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Multi-directional efficiency analysis of efficiency patterns in Chinese banks 1997–2008

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  • Asmild, Mette
  • Matthews, Kent

Abstract

DEA-type efficiency studies are often used to investigate levels of efficiencies, differences in those levels between subgroups within a data set and possible determinants of such differences. In the current paper we show how differences in the efficiency patterns between different subgroups within a data set can be investigated using the more recent MEA methodology.

Suggested Citation

  • Asmild, Mette & Matthews, Kent, 2012. "Multi-directional efficiency analysis of efficiency patterns in Chinese banks 1997–2008," European Journal of Operational Research, Elsevier, vol. 219(2), pages 434-441.
  • Handle: RePEc:eee:ejores:v:219:y:2012:i:2:p:434-441 DOI: 10.1016/j.ejor.2012.01.001
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    References listed on IDEAS

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    Citations

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    Cited by:

    1. Kapelko, Magdalena & Oude Lansink, Alfons, 2017. "Dynamic multi-directional inefficiency analysis of European dairy manufacturing firms," European Journal of Operational Research, Elsevier, vol. 257(1), pages 338-344.
    2. repec:spr:cejnor:v:26:y:2018:i:1:d:10.1007_s10100-017-0473-z is not listed on IDEAS
    3. Mette Asmild & Tomas Baležentis & Jens Hougaard, 2016. "Multi-directional program efficiency: the case of Lithuanian family farms," Journal of Productivity Analysis, Springer, vol. 45(1), pages 23-33, February.
    4. Yaisawarng, Suthathip & Ng, Ying Chu, 2014. "The impact of higher education reform on research performance of Chinese universities," China Economic Review, Elsevier, vol. 31(C), pages 94-105.
    5. Zhang, Ning & Kong, Fanbin & Choi, Yongrok & Zhou, P., 2014. "The effect of size-control policy on unified energy and carbon efficiency for Chinese fossil fuel power plants," Energy Policy, Elsevier, vol. 70(C), pages 193-200.
    6. Ke Wang & Shiwei Yu & Mo-Jie Li & Yi-Ming Wei, 2015. "Multi-directional efficiency analysis-based regional industrial environmental performance evaluation of China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 75(2), pages 273-299, February.
    7. 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.
    8. Qiubin Huang & Jakob de Haan & Bert Scholtens, 2015. "Analyzing Systemic Risk in the Chinese Banking System," CESifo Working Paper Series 5513, CESifo Group Munich.
    9. Dong, Yizhe & Firth, Michael & Hou, Wenxuan & Yang, Weiwei, 2016. "Evaluating the performance of Chinese commercial banks: A comparative analysis of different types of banks," European Journal of Operational Research, Elsevier, vol. 252(1), pages 280-295.
    10. Tzeremes, Nickolaos G., 2015. "Efficiency dynamics in Indian banking: A conditional directional distance approach," European Journal of Operational Research, Elsevier, vol. 240(3), pages 807-818.
    11. Asmild, Mette & Kronborg, Dorte & Matthews, Kent, 2016. "Introducing and modeling inefficiency contributions," European Journal of Operational Research, Elsevier, vol. 248(2), pages 725-730.
    12. Huang, Tai-Hsin & Lin, Chung-I & Chen, Kuan-Chen, 2017. "Evaluating efficiencies of Chinese commercial banks in the context of stochastic multistage technologies," Pacific-Basin Finance Journal, Elsevier, vol. 41(C), pages 93-110.
    13. Huang, Wei & Eling, Martin, 2013. "An efficiency comparison of the non-life insurance industry in the BRIC countries," European Journal of Operational Research, Elsevier, vol. 226(3), pages 577-591.
    14. Wang, Ke & Wei, Yi-Ming & Zhang, Xian, 2013. "Energy and emissions efficiency patterns of Chinese regions: A multi-directional efficiency analysis," Applied Energy, Elsevier, pages 105-116.
    15. Wang, Ke & Wei, Yi-Ming & Zhang, Xian, 2013. "Energy and emissions efficiency patterns of Chinese regions: A multi-directional efficiency analysis," Applied Energy, Elsevier, pages 105-116.
    16. Mette Asmild & Tomas Baležentis & Jens Leth Hougaard, 2016. "Multi-directional productivity change: MEA-Malmquist," Journal of Productivity Analysis, Springer, vol. 46(2), pages 109-119, December.
    17. Baležentis, Tomas & De Witte, Kristof, 2015. "One- and multi-directional conditional efficiency measurement – Efficiency in Lithuanian family farms," European Journal of Operational Research, Elsevier, vol. 245(2), pages 612-622.

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