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健康、安全与参与:中国积极老龄化三大支柱的结构关系模型

Health, Security and Participation: A Structural Relationship Modeling among the Three Pillars of Active Ageing in China.

机构信息

School of Public Administration, South China University of Technology, Guangzhou 510641, China.

Centre for Social Security Studies, Wuhan University, Wuhan 430072, China.

出版信息

Int J Environ Res Public Health. 2020 Oct 4;17(19):7255. doi: 10.3390/ijerph17197255.

DOI:10.3390/ijerph17197255
PMID:33020396
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7579513/
Abstract

This paper explores and tests the impact of health and security on the participation of Chinese older people using data from the China Longitudinal Ageing Social Survey (CLASS) in 2014. Based on the framework of Active Ageing, the exogenous latent variables "health" and "security" are assumed to directly affect the endogenous latent variable "participation", and indirectly affect it via mediating the function of "willingness". The estimation results of the structural equation model show that health has a significant positive impact, while security has a significant negative impact on participation. In addition, health and security can significantly enhance the willingness of older people to participate. After the opposite effects of health and security are offset, their net effect on participation is generally negative. According to these empirical results, this paper concludes that the optimization of health coupled with the moderation of security level is more beneficial for promoting the participation of older people.

摘要

本文利用中国老年社会追踪调查(CLASS)2014 年的数据,探讨和检验了健康和保障对中国老年人参与的影响。基于积极老龄化框架,假设外生潜在变量“健康”和“保障”直接影响内生潜在变量“参与”,并通过中介“意愿”的作用间接地影响参与。结构方程模型的估计结果表明,健康对参与有显著的正向影响,而保障对参与有显著的负向影响。此外,健康和保障可以显著提高老年人参与的意愿。在健康和保障的反向作用相互抵消后,它们对参与的净效应通常是负面的。根据这些实证结果,本文得出结论,优化健康并适度保障水平更有利于促进老年人的参与。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1813/7579513/f7e77cede441/ijerph-17-07255-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1813/7579513/5967802dede4/ijerph-17-07255-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1813/7579513/0ee6d920f1bc/ijerph-17-07255-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1813/7579513/f7e77cede441/ijerph-17-07255-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1813/7579513/5967802dede4/ijerph-17-07255-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1813/7579513/0ee6d920f1bc/ijerph-17-07255-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1813/7579513/f7e77cede441/ijerph-17-07255-g003.jpg

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