IDEAS home Printed from https://ideas.repec.org/a/taf/deveza/v20y2003i2p293-305.html
   My bibliography  Save this article

An economic evaluation of area yield insurance for small-scale cane growers

Author

Listed:
  • Theresa Clover
  • Wilhelm Nieuwoudt

Abstract

In the past, crop insurance schemes have based indemnity payments on individual producers' yields. Insurance of individual yields does not cope efficiently with systemic risk and therefore fails in areas where crop yields are correlated across space. Area yield insurance provides an alternative and eliminates the problems of moral hazard and adverse selection associated with individual yield insurance. Area yield insurance therefore effectively copes with systemic risk. In this study, principles of area yield insurance were applied to yield data on small-scale cane growers in KwaZulu-Natal and used to calculate pure premium rates. The viability of a government-subsidised area yield insurance scheme for small-scale cane farmers was assessed in terms of affordability to the government, the farmers and private insurance companies. The empirical results obtained from this study indicate that such a scheme may pose great expense to the government and, as a result, may not be viable in South Africa. This topic needs further study, while other risk management strategies should also be considered.

Suggested Citation

  • Theresa Clover & Wilhelm Nieuwoudt, 2003. "An economic evaluation of area yield insurance for small-scale cane growers," Development Southern Africa, Taylor & Francis Journals, vol. 20(2), pages 293-305.
  • Handle: RePEc:taf:deveza:v:20:y:2003:i:2:p:293-305
    DOI: 10.1080/03768350302952
    as

    Download full text from publisher

    File URL: http://www.tandfonline.com/doi/abs/10.1080/03768350302952
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/03768350302952?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.

    Citations

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


    Cited by:

    1. Md. Monirul Islam & Shusuke Matsushita & Ryozo Noguchi & Tofael Ahamed, 2022. "A damage-based crop insurance system for flash flooding: a satellite remote sensing and econometric approach," Asia-Pacific Journal of Regional Science, Springer, vol. 6(1), pages 47-89, February.

    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:deveza:v:20:y:2003:i:2:p:293-305. 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/CDSA20 .

    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.