%0 Journal Article
%T 多元共建视角下优化老年人力资源开发研究——基于CFPS2020实证分析<br>Research on Optimizing the Development of Human Resources for the Elderly from the Perspective of Multiple Co-Construction—Based on the Empirical Analysis of CFPS2020
%A 刘秋铭
%J Advances in Applied Mathematics
%P 3069-3077
%@ 2324-8009
%D 2022
%I Hans Publishing
%R 10.12677/AAM.2022.115327
%X 人口老龄化问题突出、劳动人口缩减，是我国经济社会发展亟待解决的重要问题。在积极老龄化背景下，充分认识到老年人力资源的潜在能量发掘老年人口红利将为经济社会发展注入新动力。但是由于目前对于老年人力资源开发的程度不足，导致老年人的实际就业率、就业质量不高。本文通过文献梳理发现老年人力资源开发的影响因素有三种类型分别是人口特征变量、社会特征变和健康特征变量。对CFPS2020数据进行Probit回归分析，发现这三种因素对老年人力资源开发均有显著影响。基于以上三种类型的影响因素从政府、企业、社会及个人多元主体参与的角度提出对策建议，旨在探索多元共建视角下优化老年人力资源开发的方案。<br />
The problem of aging population and shrinking labor force is an important problem to be solved urgently in my country’s economic and social development. In the context of active aging, fully real-izing the potential energy of the elderly’s human resources and exploiting the demographic divi-dend of the elderly will inject new impetus into economic and social development. However, due to the insufficient development of human resources for the elderly, the actual employment rate and employment quality of the elderly are not high. Through literature review, this paper finds that there are three types of factors influencing the development of human resources in the elderly, namely demographic variables, social characteristics and health characteristics. Probit regression analysis was performed on the CFPS2020 data, and it was found that these three factors had a sig-nificant impact on the development of human resources in the elderly. Based on the above three types of influencing factors, countermeasures and suggestions are put forward from the perspective of the participation of multiple subjects of government, enterprises, society and individuals, in or-der to explore the scheme of optimizing the development of human resources for the elderly from the perspective of multiple co-construction.
%K 积极老龄化，老年人力资源，Probit回归分析，多元共建<br>Active Aging
%K Human Resources for the Elderly
%K Probit Regression Analysis
%K Multiple Co-Construction
%U http://www.hanspub.org/journal/PaperInformation.aspx?PaperID=51958