Methodology for collecting information and conducting

Methodology for collecting information and conducting country analysis of the agricultural policies and their state of harmonisation with the CAP (Task 1)Dragi Dimitrievski, Aleksandra Martinovska Stojceska, Ana Kotevska, Ivana Janeska StamenkovskaAssociation of Agricultural Economists of the Republic of MacedoniaUniversity ss. Cyril and Methodius in Skopje, Faculty of Agricultural Sciences and Food - Skopje

“Study on the research, innovation and technology transfer capacities and on the recent agricultural policy developments in the context of

the EU approximation process in the pre-accession countries”

Kick-off meeting, Krusevo, 29 November 2019

Key Objectives and tasks• Overall objective (part 1 and 2):

• to collect information on agricultural policy developments in the WBs and Turkey,

• to conduct comparative cross-country analysis of the agricultural policies and their state of harmonisation with the CAP and

• to assess research, innovation and technology transfer capacities in the agri-food sector in the WBs.

• Specific objective (Task 1): • Analyses of agricultural policy developments in WB countries and

Turkey • Task 1.1: Collect information on agricultural policy developments in WB countries• Task 1.2: Provide country case studies on agricultural policy developments in the

WB countries • Task 1.3: Provide analyses of agricultural policy developments in Turkey • Task 1.4: Provide a comparative cross-country analysis of the agricultural policy

developments in the WB countries and Turkey

Development of the Agricultural Policy Monitoring tools through past projects

FP7 AgPolicy

(2008-2010)

FAO SWG TPC Project (2011-2013)

JRC SWG Project

(2014-2015)

JRC SWG Project

(2016-2017)

JRC SWG Project

(2017-2018)

JRC SWG Project

(2019-2020)

Agricultural Statistics DatabaseIvana Janeska Stamenkovska, Aleksandra Martinovska Stojceska





• Specific objective (Task 1): Analyses of agricultural policy developments in WB countries and Turkey

• Task 1.1: Collect information on agricultural policy developments in WB countries

• Task 1.2: Provide country case studies on agricultural policy developments in the WB countries

• Task 1.3: Provide analyses of agricultural policy developments in Turkey • Task 1.4: Provide a comparative cross-country analysis of the agricultural

policy developments in the WB countries and Turkey

Task 1.1 Collect information on AgPolicy Development –Contribute towards the monitoring of AgPolicy

• Checking, updating and use of agricultural statistics – data available

• Agricultural statistics include many different datasets describing the agricultural land use, production of crop and animal products, farm structures, prices, economic inputs and outputs…

• Comparable agricultural statistics from all countries are important in determining the development of agricultural policy.

• Use of common concepts and definitions across all countries.

• Agricultural structures and practices are changing fast – Therefore, not only the needs but also the available data are changing constantly.

• Need for statistical knowledge based design, implementation, monitoring and evaluation of the agricultural policy.

Use of Agricultural Statistics• Data

• Central role in decision-making, from obtaining overview of the agricultural policy impacts to setting targets in implementation, monitoring and evaluation of agricultural policy.

• The Economic Accounts for Agriculture are a basic tool for analysing the economic situation of a country's agriculture and make a valuable contribution to the calculation of the national accounts.

• Indicators

• Support decisions, and especially the follow-up, monitoring and evaluation; various indicators are used, often, but not always, based on statistical data. These indicators include context, impact, result and output indicators.

• Benchmarking, international comparisons, EU integration requests/harmonisation.

Structure of the Ag statistics databaseContent sheet – description of datasets and symbols used in the datasets

1- Key general statistics

2- Key agricultural statistics

3- Farm structure

4- Agricultural production (4.1-Crop production; 4.2-Livestock production)

5- Prices (5.1-Output prices; 5.2-Ag. output prices indices; 5.3-Ag.input prices indices)

6- Economic Accounts for Agriculture

7- Agro-food trade (7.1-Exports; 7.2-Imports; 7.3-Trade balance; 7.4-Regional breakdown)

8- Agricultural policy (8.1- DP schemes and input subsidies; 8.2-Budgetary support according APMC; 8.3-Budgetary support according OECD/PSE classification)

Additional data to be collected:

• Socio-economic data (rural population, employees, wages, education, gender, migration, applications for support, …)

• Organic production

• RD measures

AL BA KO ME MK RS

General statistics

InStat, Bank of AL, EUROSTAT (GDP per cap/PPS)

