IDEAS home Printed from https://ideas.repec.org/p/ags/saeana/47115.html
   My bibliography  Save this paper

A Government Decision Model for Invasive Species: Choosing the Most Efficient Government Program for the Management of Livestock Diseases

Author

Listed:
  • Zhang, Yichen
  • Muhammad, Andrew
  • Coble, Keith H.

Abstract

The impact of invasive species has grown substantially in recent years as evident by the trends in government expenditures in response to outbreaks. In this paper, authors analyze advantages and disadvantages of current government compensation measures for invasive species. The conceptual models are built to describe the relationship between producers’ utility and the effect of adoption of different measures under different observability condition. As a case study, a survey is designed to analyze producer behavior in mitigating AI & END outbreaks.

Suggested Citation

  • Zhang, Yichen & Muhammad, Andrew & Coble, Keith H., 2009. "A Government Decision Model for Invasive Species: Choosing the Most Efficient Government Program for the Management of Livestock Diseases," 2009 Annual Meeting, January 31-February 3, 2009, Atlanta, Georgia 47115, Southern Agricultural Economics Association.
  • Handle: RePEc:ags:saeana:47115
    DOI: 10.22004/ag.econ.47115
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/47115/files/SAEA%20202009Yichen-edited-kc-am.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.47115?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
    ---><---

    More about this item

    Keywords

    Agricultural and Food Policy;

    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:saeana:47115. 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: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/saeaaea.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.