Research On The Relationship Between The Construction Of Big Data Credit And The SMEs Credit Ability

As an important driving force for the development of the national economy,small and medium-sized enterprises have not effectively ameliorate the financing dilemma.Under the above circumstance,all sectors of society are paying more and more attention to the root cause of the SMEs credit difficulty--asymmetric information between credit parties,and try to improve the information transparency and sharing of credit market information through the big data credit construction,which can finally help SMEs improve their overall credit capacity.However,the construction of big data credit is still in its infancy.There are still many shortcomings in the aspects of industry supervision,legal improvement,effective docking of small and medium-sized enterprises,and so on.At the same time,in the field of academic research,Chinese credit research started late,and mostly based on theoretical discourse,policy analysis or foreign case studies.Besides the quantitative empirical research is less,and the accuracy of measurement methods and the probability of rejection still need to be improved.Therefore,this paper takes the SME board and the carve out board in 2013-2017 as the research samples,and uses the hierarchical linear model to analysis the relationship between the construction of Big Data credit and the SMEs credit ability from the perspective of macro and micro.Throughout the research process,this paper also combines the external regulation of regional financial development level and the intrinsic influence of enterprise soft and hard information.In general,this study aims to enrich the existing research perspective and provide theoretical basis and decisionmaking reference for the construction of big data credit,which will help improve SMEs credit capacity.The study shows that,(1)big data credit construction can indeed improve the SMEs credit capacity,and this positive effect has an increasing trend with the passage of time.(2)Soft and hard information such as enterprise size,business age and internal control capability will have an impact on the SMEs credit capacity,and the construction of big data credit will play a part in regulating the impact.That is,the construction of big data credit information can reduce the negative effect of business age and the positive effect of internal control capabilities.(3)The construction of big data credit and the level of regional financial development complement each other,and jointly promote the SMEs credit capacity.Among them,the interaction effect between big data credit construction and credit fund allocation efficiency is positive,and the interaction effect with the financial industry competition level is inverted U-shaped.