积极老龄化视角下江苏省老年人居环境水平变化与提升研究
The Change and Improvement in the Living Environment of the Elderly from the Active Aging Perspective in Jiangsu Province
徐康顺 1范君晖 1林伟杰2
作者信息
- 1. 上海工程技术大学管理学院,上海,201620
- 2. 中共泗阳县委党校,江苏 泗阳,223700
- 折叠
摘要
提升老年人居环境水平是江苏省老龄事业发展和养老体系构建与完善的重要一环.从积极老龄化视角出发,针对当前老年人居环境完善的重点、难点,构建了包括老年健康居住环境、老年健康支持环境和老年健康卫生环境 3 个维度共 15 个观测变量的老年人居环境指标体系,利用熵权-TOPSIS评价模型进行测度和分析.结果显示,2014-2023 年江苏省老年人居环境水平整体呈上升趋势,但提速放缓,2018 年老年健康卫生环境水平实现跨越式提升;环境空气优良率、养老服务机构数整体呈负增长;人均现住房建筑面积、移动电话普及率、人均公园绿地面积是重要影响因素.因此,结合积极老龄化"健康""保障""参与"的三大支柱才能进一步提升江苏省老年人居环境水平.
Abstract
The improvement of living environment of the elderly is an important part of the development of aging services and the con-struction and improvement of the elderly care system in Jiangsu Province.From the active aging perspective,this study addresses the keys and difficult points of improving living environment of the elderly.An index system for the elderly living environment was con-structed,encompassing three dimensions—elderly healthy living environment,elderly health support environment,and elderly health hygiene environment—with a total of 15 observed variables.The entropy-weighted TOPSIS evaluation model was used for measurement and analysis.The results show that the overall level of elderly living environment in Jiangsu Province has been on an upward trend from 2014 to 2023,but the growth rate has slowed down.In 2018,the level of elderly health and hygiene environment improved across levels.The overall rate of good environmental air quality and the number of elderly care service institutions showed an negative growth.The per capita current living space,mobile phone penetration rate,and per capita green park area are important influencing factors.Therefore,we should combine the three pillars of active aging,namely"health""security"and"participation"to further improve the living environment for the elderly in Jiangsu Province.
关键词
积极老龄化/老年人/人居环境Key words
active aging/the elderly/living environment引用本文复制引用
基金项目
中共泗阳县委党校2023年度校级科研课题(泗委校[2023]19号)
出版年
2024
NETL
NSTL
万方数据