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| 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 |
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