research report a reference material.

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The corporate bodies as well as investors in petroleum business will find the report of this

research a veritable instrument for decision making. This is because the report will contain

information regarding investments in alternative sources of energy which might be cheaper for

the organizations to explore.

Finally, the Federal Government of Nigeria, the Federal Ministry Petroleum and other agencies

of government will also find this work a reference material for planning, controlling, directing

and for corporate decision making. It will also serve as a reference document for policy

formulation and implementation by the government and its agencies.

1.7 Scope of the Study

Although there are so many arguments for and against the removal of oil subsidy on the

petroleum products, these arguments have been captured and anchored, in this research on three

tripod stands: the economic impact, the environmental impact as well as on the social impact.

This study therefore focuses on the evaluation of the economic impact of the removal of oil

subsidy on the performance of manufacturing firms in South East Nigeria. As already stated

above, the South East region of Nigeria is the home to one of the major tribes in Nigeria which

has a population of over forty million people and consequently, any impact of the oil subsidy

removal on the manufacturing firms in this region will have significant consequences on the

nation as a whole and on the region in particular. The study will also add to the body of

knowledge as there is no literature that have evaluated the effect of the removal of oil subsidy on

manufacturing firms in Nigeria especially the ones located in the South East region of Nigeria.

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It covers the period from 2006, the year when subsidy was removed on Automotive Gas Oil

(AGO), to 2013. Data will be sourced from a number of manufacturing firms in the region who

are registered with Manufacturers Associations of Nigeria (MAN). This because of the

researcher’s belief that firms that with MAN will be able to provide the required data for

analyses.

The dearth of relevant literature on the topic of study especially on Nigeria is the major

constraint already encountered by the researcher. The removal of subsidy on oil products appears

to be a new one in Nigeria and consequently, not many research works have been done on it.

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References

Anderson, K. and McKibben, W.J. (1997). “Reducing Coal Subsidies and Trade Barriers: Their

Contribution to Greenhouse Gas Abatement.” Seminar Paper 97-07. Centre for

International Economic Studies, University of Adelaide: Adelaide, Australia

Berg, H., Burger, A., & Thiele, K. (2008), Environmentally Harmful Subsidies in Germany

Dessau, Dessau-Roßlau.

Birol, F., Aleagha, A.V. and Ferrouki, R. (1995). “The economic impact of subsidy phases out in

oil exporting developing countries: a case study of Algeria, Iran and Nigeria.” Energy

Policy. 23(3):209- 215.

Burniaux, J.-M., Chateau, J., Dellink, R., Duval, R. and Jamet, S. (2009). “The economics of

climate change mitigation: How to build the necessary global action in a cost-effective

manner.” Economics Department Working Papers No. 701.

Committee on Pricing and Taxation of Petroleum Products. (2006). Report of the Committee on

Pricing and Taxation of Petroleum Products. India.

Clements, B., Jung, H.-S. and Gupta, S. (2007). “Real and Distributive Effects of Petroleum

Price Liberalization: The Case of Indonesia.” Developing Economies. 45(2):220-237.

De Moor, A. (2001). “Towards a Grand Deal on subsidies and climate change.” Natural

Resources Forum, 25(2):167-176.

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Ekine D.I. and Okidim I A., (2013), ‘Analysis of the Effect of Fuel Subsidy Removal on

Selected Food Prices in Port Harcourt, Rivers State Nigeria (2001-2012)’, European

Journal of Business and Management Vol. 5 No. 4

Osagie C. (2012). ‘Nigeria LCC lists, effects of fuel subsidy removal’. http://allatrica.co,

retrieved 20, March 2013

International Energy Agency (IEA). (1999). World Energy Outlook 1999: Looking at Energy

Subsidies – Getting the Prices Right. International Energy Agency: Paris.

________ (2007). World Energy Outlook 2006. International Energy Agency: Paris.

________ (2008). World Energy Outlook 2008. International Energy Agency: Paris.

_______ (2010), Energy Policies of IEA Countries Germany 2010 Review, OECD/IEA, Paris

Jensen, J. and Tarr, D. 2002. “Trade, Foreign Exchange, and Energy Policies in the Islamic

Republic of Iran: Reform Agenda, Economic Implications, and Impact on the Poor.”

Research Working papers, 1-37.

Morgan, T. (2007). Energy Subsidies: Their Magnitude, How they Affect Energy Investment and

Greenhouse Gas Emissions, and Prospect for Reform. Menecon Consulting.

Organization for Economic Co-operation and Development (OECD). (2000). Environmental

Effects of Liberalizing Fossil Fuels Trade: Results from the OECD GREEN Model. Joint

Working Party on Trade and Environment. OECD: Paris.

Organization for Economic Co-operation and Development (OECD). (2005). Environmentally

Harmful Subsidies: Challenges for Reform. OECD: Paris.

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Saunders, M. and Schneider, K. (2000). “Removing energy subsidies in developing and

transition economies.” ABARE Conference Paper, 23rd Annual IAEE International

Conference, International Association of Energy Economics, June 7-10, Sydney.

United Nations Environment Programme (UNEP). (2008). Reforming Energy Subsidies:

Opportunities to Contribute to the Climate Change Agenda.

Varangu, K. and Morgan, T. (2002). Defining and Measuring Environmentally-Harmful

Subsidies in the Energy Sector. OECD.

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Assessing their Impact and Designing Policy Reforms. Sheffield: Greenleaf Publishing.

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World Bank Win-Win Energy Policy Reforms. World Bank: Washington, DC.

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CHAPTER TWO

LITERATURE REVIEW

2.1 The Concept of Subsidy and its Removal

The concept of subsidy has plethora of definitions as there is no universally accepted

definition. A subsidy represent payments by government to suppliers, companies, producers that

have effects on reducing their costs of their products or services; aimed at making those products

or services economically accessible to the targeted group. Myers and Kent (2001) define subsidy

as a form of financial or in kind support extended to an economic sector (or institution, business,

or individual) generally with the aim of promoting beneficial economic and social outcomes.

This comes in various forms including direct (cash grants, interest-free loans), indirect (tax

breaks, insurance, low interest, depreciation write offs, rent rebates). International Monetary

Fund (2008) conceptualise subsidy as a policy interventions engendering a deviation of

consumer or producer prices from an appropriate benchmark levels. Subsidies are aimed at

altering consumption and production patterns and affecting the distribution of resources. World

Trade Organization (2006) definition spelt out conditions under which subsidy may exist: (a)

there must be a financial contribution from government or any public body where there is a

direct and potential direct transfer of funds or liabilities, foregone of government revenue,

government provides goods or services other than infrastructure or purchase of goods;

government makes payments to a funding, or entrusts or directs a private body to carry out one

or more of the type of functions illustrated in (i) to (ii) above which could normally be vested in

the government and the practice, in no real sense, differs from practices normally followed by

governments; (b) there is any form of income or price support and a benefit is thereby conferred.

