Research On Green Credit Risk Assessment And Management Of Listed Companies

In the 20 th CPC National Congress,General Secretary Xi made major decisions and arrangements to promote green developments and the harmonious coexistence of human and nature.It shows that economic development should not just grab interest,but should also consider how to make the economy and ecological environment develop harmoniously from a long-term perspective.Under the goal of carbon neutrality for sustainable development,China’s green finance development is also constantly upgrading.As the main body of China’s financial industries,commercial banks have a significant impact on the environmental behaviors.The green credit policy emerges with environmental economy,is like a tool that banks can improve the enterprises’ environmental awareness and gradually guide their specific behaviors by controlling fund flow.Green credit meets the needs of national policies,as it not only brings development funds to enterprises,but also improves the level of pollution treatment and the quality of environmental protection.However,the development of green credit in China started relatively late,and the methods and research on risk assessment and management of green credit projects still need to be improved.Therefore,this paper firstly summarizes the domestic and foreign literature research from three aspects of green credit,green credit project risk index system,and green credit project risk model construction,and concludes that three directions can be taken into further consideration: angle switching,index improvement,and model optimization.Then,it summarizes the relevant concepts and theories of sustainable development theory,equator principle,green credit and risk management.On the basis,it constructs the green credit risk project assessment index system applicable to the current listed companies from the six index categories,including finance,basic information,environment,society,governance,and technology.Next,logistic regression,random forest,XGBoost and GA-BP neural network models are used to fit the data of green credit risk of listed companies,therefore,a green credit project risk management models of listed companies suitable for commercial banks could be constructed.In terms of explanation angle,Logistic regression,random forest,and XGBoost models have more advantages.By dividing the risk indicators into three parts,it is convenient for commercial banks to recognize the key risk indicators in green credit projects according to their priorities.In terms of prediction angle,the GA-BP neural network model is relatively more suitable to solve practical problems,so it can provide a strong guarantee for commercial banks to prevent the green credit project risks of listed companies.Finally,this paper puts forward reasonable suggestions for the green credit project risk assessment and risk management of listed companies,and formulates reasonable risk control measures,digs out the key indexes of green credit project risk to reduce the risk monitoring cost and improve the risk management efficiency of commercial banks,from the five aspects of project risk management: planning risk management,identifying risk,analyzing risk,coping with risk,and supervising risk.