IDEAS home Printed from https://ideas.repec.org/h/pal/intecp/978-1-349-08461-6_10.html
   My bibliography  Save this book chapter

Programming Models of Interregional Efficiency and Land Use in Agriculture

In: Activity Analysis in the Theory of Growth and Planning

Author

Listed:
  • Earl O. Heady

    (Iowa State University)

  • Narindar S. Randhawa

    (Iowa State University)

  • Melvin D. Skold

    (Iowa State University)

Abstract

Though it has not yet been applied widely for these uses, activity analysis is a promising aid for applications in agricultural policy and developmental planning. Programming models are especially well adapted to agriculture because of its spatial characteristics and its spread over the whole of nations. Also, the differential production and price functions which define comparative advantage of agriculture in various regions distinctly require empirical techniques which allow the consideration of many producing sectors, if attempt is made to define optimal allocations of production among regions, to specify preferred land-use patterns, or to express quantitative aspects of interregional competition. For policy and planning purposes, programming models are favoured because the goal ordinarily is one requiring changes in the regional origin of production and the general interregional mix of commodities produced. Regression and input-output models are hardly satisfactory in these analyses, as they can only suggest production patterns and commodity mixes which are tied closely to the past.

Suggested Citation

  • Earl O. Heady & Narindar S. Randhawa & Melvin D. Skold, 1967. "Programming Models of Interregional Efficiency and Land Use in Agriculture," International Economic Association Series, in: E. Malinvaud & M. O. L. Bacharach (ed.), Activity Analysis in the Theory of Growth and Planning, chapter 0, pages 245-268, Palgrave Macmillan.
    • Handle: RePEc:pal:intecp:978-1-349-08461-6_10
    DOI: 10.1007/978-1-349-08461-6_10
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    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:pal:intecp:978-1-349-08461-6_10. 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.palgrave.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.