Productivity change in Polish agriculture: an application of a bootstrap procedure to Malmquist indices

Laure Latruffe, Sophia Davidova and Kelvin Balcombe

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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.

Keywords: MALMQUIST INDICE; BOOTSTRAPPING; FARM; PRODUCTIVITY CHANGE; europe; pologne (search for similar items in EconPapers)
Date: 2007-05-11
Note: View the original document on HAL open archive server: https://hal.science/hal-02285595v1
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Published in CES Europe conference : Economic transition at midlife: Lessons from the development of markets and institutions, Chinese Economist Society (CES). USA., May 2007, Portoroz, Slovenia. 14 p

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Related works:
Working Paper: Productivity Change in Polish Agriculture: An Application of a Bootstrap Procedure to Malmquist Indices (2005)
Working Paper: Productivity change in Polish agriculture: an application of a bootstrap procedure to Malmquist indices (2005)
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