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Dynamic Efficiency of Turkish Banks: a DEA Window and Malmquist Index Analysis for the Period of 2003-2012

Author

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  • Aziz KUTLAR
  • Ali KABASAKAL
  • Adem BABACAN

Abstract

This article utilizes data envelopment analysis (DEA) in order to obtain technical efficiency and allocative efficiency scores of 23 commercial banks which operate in Turkey uninterruptedly between 2003 and 2012. According to results of CCR model analysis 3 banks are not technically efficient in the first years, the number of technically inefficient banks doubles in 2012. On the other hand the number of allocatively inefficient banks is only 5 in the first year and the number declines to 4 in the last year. The number of technically inefficient banks in the beginning is only one in terms of BCC model yet the number rose to 4 at the end of the study period. The relevant figure for allocative efficiency is 10 in the beginning and 16 at the end. DEA window analysis indicates that public banks with high amount of deposits tend to have higher efficiency scores while private banks have lower efficiency scores. The highest average in efficiency scores for all the banks occur in win4 to win5 (2006-’09 to 2007-’10) period. The Malmquist Index is used to analyze total factor productivity and its increase merely by two thousandth (0,002) for all the enterprises.

Suggested Citation

  • Aziz KUTLAR & Ali KABASAKAL & Adem BABACAN, 2015. "Dynamic Efficiency of Turkish Banks: a DEA Window and Malmquist Index Analysis for the Period of 2003-2012," Sosyoekonomi Journal, Sosyoekonomi Society, issue 23(24).
    • Handle: RePEc:sos:sosjrn:150205
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    References listed on IDEAS

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    1. Mercan, Muhammet & Reisman, Arnold & Yolalan, Reha & Emel, Ahmet Burak, 2003. "The effect of scale and mode of ownership on the financial performance of the Turkish banking sector: results of a DEA-based analysis," Socio-Economic Planning Sciences, Elsevier, vol. 37(3), pages 185-202, September.
    2. William W. Cooper & Lawrence M. Seiford & Joe Zhu (ed.), 2011. "Handbook on Data Envelopment Analysis," International Series in Operations Research and Management Science, Springer, number 978-1-4419-6151-8, September.
    3. Isik, Ihsan & Kabir Hassan, M., 2003. "Financial deregulation and total factor productivity change: An empirical study of Turkish commercial banks," Journal of Banking & Finance, Elsevier, vol. 27(8), pages 1455-1485, August.
    4. Aziz Kutlar & Ali Kabasakal & Murat Sarikaya, 2013. "Determination of the efficiency of the world railway companies by method of DEA and comparison of their efficiency by Tobit analysis," Quality & Quantity: International Journal of Methodology, Springer, vol. 47(6), pages 3575-3602, October.
    5. Henry Tulkens & Philippe Eeckaut, 2006. "Nonparametric Efficiency, Progress and Regress Measures For Panel Data: Methodological Aspects," Springer Books, in: Parkash Chander & Jacques Drèze & C. Knox Lovell & Jack Mintz (ed.), Public goods, environmental externalities and fiscal competition, chapter 0, pages 395-429, Springer.
    6. 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.
    7. William W. Cooper & Lawrence M. Seiford & Joe Zhu, 2011. "Data Envelopment Analysis: History, Models, and Interpretations," International Series in Operations Research & Management Science, in: William W. Cooper & Lawrence M. Seiford & Joe Zhu (ed.), Handbook on Data Envelopment Analysis, chapter 0, pages 1-39, Springer.
    8. Robert Webb, 2003. "Levels of efficiency in UK retail banks: a DEA window analysis," International Journal of the Economics of Business, Taylor & Francis Journals, vol. 10(3), pages 305-322.
    9. Pasiouras, Fotios, 2008. "Estimating the technical and scale efficiency of Greek commercial banks: The impact of credit risk, off-balance sheet activities, and international operations," Research in International Business and Finance, Elsevier, vol. 22(3), pages 301-318, September.
    10. Paradi, Joseph C. & Zhu, Haiyan, 2013. "A survey on bank branch efficiency and performance research with data envelopment analysis," Omega, Elsevier, vol. 41(1), pages 61-79.
    11. Chih-Ching Yang, 2014. "An enhanced DEA model for decomposition of technical efficiency in banking," Annals of Operations Research, Springer, vol. 214(1), pages 167-185, March.
    12. Abhiman Das & Saibal Ghosh, 2006. "Financial deregulation and efficiency: An empirical analysis of Indian banks during the post reform period," Review of Financial Economics, John Wiley & Sons, vol. 15(3), pages 193-221.
    13. Caves, Douglas W & Christensen, Laurits R & Diewert, W Erwin, 1982. "The Economic Theory of Index Numbers and the Measurement of Input, Output, and Productivity," Econometrica, Econometric Society, vol. 50(6), pages 1393-1414, November.
    14. Staub, Roberta B. & da Silva e Souza, Geraldo & Tabak, Benjamin M., 2010. "Evolution of bank efficiency in Brazil: A DEA approach," European Journal of Operational Research, Elsevier, vol. 202(1), pages 204-213, April.
    15. Liu, Fuh-Hwa Franklin & Wang, Peng-hsiang, 2008. "DEA Malmquist productivity measure: Taiwanese semiconductor companies," International Journal of Production Economics, Elsevier, vol. 112(1), pages 367-379, March.
    16. Cevdet Denizer & Mustafa Dinc & Murat Tarimcilar, 2007. "Financial liberalization and banking efficiency: evidence from Turkey," Journal of Productivity Analysis, Springer, vol. 27(3), pages 177-195, June.
    17. William W. Cooper & Lawrence M. Seiford & Kaoru Tone, 2006. "Introduction to Data Envelopment Analysis and Its Uses," Springer Books, Springer, number 978-0-387-29122-2, December.
    18. Fukuyama, Hirofumi & Matousek, Roman, 2011. "Efficiency of Turkish banking: Two-stage network system. Variable returns to scale model," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 21(1), pages 75-91, February.
    19. Tomas Havranek & Zuzana Irsova, 2013. "Determinants of Bank Performance in Transition Countries: A Data Envelopment Analysis," Transition Studies Review, Springer;Central Eastern European University Network (CEEUN), vol. 20(1), pages 1-17, April.
    20. Mette Asmild & Joseph Paradi & Vanita Aggarwall & Claire Schaffnit, 2004. "Combining DEA Window Analysis with the Malmquist Index Approach in a Study of the Canadian Banking Industry," Journal of Productivity Analysis, Springer, vol. 21(1), pages 67-89, January.
    21. 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.
    22. Charnes, A. & Cooper, W. W. & Rhodes, E., 1979. "Measuring the efficiency of decision-making units," European Journal of Operational Research, Elsevier, vol. 3(4), pages 339-338, July.
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    1. Imad Bou-Hamad & Abdel Latef Anouze & Ibrahim H. Osman, 2022. "A cognitive analytics management framework to select input and output variables for data envelopment analysis modeling of performance efficiency of banks using random forest and entropy of information," Annals of Operations Research, Springer, vol. 308(1), pages 63-92, January.

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    More about this item

    Keywords

    Non-Parametric Method; Panel Data; DEA; TFP; Banking.;
    All these keywords.

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • C44 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Operations Research; Statistical Decision Theory
    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages

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