Proceedings of the 2017 International Conference on Management, Education and Social Science (ICMESS 2017)

Calculation on Personal Account Payment Ratio of Pension Insurance of Urban Workers

Authors
Li Zhang, Yanan Yang, Wei Wang
Corresponding Author
Li Zhang
Available Online June 2017.
DOI
10.2991/icmess-17.2017.82How to use a DOI?
Keywords
urban workers; personal account; personal payment ratio; pension insurance
Abstract

In order to analyze the ratio of personal account payment, the paper made the maximizing personal utility and social welfare as the study perspectives, regarded the urban workers and state-owned enterprises as the research object. By applying the model of personal optimal payment ratio, we calculated the ratio, 10.9%, which was higher than the current level of 2.19 percent, carried out the feasibility analysis and sensitivity analysis. Furthermore, we concluded it is feasible to increase the personal payment ratio moderately to reach government needs and social development.

Copyright
© 2017, 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 2017 International Conference on Management, Education and Social Science (ICMESS 2017)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
June 2017
ISBN
10.2991/icmess-17.2017.82
ISSN
2352-5398
DOI
10.2991/icmess-17.2017.82How to use a DOI?
Copyright
© 2017, 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  - Li Zhang
AU  - Yanan Yang
AU  - Wei Wang
PY  - 2017/06
DA  - 2017/06
TI  - Calculation on Personal Account Payment Ratio of Pension Insurance of Urban Workers
BT  - Proceedings of the 2017 International Conference on Management, Education and Social Science (ICMESS 2017)
PB  - Atlantis Press
SP  - 349
EP  - 352
SN  - 2352-5398
UR  - https://doi.org/10.2991/icmess-17.2017.82
DO  - 10.2991/icmess-17.2017.82
ID  - Zhang2017/06
ER  -