IDEAS home Printed from https://ideas.repec.org/p/ags/eaa116/95053.html
   My bibliography  Save this paper

Efficiency Cluster in Organic Grassland Farming in Germany – Methodological and Practical Implications

Author

Listed:
  • Lakner, Sebastian

Abstract

This paper investigates regional cluster of organic grassland farms with respect to technical efficiency. The data-base consists of organic grassland and mixed farms in Germany from 1994/95 to 2005/06. In a first step five inputs and one output are analyzed by means of a stochastic frontier production function, allowing for heteroscedasticity and technical effects. The selection of determinants of technical efficiency is based on location theory. Since organic farming has regional centers, technical efficiency (TE) of organic farms is found to be affected by regional variables (such as agglomeration effects). In a second step we identified regional clusters of organic farms and analyzed the technical efficiency of the regional clusters. The results show that organic farms in distinct regions show different efficiency performance - suggesting that there are agglomeration and urbanization effects in the organic market.

Suggested Citation

  • Lakner, Sebastian, 2010. "Efficiency Cluster in Organic Grassland Farming in Germany – Methodological and Practical Implications," 116th Seminar, October 27-30, 2010, Parma, Italy 95053, European Association of Agricultural Economists.
  • Handle: RePEc:ags:eaa116:95053
    as

    Download full text from publisher

    File URL: http://purl.umn.edu/95053
    Download Restriction: no

    References listed on IDEAS

    as
    1. Alfons Oude Lansink & Ky–sti Pietola, 2002. "Effciency and productivity of conventional and organic farms in Finland 1994--1997," European Review of Agricultural Economics, Foundation for the European Review of Agricultural Economics, vol. 29(1), pages 51-66, March.
    2. Michael Burton & Dan Rigby & Trevor Young, 1999. "Analysis of the Determinants of Adoption of Organic Horticultural Techniques in the UK," Journal of Agricultural Economics, Wiley Blackwell, vol. 50(1), pages 47-63.
    3. Jondrow, James & Knox Lovell, C. A. & Materov, Ivan S. & Schmidt, Peter, 1982. "On the estimation of technical inefficiency in the stochastic frontier production function model," Journal of Econometrics, Elsevier, vol. 19(2-3), pages 233-238, August.
    4. Aigner, Dennis & Lovell, C. A. Knox & Schmidt, Peter, 1977. "Formulation and estimation of stochastic frontier production function models," Journal of Econometrics, Elsevier, vol. 6(1), pages 21-37, July.
    5. Jaenicke, Edward C. & Goetz, Stephan J. & Wu, Ping-Chao & Dimitri, Carolyn, 2009. "Identifying and Measuring the Effect of Firm Clusters Among Certified Organic Processors and Handlers," 2009 Annual Meeting, July 26-28, 2009, Milwaukee, Wisconsin 49205, Agricultural and Applied Economics Association.
    Full references (including those not matched with items on IDEAS)

    More about this item

    Keywords

    Efficiency; Agglomeration Effects; Organic Farming.; Agribusiness; Agricultural and Food Policy; Community/Rural/Urban Development; Food Consumption/Nutrition/Food Safety; Labor and Human Capital;

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:ags:eaa116:95053. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (AgEcon Search). General contact details of provider: http://edirc.repec.org/data/eaaeeea.html .

    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.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with 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.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.