Proceedings of the 2017 2nd International Conference on Machinery, Electronics and Control Simulation (MECS 2017)

Research on The Efficiency of Commercial Bank Branches Based on Weight-restricted DEA Model

Authors
Yunqiang Jia, Xuewei Li, Wenjun Wang, Chunxin Jiang
Corresponding Author
Yunqiang Jia
Available Online June 2016.
DOI
10.2991/mecs-17.2017.13How to use a DOI?
Keywords
Bank efficiency, DEA model, Input-output efficiency.
Abstract

Financial industry is facing unprecedented challenges, especially fierce competition between commercial banks, so it is urgent for us to solve a problem of comprehensive analysis and appropriate suggestions for the development of commercial banks. This survey uses a commercial bank's input and output data, provides an overall efficiency ranking of bank branches by calculating through the traditional DEA model(C2R), DEA Overlapping Efficiency Model and Weight-restricted DEA model. The experimental results provide the basis for understanding of each branch, which is affiliated to the commercial bank.

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2017 2nd International Conference on Machinery, Electronics and Control Simulation (MECS 2017)
Series
Advances in Engineering Research
Publication Date
June 2016
ISBN
10.2991/mecs-17.2017.13
ISSN
2352-5401
DOI
10.2991/mecs-17.2017.13How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Yunqiang Jia
AU  - Xuewei Li
AU  - Wenjun Wang
AU  - Chunxin Jiang
PY  - 2016/06
DA  - 2016/06
TI  - Research on The Efficiency of Commercial Bank Branches Based on Weight-restricted DEA Model
BT  - Proceedings of the 2017 2nd International Conference on Machinery, Electronics and Control Simulation (MECS 2017)
PB  - Atlantis Press
SN  - 2352-5401
UR  - https://doi.org/10.2991/mecs-17.2017.13
DO  - 10.2991/mecs-17.2017.13
ID  - Jia2016/06
ER  -