IDEAS home Printed from
   My bibliography  Save this paper

Modeling Greenhouse Gas Emissions on Diversified Farms: The Case of Dairy Sheep Farming in Greece


  • Sintori, Alexandra
  • Tsiboukas, Kostas


Agricultural activity has been identified as a considerable source of Greenhouse Gas (GHG) emissions. Emissions from ruminant livestock farms are produced particularly due to CH4 emissions from enteric fermentation. Dairy sheep farming is the most important livestock production activity in Greece, characterized by a high degree of farm diversification. This paper addresses the issue of the evaluation of GHG emissions of Greek dairy sheep farms, through the use of a whole farm mathematical programming model that uses farm level data and optimizes total gross margin. Mathematical programming models are an appropriate tool, when addressing complex issues, such as GHG emissions. The analysis is undertaken on different farm types, instead of a representative farm, to account for the heterogeneity of the sheep farming activity. Thus, marginal abatement cost and appropriate mitigation strategies for diversified farms are determined. The results indicate that intensive farms cause few emissions per produced milk (2.7kg of CO2 eq). Also, the marginal abatement cost ranges among 51-64€/t for all types of sheep farms (at 20% abatement level). The model used in this analysis and the results it yields are useful to researchers and policy makers, who aim to design efficient mitigation measures.

Suggested Citation

  • Sintori, Alexandra & Tsiboukas, Kostas, 2010. "Modeling Greenhouse Gas Emissions on Diversified Farms: The Case of Dairy Sheep Farming in Greece," 84th Annual Conference, March 29-31, 2010, Edinburgh, Scotland 91812, Agricultural Economics Society.
  • Handle: RePEc:ags:aesc10:91812

    Download full text from publisher

    File URL:
    Download Restriction: no

    More about this item


    Environmental Economics and Policy;

    NEP fields

    This paper has been announced in the following NEP Reports:


    Access and download statistics


    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:aesc10:91812. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (AgEcon Search). General contact details of provider: .

    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 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.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.