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Author:

Li, Jingyu (Li, Jingyu.) | Guo, Xiangyuan (Guo, Xiangyuan.) | Xie, Qiwei (Xie, Qiwei.) (Scholars:谢启伟) | Sun, Xiaolei (Sun, Xiaolei.)

Indexed by:

SSCI Scopus

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.

Keyword:

Green credit Preference Commercial banks Efficiency evaluation Multi-period leader-follower model

Author Community:

  • [ 1 ] [Li, Jingyu]Beijing Univ Technol, Sch Econ & Management, Beijing 100124, Peoples R China
  • [ 2 ] [Guo, Xiangyuan]Beijing Univ Technol, Sch Econ & Management, Beijing 100124, Peoples R China
  • [ 3 ] [Xie, Qiwei]Beijing Univ Technol, Sch Econ & Management, Beijing 100124, Peoples R China
  • [ 4 ] [Sun, Xiaolei]Chinese Acad Sci, Inst Sci & Dev, Beijing 100190, Peoples R China
  • [ 5 ] [Sun, Xiaolei]Univ Chinese Acad Sci, Sch Publ Policy & Management, Beijing 100049, Peoples R China

Reprint Author's Address:

  • [Sun, Xiaolei]Chinese Acad Sci, Inst Sci & Dev, Beijing 100190, Peoples R China;;

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Source :

INTERNATIONAL REVIEW OF FINANCIAL ANALYSIS

ISSN: 1057-5219

Year: 2024

Volume: 96

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 8

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