Proceedings of the 3rd Annual 2017 International Conference on Management Science and Engineering (MSE 2017)

Calculation on Social Co-ordination Account Payment Ratio of Pension Insurance of Urban Workers

Authors
Wei Wang, Ya-Nan Yang
Corresponding Author
Wei Wang
Available Online October 2017.
DOI
10.2991/mse-17.2017.16How to use a DOI?
Keywords
urban workers; pension insurance; social co-ordination account payment ratio
Abstract

Taking the maximizing personal utility and social welfare as the study perspectives, regarding the urban workers and state-owned enterprises as the research object, the ratio, 18.81%, can be calculated by the model of social co-ordination account optimal payment ratio, which was lower than the current level of 1.19 percents. Furthermore, through applying feasibility analysis and sensitivity analysis of optimal payment ratio, we concluded it is feasible to decrease the social co-ordination account payment ratio moderately leading to 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 3rd Annual 2017 International Conference on Management Science and Engineering (MSE 2017)
Series
Advances in Economics, Business and Management Research
Publication Date
October 2017
ISBN
978-94-6252-394-4
ISSN
2352-5428
DOI
10.2991/mse-17.2017.16How 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  - Wei Wang
AU  - Ya-Nan Yang
PY  - 2017/10
DA  - 2017/10
TI  - Calculation on Social Co-ordination Account Payment Ratio of Pension Insurance of Urban Workers
BT  - Proceedings of the 3rd Annual 2017 International Conference on Management Science and Engineering (MSE 2017)
PB  - Atlantis Press
SP  - 60
EP  - 63
SN  - 2352-5428
UR  - https://doi.org/10.2991/mse-17.2017.16
DO  - 10.2991/mse-17.2017.16
ID  - Wang2017/10
ER  -