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CIS Region Start-up meeting on implementation of the Global Strategy to Improve Agricultural and Rural Statistics Budapest 4-5 February 2015 Christophe.

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Presentation on theme: "CIS Region Start-up meeting on implementation of the Global Strategy to Improve Agricultural and Rural Statistics Budapest 4-5 February 2015 Christophe."— Presentation transcript:

1 CIS Region Start-up meeting on implementation of the Global Strategy to Improve Agricultural and Rural Statistics Budapest 4-5 February 2015 Christophe DUHAMEL, Global Office FAO

2 Outline Reminder on the Global Strategy How far are we in the implementation? Progress on the research component Funding

3 Reminder on the Global Strategy

4 How? Country assessments Sector Plans (SPARS) incl. Assessment Technical Assistance Training Addressing urgent needs Research: cost-effective methods; guidelines

5 How far in the implementation?

6 Governance Global governance put in place and functioning Regional mechanisms functioning Action plan extended: 2012-2016 > 2012-2017 Regional action plans: –Africa and Asia-Pacific operational –CIS to be endorsed by GSC –LAC, Near East to be finalised

7 Implementation at global level Coordination: improved with regional implementing partners New M&E framework, articulated with regions GS, umbrella for other TA initiatives Research component: >> Communication tools: e-bulletin, booklets, website

8 Implementation in the regions (1) Implementing partners: FAO regional office for TA, ESCAP/SIAP for Training (Asia) AfDB for TA, UNECA for Training (Africa) Regional Steering Committees c haired by Philippines and Sri Lanka (Asia) c haired by Ghana and Cabo Verde Regional Offices in place

9 Implementation in the regions (2) Country Assessments and In-Depth Country Assessments (IdCA) CA carried out in 2012-2013, used for selecting priority countries IdCA completed in 5 countries in Asia, 7 in Africa Support Strategic Plan for Agriculture and Rural Statistics (SPARS) “Light” SPARS (following IdCA) in Asia: Full SPARS in Africa Technical Assistance on new cost-effective methods to start following priorities identified through IdCA, SPARS evaluation

10 Implementation in the regions (3)

11 Training activities Coordination Africa/Asia (needs assessment, curricula, syllabus, e- learning material) Support to regional training centres Scholarships in Africa Training modules to be prepared Implementation in the regions (4)

12 Which progress on research?

13 OUTLINE Recall of goal of research programme Research activities for 2015 Focus on Minimum Set of Core Data / AGRIS

14 Goal of Research programme contribute to significant improvement in quality, reliability,cost- effectiveness of agricultural statistics in developing countries through: developing cost-effective methods (new methodological and technological developments) documenting, consolidating and disseminating good practices inputs for developing guidelines, handbooks and training materials for TA and Training

15 Research activities planned for 2015 NEW TO BE STARTED OR CONTINUED FROM 2014 MODALITY OF IMPLEMENTATION Framework for Agricultural Statistics Agricultural Integrated Survey (AGRIS) CONTINUEDConsultancy/GO Staff Improving methodologies for master sampling frames Field tests and software package, validation meeting CONTINUED GO staff, Consultancy, regional partners, pilot countries Final Handbook on Master Sampling Frame CONTINUEDCore drafting expert group

16 NEW TO BE STARTED OR CONTINUED FROM 2014 MODALITY OF IMPLEMENTATION Improving data collection methods Improving methods for estimating post harvest losses NEWGO staff Consultancy, subject FAO matter experts, countries New technology for field data capture, compilation (CAPI) CONTINUEDAgreement with WB/LSMS Improving methods for disseminating agricultural statistics NEWGO staff, Consultancy Improving methods for estimating livestock and livestock products NEWLetter of Agreement with UNE, Australia

17 NEW TO BE STARTED OR CONTINUED FROM 2014 MODALITY OF IMPLEMENTATION Improving food security statistics methods Improving methodology of Food Balance Sheets CONTINUEDConsultancy/FAO staff Improving methods for measuring food consumption CONTINUEDAgreement with WB/LSMS Improving methods for crops estimates Improvement of estimation of crop area, yield and production (pure stand, mixed, repeated, cont. cropping) + Horticultural Crops NEWLetter of Agreement with IASRI, India FAORAF/Horticultural crops Developing methods for estimating yields of root crops CONTINUEDAgreement with WB/LSMS

