IDEAS home Printed from https://ideas.repec.org/p/hal/journl/hal-03634386.html
   My bibliography  Save this paper

Reducing pesticide use through optimal reallocation at different spatial scales: The case of French arable farming

Author

Listed:
  • Salomé Kahindo

    (CESAER - Centre d'Economie et de Sociologie Rurales Appliquées à l'Agriculture et aux Espaces Ruraux - UBFC - Université Bourgogne Franche-Comté [COMUE] - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement - Institut Agro Dijon - Institut Agro - Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement)

  • Stéphane Blancard

    (CESAER - Centre d'Economie et de Sociologie Rurales Appliquées à l'Agriculture et aux Espaces Ruraux - UBFC - Université Bourgogne Franche-Comté [COMUE] - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement - Institut Agro Dijon - Institut Agro - Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement)

Abstract

Reduction of pesticide use is one of the major challenges in the agricultural sector. Several methods, including efficiency analysis, have been proposed to address this issue. In general, efficiency analysis in the use of pesticides is conducted at the individual level (e.g., farm). We here propose to extend this analysis from farm level to aggregate (or district) level. In addition to the potential pesticide reduction by eliminating individual inefficiency, we measure the reduction due to the reallocation of productive activity across farms, within increasingly large spatial units. Results show that pesticides could be reduced by more than 50% in a sample of farms in the French Department of Meuse during 2014–2016, after eliminating individual technical inefficiency and reallocating activities across farms at the largest spatial unit, while producing at least the same output. Therefore, the reallocation associated with inefficiency elimination can help achieve the pesticide reduction targets set by several countries.

Suggested Citation

  • Salomé Kahindo & Stéphane Blancard, 2022. "Reducing pesticide use through optimal reallocation at different spatial scales: The case of French arable farming," Post-Print hal-03634386, HAL.
  • Handle: RePEc:hal:journl:hal-03634386
    DOI: 10.1111/agec.12703
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    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:hal:journl:hal-03634386. 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: CCSD (email available below). General contact details of provider: https://hal.archives-ouvertes.fr/ .

    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.