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Application of the DEA on the measurement of efficiency in the EU countries

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  • Kristína KOČIŠOVÁ

    (Department of Banking and Investment, Faculty of Economics, Technical University of Košice, Košice, Slovak Republic)

Abstract

The purpose of the paper is to investigate the relative technical efficiency of the agricultural sector in the European Union (EU) using the Data Envelopment Analysis (DEA) during the period 2007-2011. The authors investigated efficiency using both the input and output-oriented models with the assumption of a variable return to scale. They looked for causes of inefficiency and made recommendations for inefficient agricultural sectors. The results show that, in average, the EU agricultural sectors performed efficiently, as evidenced by the relatively high value of the average input and output efficiency. The efficiency of the EU agricultural sectors had changed over the past few years, and in both models the efficiency has generally decreased over time. As the main source of inefficiency was labelled the input "total utilised agricultural area" and as the strength with a positive impact on efficiency, there was labelled the "crop output." By calculating the optimal values for the input and output variables for inefficient agricultural sectors, it has been found that for the efficient production of a given quantity of outputs, it was necessary to reduce the value of the input "total labour" in average by 6.18%, the "total utilised agricultural area" in average by 14.45% and the "total assets" in average by 5.93%. In case of the output-oriented model for efficient use of a given quantity of inputs, the agricultural sectors should produce up to 111.85% of their crop output and 113.41% of their animal output.

Suggested Citation

  • Kristína KOČIŠOVÁ, 2015. "Application of the DEA on the measurement of efficiency in the EU countries," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 61(2), pages 51-62.
  • Handle: RePEc:caa:jnlage:v:61:y:2015:i:2:id:107-2014-agricecon
    DOI: 10.17221/107/2014-AGRICECON
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    References listed on IDEAS

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    1. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    2. P. Bielik & M. Rajčániová, 2004. "Scale efficiency of agricultural enterprises in Slovakia," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 50(8), pages 331-335.
    3. Lukáš ČECHURA, 2010. "Estimation of technical efficiency in Czech agriculture with respect to firm heterogeneity," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 56(4), pages 183-191.
    4. Dios-Palomares, Rafaela & Martínez-Paz, José M., 2011. "Technical, quality and environmental efficiency of the olive oil industry," Food Policy, Elsevier, vol. 36(4), pages 526-534, August.
    5. Timothy J. Coelli & D.S. Prasada Rao & Christopher J. O’Donnell & George E. Battese, 2005. "An Introduction to Efficiency and Productivity Analysis," Springer Books, Springer, edition 0, number 978-0-387-25895-9, December.
    6. Xu HENGZHOU & Chen TONG, 2013. "Impact of farmers' differentiation on farmland-use efficiency: Evidence from household survey data in rural China," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 59(5), pages 227-234.
    7. R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, vol. 30(9), pages 1078-1092, September.
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