Proceedings of the Third International Conference on Economic and Business Management (FEBM 2018)

C2C Electronic Commerce Tax Management Based on Big Data

Authors
Weibo Huang, Yanjun Liao, Shaohui Li
Corresponding Author
Weibo Huang
Available Online December 2018.
DOI
https://doi.org/10.2991/febm-18.2018.19How to use a DOI?
Keywords
Big data; C2C e-commerce; Tax management
Abstract

This study was to find a more effective way for tax collection and management on C2C E-commerce with the help of Big Data technology. This study reviewed the current situation and features of C2C E-commerce in China. We analyzed the problems and necessity of the tax collection and management on C2C E-commerce. Through applying the network and Big Data technology to tax collection and management system on C2C E-commerce, the study promoted set up three models. By analyzing the procedure of promoting the use of tax identification number for tax registration, and sharing information between tax authorities and third-party agencies, and joining the tax payment into shops credit evaluation, we can conclude the application results. The results indicate that it is necessary to apply Big Data in tax work.

Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the Third International Conference on Economic and Business Management (FEBM 2018)
Series
Advances in Economics, Business and Management Research
Publication Date
December 2018
ISBN
978-94-6252-623-5
ISSN
2352-5428
DOI
https://doi.org/10.2991/febm-18.2018.19How to use a DOI?
Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Weibo Huang
AU  - Yanjun Liao
AU  - Shaohui Li
PY  - 2018/12
DA  - 2018/12
TI  - C2C Electronic Commerce Tax Management Based on Big Data
BT  - Proceedings of the Third International Conference on Economic and Business Management (FEBM 2018)
PB  - Atlantis Press
SP  - 83
EP  - 86
SN  - 2352-5428
UR  - https://doi.org/10.2991/febm-18.2018.19
DO  - https://doi.org/10.2991/febm-18.2018.19
ID  - Huang2018/12
ER  -