The Impact of City Commercial Banks' Green Credit on Operational Performance—Evidence from Commercial Banks in Guangxi
Authors
Cuiying Pan1, *, Xuemei Lee1
1College of Digital Economics, NANNING University, No.8 Longting Road, Guangxi, China
*Corresponding author.
Email: pancuiyingpcy@sina.com
Corresponding Author
Cuiying Pan
Available Online 29 December 2022.
- DOI
- 10.2991/978-94-6463-042-8_96How to use a DOI?
- Keywords
- Business performance; Green credit; Random Effects Model
- Abstract
In order to study the correlation between the operation performance of city commercial banks in Guangxi and the green credit business, the paper organizes the seven-year data of Guilin Bank, Liuzhou Bank and Guangxi Beibu Gulf Bank to establish panel data, through F test and Hausman test regression analysis Determine and select a random effect model to study the impact of Guangxi city commercial banks' business performance, and find that the development of green credit in Guangxi city commercial banks will have a negative impact in the short term, and a positive impact in the long-term development process.
- 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
TY - CONF AU - Cuiying Pan AU - Xuemei Lee PY - 2022 DA - 2022/12/29 TI - The Impact of City Commercial Banks' Green Credit on Operational Performance—Evidence from Commercial Banks in Guangxi BT - Proceedings of the 2022 International Conference on mathematical statistics and economic analysis (MSEA 2022) PB - Atlantis Press SP - 668 EP - 673 SN - 2352-538X UR - https://doi.org/10.2991/978-94-6463-042-8_96 DO - 10.2991/978-94-6463-042-8_96 ID - Pan2022 ER -