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Determinants of the Farmers’ Conversion to Organic and Biodynamic Agriculture

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  • Pechrova, M.

Abstract

The 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 farmer is “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 Olomoucký region or Vysočina the odds for conversion are lower. The research is financed from IGA the grant No. 11110/1312/3160 of FEM, CULS.

Suggested Citation

  • Pechrova, M., 2014. "Determinants of the Farmers’ Conversion to Organic and Biodynamic Agriculture," AGRIS on-line Papers in Economics and Informatics, Czech University of Life Sciences Prague, Faculty of Economics and Management, vol. 6(4), pages 1-8, December.
    • Handle: RePEc:ags:aolpei:196581
    DOI: 10.22004/ag.econ.196581
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    1. Läpple, Doris & Kelley, Hugh, 2013. "Understanding the uptake of organic farming: Accounting for heterogeneities among Irish farmers," Ecological Economics, Elsevier, vol. 88(C), pages 11-19.
    2. Wollni, Meike & Andersson, Camilla, 2014. "Spatial patterns of organic agriculture adoption: Evidence from Honduras," Ecological Economics, Elsevier, vol. 97(C), pages 120-128.
    3. Pitt, Mark M. & Lee, Lung-Fei, 1981. "The measurement and sources of technical inefficiency in the Indonesian weaving industry," Journal of Development Economics, Elsevier, vol. 9(1), pages 43-64, August.
    4. Willam Greene, 2005. "Fixed and Random Effects in Stochastic Frontier Models," Journal of Productivity Analysis, Springer, vol. 23(1), pages 7-32, January.
    5. Jondrow, James & Knox Lovell, C. A. & Materov, Ivan S. & Schmidt, Peter, 1982. "On the estimation of technical inefficiency in the stochastic frontier production function model," Journal of Econometrics, Elsevier, vol. 19(2-3), pages 233-238, August.
    6. Subal Kumbhakar & Efthymios Tsionas & Timo Sipiläinen, 2009. "Joint estimation of technology choice and technical efficiency: an application to organic and conventional dairy farming," Journal of Productivity Analysis, Springer, vol. 31(3), pages 151-161, June.
    7. Lohr, Luanne & Salomonsson, Lennart, 2000. "Conversion subsidies for organic production: results from Sweden and lessons for the United States," Agricultural Economics, Blackwell, vol. 22(2), pages 133-146, March.
    8. Läpple, Doris & Rensburg, Tom Van, 2011. "Adoption of organic farming: Are there differences between early and late adoption?," Ecological Economics, Elsevier, vol. 70(7), pages 1406-1414, May.
    9. Wheeler, Sarah Ann, 2008. "What influences agricultural professionals' views towards organic agriculture?," Ecological Economics, Elsevier, vol. 65(1), pages 145-154, March.
    10. Kerselaers, Eva & De Cock, Lieve & Lauwers, Ludwig & Van Huylenbroeck, Guido, 2007. "Modelling farm-level economic potential for conversion to organic farming," Agricultural Systems, Elsevier, vol. 94(3), pages 671-682, June.
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