This file is part of IDEAS, which uses RePEc data


[ Papers | Articles | Software | Books | Chapters | Authors | Institutions | JEL Classification | NEP reports | Search | New papers by email | Author registration | Rankings | Volunteers | FAQ | Blog | Help! ]

Irrigation water demand for the decision maker

Author info | Abstract | Publisher info | Download info | Related research | Statistics
Author Info
Bontemps, Christophe
Couture, St phane

Additional information is available for the following registered author(s):

Abstract

This paper deals with the problems of estimating irrigation water demand. We propose an original method of estimation in two steps. First, we develop a dynamic programming model in order to explain the optimal irrigation management plan. Based on a microeconomic approach describing the farmer s behavior, this economic model, introducing an agronomic model, and an algorithm of solution search, is used to compute a realistic database. Second, these data are used to estimate profit functions by a non-parametric method. The irrigation water demand function is estimated using a non-parametric derivation procedure.An application to irrigation water demand is proposed in the southwestern area of France where conflicts appear frequently. The same results appear for different climates: for small quantities of water available, irrigation water demand seems to be quite inelastic. If one increases the total quantity of water available, the shape of the curve changes and the demand appears more elastic. The threshold price at which the changes in price-responsiveness appears, depends on weather conditions and range from 0.30 F/m3 in a wet year to 1.60 F/m3 in a dry year. These results are crucial information for the regulator in order to analyze the effects of a water regulation policy, based on prices. The impact of an increase in the water price will depend not only on the climate but also on the location of the initial and final prices on the demand function.JEL classification: C14, C16, Q15

Download Info
To download:

If you experience problems downloading a file, check if you have the proper application to view it first. Information about this may be contained in the File-Format links below. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL: http://journals.cambridge.org/abstract_S1355770X02000396
File Format: text/html
File Function: link to article abstract page
Download Restriction: no

Publisher Info
Article provided by Cambridge University Press in its journal Environment and Development Economics.

Volume (Year): 7 (2002)
Issue (Month): 04 (October)
Pages: 643-657
Download reference. The following formats are available: HTML (with abstract), plain text (with abstract), BibTeX, RIS (EndNote, RefMan, ProCite), ReDIF
Handle: RePEc:cup:endeec:v:7:y:2002:i:04:p:643-657_00

Contact details of provider:
Postal: The Edinburgh Building, Shaftesbury Road, Cambridge CB2 2RU UK
Fax: +44 (0)1223 325150
Email:
Web page: http://journals.cambridge.org/jid_EDE

For technical questions regarding this item, or to correct its listing, contact: (Mike Eden).

Related research
Keywords:

Cited by:
(explanations, Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.)

  1. Moreno, Georgina & Sunding, David L. & Schoengold, Karina, 2004. "Panel Estimation Of Water Demand Based On An Episode Of Rate Reform," 2004 Annual meeting, August 1-4, Denver, CO 20342, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association). [Downloadable!]
Statistics
Access and download statistics

Did you know? Each page is provided with a technical contact, in case something is not right with the supplied information. See under "publisher info".

This page was last updated on 2009-12-15.


This information is provided to you by IDEAS at the Department of Economics, College of Liberal Arts and Sciences, University of Connecticut using RePEc data on a server sponsored by the Society for Economic Dynamics.