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Obokoh and Lawerence (2008), using a sample of 500 manufacturing SSBs discovered

that SSBs does not feel the positive effect of liberalisation due to improper planning and absence

investment climate. Akinlo and Odusola (2003) discovered from their study on the effect of trade

liberalisation on SSBs that there was a decrease in turn over. They attributed this to two main

reasons, Accumulated inventory due to low demand occasioned by fall in the income of the

population as a result of the subsidy removal and increase cost of production affecting the profit

potential. Ekpeyong (2002) studied the impact of structural Adjustment programme (SAP) on

SMEs in Nigerians following the high inflation. Agboli and Ukaegbu (2006) found from their

study that trade policy led to low budgetary allocation for infrastructure management by

government, leading to deplorable infrastructure and causing small scale business to spend on

those infrastructures. Sanusi and Adelaja (2003) using a simple random sampling technique to

study 200 SMEs identified inadequate finance, shortage of skilled manpower and lack of

infrastructural facilities as the major problems of SSBs in Nigeria. Olabisi et al (2007) surveyed

211 business owners to study the informal economy of Lagos state discover that the constraints

hindering small scale business growth and survival are corruption, lack of experience, poor

infrastructure, insufficient profit and low demand for product and service.

Adeola (2005) used a random sample of 50 SMEs to study the cost of power outage to

the business sector found that the poor state of electricity supply imposed significant cost on the

business sector and stated further that most SMEs fail due to their inability to finance their back

up power. David et al (1992) used the interview approach to study the characteristics of 150

small scale businesses in Nigeria and pointed out that 8 out of every 10 businesses (80%) were

failing. Eme and Okechuku (2011) used a 34 years (1973-2007) time series data to study

deregulation in Nigeria showed instability of fuel prices, high rate of inflation and

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unemployment occasioned by the fuel subsidy removal. This also had negative effect on SSB

performance. Ismaila (2012) surveyed 1600 SMEs made up of agro allied and non-agro allied

industry and analysed the result using the Standard Package Statistical Software (SPSS) and

found that SMEs is prerequisite for employment generation in Nigeria. Anthony (2012) used the

Ordinary Least Square method (OLS) to study policy support and SMEs performance discovered

that of the three study variables, technology and financial support impact SMEs positively while

infrastructural support is negatively related to SMEs performance.

It is pertinent to understand the concept of subsidy. The World Trade Organisation

Agreement on Subsidies and Countervailing Measures (ACMS) provides a definition of subsidy.

Article 1 of the Agreement states that a "subsidy" exists when there is a "financial contribution"

by a government or public body that confers a benefit. A "financial contribution" arises where:

a government practice involves a direct transfer of funds (e.g. grants, loans, and equity

infusion), potential direct transfers of funds or liabilities (e.g. loan guarantees);

government revenue that is otherwise due is foregone or not collected (e.g. fiscal

incentives such as tax credits);

a government provides goods or services other than general infrastructure, or purchases

goods; or

a government entrusts or directs a private body to carry out one or more of the above

functions. A "benefit" is conferred when the "financial contribution" is provided to the

recipient on terms that are more favorable than those that the recipient could have

obtained from the market.

Over the years, there has been divergent view on the removal of energy subsidy. Most

authors believe that the removal of subsidy is healthy for economic growth and development.

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This is centered on their submission that paying actual cost reveals the true cost of consumption

and leads to a greater level of efficiency in the economy. However, appropriate measures are

considered necessary so as not to affect macroeconomic variables like inflation, unemployment,

economic growth, etc. It is worth knowing that there are costs associated with subsidy removal,

mostly in the short run.

According to Nwafor et al (2006), subsidy removal without spending of the associated

savings would increase the national poverty level. This is due to the consequent rise in input

costs which will be higher and a rise in selling prices of most firms and farms. The key sector

that experience increased nominal output is the refined petroleum products sector which provide

income for an extremely low number of households.

The findings of Coady et al (2006) shows that energy subsidies are badly targeted in all

the countries analyzed which are Bolivia, Ghana, Jordan, Mali, and Sri Lanka. This even holds

true for kerosene, for which subsidies are often promoted as a way of protecting the poor.

Reflecting this, the real income burden resulting from the withdrawal of energy subsidies is

borne disproportionately by higher-income households. They said lower income households do

suffer sizable real income decreases from subsidy removal, and any credible policy strategy

therefore needs to address the mitigation of these adverse effects.

O’Ryan et al (2003), analyzed the subject matter on Chile and concluded that removing oil

subsidies could have economic and distributional effects on the economy. This is mainly because

consumption of oil is relatively large compared to other forms of power. Also, the effects on the

sectors concerned, namely oil refining and coal production are much bigger in each case.

However, the environment clearly benefits from the removal of both coal and oil subsidies as the

level of emissions are much lower in both cases.

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Nigeria has been a large producer of oil, importing the bulk of its needs either in the form of

petroleum products even though she has four domestic refineries. In 2004, as the world oil price

rose, the total cost of subsidies increased sharply. By 2005, fuel price increased by 50% as a

result of subsidy removal but series of mitigation measures were also introduced that were

transparent and easily monitorable. These included the immediate elimination of fees at

government‐run primary and junior‐secondary schools, and a programmes to improve public

transport. There was opposition to the increases but there was general acceptance of the policy

(Bacon and Kojima 2006).

In Nigeria, the government bears part of the production cost of fuel through subsidies

basically to alleviate the high cost on the masses and to reduce production cost of goods and

services. The local refineries in the country produce about 13 million liters of refined petroleum

products daily. However, daily domestic consumption is about 30 million liters. The shortfall of

17 million liters is imported so as to meet daily demand. The imported products are not sold at

their full landed cost as it is subsidized. In 2003, the government stated that for each liter of

petroleum products, N12 is spent as subsidy. This implies an explicit subsidy of N74 billion or

about 1.42% of GDP.

Expenditure on fuel subsidy has increased over the years. It cost the government N1.3

trillion (about $8.38 billion) in the 2010 fiscal year, which accounts for about 25 per cent of the

entire budget expenditure for the year under review. By the end of the year, the approved

amended and supplementary budget amounted to N5.159 trillion (about $33.2 billion).

Investigations revealed that fuel subsidy incurred by the Federal Government may have exceeded

the N1 trillion mark by the end of the third quarter, with indications that payments to petroleum

products marketers may surpass 2010 levels at the end of the year.

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Government regulates the sale of Premium Motor Spirit (PMS) and House Hold

Kerosene (HHK), selling both at N55 and N40.90k per litre, respectively at the depots of the

Petroleum Products Marketing Company (PPMC), a subsidiary of the state-owned Nigerian

National Petroleum Corporation (NNPC). The Petroleum Products Pricing and Regulatory

Agency (PPPRA) allots quarterly imports quotas to the NNPC and petroleum products marketers

and pay both parties the difference between the landed cost and the approved pump prices.

Checks however revealed that the petroleum products marketers have turned the subsidy

payment regime into a huge profiteering enterprise ripping the state of hundreds of billions each

year under bogus subsidy claims for petroleum products they neither imported nor delivered to

the pumps.

Three quarters through 2011, independent checks revealed that outstanding subsidy

payments amounts to over N1 trillion, while ongoing racketeering surrounding kerosene supply

and distribution appears set to raise subsidy payment claims to an increase by the end of the year.

According to the PPPRA pricing template, even though petrol is sold at N55.90k and N65 per

litre, ex-depot and pump price respectively; if deregulated, consumers would have to pay

N138.20k per litre. Essentially, the subsidy element on current petrol price is N82.30k per litre.

Similarly, although ex-depot and pump prices of HHK is N40.90k and N50 per litre respectively;

if deregulated, consumers would have to pay N151.15k per litre. Essentially, the subsidy element

on current kerosene price is N110.25k per litre.

It can be deduced from the literature that several countries were faced with the problem

of removing fuel subsidies at different times and some succeeded as a result of the strategies that

were adopted. If the proposed fuel subsidy removal is successful, prices of petroleum products

would increase in the short run. In the medium to long term, investments in development of

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infrastructure would increase, jobs would be created, technology would be domiciled and under

such circumstance, the Gross Domestic Product (GDP) of the country will grow increasingly.

