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Determinants of technical efficiency of crop and livestock farms in Poland

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Author Info
Laure Latruffe
Kelvin Balcombe
Sophia Davidova
Katarzyna Zawalinska

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Abstract

Poland, one of the candidate countries for European Union membership, is currently experiencing acute structural problems within its agriculture sector. This article analyses technical efficiency and its determinants for a panel of individual farms in Poland specialized in crop and livestock production in 2000. Technical efficiency is estimated with stochastic frontier analysis (SFA) and confidence intervals are constructed. Determinants of inefficiency are also evaluated. The SFA results are compared with results using Data Envelopment Analysis (DEA). On average, livestock farms are more technically efficient than crop farms. For both specializations, the size-efficiency relationship is positive, that is large farms are more efficient. The SFA findings are generally supported by the DEA results. Soil quality and the degree of integration with downstream markets are highly important determinants of efficiency. The use of factor markets (land and labour) is important for crop farms, while livestock farms can rely on family labour and own land. Also, education is a constraint to efficiency particularly for crop farms.

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Article provided by Taylor and Francis Journals in its journal Applied Economics.

Volume (Year): 36 (2004)
Issue (Month): 12 (July)
Pages: 1255-1263
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Handle: RePEc:taf:applec:v:36:y:2004:i:12:p:1255-1263

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References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
  1. Simar, L. & Wilson, P.W., 1999. "Statistical Inference in Nonparametric Frontier Models: the State of the Art," Papers 9904, Catholique de Louvain - Institut de statistique.
  2. 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. [Downloadable!] (restricted)
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  1. Kelvin Balcombe & Iain Fraser & Jae H. Kim, 2006. "Estimating technical efficiency of Australian dairy farms using alternative frontier methodologies," Applied Economics, Taylor and Francis Journals, vol. 38(19), pages 2221-2236, October. [Downloadable!] (restricted)
  2. Darold T. Barnum & John M. Gleason, 2006. "Biases in technical efficiency scores caused by intra-input aggregation: mathematical analysis and a DEA application using simulated data," Applied Economics, Taylor and Francis Journals, vol. 38(14), pages 1593-1603, August. [Downloadable!] (restricted)
  3. Nancy Y. C. Kong & Jose Tongzon, 2006. "Estimating total factor productivity growth in Singapore at sectoral level using data envelopment analysis," Applied Economics, Taylor and Francis Journals, vol. 38(19), pages 2299-2314, October. [Downloadable!] (restricted)
  4. Christian von Hirschhausen & Astrid Cullmann & Andreas Kappeler, 2006. "Efficiency analysis of German electricity distribution utilities -- non-parametric and parametric tests," Applied Economics, Taylor and Francis Journals, vol. 38(21), pages 2553-2566, December. [Downloadable!] (restricted)
  5. Carlos Pestana Barros & Stephanie Leach, 2006. "Performance evaluation of the English Premier Football League with data envelopment analysis," Applied Economics, Taylor and Francis Journals, vol. 38(12), pages 1449-1458, July. [Downloadable!] (restricted)
  6. Ruhul Salim & Amzad Hossain, 2006. "Market deregulation, trade liberalization and productive efficiency in Bangladesh agriculture: an empirical analysis," Applied Economics, Taylor and Francis Journals, vol. 38(21), pages 2567-2580, December. [Downloadable!] (restricted)
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