EconPapers    
Economics at your fingertips  
 

Estimation de la demande en eau d'irrigation sous incertitude

Christophe Bontemps, Stéphane Couture and Pascal Favard

Économie rurale, 2003, vol. 276

Abstract: 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.

Date: 2003
References: Add references at CitEc
Citations:

Downloads: (external link)
https://ageconsearch.umn.edu/record/355203/files/e ... 3_num_276_1_5421.pdf (application/pdf)

Related works:
Journal Article: Estimation de la demande en eau d'irrigation sous incertitude (2003) Downloads
Working Paper: Estimation de la demande en eau d'irrigation sous incertitude (2003)
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ags:ersfer:355203

DOI: 10.22004/ag.econ.355203

Access Statistics for this article

More articles in Économie rurale from French Society of Rural Economics (SFER Société Française d'Economie Rurale) Contact information at EDIRC.
Bibliographic data for series maintained by AgEcon Search ().

 
Page updated 2025-04-16
Handle: RePEc:ags:ersfer:355203