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La programmation mathématique positive dans les modèles d'exploitation agricole. Principes et importance du calibrage

Author

Listed:
  • Alexandre Gohin

    (ESR - Unité de recherche d'Économie et Sociologie Rurales - INRA - Institut National de la Recherche Agronomique)

  • Frederic Chantreuil

    (ESR - Unité de recherche d'Économie et Sociologie Rurales - INRA - Institut National de la Recherche Agronomique)

Abstract

La modélisation du comportement des agriculteurs par la programmation mathématique a une longue tradition en économie agricole. La programmation mathématique linéaire (PML) a longtemps prédominé mais la programmation mathématique positive (PMP) s'impose maintenant de plus en plus. La différence essentielle de la PMP par rapport à la PML réside dans la spécification de fonctions non linéaires, permettant ainsi de calibrer de manière exacte les modèles et d'éviter les discontinuités caractérisant les modèles PML et leurs résultats. Cet article présente tout d'abord les principes et la mise en oeuvre standard de la PMP. La discussion est ensuite centrée sur un aspect de cette approche, à savoir le calibrage des paramètres de comportement.

Suggested Citation

  • Alexandre Gohin & Frederic Chantreuil, 1999. "La programmation mathématique positive dans les modèles d'exploitation agricole. Principes et importance du calibrage," Post-Print hal-01931510, HAL.
    • Handle: RePEc:hal:journl:hal-01931510
    as

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