18 NEW TO BE STARTED OR CONTINUED FROM 2014 MODALITY OF IMPLEMENTATION Improving the methodology for using remote sensing Cost-efficiency of remote sensing in developing countries NEWConsultancy Methods for using existing land cover – land use data bases CONTINUEDFAO Staff/Consultancy Handbook on use of Remote Sensing in Agricultural Statistics (integration of methodological research conducted incl Geog. Information) NEWExpert Group Improving quality and use of administrative data CONTINUEDLetter of Agreement with Iowa State University (USA) and Makerere University (Uganda)

19 NEW TO BE STARTED OR CONTINUED FROM 2014 MODALITY OF IMPLEMENTATION Indicators and collection methods for small-scale fisheries Methodological developments for small-scale fisheries NEWFAO staff/Consultancy Forestry StatisticsNEWFAO staff/Consultancy Better integration of geographic information and statistics Spatial disaggregation, integration of geo. Info - geo-ref. survey data CONTINUEDConsultancy Knowledge sharing strategy development Developing a repositoryCONTINUEDGO Staff/Consultancy

20 Improving the methodology for data analysis Farm typologyNEWWAW/Consultancy Reconciliation Census-Surveys dataNEWFAORAF/Consultancy Determination of user's needs for decision-making NEWGO staff/Consultancy Indicators, collection methods for gender/youth-related data NEWFAO staff/Consultancy Improving rural statisticsNEWGO staff/Consultancy Indicators and collection methods agri-environment NEWFAO staff/Consultancy

21 OUTCOME OF RESEARCH ACTIVITIES IN 2015: TECHNICAL REPORTS EXPECTED IN 2015 Technical Report on Improving methods for linking area frames with list frames Technical paper on Spatial disaggregation, integration of geo. Info - geo- ref. survey data Technical Report on Cost-efficiency of remote sensing in developing countries Technical Report on improved methods for estimating Crop Area, Yield and Production of mixed, repeated, continuous crops Technical Report on Improved Methods for Estimating Livestock and Livestock Products Technical Report on reconciliation of agricultural census and survey data Technical Report on Determination of users data needs for decision making

22 OUTCOME OF RESEARCH ACTIVITIES IN 2015: MAJOR GUIDELINES EXPECTED IN 2015 Handbook on Master Sampling Frame Guidelines on Integrated survey framework Guidelines on AGRIS (Agricultural-Rural Integrated Survey) Handbook on SEAA-AFF Handbook on Methods for estimating cost of production Guidelines on improved methods for estimating Post-Harvest Losses Handbook of best practices on nomadic livestock estimates Guidelines for Compiling Food Balance Sheets Guidelines on Improved Methods for Estimating Crop Area/Yield of root crops Guidelines to improved methodology for using remote sensing Guidelines on Fisheries and Aquaculture in Census Framework Guidelines to improve quality and use of administrative data

23 Minimum Set of Core Data / AGRIS Reminder: Minimum Set of Core Data What has been improved Data structure and additional information Planning the data collection of MSCD Proposing a survey tool on Agricultural Holding sector: AGRIS Ensuring linkages between MSCD-WCA 2020-AGRIS items

24 Objectives of the Global Strategy: enabling countries to produce and disseminate on a regular basis a minimum set of reliable and comparable core economic, social and environmental data, using cost-effective methods The Minimum Set of Core Data = the first pillar of the Global Strategy to improve Agricultural and Rural Statistics within the purpose of integrating the Agricultural Statistics in the National Statistical System. Provide basic items as inputs for: the national accounts and global balances of supply demand for food and other agricultural products ; running of a multitude of indicators needed to monitor and evaluate development policies, food security and progress toward meeting the MDGs/SDGs Reminder: MSCD

25 Data structure and additional information Planning the data collection of MSCD Proposing a survey tool on Agricultural Holding sector: AGRIS Ensuring linkages between MSCD-WCA 2020-AGRIS items MSCD: What has been improved

