Estimation de la demande en eau d'irrigation sous incertitude
Abstract
[eng] Irrigation water demand estimation - In this paper, we considéra risk adverse farmer, facing sequential irrigation decisions under climatic uncertainty. In this complex framework, our goal is to estimate the irrigation water demand. The originality of this work lies, first, in the integration of a bio-simulation model (EPIC-Phase) into a programming model and, second, in the nonparametric estimation methods used. As a result we invalidate the literature's results on the subject. The irrigation water demand we get is not convex, which should have implications in terms of water policy. [fre] Dans cet article, nous considérons un agriculteur averse au risque, évoluant dans un contexte d'incertitude climatique, face à des décisions séquentielles d'irrigation. Dans ce cadre complexe, notre but est d'estimer la demande en eau d'irrigation. L'originalité de ce travail est d'une part, d'intégrer un modèle biophysique (EPIC-Phase), dans un modèle de programmation et d'autre part d'utiliser les méthodes non-paramétriques d'estimation. Au prix de cette complexité, nous invalidons les résultats de la littérature. En effet, la demande en eau d'irrigation que nous obtenons n'est pas convexe, ce qui devrait avoir des implications en termes de politique de l'eau.Download Info
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Article provided by Programme National Persée in its journal Économie rurale.
Volume (Year): 276 (2003)
Issue (Month): 1 ()
Pages: 17-24
Note: DOI:10.3406/ecoru.2003.5421
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Web page: http://www.persee.fr/web/revues/home/prescript/revue/ecoru
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Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.Cited by:
- Bonnal, Liliane & Favard, Pascal, 1999. "Prévisions de court terme du niveau des aquifères : le cas de la nappe de Beauce," Open Access publications from University of Toulouse 1 Capitole http://neeo.univ-tlse1.fr, University of Toulouse 1 Capitole.
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