IDEAS home Printed from https://ideas.repec.org/a/oup/erevae/v44y2017i1p99-120..html

A dynamic model of irrigation and land-use choice: application to the Beauce aquifer in France

Author

Listed:
  • Julia de Frutos Cachorro
  • Katrin Erdlenbruch
  • Mabel Tidball

Abstract

We set up a model of land-use and irrigation water choices to assess the impact of dry weather conditions and possible restriction policies on farmers' payoffs in the Beauce area in France. Given the informational context, we construct a dynamic two-period model in which farmers make conjectures on the water abstraction by other users and take into account variations in the height of the water table. We solve the problem using dynamic programming. We simulate different restriction policies, proposed in the literature and tested in the field. We show that these restrictions, although efficient with respect to hydrological criteria, result in serious economic losses for the farmers.

Suggested Citation

  • Julia de Frutos Cachorro & Katrin Erdlenbruch & Mabel Tidball, 2017. "A dynamic model of irrigation and land-use choice: application to the Beauce aquifer in France," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 44(1), pages 99-120.
  • Handle: RePEc:oup:erevae:v:44:y:2017:i:1:p:99-120.
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1093/erae/jbw005
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to look for a different version below or

    for a different version of it.

    Other versions of this item:

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Julia de Frutos Cachorro & Lucia Sbragia, 2024. "Farmers' Adaptive Investments and Groundwater Resource Impact in a Changing Climate," UB School of Economics Working Papers 2024/475, University of Barcelona School of Economics.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    JEL classification:

    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • Q15 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Land Ownership and Tenure; Land Reform; Land Use; Irrigation; Agriculture and Environment
    • Q25 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Water

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:oup:erevae:v:44:y:2017:i:1:p:99-120.. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Oxford University Press (email available below). General contact details of provider: https://edirc.repec.org/data/eaaeeea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.