IDEAS home Printed from https://ideas.repec.org/a/spr/anresc/v34y2000i2p305-313.html
   My bibliography  Save this article

The exclusion theorem under uncertainty: A review and generalization of recent contributions

Author

Listed:
  • Song-Ken Hsu

    (Department of Industrial Economics, Tamkang University, Tamsui, Taipei, Taiwan 251)

  • Lin-Ti Tan

    (Institute of Economics, Academia Sinica, Nankang, Taipei, Taiwan 115)

Abstract

This paper attempts to examine the validity of the exclusion theorem on a line under a stochastic environment in a more general context than prior studies. Our analysis shows that there are three key factors determining the intermediate or the corner location to be optimal; namely, including the type of uncertainty, the firm's attitude toward risk, and the convexity of the total transportation cost function. The main result is presented, and a comparison of our finding with those obtained by prior studies is then provided.

Suggested Citation

  • Song-Ken Hsu & Lin-Ti Tan, 2000. "The exclusion theorem under uncertainty: A review and generalization of recent contributions," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 34(2), pages 305-313.
    • Handle: RePEc:spr:anresc:v:34:y:2000:i:2:p:305-313
    Note: Received: July 1998/Accepted: January 1999
    as

    Download full text from publisher

    File URL: http://link.springer.de/link/service/journals/00168/papers/0034002/00340305.pdf
    Download Restriction: Access to the full text of the articles in this series is restricted
    ---><---

    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:spr:anresc:v:34:y:2000:i:2:p:305-313. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.