Dynamic Network Data Envelopment Analysis with a sequential structure and behavioural-causal analysis:application to the Chinese banking industry

Fukuyama, Hirofumi and Tsionas, Mike and Tan, Yong (2023) Dynamic Network Data Envelopment Analysis with a sequential structure and behavioural-causal analysis:application to the Chinese banking industry. European Journal of Operational Research, 307 (3). pp. 1360-1373. ISSN 0377-2217

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Abstract

The current study contributes to the literature in efficiency analysis in two ways: 1) we build on the existing studies in Dynamic Network Data Envelopment Analysis (DNDEA) by proposing a sequential structure incorporating dual-role characteristics of the production factors; 2) we initiate the efforts to complement the proposal of our innovative sequential DNDEA through a behavioural-causal analysis. The proposal of this statistical analysis is very important considering it does not only validate the proposal of the efficiency analysis but also our practice can be generalized to the future studies dealing with designing innovative production process. Finally, we apply these two different analyses to the banking industry. Using a sample of 43 Chinese commercial banks including five different ownership types (state-owned, joint-stock, city, rural, and foreign banks) between 2010 and 2018, we find that the inefficiency level is around 0.14, although slight volatility has been observed. We find that the highest efficiency is dominated by state-owned banks, and although foreign banks are less efficient than joint-stock banks, they are more efficient than city banks. Finally, we find that rural banks have the highest inefficiency.

Item Type:
Journal Article
Journal or Publication Title:
European Journal of Operational Research
Uncontrolled Keywords:
/dk/atira/pure/subjectarea/asjc/1800/1802
Subjects:
?? INFORMATION SYSTEMS AND MANAGEMENTMANAGEMENT SCIENCE AND OPERATIONS RESEARCHMODELING AND SIMULATIONGENERAL COMPUTER SCIENCEINDUSTRIAL AND MANUFACTURING ENGINEERINGMODELLING AND SIMULATIONMANAGEMENT SCIENCE AND OPERATIONS RESEARCHINFORMATION SYSTEMS AND MA ??
ID Code:
177103
Deposited By:
Deposited On:
11 Oct 2022 09:55
Refereed?:
Yes
Published?:
Published
Last Modified:
16 Sep 2023 02:34