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Ranking Chinese commercial banks based on their expected impact on structural efficiency

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  • Zhu, Ning
  • Hougaard, Jens Leth
  • Yu, Zhiqian
  • Wang, Bing

Abstract

This paper examines the performance of 16 major Chinese commercial banks. In particular, we employ a new way of ranking the banks based on their average marginal impact on structural efficiency. We find important differences between our ranking results and that of the conventional super-efficiency approach. We argue that in case of Chinese commercial banks the new way of ranking the banks is more in line with expectations based on various key performance indicators. The findings further reconfirm that the performance of the large commercial banks surpass that of the small to medium sized commercial banks.

Suggested Citation

  • Zhu, Ning & Hougaard, Jens Leth & Yu, Zhiqian & Wang, Bing, 2020. "Ranking Chinese commercial banks based on their expected impact on structural efficiency," Omega, Elsevier, vol. 94(C).
    • Handle: RePEc:eee:jomega:v:94:y:2020:i:c:s0305048318309940
    DOI: 10.1016/j.omega.2019.03.007
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    Cited by:

    1. Chen, Yu & Gao, Yu & Shu, Lei & Zhu, Xiaonan, 2023. "Network effects on risk co-movements: A network quantile autoregression-based analysis," Finance Research Letters, Elsevier, vol. 56(C).
    2. Streimikis, Justas & Yu, Zhiqian & Zhu, Ning & Baležentis, Tomas, 2022. "Achievements of the European Union member states toward the development of sustainable agriculture: A contribution to the structural efficiency approach," Technological Forecasting and Social Change, Elsevier, vol. 178(C).
    3. Sunil Mohanty & Hong-Jen Lin, 2021. "Efficiency in China’s Banking Sector: A Comparative Analysis of Pre- and Post-Basel II Eras," Review of Pacific Basin Financial Markets and Policies (RPBFMP), World Scientific Publishing Co. Pte. Ltd., vol. 24(02), pages 1-29, June.
    4. Jiawei Yang, 2023. "Disentangling the sources of bank inefficiency: a two-stage network multi-directional efficiency analysis approach," Annals of Operations Research, Springer, vol. 326(1), pages 369-410, July.
    5. Nengqi Pan & Millicent Chang & Xiaofei Pan, 2024. "Career concerns and earnings management in government‐owned banks," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 64(1), pages 475-506, March.

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    More about this item

    Keywords

    Banking; Marginal contribution change; Ranking method; Data envelopment analysis; Structural efficiency;
    All these keywords.

    JEL classification:

    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • 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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