Application of Big Data Model in Financial Taxation Management

We have entered an era of information technology. Many financial and taxation management tasks have been applied to big data technology. Through big data technology, we can efficiently collect data and Internet information, realize efficient management of information, and establish a complete set of tax database. The research results of the article show the following. (1) We analyze the application status of big data technology and put forward the problems and solutions in data processing in our country. (2) Most financial managers of small and medium-sized enterprises are rather vague about the definition of taxation. Training in this area should be strengthened. Taking the industrial chain of Chinese enterprises as the survey object, the concept of taxation compliance and influencing factors have been elaborated, and a taxation respect model has been established. The investigation method can be analyzed through the model. (3) We established the coefficient of variation model with Pilka coefficient and found that the main business income has the highest correlation with the value-added tax payable and has the strongest linear relationship; the correlation between return on assets and value-added tax payable is the weakest, and there is a weak relationship. There is a strong negative correlation between sales profit margin and VAT payable (4) Taking a pharmaceutical company in our country as the subject of investigation, the company’s financial operating conditions have been studied for the past ten years, and it is concluded that the company’s main business income is increasing year by year, and the corresponding tax revenue is also increasing, and the tax growth rate is relatively unstable. Among them, the financial risk coefficient of corporate income tax is the largest.

The Impact of the Digital Economy on Corporate Taxation From the Perspective of Supply Chain

Supply chain is the unification of modern information flow, capital flow and logistics. Corporate tax management is an important part of corporate financial management, and its management results will have a direct impact on corporate development. In the current environment of rapid social and economic development, taxation management has penetrated into the entire supply chain of an enterprise, and has played its due value to the business development of the enterprise. Based on the perspective of the supply chain, this article studies the impact of the digital economy on corporate taxation, focusing on the analysis of the problems in corporate taxation management, and puts forward relevant suggestions based on the analysis results for reference.

Tax Identification Number and Non-Oiuta Revenue: A Comparative Analysis of Pre and Post Tin Advanced Taxation Management (ACC 921)

Non-oil tax revenue constitutes an integral part of the total revenue of Nigeria. It is expected that the introduction of the Taxpayer Identification Number (TIN) will have a significant effect on total non oil tax revenue since more companies would be captured by the tax net. This paper therefore set out to empirically investigate the effect of TIN on non oil tax revenue through a comparative analysis of pre and post TIN years of 2000 to 2015. Data was collected from Central Bank of Nigeria (CBN) Statistical Bulletin. The study employed both descriptive and pairwise t-test statistical techniques for analyses with total non-oil tax revenue as the dependent variable while CIT, VAT and TET were the independent variables. Findings showed that there has been a significant increase in total non-oil tax revenue with the introduction of TIN. Also, revenue generated from CIT and TET after the implementation of TIN improved significantly. VAT revenue however, did not improve after the implementation of TIN. Recommendations include that the VAT base needs to be enlarged through electronic capture of all VATable persons.