EconPapers    
Economics at your fingertips  
 

Green credit efficiency of commercial banks in China: Evidence from a multi-period leader-follower model with preference

Jingyu Li, Xiangyuan Guo, Qiwei Xie and Xiaolei Sun

International Review of Financial Analysis, 2024, vol. 96, issue PA

Abstract: The efficiency of green credit in commercial banks is important for promoting green economic development. But seldom studies have investigated the efficiency evaluation of banking green credit activities. To fill this gap, this paper proposes a model for assessing the efficiency of green credit and further investigates the factors that potentially affect the efficiencies. The evaluation model for green credit efficiency is built through a multi-period leader-follower framework by innovatively considering green credit as an inherent input-output indicator with preference. The results demonstrate that the green credit efficiency of the Chinese commercial banks in the profit earning stage generally surpasses that in the deposit conversion stage. Throughout the multi-period analysis, the majority of banks, especially those that are state-owned, have improved their deposit conversion efficiency from 2017 to 2021. The efficiency in the profit earning stage for all banks significantly declined due to the impact of COVID-19. Bank size, asset quality, and macroeconomic conditions have significant influences on green credit efficiency. However, their influences vary heterogeneously across different stages and types of banks.

Keywords: Green credit; Multi-period leader-follower model; Preference; Efficiency evaluation; Commercial banks (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S1057521924005362
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:finana:v:96:y:2024:i:pa:s1057521924005362

DOI: 10.1016/j.irfa.2024.103604

Access Statistics for this article

International Review of Financial Analysis is currently edited by B.M. Lucey

More articles in International Review of Financial Analysis from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2025-03-19
Handle: RePEc:eee:finana:v:96:y:2024:i:pa:s1057521924005362