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Regional crop supply behaviour in the EU

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  • Jansson, Torbjorn
  • Heckelei, Thomas

Abstract

The objective of this paper is to present an evolution of PMP model suitable to estimate the revenue function and to provide price elasticity due to the variation of subsidies at farm level, especially if they are decoupled. This problem arises when individual data of farm households in a given region, coming from FADN, are used for implement PMP models finalized to policy analysis. This paper presents the theoretical background of the proposed innovations and empirical evidence on the basis of a sample of farms included in FADN database in Italy.

Suggested Citation

  • Jansson, Torbjorn & Heckelei, Thomas, 2008. "Regional crop supply behaviour in the EU," 2008 International Congress, August 26-29, 2008, Ghent, Belgium 44009, European Association of Agricultural Economists.
    • Handle: RePEc:ags:eaae08:44009
    DOI: 10.22004/ag.econ.44009
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    References listed on IDEAS

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    1. Thomas Heckelei & Hendrik Wolff, 2003. "Estimation of constrained optimisation models for agricultural supply analysis based on generalised maximum entropy," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 30(1), pages 27-50, March.
    2. Guyomard, Herve & Baudry, Marc & Carpentier, Alain, 1996. "Estimating Crop Supply Response in the Presence of Farm Programmes: Application to the CAP," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 23(4), pages 401-420.
    3. Heckelei, Thomas & Britz, Wolfgang, 2000. "Positive Mathematical Programming with Multiple Data Points: A Cross-Sectional Estimation Procedure," Cahiers d'Economie et de Sociologie Rurales (CESR), Institut National de la Recherche Agronomique (INRA), vol. 57.
    4. Heckelei, Thomas & Mittelhammer, Ronald C. & Jansson, Torbjorn, 2008. "A Bayesian Alternative To Generalized Cross Entropy Solutions For Underdetermined Econometric Models," Discussion Papers 56973, University of Bonn, Institute for Food and Resource Economics.
    5. Richard E. Howitt, 1995. "Positive Mathematical Programming," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 77(2), pages 329-342.
    6. McElroy, Marjorie B, 1987. "Additive General Error Models for Production, Cost, and Derived Demand or Share Systems," Journal of Political Economy, University of Chicago Press, vol. 95(4), pages 737-757, August.
    7. Lansink, Alfons Oude & Peerlings, Jack, 1996. "Modelling the New EU Cereals and Oilseeds Regime in the Netherlands," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 23(2), pages 161-178.
    8. 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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    Cited by:

    1. Kempen, Markus & Witzke, Peter & Pérez Domínguez, Ignacio & Jansson, Torbjörn & Sckokai, Paolo, 2011. "Economic and environmental impacts of milk quota reform in Europe," Journal of Policy Modeling, Elsevier, vol. 33(1), pages 29-52, January.

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    Keywords

    Crop Production/Industries;

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