The Research On The Impact Of Green Credit On The Efficiency Of Commercial Banks

In September 2020,China proposed to achieve carbon peaking by 2030 and achieve carbon neutrality by 2060,focusing on energy structure,energy consumption and man-made carbon sequestration.The green credit of domestic commercial banks is an important tool to achieve the "dual carbon" goal,and has a strong guiding role in the transformation of the overall economy.Some commercial banks in China joined the ranks of green development earlier,and have gradually formed three green development methods including green credit,green bond and green operation,among which green credit is the main development method.However,the green credit of commercial banks has the characteristics of high operating cost,long recovery period and high probability of green washing.Based on this,this paper intends to explore the relationship between the current green credit of commercial banks in China and their own efficiency,grasp the opportunities of the current green credit development of commercial banks,and verify whether there is a conflict between the individual goals of commercial banks and the country’s "dual carbon" goal,and propose corresponding solutions.Compared with previous studies,the significance of this paper is to theoretically expand the scope of green finance,enrich the management guidance of commercial banks,and guide commercial banks to carry out green credit in reality,and promote the implementation of the "dual carbon" goal.Based on the panel data of 123 commercial banks from 2009 to 2020,this paper uses the slack vector model with unexpected output to measure the comprehensive efficiency of commercial banks,then uses the panel model to analyze the relationship between green credit and commercial bank efficiency,and combines the intermediary effect.The test model explores the mediating relationship between the green credit reputation value and the two,and combines the moderating effect model to explore the moderating effect of Fintech on the relationship between the two.This paper finds that,first,compared with the traditional data envelopment analysis method,the comprehensive efficiency value obtained by the slack vector model considering the undesired output is relatively small,and the efficiency difference between different types of commercial banks is consistent with the actual situation.Second,the development of green credit by commercial banks can significantly improve the efficiency of commercial banks,and this positive promoting effect becomes more and more obvious with the growth of green credit scale and the accumulation of experience.The promotion effect of green credit balance on the efficiency of commercial banks is positive U-shaped.The efficiency of commercial banks will decline in the initial stage of green credit development,but after passing the turning point,commercial banks will gain a rapid increase in efficiency from the process of developing green credit.Third,the reputation formed by the development of green credit is an important channel through which the green credit of commercial banks plays a role in their efficiency.Fourth,the development of Fintech is conducive to the left shift of the turning point,helping banks to smoothly transition from the early stage of declining efficiency.Based on the above conclusions and findings,this paper puts forward the following suggestions.First,commercial banks should seize the opportunity to accelerate the implementation of green credit,expand the scale of green credit,deploy six major green industries,and break through the turning point where the logarithm of green credit is equal to3.500 or 3.715.Second,commercial banks should gradually improve the green credit information disclosure system,especially the green credit project review standards,post-launch supervision,enhance the autonomy of green credit information disclosure,promote the promotion of green credit development effects,and build a green credit reputation.Third,strengthen Fintech infrastructure construction,especially in green credit project review automation,rating automation,supervision automation,etc.