THE MACRO-MICRO APPROACH FOR THE EVALUATION OF PUBLIC POLICIES

Slides:



Advertisements
Similar presentations
SCIENCE,SUSTAINABLE AGRICULTURE AND RURAL DEVELOPMENT IN THE E.U.
Advertisements

Directorate for Food, Agriculture, and Fisheries 1 ORGANISATION FOR ECONOMIC CO-OPERATION AND DEVELOPMENT ORGANISATION DE COOPÉRATION ET DE DEVELOPMENT.
1. 2 Why are Result & Impact Indicators Needed? To better understand the positive/negative results of EC aid. The main questions are: 1.What change is.
EC 936 ECONOMIC POLICY MODELLING LECTURE 5: MODELS OF TRADE AND TRADE POLICY: CGE PERSPECTIVES ON TRADE LIBERALIZATION.
1 Public Economics South African research topics Andrew Donaldson National Treasury August 2009.
Zuzana Sarvasova National Forest Centre Zvolen
1 School of Oriental & African Studies Reducing Food Price Volatility for Food Security & Development: G20 Action December 2010 Andrew Dorward Centre for.
Ad Hoc Working Group on The World at 7 Billion and Beyond: Promoting a Forward-Looking Vision of People-Centred Development POSSIBLE ROLE FOR FAO relating.
Jozsef Popp Director Research Institute for Agricultural Economics Budapest „Vision of long-term agricultural and rural development in the EU” May 25-26,
Regoverning Markets Workshop, Warsaw Component 1 of the Regoverning Markets Programme TOR for the Polish Team Agata Malak-Rawlikowska.
PROJECT GCP/SYR/006/ITA – Phase II “Assistance for Capacity Building through Enhancing Operation of the National Agricultural Policy Center” seminar on.
Type Title Here Second level heading Third level heading CGE modelling at the department of Immigration and Border Protection Kasipillai Kandiah Migration.
IFC in the Agricultural Sector September Food Financial Crisis 1 SOURCE: World Development Report 2008: Agriculture for Development; World Bank.
The Choice for Agriculture A vision on the future of Dutch agriculture Gerrit Meester Ministry of Agriculture, Nature and Food Quality Utrecht, 24 February.
CAP Second Pillar: From structural policies to rural development Lecture 10. Economics of Food Markets Alan Matthews.
Choice of Ownership and the Reform of Rural Credit Cooperatives of China Rongrong Weng April 4th, 2006 Agriculture, Food and Resource Policy AGEC 630B.
Rural Poverty and Hunger (MDG1) Kevin Cleaver Director of Agriculture and Rural Development November 2004.
Sara Hsu.  Poverty measurement has changed from one of relative income gaps to multidimensional indices of poverty.  Poor are socially constructed phenomenon.
Methodologies in the trade and poverty research Lucian Cernat International Trade Division.
ISMEA MONITORING MARKET SYSTEM: FRUIT AND VEGETABLES PRICES OBSERVATORY An example of the Italian collection prices System Patrizio Piozzi Roma 19/12/2012.
FARMS MULTIFUNCTIONALITY AND HOUSEHOLDS INCOMES IN SUSTAINABLE RURAL DEVELOPMENT Session 4: Income and Employment of the Rural Household By Marco Ballin.
Connecting you to the future Developing a panel database for global energy-environment-economy modelling of climate change mitigation Terry Barker.
1. Trends and processes that may have high impact on food systems Climate Change Increasing Energy and Carbon Costs Decentralization Increasing Power of.
Statement of Findings August 30, From February through June 1999, representatives of multi-level public and private sectors convened to explore.
EC 936 ECONOMIC POLICY MODELLING LECTURE 7: CGE MODELS OF STRUCTURAL CHANGE AND ECONOMIC REFORM ECONOMIC REFORM.
© 2004 CRIF Group The role of credit information to support consumers and lenders ITALY Results of research 2004 Annual General Meeting and Conference.