The success of this will however depend on the sincerity of the government and her ability to

channel the funds back into the economy for developmental projects.

2.2 Empirical Literature

Since most macro variables are highly trended, deterministic trends are used in unit root

tests and in the estimation of the models with cointegration techniques. The implication of

allowing for deterministic trend is that if the model is shocked, after some departures from the

trend, the variables would return to their trend values. Cointegration techniques ensure this by

estimating the model so that the residuals are stationary. Therefore, shocks have no permanent

effects on the trend in the equilibrium relationships. Ventosa-Santaularia and Gomez (2007)

proved that it is incorrect to carry out standard hypothesis testing on the deterministic trend

parameter estimated with Dickey-Fuller (DF)-type tests when there is a unit root since the

limiting distribution of its t-statistic is neither asymptotically normal with unit variance nor

nuisance-parameter-free when the innovations are not independent and normal distribution. The

Cointegration approach can only accommodate a deterministic trend and deterministic seasonal

dummies. In contrast Harvey (1997) argued that unless the time period is fairly short, these

trends cannot be adequately captured by straight lines. In other words, a deterministic linear time

trend is too restricting. Harvey suggests that time series models should incorporate slowly

evolving stochastic instead of deterministic trends. Such models are known as the unobserved

components models or structural time series models. Models with stochastic trends i.e., structural

time series models are useful in some instances. Firstly, it may be hard to identify multiple

structural breaks in the deterministic trend when the sample size is small. Secondly, in structural

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time series models, standard classical methods of estimation can be used to estimate the effects

of additional explanatory variables (Rao 2007)

In standard economic models, individual decision-making is based on the assumptions of

rational behaviour and self-interest, according to which individuals make choices that maximize

their well-being or utility under the constraints they face. These assumptions are often supported

by empirical evidence: people facing policy incentives will respond generally in a manner

consistent with Global Journal of Arts Humanities and Social Sciences Vol.2, No.4, pp.53-71,

June 2014 Published by European Centre for Research Training and Development UK welfare

maximisation. The main economic factors driving energy demand in households are prices and

income. It is also known from basic economic theory that there is a close link between price

elasticity and substitution possibilities. A household facing higher energy prices can typically use

a whole array of different ways to lessen the impact of the price increase on their budget.

Because these substitution possibilities vary across households the price elasticity’s varies across

the population. Therefore demand for energy is generally quite price-inelastic. Income is a key

driver of energy demand, if the relative price of energy increases, the reductions of demand are

expected (Huntington, H. 1987). Pricing will induce a change in consumption decisions. It is

widely accepted among analysts that the quantity demanded of a good or service has an inverse

relationship with the price. This general perception derives as much from common sense as from

economic theory and basic data observation. Given the significance of this phenomenon,

economists have developed a specific concept called price elasticity which measures the relative

change (%) in quantity demanded for a good or a service, in response to a relative change (%) in

price. Price elasticities can be useful for studying the expected demand growth of a good or

service, and for analysing the impact of different government actions with respect to prices such

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as tariffs, taxes or consumption-related subsidies. The positive link between the consumption of

a good or service and the income is also widely acknowledged. That is the relative change (%) in

quantity demanded which results from a relative change (%) in the income.

Petroleum products demands like any other commodities are a multivariable relationship,

that is it is determined by many factors simultaneously. The traditional theory of demand has

concentrated on four of the determinants the price of petroleum products, price of other energy,

income of the consumers and habit. The traditional theory of demand examines only the final

consumers demand for durable and non durables. It is partial in its approach in that it does not

examine the demand in other markets. The serious difficulties that associate with such estimating

function are the aggregation of demand over individual and over commodities makes the use of

index numbers inevitable. Furthermore, there are various other estimation problems which

impair the reliability of the statistically estimated demand functions. The most important of these

difficulties arise from simultaneous change of all determinants, which makes it extremely

difficult to assess the influence of each individual factor separately. However, there has been a

continuous improvement in the economic technique. There is a considerable economic literature

on energy demand. Although the first empirical papers can be traced back to the 1950s, the

energy crises of the 1970s led to a subsequent larger interest .One of the most comprehensive

surveys of energy demand modelling was prepared by Bohi (1981) for the Electric Power

Research Institute. (EPRI). The overall purpose of the study was to examine price elasticities, the

study is an excellent overview of demand modelling since price elasticities are usually output

derived from an overall analysis of demand determinants. An update of this study was prepared

in 1984 by Bohi and Zimmerman. Madlener (1996) attempts to update the earlier Bohi work, as

well as breaking the existing econometric literature into a number of useful different categories.

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These include studies associated with log-linear functional forms, transcendental logarithmic

(translog) functional forms, qualitative choice models (also known as discrete choice models),

household prod uction theory (end-use modelling) and pooled time series – cross sectional

models. A first Global Journal of Arts Humanities and Social Sciences Vol.2, No.4, pp.53-71,

June 2014 Published by European Centre for Research Training and Development UK general

approach consists of estimating the energy using aggregate demand analysis model on prices and

income (GDP) and climate conditions (Narayan and Symth 2005; Hondroyians 2004). The

second group uses micro economic data to estimate the demand for energy goods (Hanemann

1984; Bernard 1996; Baker 1995 and Vaage 2000). Allowing some additional explanatory

variables as the stock of durable goods (heating systems stock of electric appliances, etc) housing

(size, age of house, insulation etc) and household characteristic (number of members age, income

etc).Though literature has a long standing on energy demand; there is still a paucity of research

on energy demand in Africa and Nigeria in particular. Previous studies have concentrated on

aggregate approach. Also the fact that some of these studies have been done long ago makes a

new study in this area very imperative. In addition the review studies focus on cointegration

approaches.

Iwayemi et al (2007) using multi variable cointegration approach for 1977 to 2006 annual

data confirm the conventional wisdom that energy consumption responds positively to changes

in GDP and negative respond to change in energy price. Gasoline has the highest long run

income elasticity followed by total energy demand. The lowest long run income elasticity has

recorded by diesel in absolute terms. In similar run, kerosene has the highest long run price

elasticity followed by diesel in absolute term. Onwioduokit and Adenuga (1998) employed

cointegration techniques to estimate elasticities for proportions of GDP contributed by

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agriculture, manufacturing and services. Their empirical findings reveal that urbanization was

one of the principal factors that have a positive impact on the consumption of liquefied

petroleum gas and premium motor spirit. De vita et al., (2006) using database of end-user local

energy data and Auto Regressive Distributive Lag (ARDL) bound testing approach to

cointegration to estimate the long-run elasticities of Namibian energy demand function at both

aggregate level and by type of energy (electricity, petrol and diesel) for the period 1980 to 2002,

their result shows that energy consumption respond positively to GDP and negatively to price

and temperature. However, previous studies in Nigeria do not model intercept as random trend.

As a consequence, the price effects obtained may not be accurate and may lead to a wrong

assessment on the effectiveness and costs of energy policies. Thus create an important gap to be

filled in this study.

