Impact of corporate carbon emission reduction on financing constraints

被引:0
|
作者
Li, Rongjin [1 ]
Wang, Kai [2 ]
Chen, Siying [1 ]
Lu, Weixue [2 ]
机构
[1] Anhui Agr Univ, Sch Econ & Management, Hefei 230036, Peoples R China
[2] Anhui Agr Univ, Sch Sci, Hefei 230036, Peoples R China
关键词
Corporate carbon emission reduction; Financing constraints; Commercial credit; Transparency of information; Government subsidies; Heterogeneity; INFORMATION DISCLOSURE; COST; CONSEQUENCES; MANAGEMENT; COMPANIES;
D O I
10.1007/s11356-023-30309-x
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The carbon emission reduction behaviour of enterprises is a crucial element for achieving the "double-carbon" target. Based on the panel data of China's Shanghai and Shenzhen A-share nonfinancial listed companies from 2008 to 2022, this paper explores the impact of corporate carbon emission reduction on financing constraints using the fixed effect model and further dissects the path and heterogeneity of its impact. The results show that carbon emission reduction can significantly alleviate the level of financing constraints. The path test shows that corporate carbon emission reduction alleviates financing constraints through gaining business credit, improving information transparency, and increasing government subsidies. The heterogeneity analysis shows that carbon emission reduction in less economically developed regions, non-heavily polluting industries, and nonstate-owned enterprises has a better effect on alleviating financing constraints than in economically developed regions, heavily polluting industries and state-owned enterprises. Additionally, relevant policy recommendations are put forward, which are conducive to promoting enterprises to actively reduce carbon emissions and facilitate the achievement of the dual carbon goal.
引用
收藏
页码:115228 / 115245
页数:18
相关论文
共 50 条
  • [1] Impact of corporate carbon emission reduction on financing constraints
    Rongjin Li
    Kai Wang
    Siying Chen
    Weixue Lu
    Environmental Science and Pollution Research, 2023, 30 : 115228 - 115245
  • [2] Impact of carbon information disclosure on corporate financing constraints: Evidence from the Carbon Disclosure Project
    Huang, Heshu
    Zou, Yuchen
    Wang, Liukai
    Wang, Weiqing
    Ren, Xiaohong
    AUSTRALIAN JOURNAL OF MANAGEMENT, 2025, 50 (01) : 104 - 131
  • [3] The Impact of Corporate Innovation on Environmental Performance: The Moderating Effect of Financing Constraints and Government Subsidies
    Deng, Hui
    Li, Chuang
    Wang, Liping
    SUSTAINABILITY, 2022, 14 (18)
  • [4] Carbon emission regulation and corporate financing constraints: A quasi-natural experiment based on China's carbon emissions trading mechanism
    Zhang, Pengcheng
    Qi, Jiayin
    JOURNAL OF CONTEMPORARY ACCOUNTING & ECONOMICS, 2025, 21 (01)
  • [5] Impact of corporate social responsibility on carbon emission reduction in supply chains
    Zhou, Weijie
    Zhu, Jianhua
    Zhang, Ce
    CHINESE MANAGEMENT STUDIES, 2024, 18 (02) : 454 - 478
  • [6] Green governance structure, ownership characteristics, and corporate financing constraints
    Li, Weian
    Zheng, Minna
    Zhang, Yaowei
    Cui, Guangyao
    JOURNAL OF CLEANER PRODUCTION, 2020, 260 (260)
  • [7] Customer information disclosure and corporate financing constraints
    Wang, Xin
    Shan, Yuan George
    Song, Jianbo
    INTERNATIONAL REVIEW OF FINANCIAL ANALYSIS, 2023, 89
  • [8] The impact of corporate environmental disclosure quality on financing constraints: the moderating role of internal control
    Meng, Xiangsong
    Chen, Lei
    Gou, Dongxiang
    ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2023, 30 (12) : 33455 - 33474
  • [9] Carbon Market and corporate financing behavior-From the perspective of constraints and demand
    Wu, Yizhong
    Liu, Xiaoxing
    Tang, Chun
    ECONOMIC ANALYSIS AND POLICY, 2024, 81 : 873 - 889
  • [10] Fintech, financing constraints and corporate green innovation
    Li, Yuan
    Chu, Erming
    Nie, Shiqi
    Peng, Xiaoyan
    Yi, Yuyao
    INTERNATIONAL REVIEW OF FINANCIAL ANALYSIS, 2024, 96