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The Regional Efficiency of Mixed Crop and Livestock Type of Farming and Its Determinants

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  • Špička, J.

Abstract

The mixed crop and livestock farming represents significant share in agricultural output in the Czech Republic. So, it raises questions about determinants of its production efficiency. The aim of the article is to evaluate production efficiency and its determinants of mixed crop and livestock farming among the EU regions. The DEA method with variable returns to scale (DEAVRS) reveals efficient and inefficient regions including the scale efficiency. In the next step, the two-sample t-test determines differences of economic and structural indicators between efficient and inefficient regions. The research reveals that substitution of labor by capital/ contract work positively affects income indicator Farm Net Value Added per AWU. The significant economic determinants of production efficiency in mixed type of farming are crop output per hectare, livestock output per livestock unit, productivity of energy and capital. Agricultural enterprises in inefficient regions have more extensive structure and produce more non-commodity output (public goods).

Suggested Citation

  • Špička, J., 2014. "The Regional Efficiency of Mixed Crop and Livestock Type of Farming and Its Determinants," AGRIS on-line Papers in Economics and Informatics, Czech University of Life Sciences Prague, Faculty of Economics and Management, vol. 6(1), pages 1-11, March.
  • Handle: RePEc:ags:aolpei:167102
    DOI: 10.22004/ag.econ.167102
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    References listed on IDEAS

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    1. Sophia Davidova & Laure Latruffe, 2007. "Relationships between Technical Efficiency and Financial Management for Czech Republic Farms," Journal of Agricultural Economics, Wiley Blackwell, vol. 58(2), pages 269-288, June.
    2. Fried, Harold O. & Lovell, C. A. Knox & Schmidt, Shelton S. (ed.), 2008. "The Measurement of Productive Efficiency and Productivity Growth," OUP Catalogue, Oxford University Press, number 9780195183528.
    3. Miroslav Svatoš & Luboš Smutka, 2012. "Comparative advantages of the Czech agrarian foreign trade in relation to the EU and third countries," Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, Mendel University Press, vol. 60(4), pages 363-378.
    4. Gorton, Matthew & Davidova, Sophia, 2004. "Farm productivity and efficiency in the CEE applicant countries: a synthesis of results," Agricultural Economics, Blackwell, vol. 30(1), pages 1-16, January.
    5. 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.
    6. Lajos Zoltan Bakucs & Laure Latruffe & Imre Fertő & Jozsef Fogarasi, 2010. "The impact of EU accession on farms' technical efficiency in Hungary," Post-Communist Economies, Taylor & Francis Journals, vol. 22(2), pages 165-175.
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