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Modeling Heterogeneity In Production Models: Empirical Evidence From Individual Farming In Poland

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  • Hockmann, Heinrich
  • Pieniadz, Agata
  • Goraj, Lech

Abstract

This discussion paper deals with the estimation of a random coefficient model. The virtue of this approach is that it considers firm heterogeneity, which conventional SFA models do not. Applying the model to Polish farms, the results indicate that the conventional random and fixed effect models overestimate the inefficiency score. In addition, the reasons for inefficiency are analyzed. It is shown that despite the fragmentation of Polish agriculture, there is no evidence for scale inefficiency. Moreover, inefficiency could partly be attributed to factors, which affect the management input and requirements on farms.

Suggested Citation

  • Hockmann, Heinrich & Pieniadz, Agata & Goraj, Lech, 2007. "Modeling Heterogeneity In Production Models: Empirical Evidence From Individual Farming In Poland," IAMO Discussion Papers 91733, Institute of Agricultural Development in Transition Economies (IAMO).
    • Handle: RePEc:ags:iamodp:91733
    DOI: 10.22004/ag.econ.91733
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    6. Laure Latruffe & Kelvin Balcombe & Sophia Davidova & Katarzyna Zawalinska, 2005. "Technical and scale efficiency of crop and livestock farms in Poland : does specialization matte r?," Post-Print hal-02392195, HAL.
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    8. 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. Tomasz Gerard Czekaj & Arne Henningsen, 2012. "Comparing Parametric and Nonparametric Regression Methods for Panel Data: the Optimal Size of Polish Crop Farms," IFRO Working Paper 2012/12, University of Copenhagen, Department of Food and Resource Economics.
    2. Supawat Rungsuriyawiboon & Heinrich Hockmann, 2015. "Adjustment costs and efficiency in Polish agriculture: a dynamic efficiency approach," Journal of Productivity Analysis, Springer, vol. 44(1), pages 51-68, August.
    3. Elizabeth Ahikiriza & Jef Meensel & Xavier Gellynck & Ludwig Lauwers, 2021. "Heterogeneity in frontier analysis: does it matter for benchmarking farms?," Journal of Productivity Analysis, Springer, vol. 56(2), pages 69-84, December.
    4. repec:zbw:iamodp:94720 is not listed on IDEAS
    5. Buchenrieder, Gertrud & Hanf, Jon Henrich & Pieniadz, Agata, 2009. "20 years of transition in the agri-food sector," German Journal of Agricultural Economics, Humboldt-Universitaet zu Berlin, Department for Agricultural Economics, vol. 58(07), pages 1-9, October.
    6. Cechura, Lukas & Hockmann, Heinrich, 2010. "Sources of economical growth in the Czech food processing," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 19(2), pages 169-182.
    7. Koester, Ulrich & Petrick, Martin, 2010. "Embedded Institutions And The Persistence Of Large Farms In Russia," IAMO Discussion Papers 94720, Institute of Agricultural Development in Transition Economies (IAMO).

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    More about this item

    Keywords

    Agribusiness; Farm Management; Productivity Analysis; Research Methods/ Statistical Methods;
    All these keywords.

    JEL classification:

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

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