2.3 Theoretical Framework Classical Political Economy

Classical Political Economy is a strand of bourgeois political economy and has been

pioneered by Adam Smith (1776), Thomas Malthus and David Ricardo (1817).The central

argument of classical political economy is liberation, both individual and market-wise which

culminates to social harmony and maximization of social welfare. The Classical Political

Economy theorists advocate freedom of individuals and market and frowns at state interference

in market operations, calling for the deregulation of the economy which operates through market

forces. This freedom according to the theorists will ensure not only social harmony but also the

maximization of social welfare. According to Frieden and Lake (1995) classical political

economy is concerned with how both market and politics are made better off by ensuring that

people enter into voluntary exchanges with others. When there are no restrictions to trade, there

is more freedom to operate and invest. The fundamental assumption of classical political

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economy is that economic freedom will culminate in the attainment of highest possible welfare.

A free market relieved of all factors of monopolistic tendencies, which in the long run at would

at least serve the interest of greatest number of people. In addition, the classical theorists also

assume that liberation creates rational individuals whose investments have multiplier effects on

the society. Sabine (1973) emphasised laissez faire which constitutes the ring around which the

tenets of liberal political economy revolves. The self-regulating economy advocated by liberal

leaves a minimal role to the government. Adam Smith (1776), a core proponent of the theory,

contends that the role of the state should be limited to providing law and order - that is creating

necessary conducive ambience for market competition. For Smith, any further state intervention

would “prove inefficient at best, oppressive at worst”. This explains why the liberal gives

primacy to economics and the production of wealth in the organization of society. From the

foregoing, it can be seen that liberals believe in the relative liberalization of political and

economic spheres of economic activities (Akindele; Obiyan; Olaopa and Asaolu; 2003) The

classical political economy advocates for liberalization and deregulation of the oil industry

through subsidy removal, regulation of the downstream sector, privatization of the refineries and

relaxation of laws and controls that limit private participation in petroleum business. This

according to the theory will guarantee utilization of human potential for investment and ensure

maximum welfare of the citizenry. By extrapolation, fuel subsidy removal would finally

actualize the objective of ending perennial fuel scarcity and maintaining sustainable fuel supply

across the polity. Also, deregulation of the sector would open it up for foreign investments, and

the incidents of petroleum products smuggling and inefficiencies in the sector (Eme and

Onwuka, 2011). This will improve investment in the oil sector with trickled down effects that

will culminate into improved welfare and high living standard for Nigerians.

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2.4 The Role of the Manufacturing Sector in the Economic Growth in Nigeria

It has been argued that the fastest trend through which a nation can achieve sustainable

economic growth and development is neither by the level of its endowed material resources, nor

that of its vast human resources, but technological innovation, enterprise development and

industrial capacity (Olamade et al 2014). For instance, despite its poor natural resources, and the

hurdles it faced from 1920s chronic inflation, Germany has effectively exploited the

manufacturing sector and rose up to become the largest economy in Europe and the fourth largest

in the world.

In the modern world, manufacturing sector is regarded as a basis for determining a

nation's economic efficiency (Amakom, 2012). However, after the discovery of crude oil in

Nigeria in the late 1950s, the nation has shifted from its pre-eminent developing industrial

production base and placed heavy weight on crude oil production (Englama, et al. 2010); not

only has this jeopardized its economic activities, it also aggravated the nation's level of

unemployment. Nigeria as a giant of Africa has for long been regarded as a nation blessed with

abundant human and material resources; however, the underutilization of these potentials has

amplified widespread poverty, low standard of living at individual level and rising

unemployment in the country as a result of incessant mono-economic practice and drastic neglect

of other sectors of the economy such as agriculture, tourism, mining and the manufacturing

industry. 

In spite of the country's vast oil wealth, the World Bank Development Indicators (2014)

has shown that majority of Nigerians are poor with 84.5 per cent of the population living on less

than two dollar a day based on a survey conducted in 2010 up from 63.1% reported in 2004

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survey. The United Nations Human Development Index (2014) also ranks Nigeria 152 out of 187

countries, which is a significant decrease in its human development ranking of 151 in 2004; and

World Bank Development Indicators (2012) placed Nigeria within the 47 poorest countries of

the world. The issue of poverty can be easily traced to mono-economic practice and

underutilization of the nation’s endowed resources, especially in manufacturing sector

(Akinmulegun and Oluwole, 2013), which could have opened up windows of opportunity in job

creation and economic development. 

Putting the country back on the path of recovery and growth will require urgently

rebuilding deteriorated infrastructure and making more goods and services available to the

citizenry at affordable prices. This would imply a quantum leap in output of goods and services.

Ogbu (2012) states that no other sector is more important than manufacturing in developing an

economy, providing quality employment and wages, and reducing poverty. Increasing

productivity should be the focus because many other countries that have found themselves in the

same predicaments have resolved them through productivity enhancement schemes. For instance,

Japan from the end of the World War II and the United States of America from the 1970s have

made high productivity the centre point of their economic planning and the results have been

resounding. Also, middle income countries like Hong Kong, South Korea, Singapore and India

have embraced boosting productivity schemes as an integral part of their national planning and

today they have made significant in-roads into the world industrial markets.

Given the importance of high productivity in boosting economic growth and the

standards of living of the people, it is necessary to evaluate the role and performance of the

Nigerian manufacturing sector. In the light of the foregoing, there cannot be another appropriate

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time to evaluate the role of the Nigerian manufacturing sector in the economic growth and the

development of the country than now.

T The history of industrial development and manufacturing in Nigeria is a classic

illustration of how a nation could neglect a vital sector through policy inconsistencies and

distractions attributable to the discovery of oil (Adeola, 2005). However, Ogbu (2012) argues

that the country’s oil industry is not a major source of employment, and its benefit to the other

sectors in the economy is limited since the government has not adequately developed the

capacity to pursue the more value-added activities of the petrochemical value chain. As a result,

the oil industry does not allow for any agglomeration or technological spillover effects, Ogbu

(2012) stresses.

From a modest 4.8% in 1960, manufacturing contribution to GDP increased to 7.2% in

1970 and to 7.4% in 1975. In 1980 it declined to 5.4%, but then surged to a record high of 10.7%

in 1985. By 1990, the share of manufacturing in GDP stood at 8.1% but fell to 7.9% in 1992;

6.7% in 1995 and fell further to 6.3% in 1997. As at 2001 the share of manufacturing in GDP

dropped to 3.4% from 6.2% in 2000. However, it increased to 4.23% in 2013 (CBN, 2013) which

is less than what it was in 1960. Currently, Nigeria’s manufacturing sector’s share in the Gross

Domestic Product (GDP) remains minuscule (CBN, 2013). Compare that to the strong

manufacturing sectors in other emerging economies, where structural change has already

occurred and where millions have been lifted out of poverty as a result: manufacturing

contributes 20 percent of GDP in Brazil, 34 percent in China, 30 percent in Malaysia, 35 percent

in Thailand and 28 percent in Indonesia (Ogbu, 2012). The more recent experiences of the East

and Southeast Asian economic transformations demonstrate that diversification into

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manufacturing and industrial production facilitated by what Arthur Lewis calls the “intelligent

governments” are critical to poverty reduction.

However, Nigeria has no effective industrial policy that promotes manufacturing; at least

not in the sense of policy which provides practical solutions to the difficulties encountered by

incipient entrepreneurs or emerging manufacturing firms. It is in the light of the foregoing that

this study seeks to evaluate the role of the manufacturing sector in the Nigerian economy.

