The impact of green credit policy on heavily polluting enterprises' financial risk: evidence from China

被引:0
|
作者
Gu, Xuesong [1 ]
Wang, Yuanhui [1 ]
Xing, Xiaoyun [1 ]
Deng, Jing [1 ]
机构
[1] Beijing Forestry Univ, Sch Econ & Management, Beijing, Peoples R China
关键词
Green credit policy; Financial risk; Heavily polluting enterprises; Masking effect; Quasi-natural experiment;
D O I
10.1007/s10098-024-02946-4
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
It is imperative to enhance the incentive mechanism and institutional framework of green credit policy in order to advance the green transformation of the economy and accomplish the objectives of carbon neutrality and carbon peaking. Based on the China's 2012 Green Credit Guidelines, this study constructs quasi-natural experiments over two distinct time periods, using as samples a group of A-share listed heavily polluting enterprises relative to non-heavily polluting enterprises. The study arrives at the subsequent conclusions. To begin with, green credit policy substantially mitigates the financial risk that heavily polluting enterprises face, specifically pertaining to funding, operational and revenue risks. As the green credit policy progresses, the impact of the policy intensifies. Second, the effect of green credit policy's reduction in financial risk would be weakened by the increase in financing costs. Furthermore, the central and western regions, as well as non-state-owned enterprises, are disproportionately affected by green credit policy. The findings offer valuable perspectives on how to advance green credit policy and ultimately drive enterprise transformation; thus, they serve as a point of reference for the government in its efforts to implement green credit policy effectively. It is recommended that policymakers regarding green credits integrate incentives and constraints in order to simultaneously promote environmental management and enterprise development.
引用
收藏
页数:19
相关论文
共 50 条
  • [1] Green credit policy and stock price crash risk of heavily polluting enterprises: Evidence from China
    Shao, Hanhua
    Wang, Yuansheng
    Wang, Yao
    Li, Yuanjia
    ECONOMIC ANALYSIS AND POLICY, 2022, 75 : 271 - 287
  • [2] Green credit policy and bankruptcy risk of heavily polluting enterprises
    Li, Bing
    Tang, Kai
    FINANCE RESEARCH LETTERS, 2024, 67
  • [3] Impact of green credit policy on energy efficiency: Empirical evidence from heavily polluting enterprises
    Pan, Ting
    Lin, Boqiang
    TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE, 2025, 212
  • [4] Green credit guidelines and corporate financialization: Evidence from heavily polluting enterprises in China
    Song, Zhihui
    Jia, Qinmin
    He, Zexiu
    FINANCE RESEARCH LETTERS, 2025, 76
  • [5] Can the green credit policy stimulate green innovation of heavily polluting enterprises in China?
    Xiong, Xiaojuan
    Masron, Tajul Ariffin
    Gondo, Tutik Wiryanti
    FRONTIERS IN ENVIRONMENTAL SCIENCE, 2023, 10
  • [6] Research on the Impact of Green Credit Policy on the Intelligent Transformation of Heavily Polluting Enterprises
    Zhou, Xuan
    Yuan, Dejia
    Geng, Zheng Wei
    POLISH JOURNAL OF ENVIRONMENTAL STUDIES, 2025, 34 (01):
  • [7] Does green credit policy mitigate financialization? Evidence from Chinese heavily polluting enterprises
    Zhang, Yu
    Xie, Huobao
    Li, Jie
    ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2023, 30 (03) : 7380 - 7401
  • [8] Does green credit policy mitigate financialization? Evidence from Chinese heavily polluting enterprises
    Yu Zhang
    Huobao Xie
    Jie Li
    Environmental Science and Pollution Research, 2023, 30 : 7380 - 7401
  • [9] GREEN CREDIT POLICY AND THE GREEN SUSTAINABLE DEVELOPMENT OF HEAVILY POLLUTING ENTERPRISES
    Zheng, Shuxia
    Zhang, Xiaoming
    ENVIRONMENTAL ENGINEERING AND MANAGEMENT JOURNAL, 2023, 22 (11): : 1961 - 1972
  • [10] Green credit policy and the liquidity risks of heavily polluting enterprises
    Wang, Tuo
    Liu, Xiaoxing
    Guo, Haochen
    ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2023, 30 (13) : 36928 - 36937