Study on the Influence of Big Data Tax Collection and Administration on the Stickiness of Corporate Tax Burden

Authors

  • Dong Liu

DOI:

https://doi.org/10.54691/bx7rw622

Keywords:

Big data tax collection and management, Enterprise tax burden stickiness.

Abstract

This paper studies the impact of the application of big data in tax collection and management on the stickiness of enterprise tax burden. By analyzing the existing literature, this paper discusses the advantages of big data in the field of tax revenue and its influence on the stickiness of enterprise tax burden. It is found that big data tax collection and management can improve the efficiency of tax management, reduce tax evasion of enterprises, and then reduce the stickiness of corporate tax burden, and promote the fairness and transparency of the tax system. Finally, this paper puts forward suggestions on improving big data tax collection and management in many aspects, so that big data tax collection and management can better reduce the stickiness of corporate tax burden.

Downloads

Download data is not yet available.

References

Tao Dongjie, Chen Zhenghong. Digital upgrading of tax collection and administration and the stickiness of corporate tax burden [J]. Fiscal Science, 2023,(04):89-105.

Li Kaifeng Jing. Research on the application of Big Data in Tax collection and Administration [D]. Shanxi University, 2023.

Wang Minghui. The challenge of digital economy to China's tax collection and administration and its response [D]. Hebei University of Economics and Business, 2023.

Fan Qiuju. Intelligent tax collection and management under big data [J]. Tax payment, 2024,18 (09): 16-18.

Zhang Zhiqiang, Han Fengqin. Study on the influence of Big data tax collection and Administration on corporate tax compliance [J]. Audit and Economic Research, 2023,38 (05): 86-96.

Downloads

Published

2024-07-24

Issue

Section

Articles

How to Cite

Liu, D. (2024). Study on the Influence of Big Data Tax Collection and Administration on the Stickiness of Corporate Tax Burden. Frontiers in Humanities and Social Sciences, 4(7), 172-176. https://doi.org/10.54691/bx7rw622