Measuring congestion with undesirable outputs in China’s banking industry

Xian-tong Ren (), Chen Jiang (), Yuan Cui (), Guo-liang Yang () and Jean-Michel Sahut ()
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Xian-tong Ren: Chinese Academy of Sciences
Chen Jiang: Chinese Academy of Sciences
Yuan Cui: Nanjing University of Posts and Telecommunications
Guo-liang Yang: Chinese Academy of Sciences
Jean-Michel Sahut: IDRAC Business School

Review of Quantitative Finance and Accounting, 2025, vol. 65, issue 1, No 12, 436 pages

Abstract: Abstract Congestion with undesirable outputs is known as the phenomenon where by overinvestment in inputs leads to a decrease in desirable outputs and an increase in undesirable outputs. This paper proposes a new method for measuring congestion which considers undesirable outputs and the joint weak disposability between desirable outputs and undesirable outputs, a consideration which has been neglected in previous congestion studies, based on data envelopment analysis. The method proposed herein is then applied to the case of China’s banking industry, revealing that the main cause of congestion in China’s banking industry is overinvestment in fixed inputs and number of employees. This paper also analyzes the congestion in different types of banks to help for further analysis and decision-making.

Keywords: Data envelopment analysis; Congestion; Undesirable output; Interval data; China’s banking industry (search for similar items in EconPapers)
JEL-codes: G21 G32 (search for similar items in EconPapers)
Date: 2025
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DOI: 10.1007/s11156-024-01380-3

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