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Modely hodnocení efektivnosti produkčních jednotek
[Models for efficiency evaluation of decision making units]

Author

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  • Josef Jablonský

Abstract

The paper deals with models and methods for evaluation of efficiency and performance of production units. Especially, it aims at data envelopment analysis (DEA) models, which are based on the definition of efficiency as the ratio of outputs produced by the unit on the one hand and inputs spent in the production process on the other hand. Standard data envelopment analysis models divide the units into inefficient and efficient ones but they make it not possible to classify the efficient units. That is why the paper deals with several definitions of super efficiency that are bases for classification of efficient units. The models are illustrated on a numerical example. The proposed approaches are applied in assessing the efficiency of branches of a Czech bank. Computer solution of DEA models and future research is discussed in conclusions.

Suggested Citation

  • Josef Jablonský, 2004. "Modely hodnocení efektivnosti produkčních jednotek [Models for efficiency evaluation of decision making units]," Politická ekonomie, Prague University of Economics and Business, vol. 2004(2).
    • Handle: RePEc:prg:jnlpol:v:2004:y:2004:i:2:id:458
    DOI: 10.18267/j.polek.458
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    Citations

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    Cited by:

    1. Iveta Vrabková & Pavel Šaradín, 2017. "The Technical Efficiency of Local Action Groups: a Czech Republic Case Study," Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, Mendel University Press, vol. 65(3), pages 1065-1074.
    2. Eva Horvatova, 2018. "Technical Efficiency of Banks in Central and Eastern Europe," IJFS, MDPI, vol. 6(3), pages 1-25, July.
    3. Vrabková, Iveta, 2019. "Models of static and dynamic technical efficiency of municipal libraries in the Czech Republic," Socio-Economic Planning Sciences, Elsevier, vol. 68(C).
    4. Pavla Mikušová, 2018. "The efficiency of the tertiary education in selected European countries: Focus on Visegrad Group [Efektivnost terciárního vzdělávání ve vybraných evropských zemích: zaměření na země V4]," Český finanční a účetní časopis, Prague University of Economics and Business, vol. 2018(4), pages 5-17.
    5. Martin Dlouhý, 2014. "Models of Subsidy Allocation among City Districts," Prague Economic Papers, Prague University of Economics and Business, vol. 2014(1), pages 108-120.
    6. Robert Stefko & Beata Gavurova & Kristina Kocisova, 2018. "Healthcare efficiency assessment using DEA analysis in the Slovak Republic," Health Economics Review, Springer, vol. 8(1), pages 1-12, December.
    7. Hedija Veronika & Fiala Roman & Kuncová Martina, 2017. "Is profitability a good proxy for efficiency? Evidence from the subsector of tour operators," Review of Economic Perspectives, Sciendo, vol. 17(4), pages 425-440, December.
    8. Fitzová Hana, 2017. "European railway reforms and efficiency: Review of evidence in the literature," Review of Economic Perspectives, Sciendo, vol. 17(2), pages 103-120, June.
    9. Martin Dlouhý & Josef Jablonský & Ivana Novosádová, 2007. "Využití analýzy obalu dat pro hodnocení efektivnosti českých nemocnic [Use of data envelopment analysis for efficiency evaluation of czech hospitals]," Politická ekonomie, Prague University of Economics and Business, vol. 2007(1), pages 60-71.

    More about this item

    Keywords

    efficiency; data envelopment analysis; super efficiency; multiple criteria decision making;
    All these keywords.

    JEL classification:

    • C44 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Operations Research; Statistical Decision Theory
    • C60 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - General
    • C88 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Other Computer Software
    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity

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