| In recent years,with the concepts of "carbon peak" and "carbon neutrality" successively proposed,green finance has been playing an increasingly prominent role in promoting the green and low-carbon transformation of economy and society.It has become an important means to realize the optimal allocation of funds and industrial transformation and upgrading under the constraints of "two-carbon" goals.Since 2016,the development of green finance has accelerated,and the listed banks have basically promoted green finance to the strategic level of the industry.Industry is one of the main economic pillar industries in our country,and the development of clean industry demotion and agglomeration trend is closely related to green finance.In this context,it is necessary to objectively and reasonably measure the level of green finance and clean industrial agglomeration,and explore the relationship and path of influence between them,which is of great significance for promoting the development of green finance and optimizing industrial agglomeration in China.Based on the construction of multi-level green finance index system,this paper adopts improved objective principal component analysis method to determine the weight of the final level index of the index system according to its advantages of extracting a large number of data features.Referring to the weight value of the final level index,combined with the weight calculated by entropy weight method,the analytic hierarchy process is adopted to assign weight to the upper level index,and the green finance index of China is calculated.Secondly,the clean industries in Chinese industry are divided in detail by referring to relevant documents.According to the statistics of employment number,number of enterprises,total market size and total output value of relevant industries,the traditional methods of calculating industrial agglomeration such as EG index,spatial Gini coefficient and R index are used to verify the validity of the data.Finally,the R index method is compared and selected to measure the industrial agglomeration level.The national clean industry cluster index was obtained by summing.Furthermore,on the premise of selecting control variables,the time series model is used to explore the Granger causality between the development level of green finance and the degree of clean industry agglomeration,and the mutual influence of the two index systems is concluded.Finally,grey correlation analysis is carried out to clarify the influence path of green finance on the level of clean industrial agglomeration.The results show that the agricultural insurance factor in green insurance has the highest correlation with the level of clean industry agglomeration and has the greatest influence.The bond financing factor in green financing has the lowest correlation degree and the least influence,while the correlation degree of other factors is generally consistent and at a high level.It can be seen that the improvement of the level of clean industrial agglomeration can be achieved through the differentiated investment of various factors under the green finance index system.The effect of bond financing mode in green financing is not strong,and there is a large room for improvement.This paper comprehensively analyzes the correlation system between green finance and clean industrial agglomeration,and proposes that financial institutions should increase investment in green insurance and green investment,expand the scale of green credit,increase bond financing to improve the efficiency of capital allocation,guarantee the development of clean industrial agglomeration and give full play to their advantages.At the same time,clean industries should also make full use of the convenience and platform provided by green finance,exert the advantages of industrial agglomeration to realize regional information sharing,so as to promote the sustainable development of our economy and environment. |
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