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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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    File URL: https://ageconsearch.umn.edu/record/20074/files/sp04ga04.pdf
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    References listed on IDEAS

    as
    1. 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.
    2. 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.
    3. John Geweke, 1999. "Using Simulation Methods for Bayesian Econometric Models," Computing in Economics and Finance 1999 832, Society for Computational Economics.
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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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