IDEAS home Printed from https://ideas.repec.org/p/hal/journl/hal-00359362.html
   My bibliography  Save this paper

Modelling the consumption of home-produced vegetables with an application to French households

Author

Listed:
  • France Caillavet

    (CORELA - Laboratoire de Recherche sur la Consommation - INRA - Institut National de la Recherche Agronomique)

  • Véronique Nichèle

    (CORELA - Laboratoire de Recherche sur la Consommation - INRA - Institut National de la Recherche Agronomique)

  • Jean-Marc Robin

    (LEA - Laboratoire d'Economie Appliquée - INRA - Institut National de la Recherche Agronomique, CREST - Centre de Recherche en Économie et Statistique - ENSAI - Ecole Nationale de la Statistique et de l'Analyse de l'Information [Bruz] - X - École polytechnique - ENSAE Paris - École Nationale de la Statistique et de l'Administration Économique - CNRS - Centre National de la Recherche Scientifique)

Abstract

The purpose of this paper is to study the trade-off between purchases and home production of food. We develop a simple household production model which predicts a zero elasticity of home production with respect to total expenditure. Focusing on vegetables, we use data from the 1991 French National Food Survey. Due to data limitations, a reduced form of the structural household production model is estimated. We use Working Leser functional forms for the share of vegetables in total food consumption and the share of home production in vegetable consumption, conditional on the decision to maintain a kitchen garden. As predicted by the theoretical model, we estimate a zero elasticity of home production with respect to total vegetable outlay

Suggested Citation

  • France Caillavet & Véronique Nichèle & Jean-Marc Robin, 1998. "Modelling the consumption of home-produced vegetables with an application to French households," Post-Print hal-00359362, HAL.
    • Handle: RePEc:hal:journl:hal-00359362
    DOI: 10.1093/erae/25.2.170
    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.

    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. Bougherara, Douadia & Grolleau, Gilles & Mzoughi, Naoufel, 2009. "Buy local, pollute less: What drives households to join a community supported farm?," Ecological Economics, Elsevier, vol. 68(5), pages 1488-1495, March.

    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-00359362. 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.