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Research On The Impact Of Green Credit On Commercial Bank Credit Ris

Posted on:2024-05-20Degree:MasterType:Thesis
Country:ChinaCandidate:X Y LiFull Text:PDF
GTID:2531306914491424Subject:Financial
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With the increasing of global warming and energy consumption,low-carbon economy has become an important direction of the development of the world today.As the country with the largest total carbon emission and the largest developing country in the world,China has begun to take a series of measures to promote the development of low-carbon economy.Among the economic measures implemented,the green credit business of commercial banks plays an important role,becoming a key force supporting the development of low-carbon economy.The loan quality of green credit will also affect the credit risk of commercial banks.Therefore,this paper selects the data of 20 major commercial banks from 2012 to 2021.Analyze the relationship between green credit business and credit risk of commercial banks.This paper first introduces the background of the emergence of green credit and the research significance of this paper,reviews the domestic and foreign literature of green credit,and determines the research methods and ideas of this paper by combing.Secondly,the status quo and problems of green credit development in China are analyzed.After that,the empirical test part proves the relationship between green credit and credit risk.The explained variable to measure credit risk is the non-performing loan ratio of commercial banks,the core explanatory variable is the balance ratio of green credit,and the control variable includes macroeconomic indicators and internal bank indicators.In the empirical chapter of this paper,the first part adopts the method of gradually increasing the control variables to build a static panel model for baseline regression,and the second part adopts the two-step system GMM test to build a dynamic panel model.After drawing the core conclusions in the first two parts,the panel threshold model and heterogeneity analysis are added to further study the relationship between green credit and credit risk of commercial banks.The third part is the panel threshold model with provision coverage as the threshold variable,and the fourth part analyzes the heterogeneity of commercial banks.Finally,according to the conclusions,some policy suggestions are put forward.This paper draws the following three research conclusions:(1)Through static and dynamic panel models,it can be concluded that green credit business of commercial banks can reduce the non-performing loan ratio of commercial banks,that is,credit business can reduce the credit risk faced by commercial banks to some extent;(2)The panel threshold model shows that there are two threshold effects in the provision coverage ratio of commercial banks,that is,there are different linear relationships between green credit and the credit risk of commercial banks in three different provision coverage intervals;(3)Through the heterogeneity analysis of commercial banks,it is concluded that the increase of the balance proportion of green credit in state-owned commercial banks will significantly reduce their non-performing loan ratio,while the impact of urban commercial banks is relatively small,while the increase of the balance proportion of green credit in joint-stock commercial banks will increase the non-performing loan ratio.Finally,according to the conclusion,the paper puts forward two aspects of the national macro level and the bank micro level.National macro level:(1)increase the publicity of green credit policy;(2)Establish incentive policies for green credit of commercial banks;(3)Strengthen the disclosure of green credit information of commercial banks.Bank micro level:(1)product,technology and policy innovation of green credit;(2)Constantly introduce outstanding financial talents and increase their welfare benefits;(3)Improve the green credit service system of Internet finance;(4)Establish a complete green credit review system;(5)Establish a mature risk management system;(6)Strengthen the internal management of the bank.
Keywords/Search Tags:green credit, Credit risk, Threshold model, heterogeneity
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