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Chuku , A. C., Effiong, L. E., & Sam, R. N. (2010). Oil Price Distortions and their Short- and Long-run Impacts on the Nigerian Economy. Retrieved 11 30, 2012, from mpra.ub.uni-muenchen.de/24434 

Coady, D., El-Said, M., Gillingham, R., Kpodar, K., Medas, P. and Newhouse, D. (2006). “The Magnitude and Distribution of Fuel Subsidies: Evidence from Bolivia, Ghana, Jordan, Mali and Sri Lanka.” IMF Working Paper.

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Ellis J (2010). “The Effects of Fossil-Fuel Subsidy Reform”: A review of modeling and

empirical studies. International Institute for Sustainable Development.

Eme, O.I., Onwuka, C.C. (2011) "Deregulation Policy in Nigeria: The Challenges Ahead" Political Economy of Journal of Social Sciences and Public Affairs Volume 3, Number 2.

Englama, A.; Duke, O.; Ogunleye, T. and Isma’il, F. (2010) Oil Prices and Exchange Rate Volatility in Nigeria: An Empirical Investigation. Vol. 48/3 September, pp. 31-48.

Hanemann, W.,(1984). Discrete/continuous models of consumer demand. Econometrica, 52: 541- 561.

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Iwayemi, A., Adenikinju, A. and Babatunde, M.A. (2007). Estimating Petroleum Products Demand Elasticities in Nigeria: A Multivariate Co-integration Approach”. A seminar Paper presented

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Olamade, O. O.; Oyebisi, T. O. and Olabode, S. O. (2014) “Strategic ICT-Use Intensity of Manufacturing Companies in Nigeria”. Vol. 4, no. 1, pp. 1-17.

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CHAPTER THREE

RESEARCH METHODOLOGY

3.1 Introduction

This chapter discusses the method and procedures that shal l be employed in carrying

out the research. They include research design, study population, sample size, sampling

technique, data gathering method, sources of data, instruments for data collection,

description of questionnaire, validity and reliability of instruments, method of data analysis,

instrument for data analysis, model specification and model estimation technique.

3.2 Research Design

In this study, a cross sectional survey design involving the survey of existing data

(secondary sources) shall be adopted. Two major approaches would be used in the previous

related studies to evaluate the impact of oil subsidy removal on manufacturing firms in South

East, Nigeria from 1973-2014. This study shall adopt the two methods. The study shall make

use of secondary data to investigate the aggregate impact of oil subsidy removal on

manufacturing firms in South East, Nigeria from 1973-2014 in line Bernard (1995); Brief and

Zarowin (1999); Barth, Beaver and Landsman (2000) and Beisland (2009).

3.3 Population of the Study

The population of the study consists of all the manufacturing firms in South East, Nigeria

as at 2014.

3.4 Sample Techniques and Sample Size

Simple random sampling technique shall be used in this study to elicit data from the

respondents. The procedure of the hybrid involved first purposively selecting the

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manufacturing firms active manufacturing activities and then randomly selecting the them.

Purposive sampling technique shall be adopted by selecting a sample unit based on specific

criteria and generalization of result is limited to those who have met the criteria. The

following were the conditions:

1) The manufacturing firm was a registered dealing member in the Nigerian Stock

Exchange at the time of the study;

2) The manufacturing firm has a stock broker who trades in the Nigerian Stock

Exchange and individual who has shares in Nigerian Stock market.

The study shal l focus on 25 manufacturing firms listed on the Nigerian Stock

Exchange during the period - 1973 to 2014 operating in South East Nigeria. The sample size

was limited to 25 manufacturing firms in South East (5 from each state) because of non

availability of data. Panel data shall be used to overcome the problems associated with missing

data (Negash, 2008). The panel data of 25 manufacturing firms over a period of 41years. The

manufacturing firms shall be selected based on the following criteria:

1. The manufacturing firm is listed on Nigerian Stock Exchange during the period

and

2. The manufacturing firm has the basic financial statement data.

3. In each manufacturing firm 12 respondents are to be selected

This initial sample is supported by Taro Yemane sample selection method (Guilford

and Frucher, 1973) as stated below:

According to Taro Yemane, n = N / [1 + (Ne2)],

Where: n is the sample size, N is the population,

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e is the error limit (0.05 on the basis of 95% confidence level).

Therefore, n = 300 / [1 +300(0.052)]

n = 300/ 1.75 = 171.43

n = 172

Based on afore calculation, the sample size of 172 with error limit of 5% is considered

appropriate for this study.

3.5 Data Description

Panel data will be used in this study for hypotheses (1)-(3). This is the combination of

time series with cross-sections to enhance the quality and quantity of data in ways that would

be impossible using only one of these two dimensions (Gujarati, 2003). The repeated

observations of enough cross-sections and panel analysis permit the study of dynamics of

change with short time series.

While most research in this area has concentrated almost absolutely on explaining price

by book value and reported earnings, our focus is on the relation between share price, book

value, earnings and dividends. Proxies for accounting information used in this study included

earnings-per-share (EPS), dividends-per-share (DPS) and net book value per share (Brief and

Zarowin 1999; Callao, Cuellar and Jarne 2006 and Chang et al, 2008). The length of

observations may vary- they could be daily, quarterly, yearly- but yearly observations were

used in this study, which is the most typical measure used by researchers (Barth, Beaver and

Landsman, 1998; Barth et al, 2000; Francis and Schipper, 1999 and Beisland, 2009). For

survey of user’s opinion, the researcher shall collect data through a questionnaire administered

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to workers and operators – the Managers, Financial Analysts, Accountants and individuals.

3.6 Sources and Data Gathering Method

In this study, both primary and secondary data would be used. The primary data

shall be collected through survey questionnaires administered on the respondents. Related

literature shall be reviewed before the questionnaire is formulated (see Appendix 1). The

secondary data - earnings-per -share, dividends and book value were obtained from the

Nigerian Stock Exchange Factbook, Annual Financial Reports of companies quoted on

the Nigerian Stock Exchange and the Nigerian Stock Market Annual. The data of share prices

were collected from the Nigerian Stock Exchange database. Only companies with at least a

number of the accounting figures such as annual earnings, book value, share information and

total assets or shareholders equity were included.

Questionnaire shall be used in this study to elicit data from respondents on creative

accounting and value relevance of various items of financial statements. The questionnaire has

six sections that contain a combination of closed and open-ended questions. The first section

is to collect bio-data of respondents. It contains data on respondent - investor, sex, age,

qualifications, profession and work experience. Sections B - F contain information on value

relevance of various items of financial statements as stipulated by Companies and Allied

Matters Act 1990 and the subsequent amendments -profit and loss account, balance sheet, value

added statement, cash flow statement and other items of financial statements - for investment

decision making in Nigerian. The users of accounting numbers were asked to rank each item

based on the attached scale of perceived relevance of accounting data by the user. A five-point

Likert-type scale was used following Myburgh (2001). The scales adopted are: Very Large

Extent (5); Large Extent (4); Moderate Extent (3) Low Extent (2) and Very Low Extent (1).

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Respondents specified their choices by ticking one of these alternatives.

3.7 Validity of Research Instrument

Validity tests would be carried out to check the ability of the research instrument to

measure the variables it was intended to measure. Both face validity and content validity

shall be employed. Face validity involves an analysis of whether the instrument appears to be

on a valid scale and contained the important items to be measured. Content validity on the

other hand, evaluates the degree to which a test appears to measure a concept analysis of the

items in order to ensure an adequate coverage of the scope of study by the measuring

instrument. To achieve this, the questionnaire shall be given to the supervisor and experts in

the field to review the content and appropriateness of the questions in relation to the stated

objectives of the study.

