Harmonised Approach for ARD Implementation Strategy:

common strategic framework, data and meta data template and diagnostic toolmeta data template and diagnostic tool

Ivo Havinga

United Nations Statistics Division/DESA

Presentation prepared for ICAS V

13-15 October

Kampala, Uganda

Outline of presentation• A. Introduction

– A.1 ARD Global Strategy– A.2 ARD Statistical Information System

• B. Common strategic framework and common structure of tools– B.1 Strategic framework from diagnosis, vision to programme– B.2 Tools: Data template, meta data template and diagnostic tool

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– B.2 Tools: Data template, meta data template and diagnostic tool• B.2.1 Data template

– Harmonized data template for ARD statistics

• B.2.2 Meta data template• B.2.3 Diagnostic tool

• C. Way forward

• Annex 1: Harmonized data template for ARD statistics – a preliminary version

• Annex 2: SDMX Meta data structure for data template

IntroductionARD Global Strategy

• Mandated by the United Nations Statistical Commission (UNSC) in recognition of a general decline in the quality and availability of agricultural rural development (ARD) statistics, especially in developing countries

• Coordinated by FAO with support from the World Bank

• Started in 2008 and completed in 2009, under the

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• Started in 2008 and completed in 2009, under the supervision of a UNSC Friends of the Chair Group, chaired by Eduardo Nunes of Brazil

• Approved by UNSC at its meeting in February 2010

• Friends of the Chair are now preparing an implementation plan to be presented to UNSC in 2011, which include the development of minimum core set of statistics for agriculture and rural development

IntroductionARD Statistical Information System

• Better statistics are fundamental to support evidence based monitoring and evaluation of growth and sustainable development for agriculture

• Better statistics are at the heart of achieving the Millennium Development Goals through improved monitoring and evaluation of poverty reduction and

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monitoring and evaluation of poverty reduction and well being of rural population and its dependence on agricultural growth and sustainable development

• Better statistics mean adopting an integrated statistics vision on economic statistics through a system wide approach, away from stove piping sectoral statistical systems

Common Strategic Framework

and Common Tools• Actively pursue harmonization of common strategic framework and

related tools across macroeconomic and sectoral statistical programs, including ARD as sectoral statistics

• Strategic framework: Adopt common system wide consultativeprocess:

– from diagnosis of current situation, through vision on remedying short comings to implementation of national and sectoral capacity building

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comings to implementation of national and sectoral capacity building programme

• Tool 1: Adopt common structure for data template of minimum core data set for national and sectoral structural and short term statistics

• Tool 2: Adopt common structure for meta data template for national and sectoral structural and short term statistics

• Tool 3: Adopt common structure for diagnostic tools for self assessment of strengths and weaknesses of national and sectoral statistical production process

Strategic FrameworkFrom Diagnosis, Vision to Programme

• Diagnosis and vision document /statistical agenda

– for improving the availability and quality of the basic economic statistics and institutional arrangements

– through system-wide consultation with stakeholders, policy planners and other users including the academia and business community

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academia and business community

– through a vision document for minimum core set of short-term and structural indicators

– with agreed human and financial resources and donor/external coordination

• Implementation program – based on vision document/statistical agenda with

agreed coordination and monitoring indicators

Tools: Data template, meta data template and

diagnostic tool

• In response to economic and financial crisis, UNSD and Eurostat in February 2009 initiated a series of three international seminars, Ottawa (May 2009), Scheveningen (December 2009) and Moscow (November 2010)

• Need for improved monitoring of the rapid and systemic

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• Need for improved monitoring of the rapid and systemic changes in the global real economy and the financial markets and the impacts on vulnerable countries and population groups.

• Series of three seminars recommend to UNSC 2011 an agreed data template for short term and structural statistics, related metadata structure, related diagnostic tool and related communication and dissemination methods and techniques

Common Structure forData Template

� Ottawa/Scheveningen seminar identified a data template

with 12 categories based on best practices: IMF- SDDS

template and Eurostat – Principal European Economic

Indicators (PEEI) template, now adopted by PGI Website

� Common structure with 12 categories: National

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� Common structure with 12 categories: National

accounts, production and turnover indicators, prices,

labour market indicators, sectoral indicators for the

external, financial, government, non-financial and

household sector, financial and real estate market

indicators, and economic sentiment indicators

� UN Global Assessment on Data Template determined

country practices on availability, timeliness, periodicity

and dissemination of indicators

Harmonized Data Template for ARD Statistics

• Rearranged ARD core data set by common data

domains, data categories and indicators (full details in

annex of presentation, few examples of data categories

in next slides) – first draft, further work to be done

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in next slides) – first draft, further work to be done

• Still to be determined for ARD core set: periodicity and

timeliness of data indicators, e.g. monthly/quarterly for

production, turnover and price indicators but annual for

national accounts

• Link with common meta data structure based on SDMX

standard

• Link with common diagnostic tool organised by

International Classification of Statistical Activities

Harmonized Data Template for ARD

Statistics (continued)

• Advantage:– Alignment of short term and structural ARD statistics

with national accounts and supporting short term and

structural statistics used for Implementation Program

of 2008 SNA and supporting statistics

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of 2008 SNA and supporting statistics

– Alignment of statistical production process of sectoral

ARD statistics and national accounts statistics

• By extension: adoption of common meta data and classifications, registers and frames, data sources, aggregation and integration framework (national accounts based), dissemination standards and institutional arrangements

Common Data Template for Economic Statistics Minimum Core Set of Statistics for Global Strategy for Agriculture and Rural Development

Set 1 National accounts Group of variables Key variables Core data items

1.1 Annual national accounts, early estimate

1.2 Annual national accounts, GDP full release

1.2.1 by expenditure Final expenditureFinal household

consumption

Food and other agro-processed products by

division

Final expenditureGross fixed capital Agricultural or forestry machinery and parts

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Final expenditureGross fixed capital

formation, private

Agricultural or forestry machinery and parts

thereof

Trade Exports of goodsCrops, livestock, forestry, fishery and aquacultural

products

Trade Imports of goodsCrops, livestock, forestry, fishery and aquacultural

products

1.2.2 by production Output Value addedCrop and animal production, forestry, fishing and

aquaculture

1.2.3 by income Income

Compensation of

employees/mixed

income

Crop and animal production, forestry, fishing and

aquaculture

Income Net operation surplusCrop and animal production, forestry, fishing and

aquaculture

IncomeConsumption of fixed

capital

Crop and animal production, forestry, fishing and

aquaculture

Common Data Template for Economic StatisticsMinimum Core Set of Statistics for Global Strategy for Agriculture and Rural

Development

Set 2 Production and turnover Group of variables Key variables Core data items

2.1Production index for industry, by major

division/sectionsOutput Industrial production Core divisions: agroprocessing industries

2.2 Production index for construction Rural infrastructure ConstructionCore divisions: construction for buildings and

dwellings, civil engineering

2.3Turnover index for retail trade by major

divisionFinal expenditure Turnover Core groups,classes: food products

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2.3division

Final expenditure Turnover Core groups,classes: food products

2.4 Turnover index for industry by major division Output Turnover Core divisions: agroprocessing industries

2.5Turnover index for other services by major

division

2.6New orders index for industry by major ISIC

division (for those that work on order)Output Core divisions: agroprocessing industries

2.7New orders index for construction (building

permits or housing starts)Rural infrastructure

Core divisions: construction for rural building

permits and housing starts

Common Data Template for Economic StatisticsMinimum Core Set of Statistics for Global Strategy for Agriculture and Rural

Development

Set 2 Production and turnover Group of variables Key variables Core data items

2.8 Commodity production (as relevant) Output Crops Core crop products

Output Livestock Core livestock products

Output Forestry Core forestry products

Output Fisheries Core fishery products

Output Forestry Core forestry products

Output Aquacultural products Core aquacultural products

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Output Aquacultural products Core aquacultural products

Output Processed food products Core agro-processed food products

Inputs Water Volume for irrgation

Inputs Fertilizers Core products

Inputs Pesticides Core products

Inputs Seeds Core crops

Inputs Feed Core crops

InputsMachinery and

equipment

Core agricultural or forestry machinery and

parts thereof

Common Data Template for Economic StatisticsMinimum Core Set of Statistics for Global Strategy for Agriculture and Rural

Development

Set 3 Prices Group of variables Key variables Core data items

3.1 Consumer price index Prices Consumer priceCore crops, livestock, forestry, fishery and

aquacultural products

3.2 Producer price index Prices Producer priceCore crops, livestock, forestry, fishery and

aquacultural products

3.3 Export price index Prices Export priceCore crops, livestock, forestry, fishery and

aquacultural products

3.4 Import price index Prices Import priceCore crops, livestock, forestry, fishery and

aquacultural products

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aquacultural products

Set 4 Labour market indicators

4.1 Unemployment

4.2 Unemployment rate

4.3 Employment total and by economic activity EmploymentTotal number of persons

employed

Core divisions: crop production, animal

production, forestry, fishing

4.4 Hourly wage rate

4.5 Hours of work

Common meta data structure based on

SDMX structure

• Short meta data structure for ARD statistics– to minimize burden of reporting (e.g. one page) linked to

comprehensive SDMX meta data structure (Annex 2)

• Chapters of ARD short meta data structure (proposed):– Statistical presentation (classification system, statistical

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– Statistical presentation (classification system, statistical concepts and definitions, base period)

– Institutional mandate (legal acts and agreements)

– Release policy (release calendar and user access)

– Frequency of dissemination

– Timeliness and punctuality

– Data revision (data revision – policy, data revision – practice)

– Statistical processing (source data, frequency of data collection, data collection, data validation, data compilation, data adjustment)

Diagnostic Tool: Approach

• System-wide approach:– for basic economic statistics and related

institutional environment

• Diagnostic approach:– for structured assessment of current strengths

and weaknesses of statistical production process

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– for structured assessment of current strengths and weaknesses of statistical production process

• Self assessment approach:– for national ownership of the global initiative for

the 2008 SNA implementation strategy

• Global and regional coordination approach:– for sharing self assessment for coordination and

monitoring of the regional and global program

Diagnostic Tool –Elements

• Information structure

– for planning, monitoring and evaluating the implementation other partners in statistical capacity building

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• UN International Classification of Statistical

Activities

– Apply its taxonomy of statistical activities

• for relevant economic, social and environment and institutional/managerial domains

Diagnostic Tool - Assessment of Statistical Production Process

• Statistical production process – OutputsDomain 2: Economic statisticsDomain 1: Income and expenditure of households and labor

statistics

• Statistical production process – Inputs

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• Statistical production process – Inputs• methodology for data collection, processing,

dissemination and analysisDomain 4.1 Metadata

Domain 4.2 ClassificationsDomain 4.3 Data sources

Domain 4.4 Data integration, editing and data linking

Domain 4.5: Dissemination and communicationDomain 4.6: Statistical confidentiality and disclosure protection

Domain 4.7 Data analysis

Diagnostic Tool- Assessment of

Statistical Production Process

• Statistical production process – Strategic managerial issues

• activities which are applicable to all statistical activities under domain 2 and some selected activities under domain 1

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Domain 5.1 Institutional framework and principles

Domain 5.2 Statistical programmes; coordination within national statistical systems

Domain 5.3: Quality framework and management of performance

Domain 5.4: Management and development of human resources

Domain 5.5: Management and development of technological resources (including standards for exchange and data sharing

Diagnostic Tool –Structure

• Structure of minimum set of core indicators:– Domain

– Data Category– Data Indicator(s): each indicator under these blocks has 2-6 quality

questions to assess its adequacy or otherwise as it exists in thesystem.

• Data category by economic activity

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• Data category by economic activity– Metadata and data reporting

– Statistical registers and censuses

– Surveys and administrative sources

– Technical cooperation and capacity building, priorities and plansfor improvements

• Data category by institutional sector– Metadata and data reporting– Technical cooperation and capacity building, priorities and plans

for improvements

Way forward

• Assess merits for Global ARD Implementation Program to harmonize and align its ARD information system with:

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• Common strategic system wide consultative approach

• Common data template structure for minimum data set of structural and short term statistics

• Common structure of meta data description

• Common structure of diagnostic tool

Annex I

Harmonized data template for ARD

statistics

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statistics – a preliminary version

Common Data Template for Economic Statistics Minimum Core Set of Statistics for Global Strategy for Agriculture and Rural Development

Set 1 National accounts Group of variables Key variables Core data items

1.1 Annual national accounts, early estimate

1.2 Annual national accounts, GDP full release

1.2.1 by expenditure Final expenditureFinal household

consumption

Food and other agro-processed products by

division

Final expenditureGross fixed capital Agricultural or forestry machinery and parts

