Actuarial Research Based on Pension Insurance for Urban Residents in China

DOI

10.2991/assehr.k.211209.543How to use a DOI?

Keywords

Chinese urban residents; pension insurance; actuarial research

Abstract

In the context of the rapid development of social economy and the accelerating process of urbanization, the state and relevant departments have also put forward new tasks and requirements for the development of urban residents’ pension insurance. It is emphasized that it is necessary to link with reality and provide more powerful protection for the pension of urban residents by optimizing the adjustment of the pension insurance benefits for urban residents. This study is mainly to make in-depth research on the actuarial calculations in China’s urban residents’ pension insurance, and through the combination of existing research results and survey analysis to effectively solve the problem of urban residents’ low level of pension replacement and make a comprehensive analysis and comprehensive analysis. [1] Then, by proposing a more targeted adjustment strategy for urban residents’ pension insurance, and by scientifically clarifying more reasonable standards for the replacement rate of urban residents’ pension insurance funds, a more feasible adjustment plan is designed to provide urban residents with a basic living standard after retirement. Only in this way can the positive role of the pension insurance work for Chinese urban residents be fully brought into play.

Copyright

© 2021 The Authors. Published by Atlantis Press International B.V.

Open Access

This is an open access article under the CC BY-NC license.

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TY  - CONF
AU  - Bingchen Liu
PY  - 2021
DA  - 2021/12/15
TI  - Actuarial Research Based on Pension Insurance for Urban Residents in China
BT  - Proceedings of the 2021 3rd International Conference on Economic Management and Cultural Industry (ICEMCI 2021)
PB  - Atlantis Press
SP  - 3343
EP  - 3346
SN  - 2352-5428
UR  - https://doi.org/10.2991/assehr.k.211209.543
DO  - 10.2991/assehr.k.211209.543
ID  - Liu2021
ER  -