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Productivity Change in Polish Agriculture: An Application of a Bootstrap Procedure to Malmquist Indices

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  • Balcombe, Kelvin George
  • Davidova, Sophia
  • Latruffe, Laure

Abstract

This paper employs bootstrapping to correct for bias and to construct confidence intervals for Malmquist TFP indices derived with DEA. It uses these results to investigate the productivity change in Polish agriculture during a crucial period of the country's transition to a market economy, 1996-2000, when Poland was preparing for accession to the European Union. The bias corrected estimates show regress in productivity at an annual rate of 4 percent. The confidence intervals suggest that between two-thirds and four-fifths of the sample farms (250) in different years might have experienced no change in productivity. The cluster analysis based on confidence bounds reveals three paths of productivity change. Farms which recorded an increase in productivity at least in the last year of the analysed period, are larger, more capital intensive, run by younger farmers, and more integrated in factor and product markets. However, they account for only 19 percent of the sample farms. The most important for Poland now is to unlock the forces that can drive ahead structural reform and thus productivity growth.

Suggested Citation

  • Balcombe, Kelvin George & Davidova, Sophia & Latruffe, Laure, 2005. "Productivity Change in Polish Agriculture: An Application of a Bootstrap Procedure to Malmquist Indices," 2005 International Congress, August 23-27, 2005, Copenhagen, Denmark 24572, European Association of Agricultural Economists.
  • Handle: RePEc:ags:eaae05:24572
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    File URL: http://purl.umn.edu/24572
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    References listed on IDEAS

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    1. Léopold Simar & Paul Wilson, 2000. "Statistical Inference in Nonparametric Frontier Models: The State of the Art," Journal of Productivity Analysis, Springer, vol. 13(1), pages 49-78, January.
    2. Sophia Davidova & Matthew Gorton & Tomas Ratinger & Katarzyna Zawalinska & Belen Iraizoz, 2005. "Farm Productivity and Profitability: A Comparative Analysis of Selected New and Existing EU Member States1," Comparative Economic Studies, Palgrave Macmillan;Association for Comparative Economic Studies, vol. 47(4), pages 652-674, December.
    3. Dries, Liesbeth & Swinnen, Johan F. M., 2004. "Foreign Direct Investment, Vertical Integration, and Local Suppliers: Evidence from the Polish Dairy Sector," World Development, Elsevier, vol. 32(9), pages 1525-1544, September.
    4. Tortosa-Ausina, Emili & Grifell-Tatje, Emili & Armero, Carmen & Conesa, David, 2008. "Sensitivity analysis of efficiency and Malmquist productivity indices: An application to Spanish savings banks," European Journal of Operational Research, Elsevier, vol. 184(3), pages 1062-1084, February.
    5. Bernhard Brümmer & Thomas Glauben & Geert Thijssen, 2002. "Decomposition of Productivity Growth Using Distance Functions: The Case of Dairy Farms in Three European Countries," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 84(3), pages 628-644.
    6. Laure Latruffe & Kelvin Balcombe & Sophia Davidova & Katarzyna Zawalinska, 2004. "Determinants of technical efficiency of crop and livestock farms in Poland," Applied Economics, Taylor & Francis Journals, vol. 36(12), pages 1255-1263.
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    Cited by:

    1. Fekete-Farkas, Maria & Szucs, Istvan & Varga, Tibor, 2012. "Technological progress and efficiency change In Hungarian Agriculture," 2012 Conference, August 18-24, 2012, Foz do Iguacu, Brazil 126120, International Association of Agricultural Economists.
    2. Fogarasi, Jozsef & Latruffe, Laure, 2009. "Farm performance and support in Central and Western Europe: a comparison of Hungary and France," 83rd Annual Conference, March 30-April 1, 2009, Dublin, Ireland 51053, Agricultural Economics Society.

    More about this item

    Keywords

    Malmquist indices; bootstrapping; Poland; farms; productivity change; Productivity Analysis; D24; Q12; C6;

    JEL classification:

    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
    • Q12 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Micro Analysis of Farm Firms, Farm Households, and Farm Input Markets
    • C6 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling

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