IDEAS home Printed from https://ideas.repec.org/a/oup/ajagec/v61y1979i3p476-481..html
   My bibliography  Save this article

Endogenous Input Prices in Linear Programming Models

Author

Listed:
  • Peter B. R. Hazell

Abstract

This paper provides a method for formulating linear programming models in which one or more factors have upward sloping supply schedules, and the prices of these factors are to be endogenously determined at either their competitive market equilibrium values or at the levels set by a monopsonist. The method for achieving these results utilizes the sum, over the relevant factor markets, of the producers' and consumers' surplus, and is an extension of existing methods for solving price endogenous models of product markets.

Suggested Citation

  • Peter B. R. Hazell, 1979. "Endogenous Input Prices in Linear Programming Models," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 61(3), pages 476-481.
    • Handle: RePEc:oup:ajagec:v:61:y:1979:i:3:p:476-481.
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.2307/1239433
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    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. McCarl, Bruce A., 1992. "Mathematical Programming For Resource Policy Appraisal Under Multiple Objectives," Working Papers 11888, Environmental and Natural Resources Policy Training Project.

    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:oup:ajagec:v:61:y:1979:i:3:p:476-481.. 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: Oxford University Press (email available below). General contact details of provider: https://edirc.repec.org/data/aaeaaea.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.