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Efficiency of Turkish banking: Two-stage network system. Variable returns to scale model

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  • Fukuyama, Hirofumi
  • Matousek, Roman

Abstract

This study curries out a systematic analysis of the cost, technical and allocative efficiency of the Turkish banking system from 1991 to 2007, under the assumption of variable returns to scale. This unique dataset allows to analyse changes in bank efficiency before and after the financial crises. The applied estimation approach is based on a two-stage network model introduced by Fukuyama and Weber (2010), where in the first stage of production, banks use inputs to produce an intermediate output (deposits) that becomes an input to a second stage where final outputs are produced. We have found several interesting results. Our results show that bank efficiency reflected the state of the Turkish economy before and after crises in 1993-1994 and 2000-2001. Furthermore, there persists a gap between the best and worst performing banks. We could not confirm the hypothesis that foreign banks have higher efficiency scores as we saw in new EU countries.

Suggested Citation

  • 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.
  • Handle: RePEc:eee:intfin:v:21:y:2011:i:1:p:75-91
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    References listed on IDEAS

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    Cited by:

    1. Elif Ozturk Kilic & Goksel Acar & Ali Coskun, 2014. "Detecting Earnings Management Practices in Banks: Evidence from Turkey," European Journal of Economic and Political Studies, Fatih University, vol. 7(2), pages 21-36.
    2. repec:eee:ejores:v:261:y:2017:i:3:p:1125-1140 is not listed on IDEAS
    3. Degl’Innocenti, Marta & Matousek, Roman & Sevic, Zeljko & Tzeremes, Nickolaos G., 2017. "Bank efficiency and financial centres: Does geographical location matter?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 46(C), pages 188-198.
    4. Lozano, Sebastián, 2016. "Slacks-based inefficiency approach for general networks with bad outputs: An application to the banking sector," Omega, Elsevier, vol. 60(C), pages 73-84.
    5. Wang, Ke & Huang, Wei & Wu, Jie & Liu, Ying-Nan, 2014. "Efficiency measures of the Chinese commercial banking system using an additive two-stage DEA," Omega, Elsevier, vol. 44(C), pages 5-20.
    6. Aziz Kutlar & Ali Kabasakal & Mehmet Sena Ekici, 2017. "Efficiency of commercial banks in Turkey and their comparison: application of DEA with Tobit analysis," International Journal of Mathematics in Operational Research, Inderscience Enterprises Ltd, vol. 10(1), pages 84-103.
    7. George Assaf, A. & Matousek, Roman & Tsionas, Efthymios G., 2013. "Turkish bank efficiency: Bayesian estimation with undesirable outputs," Journal of Banking & Finance, Elsevier, vol. 37(2), pages 506-517.
    8. repec:wsi:apjorx:v:34:y:2017:i:05:n:s0217595917500233 is not listed on IDEAS
    9. Liu, Yingnan & Wang, Ke, 2015. "Energy efficiency of China's industry sector: An adjusted network DEA (data envelopment analysis)-based decomposition analysis," Energy, Elsevier, vol. 93(P2), pages 1328-1337.
    10. Degl'Innocenti, Marta & Kourtzidis, Stavros A. & Sevic, Zeljko & Tzeremes, Nickolaos G., 2017. "Bank productivity growth and convergence in the European Union during the financial crisis," Journal of Banking & Finance, Elsevier, vol. 75(C), pages 184-199.
    11. Lin, Tzu-Yu & Chiu, Sheng-Hsiung, 2013. "Using independent component analysis and network DEA to improve bank performance evaluation," Economic Modelling, Elsevier, vol. 32(C), pages 608-616.
    12. Akinci, Dervis Ahmet & Matousek, Roman & Radić, Nemanja & Stewart, Chris, 2013. "Monetary policy and the banking sector in Turkey," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 27(C), pages 269-285.
    13. Hakan Güneş & Dilem Yıldırım, 2016. "Estimating Cost Efficiency of Turkish Commercial Banks under Unobserved Heterogeneity with Stochastic Frontier Models," ERC Working Papers 1603, ERC - Economic Research Center, Middle East Technical University, revised Mar 2016.
    14. An, Qingxian & Yan, Hong & Wu, Jie & Liang, Liang, 2016. "Internal resource waste and centralization degree in two-stage systems: An efficiency analysis," Omega, Elsevier, vol. 61(C), pages 89-99.
    15. San-Jose, Leire & Retolaza, Jose Luis & Torres Pruñonosa, Jose, 2014. "Efficiency in Spanish banking: A multistakeholder approach analysis," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 32(C), pages 240-255.
    16. Benjamin Hampf, 2014. "Separating environmental efficiency into production and abatement efficiency: a nonparametric model with application to US power plants," Journal of Productivity Analysis, Springer, vol. 41(3), pages 457-473, June.
    17. repec:eee:ejores:v:261:y:2017:i:3:p:1170-1188 is not listed on IDEAS
    18. Halkos, George E. & Tzeremes, Nickolaos G., 2013. "Estimating the degree of operating efficiency gains from a potential bank merger and acquisition: A DEA bootstrapped approach," Journal of Banking & Finance, Elsevier, vol. 37(5), pages 1658-1668.
    19. Halkos, George & Tzeremes, Nickolaos & Kourtzidis, Stavros, 2014. "Measuring the efficiency of banking systems: A relational two-stage window DEA approach," MPRA Paper 55671, University Library of Munich, Germany.
    20. repec:eee:ecmode:v:67:y:2017:i:c:p:23-33 is not listed on IDEAS
    21. Demirbag, Mehmet & McGuinness, Martina & Akin, Ahmet & Bayyurt, Nizamettin & Basti, Eyup, 2016. "The professional service firm (PSF) in a globalised economy: A study of the efficiency of securities firms in an emerging market," International Business Review, Elsevier, vol. 25(5), pages 1089-1102.
    22. Fukuyama, Hirofumi & Matousek, Roman, 2017. "Modelling bank performance: A network DEA approach," European Journal of Operational Research, Elsevier, vol. 259(2), pages 721-732.

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