Wilfrid Legg OECD Trade and Agriculture Belgian Association of Agricultural Economics 30 th Anniversary, Brussels, 1 April2010 Future Challenges for Agricultural.
© European Communities, 2007 Background Economic models are indispensable instruments to support policy-making by DG AGRI. Key topics for DG AGRI: reform.
Poverty and Social Impact Analysis: a User’s Guide – Economic tools Nairobi, 6-8 th December 2006.
CAPRI EC4MACS Kick Off meeting, Laxenburg, Peter Witzke, EuroCARE The role of EuroCARE and Bonn University in EC4MACS The role of EuroCARE.
FAO Project GCP/SYR/006/ITA Workshop - Damascus, 1-2 July 2008 Agriculture and Economic Reform in Syria: Impacts on Poverty and Inequality Benedetto Rocchi.
Consequences of a food security strategy for welfare, income distribution and land degradation: the Philippine case Ian Coxhead University of Wisconsin-Madison.
Ⓒ Olof S. Communication on the future of the CAP “The CAP towards 2020: meeting the food, natural resources and territorial challenges of the future” DG.
Assessing the Impact of CAP Reforms: policy issues and research challenges AgSAP Conference Egmond aan Zee, March 2009 Tassos Haniotis Head of Unit,
07/02/2011Rural Development in the CAP post RURAL DEVELOPMENT IN THE CAP POST 2013 Attila JAMBOR Assistant Professor Corvinus University of Budapest.
ISMEA MONITORING MARKET SYSTEM: FRUIT AND VEGETABLES PRICES OBSERVATORY An example of the Italian collection prices system Patrizio Piozzi Roma 19/12/2012.
The Organic Market Data in Italy and the possible networks Fabio Del Bravo Biofach, Nuremberg, February 13 th, 2013.
Agricultural Policy and Grasslands Jaak Herodes Estonian Farmers Federation.
Planning, preparation and conducting TQS in Tajikistan Agency on statistics under the President of Tajikistan.
The “Health Check” of the CAP reform: Impact Assessment DG for Agriculture and Rural Development European Commission.
A Collective Model of the Household Enterprise
Commission of the UE Genedec project (FP )
Rural-urban Migration and Poverty in Kenya: is Agriculture the Answer?
Antonella Finizia (Ismea) Riccardo Magnani (Cepii, Paris)
Social economy as an opportunity to deal with local problems
Rural-urban Migration and Poverty in Kenya: is Agriculture the Answer?
THE MACRO-MICRO APPROACH FOR THE EVALUATION OF PUBLIC POLICIES
Cost of Production: Uses and Users
University “Hasan Prishtina” – Faculty of Agriculture and Veterinary
SPERA General Equilibrium Approaches to Development SPERA
Agricultural Management Agricultural Products for human life need
Results Oriented Program Formulation
SPERA General Equilibrium Approaches to Development SPERA
SPERA General Equilibrium Approaches to Development SPERA
for sustainable growth »
Session 1 “Gender differentiated patterns of work”
A Collective Model of the Household Enterprise
Eudokia Balamou and Demetrios Psaltopoulos Department of Economics
Eudokia Balamou and Demetrios Psaltopoulos Department of Economics
Rural-urban Migration and Poverty in Kenya: is Agriculture the Answer?
Commission of the UE Genedec project (FP )
European Commission - Directorate General for Agriculture - A2
Eurostat Working Group Regional Statistics
The Impact of CAP Reform Using a General Equilibrium Model Disaggregated at the Regional Level Stefania Lovo, Riccardo Magnani, Eleonora Matteazzi,
Project Duration: 3 years
Commission of the UE Genedec project (FP )
Poverty and Social Impact Analysis: a User’s Guide – Economic tools
The CAP post-2013: statistical needs in the field of rural development
Stakeholder consultation on the CAFÉ baseline agricultural scenario
Position of the European Farmers on the changes and news within the new CAP François GUERIN | Second National Farmers meeting in Bulgaria 6 February.
Presentation transcript:

