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Slovak agricultural farms in different regions - comparison of efficiency

Author

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  • Z. Sojková

    (Slovak University of Agriculture, Nitra, Slovak Republic)

  • Z. Kropková

    (Slovak University of Agriculture, Nitra, Slovak Republic)

  • V. Benda

    (Slovak University of Agriculture, Nitra, Slovak Republic)

Abstract

This paper presents the results of stochastic parametric approach used in estimation of production frontier. The estimation of output oriented technical efficiency was based on the Stochastic Frontier analysis with Cobb-Douglas production function. The model also included a dummy variable which expressed production conditions in which Slovak farms are operating. We divided farms into two groups regarding production conditions: productive regions (PR) and less favorable area (LFA) regions. The data set included 79 Slovak farms operating in different regions in the 2003-2005 time periods. The following input variables are included in the model: capital, material, labour and agricultural land according to the LPIS system. Total output was used as the output variable. From the achieved results, we can conclude that the significant statistical differences in average technical efficiency were detected only in year 2005 between the farms of the mentioned production conditions. A higher level of variability in technical efficiency was detected in farms operating in productive regions compared to technical efficiency of farms in the LFA regions.

Suggested Citation

  • Z. Sojková & Z. Kropková & V. Benda, 2008. "Slovak agricultural farms in different regions - comparison of efficiency," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 54(4), pages 158-165.
    • Handle: RePEc:caa:jnlage:v:54:y:2008:i:4:id:294-agricecon
    DOI: 10.17221/294-AGRICECON
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    References listed on IDEAS

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    1. Sotnikov, Sergey, 1998. "Evaluating the Effects of Price and Trade Liberalisation on the Technical Efficiency of Agricultural Production in a Transition Economy: The Case of Russia," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 25(3), pages 412-431.
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    Cited by:

    1. Z. Chrastinová & V. Burianová, 2009. "Economic development in Slovak agriculture," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 55(2), pages 67-76.
    2. E. Matejková & A. Qineti & R. Serenčéš, 2008. "Macroeconomic aspects of the development of Slovak regions in the post-accession period," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 54(8), pages 367-375.
    3. Suitberto CABRERA GARCÍA & Josué E. IMBERT TAMAYO & Jorge CARBONELL-OLIVARES & Yaylin PACHECO CABRERA, 2013. "Application of the Game Theory with Perfect Information to an agricultural company," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 59(1), pages 1-7.
    4. Jana NÉMETHOVÁ, 2010. "Types of agricultural enterprises in the high production region in Slovakia (sample area of the Nitra district)," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 56(1), pages 25-31.
    5. F. Střeleček & J. Lososová & R. Zdeněk, 2008. "Economic results of agricultural holdings in less favoured areas," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 54(11), pages 510-520.
    6. Peter ADAMIŠIN & Rastislav KOTULIČ, 2013. "Evaluation of the agrarian businesses results according to their legal form," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 59(9), pages 396-402.
    7. Z. Chrastinová, 2008. "Economic differentiation in Slovak agriculture," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 54(11), pages 536-545.
    8. Peter ADAMIŠIN & Rastislav KOTULIČ & Ivana KRAVČÁKOVÁ VOZÁROVÁ & Roman VAVREK, 2015. "Natural climatic conditions as a determinant of productivity and economic efficiency of agricultural entities," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 61(6), pages 265-274.
    9. D. Kopta, 2009. "Possibilities of financial health indicators used for prediction of future development of agricultural enterprises," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 55(3), pages 111-125.

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