Analysis of The Use Data and Influencing Factor Model of Community Elderly Care Services for Empty-Nest Elderly
- DOI
- 10.2991/978-94-6463-056-5_110How to use a DOI?
- Keywords
- Empty-nest elderly; Community elderly care service; Influencing factor model
- Abstract
Due to the deepening of aging and the change of family structure, the number of empty-nest elderly in my country has been increasing year by year, which is accompanied by serious pension problems. The community elderly care service has alleviated the old-age dilemma of the empty-nest elderly to a certain extent. Therefore, it is of great significance to study the influencing factors of the empty-nest elderly on the use of community elderly care services. Based on the 2018 China Aging Social Tracking Survey (CLASS) data, this paper uses Spearman correlation analysis and binary logistic model to explore the influencing factors and influencing mechanisms of empty nesters using community care services, and based on this, it is necessary to improve community care services. Provide reference and suggestions to improve the utilization rate of community elderly care services, in order to meet the elderly care needs of empty nesters and effectively alleviate the plight of empty nesters.
- 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 - Mengdan Fan PY - 2022 DA - 2022/12/29 TI - Analysis of The Use Data and Influencing Factor Model of Community Elderly Care Services for Empty-Nest Elderly BT - Proceedings of the 2022 2nd International Conference on Management Science and Software Engineering (ICMSSE 2022) PB - Atlantis Press SP - 759 EP - 765 SN - 2589-4900 UR - https://doi.org/10.2991/978-94-6463-056-5_110 DO - 10.2991/978-94-6463-056-5_110 ID - Fan2022 ER -