绿色信贷与系统性风险:政策与规模视角

IF 3.8 3区 经济学 Q1 BUSINESS, FINANCE
Chien-Chiang Lee , Qian Xiao , Xiaoming Zhang
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引用次数: 0

摘要

在提出排放峰值和碳中和的双重目标后,中国对绿色金融的发展更加重视。作为实施绿色信贷政策的主要渠道,商业银行普遍关注本行业系统性风险的影响。本研究基于2008 - 2021年中国上市商业银行的数据,采用条件风险值(CoVaR)模型对系统性风险进行测度。实证结果表明,实施绿色信贷政策降低了银行的系统风险,而增加绿色信贷规模显著降低了银行整体、大型国有商业银行和股份制商业银行的系统风险水平。研究结果进一步说明,商业银行在积极发放绿色信贷的同时,通过降低资本充足率和不良贷款率来缓解银行的系统性风险。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Green credit and systemic risk: From the perspectives of policy and scale
After putting forward the twin goals of peak emissions and carbon neutrality, China is now paying greater attention to green finance development. As the main conduit for implementing green credit policy, commercial banks generally focus on the impact of systemic risk within their own industry. Based on data from listed commercial banks in China from 2008 to 2021, this research uses the conditional value at risk (CoVaR) model to measure systemic risk. The empirical results show that implementing green credit policy lowers banks’ systemic risk, whereas increasing the scale of green credit significantly cuts the systemic risk level of banks overall, large state-owned commercial banks, and joint-stock commercial banks. The findings further illustrate that commercial banks alleviate the systemic risks of banks by reducing the capital adequacy ratio and the non-performing loan ratio while actively issuing green credit.
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来源期刊
CiteScore
7.30
自引率
8.30%
发文量
168
期刊介绍: The focus of the North-American Journal of Economics and Finance is on the economics of integration of goods, services, financial markets, at both regional and global levels with the role of economic policy in that process playing an important role. Both theoretical and empirical papers are welcome. Empirical and policy-related papers that rely on data and the experiences of countries outside North America are also welcome. Papers should offer concrete lessons about the ongoing process of globalization, or policy implications about how governments, domestic or international institutions, can improve the coordination of their activities. Empirical analysis should be capable of replication. Authors of accepted papers will be encouraged to supply data and computer programs.
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