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Final expenditureGross fixed capital

formation, private

Agricultural or forestry machinery and parts

thereof

Trade Exports of goodsCrops, livestock, forestry, fishery and aquacultural

products

Trade Imports of goodsCrops, livestock, forestry, fishery and aquacultural

products

1.2.2 by production Output Value addedCrop and animal production, forestry, fishing and

aquaculture

1.2.3 by income Income

Compensation of

employees/mixed

income

Crop and animal production, forestry, fishing and

aquaculture

Income Net operation surplusCrop and animal production, forestry, fishing and

aquaculture

IncomeConsumption of fixed

capital

Crop and animal production, forestry, fishing and

aquaculture

Common Data Template for Economic StatisticsMinimum Core Set of Statistics for Global Strategy for Agriculture and Rural

Development

Set 2 Production and turnover Group of variables Key variables Core data items

2.1Production index for industry, by major

division/sectionsOutput Industrial production Core divisions: agroprocessing industries

2.2 Production index for construction Rural infrastructure ConstructionCore divisions: construction for buildings and

dwellings, civil engineering

2.3Turnover index for retail trade by major

divisionFinal expenditure Turnover Core groups,classes: food products

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2.3division

Final expenditure Turnover Core groups,classes: food products

2.4 Turnover index for industry by major division Output Turnover Core divisions: agroprocessing industries

2.5Turnover index for other services by major

division

2.6New orders index for industry by major ISIC

division (for those that work on order)Output Core divisions: agroprocessing industries

2.7New orders index for construction (building

permits or housing starts)Rural infrastructure

Core divisions: construction for rural building

permits and housing starts

Common Data Template for Economic StatisticsMinimum Core Set of Statistics for Global Strategy for Agriculture and Rural

Development

Set 2 Production and turnover Group of variables Key variables Core data items

2.8 Commodity production (as relevant) Output Crops Core crop products

Output Livestock Core livestock products

Output Forestry Core forestry products

Output Fisheries Core fishery products

Output Forestry Core forestry products

Output Aquacultural products Core aquacultural products

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Output Aquacultural products Core aquacultural products

Output Processed food products Core agro-processed food products

Inputs Water Volume for irrgation

Inputs Fertilizers Core products

Inputs Pesticides Core products

Inputs Seeds Core crops

Inputs Feed Core crops

InputsMachinery and

equipment

Core agricultural or forestry machinery and

parts thereof

Common Data Template for Economic StatisticsMinimum Core Set of Statistics for Global Strategy for Agriculture and Rural

Development

Set 3 Prices Group of variables Key variables Core data items

3.1 Consumer price index Prices Consumer priceCore crops, livestock, forestry, fishery and

aquacultural products

3.2 Producer price index Prices Producer priceCore crops, livestock, forestry, fishery and

aquacultural products

3.3 Export price index Prices Export priceCore crops, livestock, forestry, fishery and

aquacultural products

3.4 Import price index Prices Import priceCore crops, livestock, forestry, fishery and

aquacultural products

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aquacultural products

Set 4 Labour market indicators

4.1 Unemployment

4.2 Unemployment rate

4.3 Employment total and by economic activity EmploymentTotal number of persons

employed

Core divisions: crop production, animal

production, forestry, fishing

4.4 Hourly wage rate

4.5 Hours of work

Common Data Template for Economic StatisticsMinimum Core Set of Statistics for Global Strategy for Agriculture and Rural

Development

Set 5 External sector indicators Group of variables Key variables Core data items

5.1 Exports and imports (of goods and services) TradeExports and imports of

goods

Core crops, livestock, forestry, fishery and

aquacultural products

5.2International investment position (IIP),

specify balances and components

5.3 Official reserve assets

5.4External debt (by sector, maturity and

foreign currency)Debt

Official development

assistance

Agricultural sector related external debt,

including ODA

Set 6 Financial sector indicators

6.1 Central Bank net foreign assets

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6.2 Central Bank domestic lending Debt Domestic lending Agricultural sector related domestic debt

6.3 Central Bank reserve money

6.4 Depository corporations net foreign assets

6.5 Depository corporations domestic lending Debt Domestic lending Agricultural sector related domestic debt

6.6Depository corporations broad money

liabilities

6.7Other financial corporations balance sheet,

assets and liabilities by sectorDebt Domestic lending Agricultural sector related domestic debt

6.8 Financial corporate profits

6.9 Financial corporate debt

Common Data Template for Economic StatisticsMinimum Core Set of Statistics for Global Strategy for Agriculture and Rural

Development

Set 7 General government sector indicators Group of variables Key variables Core data items

7.1 RevenueGovernment

financeGovernment revenue

Agriculture sector related revenues: taxes on

agriculture and agri-processed domestic

goods, exports and imports.

