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Pressure Factors Affecting Lombardy Agricultural System: The Environmental Consequences Of The Fischler Reform

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  • Bulgheroni, Claudia
  • Sali, Guido
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    Abstract

    This paper presents a regional model, based on Positive Mathematical Programming, which aims to evaluate the consequences of Fischler reform on the agricultural sector of the Lombardy irrigated lowland (Northern Italy). The model main focus is to quantify the agricultural land use changes due to the farmers reaction to the CAP reform main issues, such as single payment, and to simulate possible scenarios for the future. The model takes into account also the Water Frame Directive principles, in order to combine the assessment of both CAP issues and the potential irrigation water supplies reduction, which could deeply affect the area. The model input are obtained by means of the integration between FADN and SIARL (Agricultural Information System of Lombardy Region) information, in order to fit the territorial dimension. The simulation results of 11 different scenarios are discussed.

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    Bibliographic Info

    Paper provided by European Association of Agricultural Economists in its series 109th Seminar, November 20-21, 2008, Viterbo, Italy with number 44827.

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    Date of creation: 13 Nov 2008
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    Handle: RePEc:ags:eaa109:44827

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    Related research

    Keywords: CAP modelling; Fischler Reform; Positive Mathematical Programming; Regional model; Water Frame Directive; Agricultural and Food Policy; Environmental Economics and Policy; Research Methods/ Statistical Methods; Q18; Q15; C61;

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    1. 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.
    2. Ottmar R�hm & Stephan Dabbert, 2003. "Integrating Agri-Environmental Programs into Regional Production Models: An Extension of Positive Mathematical Programming," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 85(1), pages 254-265.
    3. Thomas Heckelei & Hendrik Wolff, 2003. "Estimation of constrained optimisation models for agricultural supply analysis based on generalised maximum entropy," European Review of Agricultural Economics, Foundation for the European Review of Agricultural Economics, vol. 30(1), pages 27-50, March.
    4. Bartolini, F. & Bazzani, G.M. & Gallerani, V. & Raggi, M. & Viaggi, D., 2007. "The impact of water and agriculture policy scenarios on irrigated farming systems in Italy: An analysis based on farm level multi-attribute linear programming models," Agricultural Systems, Elsevier, vol. 93(1-3), pages 90-114, March.
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