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Spatially explicit farming system modelling for an efficient agri-environmental policy design

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  • Havlik, Petr
  • Bamiére, Laure
  • Jacquet, Florence
  • Millet, Guy

Abstract

A mathematical programming model is developed and associated to a spatial pattern index (Ripley L function) to analyse the optimal reserve design and implementation for the Little Bustard conservation in Plaine de Niort. The model structure corresponds to three spatial levels, fields, farm and landscape. Simple in terms of area representation, it is detailed in terms of farm behaviour and spatially explicit. The model is applied in a normative and in a positive way. The major findings of the normative approach relate to the trade-offs between the reserve pattern and its cost. It was found that the environmentally optimal reserve, which is randomly dispersed across the zone, is the most costly one. Within the positive approach, it is illustrated that the various reserve patterns generated within the normative approach can be obtained through relatively simple uniform contract structures. The most effective contract structure is a degressive set of two payments enabling the farms to enroll at least a small share of their land.

Suggested Citation

  • Havlik, Petr & Bamiére, Laure & Jacquet, Florence & Millet, Guy, 2008. "Spatially explicit farming system modelling for an efficient agri-environmental policy design," 2008 International Congress, August 26-29, 2008, Ghent, Belgium 44172, European Association of Agricultural Economists.
  • Handle: RePEc:ags:eaae08:44172
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    File URL: http://purl.umn.edu/44172
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    References listed on IDEAS

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    1. Falconer, Katherine & Hodge, Ian, 2001. "Pesticide taxation and multi-objective policy-making: farm modelling to evaluate profit/environment trade-offs," Ecological Economics, Elsevier, vol. 36(2), pages 263-279, February.
    2. van Wenum, J. H. & Wossink, G. A. A. & Renkema, J. A., 2004. "Location-specific modeling for optimizing wildlife management on crop farms," Ecological Economics, Elsevier, vol. 48(4), pages 395-407, April.
    3. Wossink, G. A. A. & de Koeijer, T. J. & Renkema, J. A., 1992. "Environmental-economic policy assessment: A farm economic approach," Agricultural Systems, Elsevier, vol. 39(4), pages 421-438.
    4. Veysset, P. & Bebin, D. & Lherm, M., 2005. "Adaptation to Agenda 2000 (CAP reform) and optimisation of the farming system of French suckler cattle farms in the Charolais area: a model-based study," Agricultural Systems, Elsevier, vol. 83(2), pages 179-202, February.
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    Cited by:

    1. Gosme, Marie & Suffert, Frédéric & Jeuffroy, Marie-Hélène, 2010. "Intensive versus low-input cropping systems: What is the optimal partitioning of agricultural area in order to reduce pesticide use while maintaining productivity?," Agricultural Systems, Elsevier, vol. 103(2), pages 110-116, February.
    2. Huber, Robert & Lehmann, Bernard, 2010. "Economies of Scope in the Agricultural Provision of Ecosystem Services: An Application to a High Cost Production Region," Journal of International Agricultural Trade and Development, Journal of International Agricultural Trade and Development, vol. 59(2).

    More about this item

    Keywords

    Biodiversity; spatial optimization; mathematical programming; Environmental Economics and Policy; Farm Management;

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