IDEAS home Printed from https://ideas.repec.org/a/oup/erevae/v47y2020i3p1338-1365..html
   My bibliography  Save this article

Diversification economies in dairy farming – empirical evidence from Germany

Author

Listed:
  • Stefan Wimmer
  • Johannes Sauer

Abstract

This article explores how farm size is related to economic benefits from diversification. Using a data set pertaining to Bavarian dairy farms (2000–2014), we estimate an input distance function (IDF) to derive cost complementarities between distinct outputs. A Bayesian estimation technique is used to improve the theoretical consistency of the IDF. The results show that small dairy farms are more likely to benefit from diversification between milk and livestock production, while larger farms tend to benefit from diversification between milk and crop production. Both managerial and policy implications are discussed.

Suggested Citation

  • Stefan Wimmer & Johannes Sauer, 2020. "Diversification economies in dairy farming – empirical evidence from Germany," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 47(3), pages 1338-1365.
    • Handle: RePEc:oup:erevae:v:47:y:2020:i:3:p:1338-1365.
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1093/erae/jbaa001
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Stetter, Christian & Wimmer, Stefan & Sauer, Johannes, 2023. "Are Intensive Farms More Emission-Efficient? Evidence From German Dairy Farms," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 48(1), January.
    2. Stetter, Christian & Sauer, Johannes, 2022. "Agroforestry Adoption in the Face of Regional Weather Extremes," 96th Annual Conference, April 4-6, 2022, K U Leuven, Belgium 321173, Agricultural Economics Society - AES.
    3. K Hervé Dakpo & Laure Latruffe & Yann Desjeux & Philippe Jeanneaux, 2021. "Latent Class Modelling for a Robust Assessment of Productivity: Application to French Grazing Livestock Farms," Journal of Agricultural Economics, Wiley Blackwell, vol. 72(3), pages 760-781, September.
    4. Jean‐Paul Chavas & Doris Läpple & Bradford Barham & Emma Dillon, 2022. "An economic analysis of production efficiency: Evidence from Irish farms," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 70(2), pages 153-173, June.
    5. Ioannis Skevas, 2023. "A novel modeling framework for quantifying spatial spillovers on total factor productivity growth and its components," American Journal of Agricultural Economics, John Wiley & Sons, vol. 105(4), pages 1221-1247, August.
    6. Maximilian Koppenberg & Stefan Hirsch, 2022. "Output market power and firm characteristics in dairy processing: Evidence from three EU countries," Journal of Agricultural Economics, Wiley Blackwell, vol. 73(2), pages 490-517, June.
    7. Wenmei Liao & Jiawei Wang & Ying Lin & Yao Wang, 2021. "Chronic Illness and Income Diversification in Rural China," IJERPH, MDPI, vol. 18(7), pages 1-15, March.
    8. Chemerys, Vasyl & Dushka, Vitalii & Dorosh, Mariana & Maksym, Volodymyr, 2020. "Export potential of the livestock breeding industry of Ukraine," Agricultural and Resource Economics: International Scientific E-Journal, Agricultural and Resource Economics: International Scientific E-Journal, vol. 6(3), September.

    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:oup:erevae:v:47:y:2020:i:3:p:1338-1365.. 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: Oxford University Press (email available below). General contact details of provider: https://edirc.repec.org/data/eaaeeea.html .

    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.