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Determinants of the Farmers? Conversion to Organic and Biodynamic Agriculture

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41110%2F14%3A65793" target="_blank" >RIV/60460709:41110/14:65793 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Determinants of the Farmers? Conversion to Organic and Biodynamic Agriculture

  • Original language description

    he aim is to assess selected determinants which influence the conversion of the Czech farmers from conventional to organic or biodynamic agriculture. We assess farm?s efficiency (calculated by SFA), whether farm obtains AEM or LFA payments, if the farmeris ?young? and the holding is a micro firm, and region. A random effects logistic regression model was estimated on the panel of Czech farms in 2005?2012. The results showed that efficiency of the farm is not a significant driver of conversion. On the other hand, the odds that the farm will change land management are significantly higher if it obtains subsidies. Also when the farm has < 10 employees and the farmer is > 40 years, the odds that it will switch are higher. If the farm is located Olomoucky´region or Vysocˇina the odds for conversion are lower. The research is financed from IGA the grant No. 11110/1312/3160 of FEM, CULS.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

  • CEP classification

    GA - Agricultural economics

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2014

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    AGRIS on-line Papers in Economics and Informatics

  • ISSN

    1804-1930

  • e-ISSN

  • Volume of the periodical

    2014

  • Issue of the periodical within the volume

    4

  • Country of publishing house

    CZ - CZECH REPUBLIC

  • Number of pages

    8

  • Pages from-to

    113-120

  • UT code for WoS article

  • EID of the result in the Scopus database