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Productivity change in Polish agriculture: an illustration of a bootstrapping procedure applied to Malmquist indices

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  • Laure Latruffe
  • Sophia Davidova
  • Kelvin Balcombe

Abstract

This article illustrates the usefulness of applying bootstrap procedures to total factor productivity Malmquist indices, derived with data envelopment analysis (DEA), for a sample of 250 Polish farms during 1996-2000. The confidence intervals constructed as in Simar and Wilson suggest that the common portrayal of productivity decline in Polish agriculture may be misleading. However, a cluster analysis based on bootstrap confidence intervals reveals that important policy conclusions can be drawn regarding productivity enhancement.

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File URL: http://www.tandfonline.com/doi/abs/10.1080/14631370802444708
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Bibliographic Info

Article provided by Taylor & Francis Journals in its journal Post-Communist Economies.

Volume (Year): 20 (2008)
Issue (Month): 4 ()
Pages: 449-460

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Handle: RePEc:taf:pocoec:v:20:y:2008:i:4:p:449-460

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Cited by:
  1. Arjomandi, Amir & Valadkhani, Abbas & Harvie, Charles, 2011. "Analysing Productivity Changes Using the Bootstrapped Malmquist Approach: The Case of the Iranian Banking Industry," MPRA Paper 50397, University Library of Munich, Germany.
  2. Latruffe, Laure & Fogarasi, József & Desjeux, Yann, 2012. "Efficiency, productivity and technology comparison for farms in Central and Western Europe: The case of field crop and dairy farming in Hungary and France," Economic Systems, Elsevier, vol. 36(2), pages 264-278.
  3. Rodrigo Taborda & Julieth Santamaría, 2011. "Productivity growth in electric energy retail in Colombia. A bootstrapped malmquist indices approach," DOCUMENTOS DE TRABAJO 009152, UNIVERSIDAD DEL ROSARIO.

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