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Positive Mathematical Programming Approach for Ex-post Evaluation of Set Aside in Italy

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  • Arfini, Filippo
  • Donati, Michele
  • Zuppiroli, Marco
  • Paris, Quirino

Abstract

The purpose of this paper is to describe the characteristics of a model used for estimate the counterfactual effects of set aside policy in Italy. For this purpose it is used a regional model based on “positive” information contained in two different databases - FADN and IACSAGEA (an Italian administrative databank), and an evolution of PMP approach able to reproduce and properly simulate the entrepreneurial behaviour in each region. The paper clarifies in detail the procedure used in order to merge two different database and the main issue of the model useful for the proposed ex-post evaluation of relevant policy scenarios applied in agriculture.

Suggested Citation

  • Arfini, Filippo & Donati, Michele & Zuppiroli, Marco & Paris, Quirino, 2005. "Positive Mathematical Programming Approach for Ex-post Evaluation of Set Aside in Italy," 89th Seminar, February 2-5, 2005, Parma, Italy 231828, European Association of Agricultural Economists.
  • Handle: RePEc:ags:eaae89:231828
    DOI: 10.22004/ag.econ.231828
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    References listed on IDEAS

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    1. Quirino Paris & Christopher D. Easter, 1985. "A Programming Model with Stochastic Technology and Prices: The Case of Australian Agriculture," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 67(1), pages 120-129.
    2. Richard E. Howitt, 1995. "Positive Mathematical Programming," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 77(2), pages 329-342.
    3. Quirino Paris, 2001. "Symmetric Positive Equilibrium Problem: A Framework for Rationalizing Economic Behavior with Limited Information," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 83(4), pages 1049-1061.
    4. Quirino Paris & Richard E. Howitt, 1998. "An Analysis of Ill-Posed Production Problems Using Maximum Entropy," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 80(1), pages 124-138.
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