Proceedings of the 2022 2nd International Conference on Public Management and Intelligent Society (PMIS 2022)

SPSS Binary Logistic Regression Was Used to Analyze the Influencing Factors of Contemporary People’s Pension Preference Under Social Support

Authors
Shujun Chen1, Zizhu Zhao1, *
1School of Finance and Public Administration, Harbin University of Commerce, Harbin, China
*Corresponding author. Email: 1755774272@qq.com
Corresponding Author
Zizhu Zhao
Available Online 7 December 2022.
DOI
10.2991/978-94-6463-016-9_25How to use a DOI?
Keywords
The pension that occupy the home; Community endowment; Influence factor
Abstract

In the face of the weakening of family pension service function and the increase of socialized pension demand, in order to clarify the influencing factors of contemporary people’s pension preference, this paper takes social support as independent variable, whether to choose home pension, community pension and institution pension as dependent variable, and personal characteristics as control variable to construct a binary Logistic model. Empirical analysis results show that home care is still the mainstream will, but most people have accepted socialized care. The level of family support has no significant influence on whether to choose home care, community support and government support have significant influence on whether to choose community care and institution care respectively. Therefore, in order to promote the development of socialized endowment, this paper puts forward some suggestions to increase community support and government support: expand the content of community endowment service, improve the ability of community endowment; Strengthen the publicity and construction of community elderly care; Strengthen government support and construct institutional elderly care service under government norms; Guide the transformation of social awareness of the elderly.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2022 2nd International Conference on Public Management and Intelligent Society (PMIS 2022)
Series
Atlantis Highlights in Computer Sciences
Publication Date
7 December 2022
ISBN
10.2991/978-94-6463-016-9_25
ISSN
2589-4900
DOI
10.2991/978-94-6463-016-9_25How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

TY  - CONF
AU  - Shujun Chen
AU  - Zizhu Zhao
PY  - 2022
DA  - 2022/12/07
TI  - SPSS Binary Logistic Regression Was Used to Analyze the Influencing Factors of Contemporary People’s Pension Preference Under Social Support
BT  - Proceedings of the 2022 2nd International Conference on Public Management and Intelligent Society (PMIS 2022)
PB  - Atlantis Press
SP  - 215
EP  - 226
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-016-9_25
DO  - 10.2991/978-94-6463-016-9_25
ID  - Chen2022
ER  -