A Study On The Impact Of Big Data Tax Collection On Business Innovation

As the main body of micro innovation,the improvement of innovation level of enterprises is important to the implementation of innovation-driven development strategy.However,enterprise innovation activities are caught in high adjustment costs and high financing costs,which constrain the continuous investment of enterprise R&D funds.Tax collection and management is an effective way to influence the business decision of enterprises,therefore,how to use taxation tools to mobilize the enthusiasm of enterprise innovation is an urgent problem to be solved at present.With the completion of the "Golden Tax Phase III" project,the integration of taxation data based on the big data platform has been realized,marking the official entry of China’s tax collection and administration into the era of big data collection and administration.In the context of digital transformation of tax administration and innovation-driven development strategy,it is far-reaching to discuss the impact of big data tax administration on enterprise innovation.This paper takes "Golden Tax Phase III" as an opportunity to act as a policy impact and quantitatively assesses the overall impact of big data tax collection and administration on enterprise innovation,and examines the "tax burden effect","governance effect" and "filtering effect".We also examine the impact mechanism of tax administration technology upgrade on enterprise innovation in three aspects: "tax burden effect","governance effect" and "filtering effect".On this basis,we propose targeted policy recommendations to realize the digital transformation of taxation and drive the development of enterprise innovation.The main research contents and conclusions of this paper are as follows:First,the data selected for the study in this paper are the data of A-share listed enterprises from 2012-2019,and the impact of big data tax levy on enterprise innovation is analyzed empirically with the help of double difference model,and the regression results verify the hypothesis with positive impact proposed in the theoretical analysis,and the indicators are selected from the perspective of enterprise innovation input and innovation output respectively,and the results are significantly positive,which again enhances the regression results The regression results again enhance the credibility of the regression results.Meanwhile,in the process of empirical analysis,it is found that the higher the degree of enterprise financing,the larger the proportion of capital expenditure,the longer the establishment of the enterprise,and the smoother the operation of the equity incentive mechanism,the higher the R&D expenditure of the enterprise.Second,this paper further verifies the influence mechanism of digitalization of tax collection on enterprise innovation through theoretical analysis and empirical test.First,there is a "tax burden effect" of big data tax collection on enterprises,which increases the tax burden rate of enterprises,significantly reduces tax evasion,and decreases the available cash flow of enterprises’ R&D expenditures,which naturally leads to the reduction of enterprises’ innovation activities;second,big data tax collection plays a "governance effect" on enterprises "The reason for this is that the shares of listed enterprises in China are concentrated,and in addition,large and small shareholders in the enterprise basically have the same goal,and they all want to maximize the profits of the enterprise;thirdly,big data tax levy has a "filtering effect",that is,big data tax levy can make enterprises transparent,alleviate the problem of information inequality between external creditors and enterprises,improve the information disadvantageous position of creditors,and then effectively help high-quality enterprises to finance and increase innovation expenditure.In response to the above findings,this paper concludes that although big data tax collection improves the efficiency and accuracy of tax collection and increases the tax burden of enterprises,big data tax collection can exert the "governance effect" and "filtering effect" and have a positive impact on enterprise innovation.The positive impact on enterprise innovation.Therefore,in the next practice,taxation authorities should play the role of external administrator,fully exploit the taxation big data,strengthen the supervision and inspection of enterprises,improve the transparency of enterprises,and guide the market capital to R&D and innovation.Enterprises should fully realize that true and perfect tax information has a positive role in corporate governance and alleviating financing constraints,and should cooperate more actively with the levy and management work to build a good levy and payment relationship.