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Are state-owned banks less efficient? A long- vs. short-run Data Envelopment Analysis of Chinese banks

Author

Listed:
  • W.W. Cooper
  • Timothy W. Ruefli
  • Honghui Deng
  • Jun Wu
  • Zhongyi Zhang

Abstract

This paper applies Data Envelopment Analysis (DEA) to determine relative efficiencies of state-owned and joint stock banks in Chongqing, China, during the period 1996–2000. A distinction is made between long- and short-run efficiencies and inefficiencies to allow for the fact that joint stock banks are relatively new to China have more modern management and access to international finance markets while state-owned banks generally use government funding. Using Mann–Whitney rank order statistics produces results in favour of joint stock banks in the short-run but not in the long-run. A relatively new way of distinguishing between long- and short-run performances is utilised that avoids the need for identifying lengthy time periods and data associated with long-run performances.

Suggested Citation

  • W.W. Cooper & Timothy W. Ruefli & Honghui Deng & Jun Wu & Zhongyi Zhang, 2008. "Are state-owned banks less efficient? A long- vs. short-run Data Envelopment Analysis of Chinese banks," International Journal of Operational Research, Inderscience Enterprises Ltd, vol. 3(5), pages 533-556.
    • Handle: RePEc:ids:ijores:v:3:y:2008:i:5:p:533-556
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    Citations

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    Cited by:

    1. 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.
    2. Kao, Ling-Jing & Lu, Chi-Jie & Chiu, Chih-Chou, 2011. "Efficiency measurement using independent component analysis and data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 210(2), pages 310-317, April.
    3. L-J Kao & C-C Lu & C-C Chiu, 2011. "The training institution efficiency of the semiconductor institute programme in Taiwan—application of spatiotemporal ICA with DEA approach," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 62(12), pages 2162-2172, December.
    4. repec:cor:louvrp:-2393 is not listed on IDEAS
    5. Ioannis E. Tsolas, 2020. "Financial Performance Assessment of Construction Firms by Means of RAM-Based Composite Indicators," Mathematics, MDPI, vol. 8(8), pages 1-16, August.
    6. Ioannis Tsolas, 2015. "Firm credit risk evaluation: a series two-stage DEA modeling framework," Annals of Operations Research, Springer, vol. 233(1), pages 483-500, October.
    7. Necmi Kemal Avkiran, 2017. "An illustration of multiple-stakeholder perspective using a survey across Australia, China and Japan," Annals of Operations Research, Springer, vol. 248(1), pages 93-121, January.
    8. HATAMI-MARBINI, Adel & TAVANA, Madjid & EMROUZNEJAD, Ali & SAATI, Saber, 2012. "Efficiency measurement in fuzzy additive data envelopment analysis," LIDAM Reprints CORE 2393, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    9. Meng, Conghui & Du, Xiaoyun & Zhu, Mengcheng & Ren, Yitian & Fang, Kai, 2023. "The static and dynamic carbon emission efficiency of transport industry in China," Energy, Elsevier, vol. 274(C).

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