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Efficiency improvement from multiple perspectives: An application to Japanese banking industry

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  • Yang, Xiaopeng
  • Morita, Hiroshi
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    Abstract

    The current study focuses on efficiency improvement for banking systems from multiple perspectives, which have different definitions of input/output about various attributes of a banking system. In this research we utilize data envelopment analysis (DEA) and Nash bargaining game (NBG) theory to improve inefficient banks in order to: (1) Make the inefficient bank be the state of Pareto Optimality for multiple perspectives, which can avoid discontentment of some perspectives. (2) Improve a bank by changing its attributes and provide various improving schemes for decision makers. A numerical case study of Japanese banks is also given to show the results of equilibrium solution from multiple perspectives.

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    Bibliographic Info

    Article provided by Elsevier in its journal Omega.

    Volume (Year): 41 (2013)
    Issue (Month): 3 ()
    Pages: 501-509

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    Handle: RePEc:eee:jomega:v:41:y:2013:i:3:p:501-509

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    Related research

    Keywords: Multiple perspectives; Data envelopment analysis (DEA); Nash bargaining game (NBG);

    References

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    1. Reza Kiani Mavi & Ahmad Makui & Safar Fazli & Alireza Alinezhad, 2010. "A forecasting method in data envelopment analysis with group decision making," International Journal of Applied Management Science, Inderscience Enterprises Ltd, vol. 2(2), pages 152-168.
    2. Halkos, George & Salamouris, Dimitrios, 2001. "Efficiency Measures of the Greek Banking Sector: A Non-Parametric Approach for the Period 1997-1999," MPRA Paper 2858, University Library of Munich, Germany.
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    9. Avkiran, Necmi K., 2011. "Association of DEA super-efficiency estimates with financial ratios: Investigating the case for Chinese banks," Omega, Elsevier, vol. 39(3), pages 323-334, June.
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    11. Du, Juan & Liang, Liang & Chen, Yao & Cook, Wade D. & Zhu, Joe, 2011. "A bargaining game model for measuring performance of two-stage network structures," European Journal of Operational Research, Elsevier, vol. 210(2), pages 390-397, April.
    12. Miller, Merton H, 1977. "Debt and Taxes," Journal of Finance, American Finance Association, vol. 32(2), pages 261-75, May.
    13. Paradi, Joseph C. & Schaffnit, Claire, 2004. "Commercial branch performance evaluation and results communication in a Canadian bank--a DEA application," European Journal of Operational Research, Elsevier, vol. 156(3), pages 719-735, August.
    14. Avkiran, Necmi K. & Morita, Hiroshi, 2010. "Benchmarking firm performance from a multiple-stakeholder perspective with an application to Chinese banking," Omega, Elsevier, vol. 38(6), pages 501-508, December.
    15. Paradi, Joseph C. & Rouatt, Stephen & Zhu, Haiyan, 2011. "Two-stage evaluation of bank branch efficiency using data envelopment analysis," Omega, Elsevier, vol. 39(1), pages 99-109, January.
    16. Bergendahl, Goran & Lindblom, Ted, 2008. "Evaluating the performance of Swedish savings banks according to service efficiency," European Journal of Operational Research, Elsevier, vol. 185(3), pages 1663-1673, March.
    17. Rashmi Malhotra & D.K. Malhotra & C. Andrew Lafond, 2009. "Analysing financial services industry using data envelopment analysis," International Journal of Applied Management Science, Inderscience Enterprises Ltd, vol. 1(3), pages 217-246.
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    Cited by:
    1. Chang, Dong-Shang & Liu, Wenrong & Yeh, Li-Ting, 2013. "Incorporating the learning effect into data envelopment analysis to measure MSW recycling performance," European Journal of Operational Research, Elsevier, vol. 229(2), pages 496-504.
    2. Kao, Chiang & Liu, Shiang-Tai, 2014. "Multi-period efficiency measurement in data envelopment analysis: The case of Taiwanese commercial banks," Omega, Elsevier, vol. 47(C), pages 90-98.

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