社区嵌入式养老服务发展影响因素研究——基于29个省级城市的模糊集定性比较分析
Influencing Factors of the Development of Community-Embedded Eldercare Services:Fuzzy-Set Qualitative Comparative Analysis of 29 Provincial Capital Cities
张仁枫1
作者信息
- 1. 四川大学马克思主义学院,四川成都 610207
- 折叠
摘要
社区嵌入式养老服务是新时代养老服务体系的重要组成部分,对于促进养老事业持续发展、社会稳定发挥着重要作用.运用定性比较分析(QCA)方法,以全国29个省级城市(港澳台,西藏、广西的省级城市除外)的数据为例,确定政策支持、养老服务基础设施、养老服务投资、科技因素和人才因素等五项条件变量,分析影响社区嵌入式养老服务发展的条件组合.研究结果显示:政策支持是社区嵌入式养老服务模式发展的充分条件,人才因素也起到了重要作用,养老服务投资的影响不显著.建议:加大政策支持力度,完善相关法律法规;提高养老服务专业人才的能力和水平;因地制宜,选择适合本地区的社区嵌入式养老服务模式.
Abstract
Community-embedded eldercare service is an important component of the elderly care service system in the new era,playing an important role in maintaining social stability and promoting the sustainable development of elderly care programme.Using the qualitative comparative analysis(QCA)method and data from 29 provincial capital cities in China(except those in Hong Kong,Macao,Taiwan,Xizang and Guangxi)to determine five conditional variables including policy support,eldercare service infrastructures,investments in elderly care services,and technological as well as talent factors,this paper analyzed conditions that affect the development of community-embedded elderly care.The results show that policy support is a sufficient condition for the development of the community-embedded eldercare model;the talent factor plays an important role,but the impact of investments is not significant.Therefore,it is necessary to enhance policy support and improve relevant laws and regulations.At the same time,it is advisable to improve the ability of professional talents who are engaged in elderly care services,and choose a care model according to local conditions.
关键词
社区嵌入式养老服务/影响因素/定性比较分析/模糊集定性比较分析方法Key words
community-embedded elderly care/influencing factors/qualitative comparative analysis/fuzzy-set qualitative comparative analysis引用本文复制引用
出版年
2024
NETL
NSTL
万方数据