IDEAS home Printed from https://ideas.repec.org/a/ags/apstra/91134.html
   My bibliography  Save this article

Modeling Multifunctionality Of Agriculture At A Farm-Level: The Case Of Kerkini District, Northern Greece

Author

Listed:
  • Vassalos, Michael
  • Dillon, Carl R.
  • Freshwater, David
  • Karanikolas, Pavlos

Abstract

Multifuncionality has become a central concern at both conceptual and empirical levels. In this study, a comparative evaluation of the economic performance of conventional and multifunctional farms (mainly organic farms) was conducted for the Lake Kerkini region (North Greece) with the use of mixed integer non-linear programming method. The economic performance of farms was evaluated in terms of farm income, resource allocation, production level and production mix. The results indicate that multifunctional farms have overall better economic performance and young farm managers are keener to adopt multifunctional farming than the older ones. Differences between the model results and the observed facts are attributed to the structural characteristics of the farms, along with the CAP measures and the existence of multiple objectives, beyond maximization of net farm returns.

Suggested Citation

  • Vassalos, Michael & Dillon, Carl R. & Freshwater, David & Karanikolas, Pavlos, 2010. "Modeling Multifunctionality Of Agriculture At A Farm-Level: The Case Of Kerkini District, Northern Greece," APSTRACT: Applied Studies in Agribusiness and Commerce, AGRIMBA, vol. 4(3-4), pages 1-6.
    • Handle: RePEc:ags:apstra:91134
    DOI: 10.22004/ag.econ.91134
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/91134/files/9_Vassalos%20Modeling_Apstract.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.91134?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
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. J. Contreras & H. Lara & G. Nouel-Borges, 2019. "A mixed integer nonlinear programming model for biomass production," Operational Research, Springer, vol. 19(1), pages 39-57, March.

    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:91134. 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.