Impact of Green Credit Policy on the sustainable growth of pollution-intensive industries: Evidence from China

被引:11
|
作者
Xue, Xinhong [1 ]
Luo, Jun [1 ]
Wang, Zhongcheng [2 ]
Ding, Hua [1 ]
机构
[1] Anhui Univ Finance & Econ, Sch Finance, Bengbu, Peoples R China
[2] Anhui Univ Finance & Econ, Sch Int Trade & Econ, Bengbu, Peoples R China
关键词
Green credit policy; Sustainable development; Innovation; Carbon emissions; Pollution-intensive industries; ECONOMIC-GROWTH; CONSTRAINTS; INVESTMENT;
D O I
10.1016/j.cie.2023.109371
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Based on the dataset of Chinese A-share market firms between 2004 and 2019 and the implementation of the Green Credit Guidelines, this study explores the impact of green credit policy (GCP) on the sustainable development of pollution-intensive enterprises (PIEs) in terms of their financing, growth, green technology progress, and environment protection. Using a Difference-in-Difference model, the empirical analysis reveals that GCP inhibits PIEs' financing and investment, and reduces employment opportunities. It hinders PIEs' green innovation, but does not reduce their investment in green technology projects. Though it does not encourage investment in environment protection, it drives PIEs to discharge fewer types of pollutants. The effect of GCP on PIEs' growth and green technology progress is similar across various enterprises. However, state-owned enterprises, large firms and those located in the eastern region are more likely to discharge fewer types of pollutants with the implementation of GCP. This study suggests that green finance has some limitations when promoting the sustainable development of pollution intensive industries. It is necessary to accelerate the development of transition finance to support the green transformation of PIEs, and prevent potential economic and social risks such as job losses due to the shrinkage of PIEs.
引用
收藏
页数:11
相关论文
共 50 条
  • [31] The role of related variety and exporting on a firm's labour productivity in pollution-intensive industries in China
    Dou, Shanshan
    Shi, Junguo
    Sadowski, Bert
    Liu, Binghong
    Alemzero, David
    APPLIED ECONOMICS, 2024,
  • [32] Green credit policy and corporate deleveraging: Evidence from China
    Li, Cong
    Wang, Yiming
    Sun, Weiguo
    Yu, Yue
    Ding, Yuzhen
    FINANCE RESEARCH LETTERS, 2024, 66
  • [33] Investment location dynamics and influencing factors of pollution-intensive industries in China: A study of chemical firms
    Wu, Yinhao
    Miao, Changhong
    Wei, Yehua Dennis
    Miao, Jianming
    GROWTH AND CHANGE, 2021, 52 (04) : 1997 - 2015
  • [34] Spatial Differentiation and Influencing Factors of Water Pollution-Intensive Industries in the Yellow River Basin, China
    Du, Haibo
    Ji, Xuepeng
    Chuai, Xiaowei
    INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2022, 19 (01)
  • [35] Green Credit Policy and Investment Decisions: Evidence from China
    Ling, Xiaoting
    Yan, Lijuan
    Dai, Deming
    SUSTAINABILITY, 2022, 14 (12)
  • [36] Green credit policy and the cost of equity: evidence from China
    Li, You
    Shi, Yudie
    Wang, Qi
    Zhang, Jian
    Zhao, Keao
    APPLIED ECONOMICS LETTERS, 2024,
  • [37] Green credit policy and corporate diversification: evidence from China
    Su, Dongwei
    Xu, Shulin
    Yang, Zhen
    POST-COMMUNIST ECONOMIES, 2023, 35 (03) : 315 - 349
  • [38] Can the green credit policy achieve synergizing the reduction of pollution and carbon emissions? Evidence from China
    Liu, Xiaorui
    Guo, Wen
    Chen, Yuyu
    GLOBAL NEST JOURNAL, 2024, 27 (01):
  • [39] The Impact of Heterogeneous Environmental Regulations on Location Choices of Pollution-Intensive Firms in China
    Tang, Chenghui
    Dou, Jianmin
    FRONTIERS IN ENVIRONMENTAL SCIENCE, 2021, 9
  • [40] The Impact of Sustainable Transformational Leadership on Sustainable Innovation Ambidexterity: Empirical Evidence From Green Building Industries of China
    Tang, Yuan
    Chen, Yi-Jun
    Shao, Yun-Fei
    Cao, Qiao
    FRONTIERS IN PUBLIC HEALTH, 2022, 10