26 DimensionsKey variables and items Economic Production of major national crops and Area Harvested*, livestock, aquaculture, fisheries and forestry products Trade; Resources : land use*, stock of animal*, employment, machinery*, Main inputs: use of water*, fertilizers* and pesticides*; seed and feed utilization Prices: producers’ and consumers’ prices; Agro-processing products: on food for self consumption, for sale or for other uses Final expenditure : public sources, private credit and household consumption, Rural infrastructure: irrigation and drainage equipment, storage, rural roads and telecommunication Social Urban and rural population, education level, employment status, household composition and family workers on the holding by sex and age Environmental Agricultural management practices concerning Tillage, Soil conservation and Agroforestry practices plus the resource items * Data Structure

27 Additional information Description Primary sources Agricultural Census and Population Census Surveys on Agriculture and specialized surveys such as Household income/expenditure, Industry, etc. Administrative records Target population, if possible Agricultural Holdings : household and non-household sectors Household Minimum frequency of data collection Every 1 year for current data Every 2-5 year for structural data Concepts, definitions and classifications International standards in line with the FAO World Census Program Data breakdownGeographical coverageSpecific Category Time Local Administrative Units: LAU1 = Country level LAU2 = State or Region LAU2 = Province or District or Village, etc. Crops by local variety livestock products by commodity household by sex Year Reference Metadata for each variable

28 Summary Table

29 Data structure and additional information Planning the data collection of MSCD Proposing a survey tool on Agricultural Holding sector: AGRIS Ensuring linkages between MSCD-WCA 2020-AGRIS items MSCD: What has been improved

30 Determine the national priorities of core items Frequency Identify Statistical Unit Holding (HH and non- HH sectors) Other (Admin. Records) Household Agric. Household No Yes 10 years Annual or Multiannual Agricultural Census Frequency 10 years Annual or Multiannual Household Surveys Population Census Surveys, AGRIS How to plan the data collection of MSCD

31 Data structure and additional information Planning the data collection of MSCD Proposing a survey tool on Agricultural Holding sector: AGRIS Ensuring linkages between MSCD-WCA 2020-AGRIS items MSCD: What has been improved

32 The Agricultural and Rural Integrated Survey (AGRIS) A methodology for a standardized multipurpose and modular survey on Agricultural Holding sectors, which aims at collecting MSCD and other relevant agricultural and rural data on a regular basis Using methods and tools developed under the Global Strategy Building on and strengthening existing survey activities going on in countries

33 Modular Structure Core Module: yearly data collection on current agricultural production integrated with economic and socio-demographic statistics (the periodicity varies according to the Country practice) Rotating Module on Specific Topics data to collect every two, three years or four years (sub-samples can also be used) Statistical UnitsAgricultural Holdings : household sector and non-household sector FramesFor the non-Household sector the sampling basis could be the most appropriate list frame among the agricultural census and administrative registers For the Household sector, either an area frame (segments or points) or the Enumeration Areas derived from the Censuses (Agriculture or Population), or administrative areas (municipalities…). Sample designDesign fitted to the specific frame (use of MSF and ISF guidelines). Data collection process Use of GS data collection methods, including GPS, CAPI, RS AGRIS Structure

34 Strengthening the country capacity in planning and coordinating the national agricultural surveys program (ref: SPARS List Censuses-Surveys) Harmonizing sample frames in building a master sampling frame for all modules Improving the data quality by harmonizing the main sources, with the adoption of common international standards on concepts, definitions and classifications (CPC, SEEA, HS, etc.) in line with the recommendations of World Census Program 2020 Better use of resources such as the reduction of cost and time for the implementation and technical personnel training AGRIS advantages as an integrated survey framework approach

35 Data structure and additional information Planning the data collection of MSCD Proposing a survey tool on Agricultural Holding sector: AGRIS Ensuring linkages between MSCD-WCA 2020-AGRIS items What has been improved

36 Link between MSCD-WCA 2020-AGRIS items

37 Funding

38 Funding: the situation Total budget: 84 M USD, Total committed: 41 M USD Recently in negotiation with EU: 10 M USD for Africa Global Trust Fund put in place and disbursements made to regional implementing partners (UNECA, UNESCAP, AfDB, FAO) Still 3 regions without funding from Trust Fund: LAC, Near East, CIS - but support of the World Bank (CIS), IaDB (LAC) > Mid-term conference + Donors meeting June 2015 Rome

39 Thank You www.gsars.org christophe.duhamel@fao.org


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