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Evolution of the Efficiency of Nationwide Commercial Banks in China Based on an SBM-Undesirable Model and DEA Window Analysis

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  • Lei Guo
  • Sanggyun Na
  • Xianhua Tan
  • Pengfei Gui
  • Congchong Liu

Abstract

In recent years, Chinese economic development has slowed down and competition in the financial industry has become increasingly fierce. The purpose of this paper is to study the efficiency characteristics of China’s banking industry in the new environment and provide suggestions for banks to improve efficiency. This paper uses a data envelopment analysis (DEA) SBM-undesirable model and window analysis to measure the technical efficiency of 13 nationwide commercial banks in China during the period from 2008 to 2017. Furthermore, the convergence characteristics of bank technical efficiency are examined. The empirical results show that state-owned banks were more efficient than joint stock banks before 2012. After 2012, state-owned banks were less efficient than joint stock banks. Finally, this paper explores the influential factors of technical efficiency. Noninterest income ratio, net interest margin, growth rate of total investment in fixed assets, and consumer price index have a significant positive impact on bank efficiency. The cost-to-income ratio has a significant negative impact on bank efficiency. Further research using the threshold model shows that noninterest income ratio has a threshold effect on bank efficiency.

Suggested Citation

  • Lei Guo & Sanggyun Na & Xianhua Tan & Pengfei Gui & Congchong Liu, 2020. "Evolution of the Efficiency of Nationwide Commercial Banks in China Based on an SBM-Undesirable Model and DEA Window Analysis," Mathematical Problems in Engineering, Hindawi, vol. 2020, pages 1-12, May.
  • Handle: RePEc:hin:jnlmpe:4682790
    DOI: 10.1155/2020/4682790
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    Cited by:

    1. Riju Chaudhary & H. D. Arora, 2022. "Efficiency evaluation of public and nationalized Indian banks using data envelopment analysis," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 13(1), pages 469-478, February.

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