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主办:中国优选法统筹法与经济数学研究会
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Chinese Journal of Management Science ›› 2019, Vol. 27 ›› Issue (8): 26-36.doi: 10.16381/j.cnki.issn1003-207x.2019.08.003

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The Operational Efficiency and Analysis of Influencing Factors of Chinese Commercial Bank: Perspective of “Triple Bottom Line”

XIA Qiong, YANG Feng, WU Hua-qing   

  1. The School of Economics, Hefei University of Technology, Hefei 230009, China
  • Received:2018-02-01 Revised:2018-05-29 Online:2019-08-20 Published:2019-08-27

Abstract: The bank industry has played a very important role in our economy. With the need of sustainable development, the evaluation of bank efficiency is hard to be proceded from a single dimension. Based on the concept of the triple bottom line, the indexes are proposed to evaluate economic, social and environmental efficiency of Chinese commercial bank, respectively. SBM-DEA models are adopted to gauge the efficiency of bank industry in three dimensions. SBM-Pearson models are used to examine the relationships of the three efficiency scores. SBM-SUR models are selected to identify the factors of influencing the three efficiency scores. The results show that:(1) the joint-stock commercial banks and the urban commercial banks appear to be more efficient than the state-owned commercial banks in economic and social efficiency, but in the aspect of environmental efficiency, the state-owned commercial banks become more efficient than others. (2) there is no conflict of the three efficiency scores in Chinese commercial bank and the relationship among economic, social, and environmental efficiency is significant positive, but we have not found any significant relations between social and environmental efficiency. (3) in terms of influencing factors, the asset size, operational ages, types of bank and return on asset have significant positive influence on economic efficiency; different types of bank have different influence on social efficiency, and meanwhile, the asset size and types of bank also have significant influence on environmental efficiency.

Key words: commercial bank, operational efficiency, data envelopment analysis, triple bottom line

CLC Number: