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Struktura konkurencji technologicznej w największych bankach Polski

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  • Guzik, Bogusław

Abstract

The author proposes a method for measuring technological competition among businesses and a method to determine the structure of technological competitiveness. To this end the author uses the CCR super-efficiency model applied in Data Envelopment Analysis (DEA). The proposed procedure is used in the study of technological competition among Poland’s 25 largest banks. Guzik uses a set of 2006 data published by Polish banking trade magazine Miesięcznik Finansowy Bank in June 2007. The results obtained by the author show that foreign and private banks generally display the greatest potential for technological competition, Guzik says, while some of the banks that were spun off from the National Bank of Poland (NBP) at the start of the country’s transition to a market economy are the least capable of being competitive technologically. The same is true of banks controlled by state-owned enterprises and organizations, Guzik concludes.

Suggested Citation

  • Guzik, Bogusław, . "Struktura konkurencji technologicznej w największych bankach Polski," Gospodarka Narodowa-The Polish Journal of Economics, Szkoła Główna Handlowa w Warszawie / SGH Warsaw School of Economics, vol. 2008(10).
    • Handle: RePEc:ags:polgne:356616
    DOI: 10.22004/ag.econ.356616
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    References listed on IDEAS

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    1. Guan, Jian Cheng & Yam, Richard C.M. & Mok, Chiu Kam & Ma, Ning, 2006. "A study of the relationship between competitiveness and technological innovation capability based on DEA models," European Journal of Operational Research, Elsevier, vol. 170(3), pages 971-986, May.
    2. Per Andersen & Niels Christian Petersen, 1993. "A Procedure for Ranking Efficient Units in Data Envelopment Analysis," Management Science, INFORMS, vol. 39(10), pages 1261-1264, October.
    3. Afriat, Sidney N, 1972. "Efficiency Estimation of Production Function," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 13(3), pages 568-598, October.
    4. 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.
    5. Fare, Rolf & Knox Lovell, C. A., 1978. "Measuring the technical efficiency of production," Journal of Economic Theory, Elsevier, vol. 19(1), pages 150-162, October.
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    Cited by:

    1. Artur Wyszyński, 2017. "Sytuacja finansowa klubów Ekstraklasy w ujęciu metody DEA," Gospodarka Narodowa. The Polish Journal of Economics, Warsaw School of Economics, issue 2, pages 69-99.

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