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	Provedor de dados AgEcon (2) Autor Bontemps, Christophe (2) Couture, Stephane (2) Favard, Pascal (1) Palavra-chave Resource /Energy Economics and Policy (2) Agroeconomic modeling (1) Dynamic optimization (1) Irrigation management (1) Research Methods/ Statistical Methods (1) Risk and Uncertainty (1) Uncertainty (1) Mais... Tipo do documento Conference Paper or Presentation (2) Ano 2001 (1) 1999 (1) País United States (2) Idioma Inglês (2)		Ordenar por:  Relevância Autor Título Ano Registros recuperados: 2 Primeira ... 1 ... Última DYNAMICS AND UNCERTAINTY IN ENVIRONMENTAL AND NATURAL RESOURCE MANAGEMENT UNDER SCARCITY: THE CASE OF IRRIGATION AgEcon Bontemps, Christophe; Couture, Stephane. The objective of this paper is to study the problem of management of irrigation water. We analyse farmers' economic rules of tactical irrigation scheduling in a certain or uncertain environment under water scarcity. The optimal plans depend on uncertain weather conditions and expectations. We develop a dynamic economic model of irrigation water applications under certain or uncertain weather conditions and in the context of a limited total quantity of water. We program this economic model, introducing the agronomic model EPIC, which is used to obtain information on the crop yield. The model is used to explain the optimal irrigation management plan of corn in the area of Toulouse (France). This model improves water management and leads to substantial... Tipo: Conference Paper or Presentation Palavras-chave: Dynamic optimization; Irrigation management; Agroeconomic modeling; Uncertainty; Research Methods/ Statistical Methods; Resource /Energy Economics and Policy; Risk and Uncertainty. Ano: 1999 URL: http://purl.umn.edu/21504 IS THE IRRIGATION WATER DEMAND REALLY CONVEX? AgEcon Bontemps, Christophe; Couture, Stephane; Favard, Pascal. The seasonal irrigation water demand under uncertainty, which lies at the core of this paper, is still very roughly known. We know, however, that irrigated agriculture accounts for a large proportion of water use, especially in many water-scarce areas. In this paper, we estimate the irrigation water demand, for various climatic conditions characterizing the distribution of the necessarily stochastic, demand functions under uncertainty. We use a dynamic programming model to represent the farmer's decision program under uncertainty. A crop-growth simulation model (EPIC-PHASE), provides the response function to the decisions taken and climatic events and is linked to a CRRA utility function representing the farmer's objective function. This model is used... Tipo: Conference Paper or Presentation Palavras-chave: Resource /Energy Economics and Policy. Ano: 2001 URL: http://purl.umn.edu/20508 Registros recuperados: 2 Primeira ... 1 ... Última

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