3.8 Reliability of Research Instrument

To ensure stability, dependability and predictability of the research instrument,

reliability test shall be conducted. Reliability of the research instrument is checked to determine

if the scale consistently reflects the construct it was measuring. It has to do with accuracy,

precision or consistency of a measuring instrument. Methods of reliability test are test retest,

spilt halves and alternate form among others. Test- retest reliability measures the stability of the

research instrument (Gronlund and Linn, 1990). This shall be done by administering the

research instrument twice on the same set of respondents at different times. It intends to

determine the extent to which a measure, procedure or instrument yields the same result on

repeated trials. Split halves method evaluates the internal consistency of the instrument.

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In this method, research instrument was split into two equivalent halves and the test

score correlated together. The alternate form method tests the reliability of research instrument

by administering the same measuring instrument on different dimensions of the same

variables. This study employed split halves method to measure the degree to which the items

that made up the scale were all measuring the same essential attribute. This was estimated

with correlation coefficients (Pearson r) and Cronbach’s coefficient alpha. Correlation

coefficients range from 0.00 to 1.00. Correlation coefficient of 0.00 means no correlation.

While correlation coefficient of 1.00 means perfect correlation. Cronbach’s coefficient alpha is

the measure of scale’s internal consistency.

Table 3.1: Reliability tests for the Survey Scale

Number Type of Reliability Test Value Remarks

1 Cronbach’s Alpha 0.934 Very Reliable

2 Split-half Part 1 =0.865 Very Reliable

Part 2 =0.920 Very Reliable

3 Correlation Between

Forms

0.719 Very Reliable

4 Spearman-Brown Equal Length=0.836 Very Reliable

4 Unequal

Length=0.836

Very Reliable

5 Guttman Split-half 0.826 Moderately reliable

Source: Field Study (2015)

The result of reliability test of survey questionnaire is as shown in table3.1. The

Cronbach’s coefficient alpha which is the most common measure of internal consistency of

scale is 0.934. It shows average correlation among the items of the scale. As a result, all

Page 42: Evaluation of the impact of oil subsidy removal on manufacturing firms in south east

questions without scale were excluded from reliability test. Other items of financial statements

were not measured because they contain various different items of financial report. Split-half

test and other tests were meant to corroborate Cronbach’s coefficient alpha. Split-half

reliability test gives a value of 0.865 and 0.920 for each of the two halves respectively.

Correlation Between Forms is 0.719; Spearman-Brown Coefficient Equal length is 0.836 and

unequal length is 0.836 and Guttman Split-half 0.826. Each and every one of these tests

shows that the instrument is very reliable.

3.9 Data Analysis Techniques

In this study, our method of gauging information content of various social research

panel as stated in model equations where Ordinary Least Square, Random Effects Model

and Fixed Effects Model (FEM). OLS would be used as a basis of comparison with the

previous studies. However, using traditional Ordinary Least Square (OLS) alone may produce

spurious regression problem that can lead to statistical bias (Granger and Newbold, 1974). This

is because an implicit assumption underlying regression analysis involving time series data is

that such data are stationary and since time series are not stationary. In other words, it is an

assumption that is unlikely to hold in practice.

Specifically, we believe that, it is the deviation of the characteristics of social research

data from the assumptions of the applied methods and the misuse of statistical indicators that

led to contradicting inferences in this literature. Therefore, random effects and fixed effects

were adopted to prevent these problems. Random effects also called a variance components

model is used in the analysis of panel data when one assumes no fixed effects (that is no

individual effects). The fixed effects model is a special case of the random effects model

(Christensen, 2002). Conceptually, a variable's effects might be treated as random effects if the

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levels of the variable that are included in the study as a sample drawn from some larger

(conceptual) population of levels that could (in principle) have been selected. Instead of

thinking of each unit as having its own systematic baseline, the researchers thought of

each intercept as the result of a random deviation from some mean intercept. The intercept

was a draw from some distribution for each unit, and it was independent of the error for a

particular observation.

3. 10 Model Specification

In order to find the impact of oil subsidy on the registered and listed manufacturing firms

in South East, Nigeria, Ohlson (1995) model was used. The objective here is to show empirically

the extent to which the removal of oil subsidy affects registered and listed manufacturing firms

in South East, Nigeria. In line with this, the study formulated the following equations to find the

multiple regression results using the Ohlson (1995) Model.

Model: For the Impact of Oil Subsidy Removal on Manufacturing Firms in South East,

Nigeria

ROSPP = f( CPPMFt + REiILiPMFt + VPPMFt + CPPMFt + EMRMFt + IAEMFt)

Where:

ROPP = Removal of Oil Subsidy on Petroleum Products

CPPMF = Consumption of Petroleum Products by Manufacturing Firms in

REiILiPMF = Reduction in Energy-Intensive and increased Labour- Intensive

Production among the Manufacturing Firms

VPPMF = Volume of Petroleum Products among the Manufacturing Firms

CPPMF = Cost of Production and Profit among the Manufacturing Firms

Page 44: Evaluation of the impact of oil subsidy removal on manufacturing firms in south east

EMRMF = Efficient Management of Resources among the Manufacturing

Firms

IAEMF = Investments in Alternative Energy by the Manufacturing Firms

t = Time dimension

The equation can be expressed in explicit form as follows:

Yt = α + β1 CPPMFt + β2 REiILiPMFt + β3 VPPMFt + β4 CPPMFt + β5 EMRMFt + β6

IAEMFt + et

Where; Y is the dependent variable; β0, β1, β2, β3 , β4, β5 are regression coefficients with

unknown values; CPPMF, REiILiPMF, VPPMF, CPPMF, EMRMF and IAEMF are the

explanatory variables e is a random error component.

α = The intercept

β = The coefficients of independent variables

ε = Statistical error

APriori Expectation is such that β >0 (i =1-3).

Decision rule: If the regression coefficient is positive and the calculated t-value is greater than

the tabulated value, it is an indication that there is positive relationship between the independent

and dependent variables. The coefficient of determination (R2) is to be used to measure the rate

at which the independent variable is explained by dependent variables. Finally, if the Durbin

Watson test is approximately two (2), it shows the absence of autocorrelation.

a). The Assumptions of Correlation Analysis

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Assumption 1: The correlation coefficient r assumes that the two variables measured form a

bivariate normal distribution population. That is, Joint probability distribution is bivariate

normal- relationship among variables linear

Assumption 2: The correlation coefficient r measures only linear associations: how nearly the

data falls on a straight line. It is not a good summary of the association if the scatterplot has a

nonlinear (curved) pattern. This can be checked for by examining scatterplot for evidence of

non-linearity

Assumption 3: The correlation coefficient r is not a good summary of association if the data are

heteroscedastic. That is • Non-parametric tests can be used when these assumptions are violated,

(Ezejunlie and Ogono, 2009).

b). The Assumptions of Simple regression Analysis

1) The sample must be representative of the population for the inference prediction. 

2) The error is assumed to be a random variable with a mean of zero conditional on the

explanatory variables. 

3) The independent variables are error-free. If this is not so, modeling may be done using

errors-in-variables model techniques. 

4) The predictors must be linearly independent, i.e. it must not be possible to express any

predictor as a linear combination of the others. (Multicollinearity)

5) The errors are uncorrelated, that is, the variance-covariance matrix of the errors is diagonal

and each non-zero element is the variance of the error, (Ezejunlie and Ogono, 2009). 

c) Problems multicollinearity

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If ones goal is simply to predict Y from a set of X variables, then multicollinearity is not

a problem. The predictions will still be accurate, and the overall R2 (or adjusted R2) quantifies

how well the model predicts the Y values. If the ones goal is to understand how the various X

variables impact Y, then multicollinearity is a big problem.