THE MACRO-MICRO APPROACH FOR THE EVALUATION OF PUBLIC POLICIES The ISMEA experience Antonella Finizia Pavia, 22nd October 2007

MAIN POINTS What is ISMEA Micro-macro approach The ISMEA models Macro simulations Work in progress Critical issues and conclusions

Institute of services for the agro-food markets WHAT IS ISMEA Institute of services for the agro-food markets Linked to the Italian Ministry for agricultural and food policy (MiPAAF), it is involved in: farm and agro-food market information (prices, production, consumption) studies and research on the agro-food chain financial and insurance services to farmers support to public decisions policy simulations technical assistance

The micro level: the farm household MICRO-MACRO APPROACH The micro level: the farm household The farm household can be considered as a macro-economy in miniature The family takes decisions about production and consumption economic dimension social dimension environmental dimension Family Farm

MICRO-MACRO APPROACH The micro-macro link The macro level can be obtained by aggregation from the micro level (zooming out) and vice versa A unique source of data is the basis for both the micro and the macro models The ISMEA Survey on socio-economic conditions of Italian agriculture was designed having in mind these theoretical model

MICRO-MACRO APPROACH The ISMEA survey Five surveys together Farm budget data Input/Output Time Use Budget Household Consumption Survey Household Income Survey The questionnaire modules were defined in coherence with other surveys (Inea, Istat, Bank of Italy), to integrate the information

MICRO-MACRO APPROACH The ISMEA survey Was designed to give all the information needed to evaluate the impacts of policy changes economic impact on farms (farm income) socio-economic impact on households (life style, welfare) 7 family farm typologies were defined, which represents different targets for economic policy

ISMEA MODELS The ISMEA Survey MEG ISMEA MEG-D ISMEA MEG-R ISMEA Macro simulations ISMEA I/O Tables focused on agro-food sectors SAM Farm/Household budgets Micro simulations (non behavioural) Households micro models Micro simulations (behavioural)

The Ismea CGE model peculiarities MACRO SIMULATIONS The Ismea CGE model peculiarities It is focused on the agro-food sector, which is very disaggregated: 23 sectors for Agriculture, Forestry and Fishery, 13 for food industry, 7 for other industries strictly linked to agriculture, 2 for services. the SAM distinguishes 7 types of farm households; 1 group rural households; 3 urban households classes it includes the CAP market policy tools

MACRO SIMULATIONS Which simulations? Policy simulations In 2004, MEG was used to evaluate the possible impacts of Luxembourg CAP reform simulating different decoupling options. We are now working to simulate the consequences of milk quotas abolition, with MEG-D. Our clients are mainly MiPAAF; Unions of farmers

MACRO SIMULATIONS Which simulations? Simulations of future competitive scenarios In 2005 and in 2007 different scenarios have been simulated to evaluate the competitiveness of Italian agriculture and food industry in 2015, considering different hypothesis for CAP, international prices and productivity evolution in the medium term. Our clients are: MiPAAF; Federalimentare (Food Industries Federation)

MACRO SIMULATIONS Which simulations? In 2007, an integration with GTAP CGE model has been experimented. A research regarding the role of three giants in the world market: Brazil, China, India, and the competitive scenarios for the Italian agro-food system. A conjunct INEA-ISMEA study about milk quota scenarios, commissioned by MiPAAF. International price variations generated by GTAP model are included in the shock for MEG-D exogenous variables.

WORK IN PROGRESS Macro simulations Updating the data-base Regionalisation, by construction of 3 SAM (North, Centre, South of Italy) and three integrated CGE models. Constant upgrading in modelling agriculture, following the deep evolution of the sector.

It is important to follow both the macro and micro approach. WORK IN PROGRESS From macro to micro In macro CGE models: farms don’t leave the market and don’t enter in the market (the “no production” option is not considered) Even partial use of factors (land, labour) is not possible Household members different choices can’t be described It is important to follow both the macro and micro approach. At micro level, we can better study the family behaviour in reaction to a shock.

CRITICAL ISSUES Data needs The existence of a gap between official statistics for agriculture and policy needs has now been recognized by EC and Eurostat The most important aspects are: Connections between agriculture and food industry Farm households characteristics and income estimations Links between the agro-food system and the rural economy Risk management in agro-food sector (market risks, credit, food safety)

CONCLUSIONS The approach conceived more than ten years ago is still modern and even more valid now that the CAP moves from market policy to rural policy. One positive aspect of our models is their flexibility, which consent to integrate in the macro models changes in policy tools (for example, decoupling) or to distinguish sectors or regions; this is possible because we have the microdata coming from a unique, coherent source. The demand of policy makers for quantitative evaluations is increasing and especially for analysis at regional and micro level. The integration of data sources at institutional level is a way to overcome the lack of information.