ASBH, Central Bank of BH, EUROSTAT (GDP per cap/PPS)

Central Bank of Kosovo (unemployment rate, inflation), SOK, EUROSTAT

MONSTAT, EUROSTAT (GDP per cap/PPS)

SSO, NBRM, EUROSTAT

SORS, NBRM, EUROSTAT

Agricultural statistics

InStat, General Directory of customs, Ministry of agric., food and consumer., protection (Stat. yearbook)

ASBH; Federal Office of Statistics; Statistical Institute of the Republika Srpska; Statistical office of District Brcko; Chamber of Commerce of Bosnia and Herzegovina

SOK, Green Report Kosovo

MONSTAT, Ministry of Agriculture. Forestry and Water Management (trade) SSO SORS

Farm structure MISSING MISSINGSOK (Agriculture Census 2014)

MONSTAT (Agricultural Census 2010)

SSO (Farm structure survey 2013, 2016, Typology and structure of agricultural holdings, 2013, 2016) SORS

Agricultural production

Ministry of Agriculture, Food and Consumer Protection (Statistical Yearbooks)

Agency for Statistics of BH; Federal Office of Statistics; Statistical Institute of the Republika Srpska; Statistical office of District Brcko

Green Report Kosovo, SOK MONSTAT SSO SORS

Prices

Ministry of Agriculture, Food and Consumer Protection (Statistical Yearbooks)MISSING Price Indecies ASBH

Department of Economic Analysis and Agricultural Statistics within MAFRD, SOK MISSING SSO SORS

Economic accounts for agriculture MISSING MISSING SOK MISSING SSO SORS

Agro-food trade InStatChamber of Commerce of Bosnia and Herzegovina

SOK (External Trade Statistics)

Ministry of Agriculture, Forestry and Water Management SSO SORS

Agricultural policy APM APM APM APM APM APM

Period:2010-2019

• WB-Update to 2019

• TR-2010-2019

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Agricultural Policy Measure Classification (APMC) ToolAna Kotevska, Dragi Dimitrievski

The concept behind APMC

• Agricultural Policy Measure Classification (APMC)

• Concept and tool (Rednak and Volk, 2010, 2018)

• Uniform classification of the agriculture policy measures combining the EU CAP pillar concept and the OECD classification (PSE).

• Application and contribution

• Consistent and reliable policy measures database

• Comparable approach for policy evaluation at national and multi-national level

• Comprehensive approach for evaluation of national policy harmonisation with the CAP

• 5 digit classification:

Section Division Sub-category 1 Sub-category 2 Sub-category 3

Pillar Axis Group Sub-group Basic heading

Key publications on the APMC development

• Rednak, M., and Volk, T. 2010. Agricultural policy measures template – A tool for classifying and analysing agricultural policy measures. In: Volk, T. (ed): Agriculture in the Western Balkan Countries. Halle (Salle): IAMO, pp. 219-245.

• Rednak, M., Volk, T., and E. Erjavec. 2013. A tool for uniform classification and analysis of budgetary support to agriculture for EU accession countries. Agricultural Economic Review. pp.77-96.

• Volk, T., Rednak, M., and Erjavec, E. 2014. Cross country analysis of agriculture and agricultural policy of Southeastern European countries in comparison with the European Union. In: Volk, T., Erjavec, E., and Mortensen, K. 2014. Agricultural policy and the European integration in Southeastern Europe. Budapest: FAO, 2014. pp. 9-38.

• Erjavec, E., Volk, T., and M. Rednak. 2016. State of the art and trends of agricultural policy in EU acceding countries from the Western Balkans. (Methodological notes). In: Bajramović, N., et al. 2016. Analysis of the agricultural and rural development policies of the Western Balkan countries. EUR 27898 EN, Joint Research Centre, European Commission, pp. 15-16.

• Volk, T., Rednak, M., and E. Erjavec. 2017. Agricultural policy developments in Western Balkan countries —regional synthesis. (Database and methodological notes). In: Volk, T., E. Erjavec, P. Ciaian, S. Gomez y Paloma(eds.) (2017), Monitoring of agricultural policy developments in the Western Balkan countries, European Commission, Joint Research Centre, EUR 28527 EN, pp.

• Volk, T. et al. 2019. Agricultural policy developments and EU approximation process in the Western Balkan countries. EUR 29475 EN, Publication Office of the European Union, Luxembourg, pp. 19.

