IDEAS home Printed from https://ideas.repec.org/a/ags/apstra/164802.html
   My bibliography  Save this article

Making agricultural support objective-oriented: a linear programming approach for Ukraine

Author

Listed:
  • Vysotskyi, Taras
  • Kovtun, Olena

Abstract

The overall aim of the paper is to analyse the distribution of state agricultural support in Ukraine with the purpose of drawing up proposals on how to make it more objective-oriented. The investigation is based on the results of a case study conducted in Zdolbuniv district3, in the Rivne region of Ukraine, where interviews with local agricultural experts were held. The research is founded on the Linear Programming (LP) methodological approach, which is applied to calculate an objective-oriented agricultural budget allocation. This approach also integrates judgements from district agricultural experts. The outcomes show that agricultural support should have been redistributed in a slightly different way from the district perspective. However, the calculated changes in most cases match with the overall development directions in the Ukrainian agricultural support policy. Furthermore, the developed model has proved to be a useful and, at the same time, quite simple tool in application support, and one which could have been used by the agricultural decision-makers in the process of the distribution of agricultural support.

Suggested Citation

  • Vysotskyi, Taras & Kovtun, Olena, 2013. "Making agricultural support objective-oriented: a linear programming approach for Ukraine," APSTRACT: Applied Studies in Agribusiness and Commerce, AGRIMBA, vol. 7(2-3), pages 1-5.
    • Handle: RePEc:ags:apstra:164802
    DOI: 10.22004/ag.econ.164802
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/164802/files/13_Vysotskyi.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.164802?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
    ---><---

    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:apstra:164802. 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: http://www.apstract.net/ .

    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.