Study On The Impact Of Big Data Technology On The Credit Supply Of Small,medium And Micro Enterprises In Shandong Province

As the largest number and widest market entity in Shandong Province,small and medium-sized enterprises are irreplaceable in enhancing market vitality and providing jobs.However,under the three major challenges of economic transformation,trade friction and the new crown epidemic,the downward pressure on the economy of Shandong Province has continued to increase,the sentiment of banks "cherishing loans" and "cautious loans" is strong,and the problems of "financing difficulties" and "expensive financing" of small and medium-sized enterprises in the province have once again become prominent,and credit cannot be continuously supplied.As the main body of credit supply in China’s financial system,commercial banks are the main providers of financing for small and medium-sized enterprises in Shandong Province.The reason for the insufficient credit supply of small and medium-sized enterprises in Shandong Province is due to the information asymmetry between banks and enterprises,the lack of qualified collateral land and the inability to meet credit standards,which is an important obstacle to cooperation between commercial banks and small and medium-sized enterprises.At present,China’s digital economy is rising rapidly,and the data age provides us with new ideas.Big data technology with its strong information acquisition,processing advantages has become an important means to alleviate the financing difficulties of small and medium-sized enterprises,how to rely on the information advantages of big data technology,guide commercial banks credit resources to follow market rules to sustainable supply to small and medium-sized enterprises,will become an important reform direction for Shandong Province to improve the vitality of the real economy.Based on this,this paper carefully examines the development of big data technology from the two levels of theory and empirical evidence,whether it has really and effectively expanded the credit supply of commercial banks to small and medium-sized enterprises in Shandong Province,thereby alleviating the dilemma of capital shortage of small and medium-sized enterprises in Shandong Province,as well as the specific mechanism and realization path.The logical idea of this paper is as follows: First,the mechanism of big data technology on the credit supply of small and medium-sized enterprises is systematically sorted out,and the monthly panel data of 14 commercial banks on the credit supply of small and medium-sized enterprises in Shandong Province from 2012 to 2020 is used to test the effect of big data technology on the credit supply of small and medium-sized enterprises in Shandong Province from the empirical level,and the bank heterogeneity,enterprise differentiation and industry differentiation presented by it are deeply discussed.Subsequently,this paper sorts out the transmission channels of credit supply of small and medium-sized enterprises in Shandong Province on the role of big data technology from the pre-loan information channels and post-loan loss channels of commercial banks.Finally,based on the empirical test results of the effect and the transmission channel,this paper analyzes the obstacles that sm ME may face when seeking credit supply support in the process of the development of big data technology,and gives policy suggestions.The study found that with the development of big data technology,the credit supply of commercial banks to small and medium-sized enterprises in Shandong Province has increased significantly.In particular,the role of large commercial banks in promoting the credit supply of small and medium-sized enterprises in Shandong Province is more obvious,and the promotion effect on the credit supply of medium,small and micro enterprises is stronger than that of large enterprises.In addition,this paper also finds that big data technology acts together on the credit supply of commercial banks to small and medium-sized enterprises in Shandong Province through pre-loan information channels and post-loan loss channels.This effect of the channel also shows obvious heterogeneity for different types of commercial banks and different enterprises.Among them,the degree of information asymmetry between large state-owned commercial banks and small and medium-sized enterprises in the pre-loan information channel has decreased more than that of joint-stock banks,large state-owned commercial banks and small and medium-sized enterprises;In the post-loan loss channel,big data technology is more capable of reducing the non-performing loan ratio between joint-stock commercial banks and small and medium-sized enterprises.Finally,in view of the problems found in the research process,this paper gives policy suggestions,which requires the government,banks and enterprises to pay attention to the introduction of big data technology and continuous innovation,pay attention to the removal of obstacles in pre-loan and post-loan channels,and implement differentiated management for heterogeneity.