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The Research On Influencing Factors And Implementing Effect Of Green Credit In Commercial Banks

Posted on:2020-09-26Degree:MasterType:Thesis
Country:ChinaCandidate:X W LiFull Text:PDF
GTID:2439330596975309Subject:Management Science and Engineering
Abstract/Summary:PDF Full Text Request
With the continuous development of energy saving and emission reduction in China,the green credit system has been established,developed and improved.The scale of green credit has expanded rapidly in recent years.However,there are many problems in the process of implementing green credit policy in commercial banks.For example,the development speed of green credit is slow;the enthusiasm of banks to develop green credit business is not high;the implementation effect is not good.The total amount of loans for green credit projects or energy-saving and environmental protection loans projects is increasing,but the proportion is low.In view of the problems existing in the development of green credit,it is of practical significance to explore the factors influencing the implementation of green credit by commercial banks and to further analyze the efficiency of the implementation of green credit by commercial banks.This paper has three parts for the research contents as follows:From the perspective of commercial banks,this paper constructs the evolutionary game model of green credit and discusses the competition between the implementation of green credit and the non-implementation of green credit in commercial banks.On the theoretical point of view,the main factors affecting the implementation of green credit in commercial banks are explored.The results show that the subsidies to green credit,the penalty cost of no implementing green credit and the business volume of green credit have a positive impact on the implementation of green credit for commercial banks;the cost and the moving business volume of green credit have a negative impact on the implementation of green credit for banks.Empirical analysis is carried out by factor analysis.The influencing factors of green credit are classified and screened.The comprehensive influencing factors of green credit are constructed.The influence of influencing factors of green credit on the scale of green credit is tested.The results show that with the increasing subsidy rate of green credit,the scale of green credit will increase;the increasing moving rates of bank,the regulatory ratio of green credit and government credit intervention procedures can lead to the decline of the scale of green credit.The empirical results of the factors affecting the implementation of green credit by commercial banks are basically consistent with the conclusions of game model.This paper uses panel VAR model to study the impact of green credit implementation on asset quality,management efficiency,profitability and operational risk of commercial banks.In order to test the efficiency of green credit in commercial banks,we select 25 commercial banks,which are divided into listed banks,joint-stock banks and city commercial banks.We use panel VAR model to test the efficiency of green credit for different types of banks.According to the panel VAR model estimation results,impulse effect function and variance decomposition,the following conclusions can be drawn:(1)the impact of green credit on the profitability of banks is negative;green credit is conducive to improve the quality of bank assets;green credit can reduce the cost-income ratio and improve the management level of banks;green credit policy can ensure the safety of capital and resist operational risks.(2)There are some differences in the empirical results of listed banks,joint-stock banks and urban commercial banks.Different policies should be designed according to the different types of banks.This paper concludes that the low growth rate of green credit and the low enthusiasm of banks to green credit are the reasons for the better implementation of green credit for commercial banks.
Keywords/Search Tags:commercial bank, green credit, bank efficiency, evolutionary game model, panel VAR model
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