Proceedings of the 2020 International Conference on Management, Economy and Law (ICMEL 2020)

Discussion on Reflection and Optimization of China’s Social Security System

Authors
Hui Wang
Corresponding Author
Hui Wang
Available Online 13 November 2020.
DOI
10.2991/aebmr.k.201111.025How to use a DOI?
Keywords
China’s social security system, salary, existing problems, optimization suggestions
Abstract

By use of the document analysis method, this paper analyzes the existing problems in China’s social security system from the aspects of system design and payment based on the analysis of the influence of China’s social security system. To solve this problem, it explores countermeasures from the two dimensions of system optimization and payment optimization. The optimization proposals can make the existing system more suitable for the security needs of modern Chinese society, which is conducive to the improved effectiveness and rationality of the system.

Copyright
© 2020, 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 2020 International Conference on Management, Economy and Law (ICMEL 2020)
Series
Advances in Economics, Business and Management Research
Publication Date
13 November 2020
ISBN
10.2991/aebmr.k.201111.025
ISSN
2352-5428
DOI
10.2991/aebmr.k.201111.025How to use a DOI?
Copyright
© 2020, 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  - Hui Wang
PY  - 2020
DA  - 2020/11/13
TI  - Discussion on Reflection and Optimization of China’s Social Security System
BT  - Proceedings of the 2020 International Conference on Management, Economy and Law (ICMEL 2020)
PB  - Atlantis Press
SP  - 135
EP  - 138
SN  - 2352-5428
UR  - https://doi.org/10.2991/aebmr.k.201111.025
DO  - 10.2991/aebmr.k.201111.025
ID  - Wang2020
ER  -