7.2 ExpenseGovernment

financeGovernment expenditure

Agriculture sector related expenditure: goods

and services, subsidies, grants, social

benefit

7.3Net operating balance (= Revenue –

Expense)

7.4 Net acquisition of non-financial assetsGovernment

financeGovernment expenditure

Agriculture sector related expenditure:

strategic stocks, land and other assets

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7.5 Expenditure

7.6Net lending/net borrowing (= Revenue -

Expenditure)

7.7 Gross debt

Set 8 Household sector indicators

8.1 Household disposable income Income Disposable income Rural households

8.2 Household saving Income Saving Rural households

8.3 Household debt Debt Domestic borrowing Rural households

8.4Other as relevant: debt service and principal

payments

Common Data Template for Economic StatisticsMinimum Core Set of Statistics for Global Strategy for Agriculture and Rural

Development

Set 9 Non financial sector sector indicators Group of variables Key variables Core data items

9.1 Non-financial corporate profits

9.2 Non-financial corporate debt

9.3 Other as relevant

Set 10 Financial market indicators

10.1Interest rates, as relevant short and long

term money and bond market ratesMarket Interest rates Agricultural sector related interest rates

10.2Exchange rates, as relevant spot and

forward markets

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10.2forward markets

10.3 Nominal and real effective exchange rate

10.4 Stock market indicators Market Stock market index Agriculture and agroprocessing corporations

10.5 Others as relevant : spreads

Set 11 Real estate market indicators

11.1 Residential property price index

11.2 New house sales

11.3 Existing house sales

Common Data Template for Economic StatisticsMinimum Core Set of Statistics for Global Strategy for Agriculture and Rural

Development

Set 12 Sentiment indicators

12.1 Consumer confidence

12.2 Business confidence Sentiment Business confidence

Agri-based corporations: business situation,

production, sales, orders, employment,

prices

12.3 Composite Business Cycle Indicators

12.3.1 Leading Indicator

12.3.2 Coincident Indicator

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12.3.3 Lagging Indicator

Set 13 Agri-environmental indicators

Environment Soil degradation

Environment Water pollution

Environment Air emission

EnvironmentArea harvested and

planted Crop production

EnvironmentYield/productivity of

area harvestedCrop production

Stock of resources Land cover and use Land area

Stock of resources Livestock Core live animals, number

Stock of resources Machinery Core machinery and equipment, number

Annex 2

SDMX Meta data Structure for Data Template

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Template

Meta data template- SDMX

Structure description• Statistical presentation (Data description, Classification

system, Sector coverage, Statistical concepts and definitions, Statistical units, Statistical population, Reference area, Time coverage, Base period)

• Unit of measure

• Reference period

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• Reference period

• Institutional mandate (Legal acts and agreements, Data sharing)

• Confidentiality (Policy, Data treatment)

• Release policy (Release calendar, Release calendar access, User access)

• Frequency of dissemination

• Dissemination format (News release, Publication, On-line database, Micro data access, Other)

Meta data template- SDMX

Structure description• Accessibility of documentation (Documentation on

methodology, Quality document, Quality management, Quality assessment)

• Relevance (User needs, User satisfaction, Completeness)

• Accuracy and reliability (Overall accuracy, Sampling error, Non-sampling error)

• Timelines and punctuality (Timeliness, Punctuality)

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• Timelines and punctuality (Timeliness, Punctuality)

• Comparability (Comparability –geographical, Comparability –overtime)

• Coherence (Coherence –cross domain, Coherence –internal)

• Data revision (Data revision-policy, Data revision-practice)

• Statistical processing (Source data, Frequency of data collection, Data collection, Data validation, Data compilation, Data adjustment)