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The Higher Carbon Intensity of Loans, the Higher Non-Performing Loan Ratio: The Case of China

机译:贷款的碳强度越高,不良贷款率就越高:中国

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摘要

In response to the call of the Chinese government to support low-carbon development, the issue has come to the view gradually as to whether the behaviors of banks’ green credit will contribute to easing their own credit risk. To reflect the behaviors of green credit of banks in detail, an indicator, named the carbon intensity of loans (CIL), is first proposed in this paper to measure the carbon emissions with association of the loans for commercial banks, on basis of the series of the input–output table. Then, a panel data model is used to explore the relationship between CIL and non-performing loan ratio, which measures the credit risk of banks. Based on the data of China’s commercial banks from 2007 to 2014, an empirical study has been conducted to investigate the impacts of CIL upon the non-performing loan ratio from a microscopic-level perspective. The result indicates that CIL has a positive effect on the non-performing loan ratio of banks. Since CIL is considered a significant indicator for the banks’ green credit, this paper comes to a conclusion that the green credit policy not only contributes to achieving of the emission-reduction targets for the society, but also promotes the development of banks’ credit risk.
机译:为响应中国政府支持低碳发展的号召,人们逐渐开始思考银行的绿色信贷行为是否将有助于减轻其自身的信贷风险。为了详细反映银行的绿色信贷行为,本文首先提出了一个名为“贷款碳强度”(CIL)的指标,用于测量与商业银行贷款相关的碳排放量。输入输出表的内容。然后,使用面板数据模型来探讨CIL与不良贷款比率之间的关系,以衡量银行的信用风险。根据中国商业银行2007年至2014年的数据,进行了一项实证研究,从微观角度研究了CIL对不良贷款率的影响。结果表明,CIL对银行的不良贷款率具有积极影响。由于CIL被认为是银行绿色信贷的重要指标,因此得出的结论是,绿色信贷政策不仅有助于实现社会的减排目标,而且可以促进银行信贷风险的发展。 。

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