One problem is that the individual P values can be misleading (a P value can be high,

even though the variable is important).

The second problem is that the confidence intervals on the regression coefficients will be

very wide. The confidence intervals may even include zero, which means you can’t even be

confident whether an increase in the X value is associated with an increase, or a decrease, in Y.

Because the confidence intervals are so wide, excluding a subject (or adding a new one) can

change the coefficients dramatically – and may even change their signs, (Ikeagwu, (2008).

Methods of Detecting and Solving Multicollinearity Problems

The best solution is to understand the cause of multicollinearity and remove it.

Multicollinearity occurs because two (or more) variables are related – they measure essentially

the same thing. If one of the variables doesn’t seem logically essential to your model, removing

it may reduce or eliminate multicollinearity. Or perhaps you can find a way to combine the

variables. For example, if height and weight are collinear explanatory variables, perhaps it would

make scientific sense to remove height and weight from the model, and use surface area

(calculated from height and weight) instead, (Weisberg, 2005).

One can also reduce the impact of multicollinearity. One way to reduce the impact of

collinearity is to increase sample size. You'll get narrower confidence intervals, despite

Page 47: Evaluation of the impact of oil subsidy removal on manufacturing firms in south east

multicollinearity, with more data. Even better, collect samples over a wider range of some of the

X variables. If you include an interaction term (the product of two independent variables), one

can also reduce multicollinearity by "centering" the variables. To do this, compute the mean of

each independent variable, and then replace each value with the difference between it and the

mean. For example, if the variable is weight and the mean is 72, then enter "6" for a weight of 78

and "-3" for a weight of 69, (Kutner, Nachtsheim and Neter, 2004).

d) SPSS (Statistical Package for the Social Sciences) shall be for statistical analysis in this

study . Statistics included in the base software are:

Descriptive statistics: Cross tabulation, Frequencies, Descriptive, Explore, Descriptive Ratio

Statistics

Bivariate statistics: Means, t-test, ANOVA, Correlation (bivariate, partial,

diction for numerical outcomes: Linear regression

Prediction for identifying groups: Factor analysis, cluster analysis (two-step, K-means,

hierarchical), Discriminant, (DeMaris, 2004)

Table 3.2: Summary of Dependent and Explanatory VariablesProxy Description of Independent

and Explanatory VariablesCode Signs

DV Removal of Oil Subsidy on Petroleum Products

Dependent variable ROSPP =

Ho1 Consumption of Petroleum Products by Manufacturing Firms

Explanatory variable CPPMF +

Ho2 Reduction in Energy-Intensive and increased Labour- Intensive Production among the Manufacturing Firms

Explanatory variable REiILiPMF +

Page 48: Evaluation of the impact of oil subsidy removal on manufacturing firms in south east

Ho3 Volume of Petroleum Products among the Manufacturing Firms

Explanatory variable VPPMF +

Ho4 Cost of Production and Profit among the Manufacturing Firms

Explanatory variable CPPMF +

Ho5 Efficient Management of Resources among the Manufacturing Firms

Explanatory variable EMRMF +

Ho6 Investments in Alternative Energy by the Manufacturing Firms

Explanatory variable IAEMF +

Source: Field Study (2015)

Page 49: Evaluation of the impact of oil subsidy removal on manufacturing firms in south east

References

Auer, K. V. (1996). Capital Market Reactions to Earnings Announcements: Empirical Evidence on the Difference in the Information Content of IAS-based Earnings and EC-Directives-based Earnings, European Accounting Review, 5(4), 587-623.

Ball, R. and P. Brown (1968). An Empirical Evaluation of Accounting Income Numbers, Journal of Accounting Research, 6(2), 159-178.

Barth, M. (1991). Relative Measurement Errors Among Alternative Pension Asset and Liability Measures, The Accounting Review, 433-463.

Barth, M., W. Beaver and W. Landsman. (1998). Relative valuation roles of equity book value and net income as a function of financial health, Journal Accounting and Economics, 1-34.

Barth, M. E, Beaver, W.H. and W. R. Landsman (2000). The Relevance of Value Relevance Research, Journal of Accounting Research , 26 (2), 331-352

Barth, M. E., W.H. Beaver and W. R. Landsman (2001). The Relevance of the Value Relevance Literature for Financial Accounting Standard Setter: Another View. Journal of Accounting and Economics, 31(1-3), 77 - 104

Bernard, V. (1995).The Feltham-Ohlson Framework: Implications for Empiricists. Contemporary Accounting Research, (Spring), 733-747.

Biddle, G. C. and Lindahl, F. W. (1982). Stock Price Reactions to LIFO Adoptions: The Association Between Excess Returns and LIFO Tax Savings, Journal of Accounting Research, 20(2), 551-588.

Biddle, G. C. and Seow, G. S. (1991). The Estimation and Determinants of Associations Between Returns and Earnings: Evidence from Cross-industryComparisons, Journal of Accounting, Auditing and Finance, 6(2), 183-232

Beisland, A.E. ( 2009). Essays on the Value Relevance of Accounting Information, Working paper of Norwegian school of Economics and Business Administration.

Beisland, L. A, M. Hamberg and J. Novak (2010). The Value Relevance Across Industries: What Happened to the New Economy? http://www.fma.org/Prague/Papers/Value_Relevance_across_Industries.pdf, retrieved on 2nd September, 2015.

Brown, L.D. (1993). Earnings Forecasting Research: Its Implications for Capital Markets Research, International Journal of Forecasting, 9(1), 295-320.

Brown, S., K. Lo and T. Lys(1999). Use of R2 in Accounting Research: Measuring

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Changes in Value Relevance Over the Last Four Decades, Journal of Accounting and Economics, 28(2), 83-115.

Callao, S., B. Cuellar and J. I. Jarne (2006). International differences in Value Relevance of Accounting Data and Explaining Country Factors, International Journal of Accounting, Auditing and Performance Evaluation, 3(4), 387-408.

Chang, H., Y.Chen, C. Su and Y.Chang (2008). The Relationship between Stock Price and EPS:Evidence Based on Taiwan Panel Data, Economic Bulletin, 3(30), 1-12.

Francis, J. and K. Schipper, (1999). Have Financial Statements Lost Their Relevance? Journal of Accounting Research, 37(2), 319-352.

Grange r, C. and P. Newbold (1974). Spurious Regressions in Econometrics. Journal of Econometrics, 111-120.

Gronlund, N.E. and R. L. Linn, (1990). Measurement and Evaluation in Teaching, New York, Macmillan, 6th ed.

Guilford, J. P. and Frucher, B. (1973). Fundamental Statistics in Psychology and Education, McGraw Hill, New York.

Gujarati, D. (2003). Basic Econometrics, McGraw Hill, New York, 4th ed.

Mulford, C. W and Comiskey, E.E. (2002).  The Financial Numbers Game: Detecting Creative Accounting Practices. Hoboken: NJ: Wiley.

Mukherjee, C., H. White, and M. Wuyts, (1998). Econometrics and Data Analysis for Developing Countries, ed.P. Mosley, Priorities for Development Economics, Routledge, New York.

Myburgh, J. E. (2001). The Informativeness of Voluntary Disclosure in the Annual Reports of Listed Companies in South Africa, Meditari Accountancy Research, 9(1), 199-216.

