IDEAS home Printed from https://ideas.repec.org/p/ags/ugeocr/16721.html
   My bibliography  Save this paper

Benchmarking Organizational Performance Of University Extension: A Stochastic Frontier Approach

Author

Listed:
  • Lohr, Luanne
  • Park, Timothy A.

Abstract

A stochastic frontier model is used to explain the performance evaluation of U.S. university extension providers by organic producers. The model makes explicit the nonmanagerial factors that influence both performance ratings and performance efficiency, defined as achieving a rating as close to the "best" rating as possible. Results indicate that extension agents are performing at relatively high mean efficiency of 0.92, but that the average rating is relatively low at 2.66 on a four-point scale. Several sources of potential bias in ratings are identified as a way for managers to more accurately conduct individual performance assessments. Programmatic changes to emphasize more collaborative research and training are suggested by the positive effects on performance efficiency associated with farmer research commitment and production problem severity.

Suggested Citation

  • Lohr, Luanne & Park, Timothy A., 2004. "Benchmarking Organizational Performance Of University Extension: A Stochastic Frontier Approach," Faculty Series 16721, University of Georgia, Department of Agricultural and Applied Economics.
    • Handle: RePEc:ags:ugeocr:16721
    DOI: 10.22004/ag.econ.16721
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/16721/files/fs04006.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.16721?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

    ;

    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:ugeocr:16721. 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/daugaus.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.