Proceedings of the 2022 International Conference on Bigdata Blockchain and Economy Management (ICBBEM 2022)

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Efficiency Measurement of China’s Commercial Banks Under the Background of Digital Economy–Based on DEA-Malmquist Model

Authors
Mao Wang1, *
1School of Economics and Management, Beijing JiaoTong University, Beijing, China
*Corresponding author. Email: maom_idyllic@163.com
Corresponding Author
Mao Wang
Available Online 20 December 2022.
DOI
10.2991/978-94-6463-030-5_49How to use a DOI?
Keywords
Commercial Bank; Data Envelopment Analysis; Malmquist Productivity Index; Bank Efficiency
Abstract

With the wide spread of China’s digital economy, the banking is also in the development of continuous innovation and gradually towards intelligent. As the pillar of the banking, how commercial banks adapt to the background of digital economy to play a more meaningful role and produce more efficient is worth in-depth study. Collecting the data of 16 commercial banks in 2014–2020, the paper gives actual measurement on bank efficiency by using the Data Envelopment Analysis (DEA), and compares the efficiency size and change trend of commercial banks with different attributes. It is found that for state-owned commercial banks and national joint-stock commercial banks, the core reason for the reduction of comprehensive efficiency is scale efficiency, while for urban commercial banks, the pure technical efficiency mainly leads to their reduction of comprehensive efficiency. Moreover, the overall level of total factor productivity of banks in China shows the result of rising, and technological progress factor plays an indispensable role in the growth process. Finally, the paper provides some suggestions to further perfect the efficiency and development direction of China’s commercial banks.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2022 International Conference on Bigdata Blockchain and Economy Management (ICBBEM 2022)
Series
Atlantis Highlights in Intelligent Systems
Publication Date
20 December 2022
ISBN
10.2991/978-94-6463-030-5_49
ISSN
2589-4919
DOI
10.2991/978-94-6463-030-5_49How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Mao Wang
PY  - 2022
DA  - 2022/12/20
TI  - Efficiency Measurement of China’s Commercial Banks Under the Background of Digital Economy–Based on DEA-Malmquist Model
BT  - Proceedings of the 2022 International Conference on Bigdata Blockchain and Economy Management (ICBBEM 2022)
PB  - Atlantis Press
SP  - 482
EP  - 493
SN  - 2589-4919
UR  - https://doi.org/10.2991/978-94-6463-030-5_49
DO  - 10.2991/978-94-6463-030-5_49
ID  - Wang2022
ER  -