IDEAS home Printed from https://ideas.repec.org/a/oup/erevae/v53y2026i1p341-373..html

Learning about best management practices: Theory and experimentation under the umbrella of crop insurance

Author

Listed:
  • Cécile Aubert
  • Yann Raineau
  • Marc Raynal

Abstract

Decision Support Systems (DSS) with embedded best management practices help reduce pesticide use. However, costly experimentation is necessary to learn about the quality of their data processing and recommendation models. We study farmers’ choices to try such a DSS. Due to order effects, learning can be inefficient and stop after inadequate recommendations, leading to crop losses. Subsidizing crop insurance conditional on DSS use is a cost-effective policy to foster experimentation. A 4-year living lab on-farm experiment involving French wine cooperatives, an insurer, and researchers supports our theoretical results on learning dynamics and provides additional insight into information requirements for subsidized green insurance.

Suggested Citation

  • Cécile Aubert & Yann Raineau & Marc Raynal, 2026. "Learning about best management practices: Theory and experimentation under the umbrella of crop insurance," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 53(1), pages 341-373.
  • Handle: RePEc:oup:erevae:v:53:y:2026:i:1:p:341-373.
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1093/erae/jbaf065
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    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:53:y:2026:i:1:p:341-373.. 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.