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Are Organic Farms Less Efficient? The Case of Estonian Dairy Farms

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  • Fertő, Imre
  • Bakucs, Zoltán
  • Viira, Ants-Hannes
  • Aleksandrova, Olha
  • Luik-Lindsaar, Helis
  • Omel, Raul

Abstract

The paper investigates the technical efficiency of conventional and organic dairy farms in Estonia in the period 2006‒2015 using Farm Accountancy Data Network. We analyse self-selection into organic farming using the propensity-score-matching approach and explicitly test the hypothesis that organic and conventional farms apply homogeneous technology. We find that organic farms are less efficient. However, the difference in technical efficiency between organic and conventional farms decreases substantially when the technical efficiency assessment incorporates the use of the appropriate technology. The lack of growth of technical efficiency over time indicates that there might be a lack of knowledge in organic milk production that hinders its development. Since technical efficiency increases with farm size, it is important that organic dairy farms increase their scale.

Suggested Citation

  • Fertő, Imre & Bakucs, Zoltán & Viira, Ants-Hannes & Aleksandrova, Olha & Luik-Lindsaar, Helis & Omel, Raul, 2024. "Are Organic Farms Less Efficient? The Case of Estonian Dairy Farms," AGRIS on-line Papers in Economics and Informatics, Czech University of Life Sciences Prague, Faculty of Economics and Management, vol. 16(4), March.
    • Handle: RePEc:ags:aolpei:348963
    DOI: 10.22004/ag.econ.348963
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    as
    1. Fabio A. Madau & Roberto Furesi & Pietro Pulina, 2017. "Technical efficiency and total factor productivity changes in European dairy farm sectors," Agricultural and Food Economics, Springer;Italian Society of Agricultural Economics (SIDEA), vol. 5(1), pages 1-14, December.
    2. de Ponti, Tomek & Rijk, Bert & van Ittersum, Martin K., 2012. "The crop yield gap between organic and conventional agriculture," Agricultural Systems, Elsevier, vol. 108(C), pages 1-9.
    3. Alvarez, Antonio & del Corral, Julio & Tauer, Loren W., 2012. "Modeling Unobserved Heterogeneity in New York Dairy Farms: One-Stage versus Two-Stage Models," Agricultural and Resource Economics Review, Cambridge University Press, vol. 41(3), pages 275-285, December.
    4. Subal Kumbhakar & Gudbrand Lien & J. Hardaker, 2014. "Technical efficiency in competing panel data models: a study of Norwegian grain farming," Journal of Productivity Analysis, Springer, vol. 41(2), pages 321-337, April.
    5. Heidrun Moschitz & Adrian Muller & Ursula Kretzschmar & Lisa Haller & Miguel de Porras & Catherine Pfeifer & Bernadette Oehen & Helga Willer & Hanna Stolz, 2021. "How can the EU Farm to Fork strategy deliver on its organic promises? Some critical reflections," EuroChoices, The Agricultural Economics Society, vol. 20(1), pages 30-36, April.
    6. Breustedt, Gunnar & Latacz-Lohmann, Uwe & Tiedemann, Torben, 2011. "Organic or conventional? Optimal dairy farming technology under the EU milk quota system and organic subsidies," Food Policy, Elsevier, vol. 36(2), pages 223-229, April.
    7. 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.
    8. Nehring, Richard F. & Gillespie, Jeffrey & Greene, Catherine & Law, Jonathan, 2021. "The Economics and Productivity of Organic versus Conventional U.S. Dairy Farms," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 53(1), pages 134-152, February.
    9. Johannes Sauer, 2010. "Deregulation and dairy production systems: a Bayesian distance function approach," Journal of Productivity Analysis, Springer, vol. 34(3), pages 213-237, December.
    10. Verena Seufert & Navin Ramankutty & Jonathan A. Foley, 2012. "Comparing the yields of organic and conventional agriculture," Nature, Nature, vol. 485(7397), pages 229-232, May.
    11. Efthymios G. Tsionas, 2002. "Stochastic frontier models with random coefficients," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 17(2), pages 127-147.
    12. Marco Caliendo & Sabine Kopeinig, 2008. "Some Practical Guidance For The Implementation Of Propensity Score Matching," Journal of Economic Surveys, Wiley Blackwell, vol. 22(1), pages 31-72, February.
    13. Awudu Abdulai & Hendrik Tietje, 2007. "Estimating technical efficiency under unobserved heterogeneity with stochastic frontier models: application to northern German dairy farms," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 34(3), pages 393-416, September.
    14. Zdeňka Náglová & Tamara Rudinskaya, 2021. "Factors Influencing Technical Efficiency in the EU Dairy Farms," Agriculture, MDPI, vol. 11(11), pages 1-14, November.
    15. 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.
    16. 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.
    17. Carlos D. Mayen & Joseph V. Balagtas & Corinne E. Alexander, 2010. "Technology Adoption and Technical Efficiency: Organic and Conventional Dairy Farms in the United States," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 92(1), pages 181-195.
    18. Taciana Mareth & Antonio Marcio Tavares Thomé & Fernando Luiz Cyrino Oliveira & Luiz Felipe Scavarda, 2016. "Systematic review and meta-regression analysis of technical efficiency in dairy farms," International Journal of Productivity and Performance Management, Emerald Group Publishing Limited, vol. 65(3), pages 279-301, March.
    19. KS Pietola & AO Lansink, 2001. "Farmer response to policies promoting organic farming technologies in Finland," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 28(1), pages 1-15, March.
    20. Tzouvelekas, Vangelis & Pantzios, Christos J. & Fotopoulos, Christos, 2001. "Technical efficiency of alternative farming systems: the case of Greek organic and conventional olive-growing farms," Food Policy, Elsevier, vol. 26(6), pages 549-569, December.
    21. Djokoto, Justice G., 2015. "Technical efficiency of organic agriculture: a quantitative review," Studies in Agricultural Economics, Research Institute for Agricultural Economics, vol. 117(2), pages 1-11, August.
    22. Taciana Mareth & Antonio Marcio Tavares Thomé & Fernando Luiz Cyrino Oliveira & Luiz Felipe Scavarda, 2016. "Systematic review and meta-regression analysis of technical efficiency in dairy farms," International Journal of Productivity and Performance Management, Emerald Group Publishing Limited, vol. 65(3), pages 279-301, March.
    23. Vladimír Kostlivý & Zuzana Fuksová, 2019. "Technical efficiency and its determinants for Czech livestock farms," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 65(4), pages 175-184.
    24. Meeusen, Wim & van den Broeck, Julien, 1977. "Efficiency Estimation from Cobb-Douglas Production Functions with Composed Error," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 18(2), pages 435-444, June.
    25. Aigner, Dennis & Lovell, C. A. Knox & Schmidt, Peter, 1977. "Formulation and estimation of stochastic frontier production function models," Journal of Econometrics, Elsevier, vol. 6(1), pages 21-37, July.
    26. Greene, William, 2005. "Reconsidering heterogeneity in panel data estimators of the stochastic frontier model," Journal of Econometrics, Elsevier, vol. 126(2), pages 269-303, June.
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