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Estimation de la demande en eau d'irrigation sous incertitude

Author

Listed:
  • C. Bontemps

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

  • S. Couture

    (LEF - Laboratoire d'Economie Forestière - INRA - Institut National de la Recherche Agronomique - AgroParisTech)

  • P. Favard

Abstract

Les auteurs considèrent un agriculteur averse au risque, évoluant dans un contexte d'incertitude climatique, face à des décisions séquentielles d'irrigation. Dans ce cadre complexe, leur but est d'estimer la demande en eau d'irrigation. L'originalité de ce travail est d'une part, d'intégrer un modèle bio-physique (EPIC-Phase) dans un modèle de programmation et, d'autre part, d'utiliser les méthodes non paramétriques d'estimation. Au prix de cette complexité, les auteurs invalident les résultats de la littérature. En effet, la demande en eau d'irrigation qu'ils obtiennent n'est pas convexe, ce qui devrait avoir des implications en terme de politique de l'eau.

Suggested Citation

  • C. Bontemps & S. Couture & P. Favard, 2003. "Estimation de la demande en eau d'irrigation sous incertitude," Post-Print hal-01072926, HAL.
  • Handle: RePEc:hal:journl:hal-01072926
    Note: View the original document on HAL open archive server: https://hal.archives-ouvertes.fr/hal-01072926
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    Cited by:

    1. Liliane Bonnal & Pascal Favard, 1999. "Prévisions à court terme du niveau des aquifères : le cas de la nappe de Beauce," Cahiers d'Economie et Sociologie Rurales, INRA Department of Economics, vol. 53, pages 75-91.
    2. Berbel, J. & Calatrava, J. & Garrido. A., 2007. "Water pricing and irrigation: a review of the European experience," IWMI Books, Reports H040611, International Water Management Institute.

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