Most detailed

explanation on concept

and tool

Get to know the toolInput sheets Supporting sheets Output sheets – Tables Output sheets - Graphs

User INFORM APM code APM sum APM_Graph

Glossary PROD code PSE by commodity Groups_Graph

APM Data PSE code APM_Table Commodity_Graph

PSEb_Table

The main INPUT sheet

USER INFORM!Read the manual! User INFORM• information on classification concept

• the process of filling-in the APM tool • input cells to customize the output tables

Yellow input cells

GlossaryTo ease and support the national use, once it is translated ☺

APM DATA- main inputs sheet.Text input cells:

white cells column I, K and NValue Input cells:

white cells in column AA: DZ

Yellow input cells

Row 7!

Tips• Sources:

• Governmental budgetary plans, policy programs and regulations (for detailed information of measures),

• Reports on their implementation of agricultural and national budgets, local community transfers, donor transfers etc. (based on actual realized transfers!)

• Period: 2010 – 2019 (WB update for 2018-2019; TR 2010-2019)

• Allocation of measures: Go through the Decision tree

• Filling in the APM Data: Read the user INFORM

• Look for the in every sheet

• Do not enter text or values in cells not intended or that (see User Inform)

• Do not change font or cells colours in the APM Data sheet!

DecisionTree

Source:

Rednak, M., and Volk, T. 2010.

Rednak, M., Volk, T., and E. Erjavec. 2013.

Supporting sheetsComplete list of :• APMC codes and terms• commodities codes and names• OECD PSE/GSSE/CSE categories (acronyms, terms and definitions)

Output aggregate tablesAPM sum: Total budgetary transfers by all APMC codes and source of financing

PS by commodity: distribution of budgetary support to producers and its sub-groups by commodity codes.

APM_Table: Budgetary support to agriculture by APMC groups for standard time series.

PSEb_Table: Budgetary transfers to agriculture by OECD/PSE classification scheme for standard time series.

Output graphsUniform pre-defined aggregate

tables and graphs for ten-year time series

by various level of data grouping

Get to know the tool:Example APM_MK

Country case studiesAleksandra Martinovska Stojceska, Dragi Dimitrievski





• Specific objective (Task 1): • Analyses of agricultural policy developments in WB countries and

Turkey • Task 1.1: Collect information on agricultural policy developments in WB countries

• Task 1.2: Provide country case studies on agricultural policy developments in the WB countries

• Task 1.3: Provide analyses of agricultural policy developments in Turkey • Task 1.4: Provide a comparative cross-country analysis of the agricultural policy

developments in the WB countries and Turkey

Country case studies• Key objective: Agricultural policy development in the specific WB

countries + Turkey • State-of-affairs in the country’s agricultural policy • State of harmonisation with the current (and future) CAP• Policy related milestones, strategic documents and operational

framework of national policies • Expert assessment of the country’s agricultural policy framework and

recommendations

• Issue focus: Socio-economic aspects linked to agriculture and rural development

• Additional objective: Provide background for the comparative cross-country analysis of the agricultural policy developments in the WB countries and Turkey

• Unified approach: structure, methods used, ensuring comparability. Also in terms of presentation (layout, referencing, etc. - template)

Material and methods

• Literature review - formal policy documents, research studies and expert papers, personal communications

• Statistics and APM databases - follow the given format and guidelines, reference period 2010-2019

• Sources: statistical offices, payment agency, line ministries

• Expert assessment - national developments and comparative analysis with the EU CAP framework

Country case studies - structure

1. Introduction – macroeconomic situation, basic indicators of the state of the sector

2. Socio-economic issues underlying agriculture and rural development

3. National policy framework – aims and priorities, institutional framework

4. Measures and budgetary support of agriculture and rural development (plus focus on measures and funding supporting rural population resilience and reviving rural areas)

5. Approximation to the EU policy

6. Discussion, conclusions and recommendations - national level

Timeframe

Deadline Activity

December 13th, 2019 ✓ Templates for APM (newcomers) - SWG✓ Statistics database (updated) - AAEM/SWG✓ Country case studies (report structure) - AAEM

March 1st, 2020 Deliverance of first draft of completed APMs and statistics databases (each country)

March 15th, 2020 Deliverance of first draft of Country case studies (each country)

Mid-April, 2020 Interim meeting(Revised APMs/country case studies and draft synthesis report)

Communication via:

[email protected]

Documents

Methodology for collecting information and conducting