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The Growth In Organic Agriculture: Temporary Shift Or Structural Change?

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  • Gardebroek, Cornelis
  • Jongeneel, Roelof A.

Abstract

This paper investigates the growth in the number of organic producers in the Netherlands. Using Bayesian techniques a logistic growth model explaining the share of organic farms is estimated. Prior information is used to estimate and compare three different models on the future of organic farming.

Suggested Citation

  • Gardebroek, Cornelis & Jongeneel, Roelof A., 2004. "The Growth In Organic Agriculture: Temporary Shift Or Structural Change?," 2004 Annual meeting, August 1-4, Denver, CO 20074, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    • Handle: RePEc:ags:aaea04:20074
    DOI: 10.22004/ag.econ.20074
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    References listed on IDEAS

    as
    1. F. R. Oliver, 1964. "Methods of Estimating the Logistic Growth Function," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 13(2), pages 57-66, June.
    2. John Geweke, 1999. "Using Simulation Methods for Bayesian Econometric Models," Computing in Economics and Finance 1999 832, Society for Computational Economics.
    3. John Geweke, 1999. "Using simulation methods for bayesian econometric models: inference, development,and communication," Econometric Reviews, Taylor & Francis Journals, vol. 18(1), pages 1-73.
    Full references (including those not matched with items on IDEAS)

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    Cited by:

    1. Zein Kallas & Teresa Serra & José Maria Gil, 2010. "Farmers’ objectives as determinants of organic farming adoption: the case of Catalonian vineyard production," Agricultural Economics, International Association of Agricultural Economists, vol. 41(5), pages 409-423, September.

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    Keywords

    Farm Management;

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