Negah, M. (2008). Liberalisation and the value relevance of Accrual Accounting Information: Evidence from the Johannesburg Securities Exchange, Afro –Asian Journal of Finance and Accounting, 1(1), 81–104.

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Appendix I

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Research Questionnaire

8th September, 2015.

Dear Respondent,

The primary objective of this questionnaire is to obtain information on a study

"Evaluation of the Impact of Oil Subsidy Removal on Manufacturing Firms in South East,

Nigeria". Kindly complete this questionnaire as honestly as you can. I wish to assure you that

your answers will be treated with strict confidence and used mainly for the aforementioned

academic purpose.

Your anticipated co-operation is highly appreciated.

Yours sincerely,

The Researcher

Research Questionnaire

Page 52: Evaluation of the impact of oil subsidy removal on manufacturing firms in south east

Topic: "Evaluation of the Impact of Oil Subsidy Removal on Manufacturing Firms in South East, Nigeria".

Section A: Personal Data

Please tick appropriate response or fill the gap

1. Name of Company...........................................................................2. Sex of the Respondent: Male Female

3. Age: Below 20yrs 21-35yrs 36-50yrs4. Highest Academic Qualification:

HND B.Sc./B.A. MBA/M.Sc./MA PhD Other(specify)………………….

5. Professional Qualifications: ......................................................

6. Profession: Investment Adviser Stock broker Portfolio Manger Accountant Financial Consultant Other(specify)………………….

7. Work experience 1-5yrs 6- 10yrs Above 11 - 15 yrs above 16yrs

Please tick þ as appropriate.

Scale: Very Large Extent (5) Large Extent (4) Moderate Extent (3) Low Extent (2) Very Low Extent (1)

Section B: Removal of Oil Subsidy and its Impact

To what extent has the removal of oil subsidy on petroleum products affected the consumption of petroleum products by manufacturing firms in South East Nigeria? With reference to: S/N. Cost of Production and Profit 5 4 3 2 18. Turnover9. Gross profit10. Net operating expenses11. Profit after tax12. Earnings per share13. Dividend per share14. Dividend cover

Consumption of Petroleum Products 5 4 3 2 115. Very efficient and regular16. Efficient and regular17. Inefficient but not regular

   

 

v

   

Page 53: Evaluation of the impact of oil subsidy removal on manufacturing firms in south east

18. Inefficient but regular19. Very Inefficient and Irregular

Volume of Production 5 4 3 2 120. Value added from operations21. Bought-in materials and services22. Gross value added23. Retained volume for future growth24. Employees and enjoy enough volumeS/N. Efficient Management of resources 5 4 3 2 125. Planning 26. Organising 27. Controlling28 Coordinating29 Staffing30 Decision-making31 Budgeting

Reduction in Energy-intensive and Increase in Labour-intensive

32 Very high employment of equipment and capital33 Very high employment of equipment and labour34 Increase in Employment capacity

Please tick þ as appropriate. Scale: Very Large Extent (5) Large Extent (4) Moderate Extent (3) Low Extent (2) Very Low

Extent (1)S/N. Impact of Oil subsidy removal on manufacturing firms in South

East 5 4 3 2 1

35. To what extent has the removal of oil subsidy on petroleum products affected both the cost of production and profit of the manufacturing firms in South East of Nigeria?

36. To what extent has the removal of oil subsidy on petroleum products affected both the cost of production and profit of the manufacturing firms in South East of Nigeria?

Page 54: Evaluation of the impact of oil subsidy removal on manufacturing firms in south east

37. How has the removal of oil subsidy on petroleum products led to the reduction in energy-intensive manufacturing and increased labour intensive production among manufacturing firms in South East Nigeria?i. Strong Positive Reaction ii. Positive Reaction iii. Strong Negative Reaction iv. Negative Reaction v. No reaction 38. How has the removal of oil subsidy on petroleum products affected the volume of production among the manufacturing firms in South East Nigeria?

i. Strong Positive Reaction ii. Positive Reaction iii. Strong Negative Reaction iv. Negative Reaction v. No reaction

39. In what ways has the removal of oil subsidy on petroleum products led to more efficient management of resources among the manufacturing firm in South East of Nigeria?

i. Strong Positive Reaction ii. Positive Reaction iii. Strong Negative Reaction iv. Negative Reaction v. No reaction Please list the ways.

40. Please write your general comments about the value relevance of accounting information in Nigeria for investment decisions ………………………………………………..…..……………….………………………

   

   

   

Page 55: Evaluation of the impact of oil subsidy removal on manufacturing firms in south east

Appendix I: Annual Average Market Prices per kg of in Port Harcourt (2001-2012)Year Price (N) Rice Yam Garri Beef Meat2001 25 76.08 87.00 69.16 206.91 232.662004 48 105.79 85.29 72.66 318.75 281.872005 75 127.70 120.25 91.90 536.21 305.992006 75 164.50 170.10 96.60 791.66 376.662007 70 173.45 185.36 111.83 826.79 478.002008 70 192.50 292.00 123.50 877.00 1088.272009 65 192.33 300.00 98.50 481.00 456.002010 65 190.61 250.48 121.52 482.46 428.522011 65 170.61 138.49 126.79 958.08 994.202012 97 210.50 350.29 68.80 1250.00 1400.00

Table 2.1: Removal of Oil Subsidies in Nigeria from 1973-2012Year President Justification by government Old price New price1973 Yakubu Gowon 6.00k 8.45k1976 Murtala Mohammed 8.45k 9.00k1978 Oct 1, Olusegun Obasanjo 9.00k 15.37k1982 April 20 Shehu Shagari 15.30k 20.00k1986 March,31 Ibrahim Babangida Devaluation of the Naira 20.00k 39.50k

1988 Apri,10 Ibrahim BabangidaSubsidy is a burden to government’s purse 39.50k 42.00k

1989 Dec,19 Ibrahim Babangida 42.00k 60.00k1991 March,6 Ibrahim Babangida 60.00k 70.00k

1993 Nov,8 Ernest ShonekanSubsidy is primary budgetary burdens 70.00k N5.00

1993, Nov,22 Sani Abacha To gain public support N5.00 N3.251994 Oct,2 Sani Abacha N3.50 N15.001994 Oct,4 Sani Abacha Response to labour and public N15.00 N11.00

resistance

1998 Dec,20Abdulsalami Abubakar N11.00 N25.00

1999 Jan,6Abdulsalami Abubakar Response to labour and public N25.00 N20.00

resistance2000 June,1 Olusegun Obasanjo To eliminate waste N20.00 N30.00

2000 June,8 Olusegun ObasanjoRespond to labour and public resistance N30.00 N22.00

2002, Jan,1 Olusegun Obasanjo Free government funds N22.00 N26.00

2003 June 06 Olusegun ObasanjoEncourage foreign and local investment in upstream sector N26.00 N40.00

2003 Oct,1 Olusegun ObasanjoRespond to labour and public resistance N40 N34

2004 May,29 Olusegun Obasanjo N34 N50.00

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2005 Aug Olusegun Obasanjo N50.00 N65.002007 May,27 Olusegun Obasanjo N65 N752007 Umoru Musa Yar’adu Compassion for Nigerians N75 N652012 Jan, 1 Goodluck Jonathan N65 N141

2012 Feb Goodluck JonathanRespond to labour and public resistance N141 N97

2015 Goodluck JonathanPolitical consideration to win elections N87 N87

Source: Computed from Various Sources, 2015 (By the Researcher)


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