Proceedings of the 5th International Symposium on Social Science (ISSS 2019)

Research and Suggestions on Population Aging Under the Background of Social Security Fee Reduction

Authors
Minxuan Zhong, Ziwei Zhao
Corresponding Author
Minxuan Zhong
Available Online 18 March 2020.
DOI
10.2991/assehr.k.200312.041How to use a DOI?
Keywords
social security fee reduction, population aging, old-age insurance system
Abstract

At present, China implements the important measure of “tax and fee reduction”, which reduces the cost of enterprises, reduces the burden on enterprises, and can promote economic growth. Social security fee reduction in particular to reduce the enterprise endowment insurance contribution ratio. However, the current aging of China’s population is increasing, which has brought challenges and opportunities to China’s economic growth. This article analyzes the impact of population aging on the economy through the current population situation in China, and puts forward its own suggestions for coping with population aging.

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 5th International Symposium on Social Science (ISSS 2019)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
18 March 2020
ISBN
10.2991/assehr.k.200312.041
ISSN
2352-5398
DOI
10.2991/assehr.k.200312.041How 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  - Minxuan Zhong
AU  - Ziwei Zhao
PY  - 2020
DA  - 2020/03/18
TI  - Research and Suggestions on Population Aging Under the Background of Social Security Fee Reduction
BT  - Proceedings of the 5th International Symposium on Social Science (ISSS 2019)
PB  - Atlantis Press
SP  - 229
EP  - 232
SN  - 2352-5398
UR  - https://doi.org/10.2991/assehr.k.200312.041
DO  - 10.2991/assehr.k.200312.041
ID  - Zhong2020
ER  -