Proceedings of the 2019 4th International Conference on Modern Management, Education Technology and Social Science (MMETSS 2019)

The Choice of Urban Elderly People’s Willingness to Support the Pension

Authors
Yan Gao, Qinghong Yang
Corresponding Author
Yan Gao
Available Online October 2019.
DOI
10.2991/mmetss-19.2019.114How to use a DOI?
Keywords
Urban Elderly People, Pension-willingness, Non-sequential multi-classification Logistic regression.
Abstract

Based on the random questionnaire survey of the elderly in Haikou, Hainan Province in the first half of 2018. This paper analyzes the elderly people’s willingness and its influencing factors by using single factor interaction analysis and non-sequential multi-classification Logistic regression model. The results show that the old-age pension of the majority of the elderly doesn’t depend on the degree of filial piety of the children, and the number of children, the socialized pension service factors and the attitude of the old-age care have different effects on the choice of the elderly.

Copyright
© 2019, 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/).

Download article (PDF)

Volume Title
Proceedings of the 2019 4th International Conference on Modern Management, Education Technology and Social Science (MMETSS 2019)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
October 2019
ISBN
978-94-6252-808-6
ISSN
2352-5398
DOI
10.2991/mmetss-19.2019.114How to use a DOI?
Copyright
© 2019, 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  - Yan Gao
AU  - Qinghong Yang
PY  - 2019/10
DA  - 2019/10
TI  - The Choice of Urban Elderly People’s Willingness to Support the Pension
BT  - Proceedings of the 2019 4th International Conference on Modern Management, Education Technology and Social Science (MMETSS 2019)
PB  - Atlantis Press
SP  - 566
EP  - 570
SN  - 2352-5398
UR  - https://doi.org/10.2991/mmetss-19.2019.114
DO  - 10.2991/mmetss-19.2019.114
ID  - Gao2019/10
ER  -