Agric. Econ. - Czech, 2017, 63(9):411-420 | DOI: 10.17221/1/2016-AGRICECON

Heterogeneity and efficiency of food processing companies in the Czech RepublicOriginal Paper

Tamara RUDINSKAYA
Department of Economics, Faculty of Economics and Management, Czech University of Life Sciences Prague, Prague, Czech Republic

In the paper, the observed heterogeneity and technical efficiency of Czech food processing companies are investigated. Recent studies proved that food processing firms' heterogeneity can influence the result of the efficiency estimation. For the empirical study, the panel data set from the years 2005-2012 containing 2854 observations of 607 food processing companies was used. Variables representing heterogeneity factors were incorporated in the mean of inefficiency term distribution of the Battese and Coelli model (1995). The models were estimated in the form of translogarithmic production function using the Stochastic Frontier Approach. The results indicate the presence of significant heterogeneity among the firms in the analysed branches and among different branches of the food processing industry.

Keywords: inefficiency effects model, marginal effects, production function, Stochastic Frontier Analysis

Published: September 30, 2017  Show citation

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RUDINSKAYA T. Heterogeneity and efficiency of food processing companies in the Czech Republic. Agric. Econ. - Czech. 2017;63(9):411-420. doi: 10.17221/1/2016-AGRICECON.
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References

  1. Aigner D., Lovell C.A.K., Schmidt P. (1977): Formulation and estimation of stochastic frontier production function models. Journal of Econometrics, 6: 21-37. Go to original source...
  2. Alvarez A., Arias C., Greene W. (2003): Fixed Management and Time Invariant Technical Efficiency in a Random Coefficient Model. Working Paper, Department of Economics, Stern School of Business, New York University.
  3. Alvarez A., Arias C., Greene W. (2004): Accounting for Unobservables in Production Models: Management and Inefficiency. Economic Working Papers at Centro de Estudios Andaluces E2004/72, Centro de Estudios Andaluces.
  4. Alvarez A., Amsler C., Orea L., Schmidt P. (2006): Interpreting and testing the scaling property in models where inefficiency depends on firm characteristics. Journal of productivity analysis, 25: 201-212. Go to original source...
  5. Barath L., Ferto, I. (2015): Heterogeneous technology, scale of land use and technical efficiency: The case of Hungarian crop farms. Land Use Policy, 42: 141-150. Go to original source...
  6. Battese G.E., Coelli T.J. (1995): A model for technical inefficiency effects in a stochastic frontier production function for panel data. Empirical Economics, 20: 325-332. Go to original source...
  7. Bojnec Š., Latruffe L. (2013): Farm size, agricultural subsidies and farm performance in Slovenia. Land Use Policy, 32: 207-217 Go to original source...
  8. Brasili C., Fanfani R., Maccarini E.R., Monasterolo I. (2007): A comparative analysis of the meat sector in Hungary and Emilia-Romagna: Performance and efficiency. In: 104th EAAE Seminar Agricultural Economics and Transition: What was expected, what we observed, the lessons learned. Corvinus University of Budapest, Budapest, Sept 6-8, 2007.
  9. Cechura L. (2010): Estimation of technical efficiency in Czech agriculture with respect to firm heterogeneity. Agricultural Economics - Czech, 56: 183-191. Go to original source...
  10. Čechura L., Hockmann H. (2010): Sources of economical growth in the Czech food processing. Prague Economic Papers, 2: 169-182. Go to original source...
  11. Čechura L., Hockmann H. (2011): Efficiency and heterogeneity in Czech food processing industry. In: EAAE 2011 Congress Change and Uncertainty Challenges for Agriculture, Zurich, Aug 30-Sept 2, 2017.
  12. Čechura L., Hockmann H. (2014): Heterogeneity in technology and efficiency - specifics of the food processing industry in the Visegrád countries. In: EAAE 2014 Congress Agri-Food and Rural Innovations for Healthier Societies, Ljubljana, Aug 26-29, 2014.
  13. Farrell M.J. (1957): The measurement of productive efficiency. Journal of the Royal Statistical Society, Series A 120: 253-290. Go to original source...
  14. Gorton M., Davidova S. (2004): Farm productivity and efficiency in the CEE applicant countries: a synthesis of results. Agricultural Economics, 30: 1-16. Go to original source...
  15. Greene W. (2002): Fixed and Random Effects in Stochastic Frontier Models. Working Paper 02-16, Stern School of Business, Department of Economics.
  16. Greene W. (2003): Distinguish Between Heterogeneity and Inefficiency: Stochastic Frontier Analysis of the World Health Organization's Panel Data on National Health Care Systems. Working Papers 03-10, New York University, Leonard N. Stern School of Business, Department of Economics. Go to original source...
  17. Greene W. (2005a): Reconsidering heterogeneity in panel data estimators of the stochastic frontier model. Journal of Econometrics, 126: 269-303. Go to original source...
  18. Greene W. (2005b): Fixed and Random effects in stochastic frontier models. Journal of Productivity Analysis, 23: 7-32. Go to original source...
  19. Greene W. (2011): Econometric Analysis. 7 th Ed. Pearson Education, Boston.
  20. Hockmann H., Pieniadz A. (2008): Farm heterogeneity and efficiency in Polish agriculture: A stochastic frontier analysis. In: 12 th EAAE Congress of the European Association of Agricultural Economists. Available at http://ageconsearch.umn.edu/bitstream/44278/2/496.pdf (accessed Dec 29, 2015).
  21. Jondrow J., Lovell C.A.K, Materov I.S., Schmidt P. (1982): On the estimation of technical inefficiency in the stochastic frontier production function model. Journal of Econometrics, 19: 233-238. Go to original source...
  22. Kopsakangas-Savolainen M., Svento R. (2008): Observed and Unobserved Heterogeneity in Stochastic Frontier Models. Working Paper No. 0805, Department of Economics, University of Oulu. Go to original source...
  23. Kroupová Z. (2010): Technická efektivnost ekologického zemědělství České republiky. Ekonomická revue ERCEREI, 13: 63-75. Go to original source...
  24. Kumbhakar S.C., Lovell C.A.K. (2000): Stochastic Frontier Analysis. 1st Ed. Cambridge University Press, Cambridge. Go to original source...
  25. Latruffe L., Balcombe K.G., Davidova S., Zawalinska K. (2004): Determinants of technical efficiency of crop and livestock farms in Poland. Applied Economics, 36: 1255-1263. Go to original source...
  26. Malá Z. (2011): Efficiency analysis of Czech organic agriculture. E+M Ekonomie a Management, 14: 14-28.
  27. Rudinskaya T. (2015): Heterogeneity and efficiency of meat processing companies in the Czech Republic. In: 33 rd International Conference Mathematical Methods in Economics MME 2015, Cheb, Sep 9-11, 2015: 713-716.
  28. Špička J. (2015): The efficiency improvement of central European corporate milk processors in 2008-2013. Agris on-line Papers in Economics and Informatics, 7: 175-188. Go to original source...
  29. Zhu X., Karagiannis, G., Lansink, A.O. (2008): Analyzing the impact of direct subsidies on the performance of the Greek Olive Farms with a non-monotonic efficiency effects model. In: 12th EAAE Congress of the European Association of Agricultural Economists. Available at http://ageconsearch.umn.edu/bitstream/43612/2/057.pdf (accessed Dec 29, 2015).

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