Research on Tax Risk Regulation and Strategic Management in the Context of Big Data

With the rapid development of big data,big data has been more and more applied in all walks of life.Under the big data environment,massive big data provides convenience for regional tax risk control and strategic decision-making but also increases the difficulty of data supervision and management.By analyzing the status quo of big data and tax risk management,this paper finds many problems and puts forward effective countermeasures for tax risk supervision and strategic management by using big data.

基于数据挖掘技术的税务风险检测方法评述

Tax risk behavior causes serious loss of fiscal revenue,damages the country’s public infrastructure,and disturbs the market economic order of fair competition.In recent years,tax risk detection,driven by information technology such as data mining and artificial intelligence,has received extensive attention.To promote the high-quality development of tax risk detection methods,this paper provides the first comprehensive overview and summary of existing tax risk detection methods worldwide.More specifi-cally,it first discusses the causes and negative impacts of tax risk behaviors,along with the development of tax risk detection.It then focuses on data-mining-based tax risk detection methods utilized around the world.Based on the different principles employed by the algorithms,existing risk detection methods can be divided into two categories:relationship-based and non-relationship-based.A total of 14 risk detection methods are identified,and each method is thoroughly explored and analyzed.Finally,four major technical bottlenecks of current data-driven tax risk detection methods are analyzed and discussed,including the difficulty of integrating and using fiscal and tax fragmented knowledge,unexplainable risk detection results,the high cost of risk detection algorithms,and the reliance of existing algorithms on labeled information.After investigating these issues,it is concluded that knowledge-guided and datadriven big data knowledge engineering will be the development trend in the field of tax risk in the future;that is,the gradual transition of tax risk detection from informatization to intelligence is the future development direction.

Research on Tax Planning of PPP Projects in China: Based on the Perspective of Digital Economy

The digital economy has become an important driving force for the growth of fiscal revenue in various countries.Tax planning is essential for the cost accounting of PPP projects,reducing corporate tax burdens,and increasing company value.This paper adopts a case analysis method,taking the smart highway PPP project in Guizhou Province as an example.Through statistical analysis,it is found that the value-for-money and big data of the PPP project affects tax planning,the project’s value-added tax input and output items have time mismatches,and enterprises Income tax payment imbalance.In the context of the digital economy,the tax planning of China’s PPP projects can be further improved:digital transformation and big data to prevent tax risks caused by value for money evaluation;based on digital technology to improve the value-added tax deduction chain,and digital communication platforms to alleviate time mismatch of value-added tax;use big data to monitor and balance project portfolio investment;improve the level of digital skills of financial personnel.

GOVERNMENT POLICIES AND CORPORATE FINANCING DECISIONS IN CHINA:THEORY AND EVIDENCE

This paper examines the effect of government policies on the financing decisions of firms in China. A real options model is developed to understand how fiscal and monetary policies affect corporate leverage.The model predictions will be tested with a comprehensive panel data set spanning from 2002 to 2011.This work documents robust evidence that show the positive association of both tax and risk-free rate with firm leverage：increase in tax rate and risk free rate by one standard deviation results in the increase in corporate leverages by 0.61 to 1.06 percent and 2.54 to 3.68 percent,respectively.In addition,the productions of the firms are not affected by the tax rate in the short run,and the firms are operating in their optimal market leverage.The implied tax rate and risk free rate are solved by assuming that the firms achieve their optimal leverages.The implied tax rate declines with the size, whereas the opposite goes for implied risk-free rate.