IDEAS home Printed from https://ideas.repec.org/a/taf/ragrxx/v61y2022i2p109-120.html
   My bibliography  Save this article

Private extension delivers productivity growth in pasture-based dairy farming in the Eastern Cape, 2012–2018

Author

Listed:
  • Beatrice Conradie
  • Craig Galloway
  • Andrea Renner

Abstract

This study presents a novel way to measure the contribution of private extension to farm productivity for club data. Club data refers to any convenience sample obtained from a study group, consulting firm, cooperative or producer organisation. The study develops a stochastic frontier production function model with the inefficiency effects of pasture-based dairy farming in the Eastern Cape, South Africa. The analysis for 2012–2018 involves 49 adopter farms, and controls for inter-calf period, nutrient use efficiency and the amount of extension contact. Results are robust to functional form specification and there is no evidence of frontier-shifting technical progress for the Cobb Douglas or translog model, but there is a clear productivity benefit to engaging with the private extension service provider working locally (adoption). Productivity rises at 0.91–1.06% p.a. over time and by 1.54–1.62% p.a. with each extra year of the extension. Large farms close to the private extension provider’s base of operations benefit most from being in the group. This case study is important because it documents productivity growth in the period since 2010 and puts the effect of extension on productivity growth back on the local research agenda.

Suggested Citation

  • Beatrice Conradie & Craig Galloway & Andrea Renner, 2022. "Private extension delivers productivity growth in pasture-based dairy farming in the Eastern Cape, 2012–2018," Agrekon, Taylor & Francis Journals, vol. 61(2), pages 109-120, April.
  • Handle: RePEc:taf:ragrxx:v:61:y:2022:i:2:p:109-120
    DOI: 10.1080/03031853.2022.2063143
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/03031853.2022.2063143
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/03031853.2022.2063143?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

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

    More about this item

    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:taf:ragrxx:v:61:y:2022:i:2:p:109-120. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/ragr20 .

    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.