摘要
本文基于养老设施的数量、容量、多样性、医疗服务要素,构建养老设施发展水平指标,研究江苏省95个区县养老资源空间分布特征。通过运用基尼系数和空间自相关分析,研究养老设施发展水平与人口老龄化的匹配性,并运用空间回归模型探究影响因素。研究发现:(1)高行政级别和经济发达区县的养老设施发展水平具有一定优势。(2)区县的养老设施发展水平与人口老龄化的空间失配地区呈现组团集聚的特点。(3)卫生机构床位数、绿地公园面积、水域面积等健康因素对养老设施发展水平具有显著的促进作用。医疗资源比自然环境资源对于养老设施发展水平更具有提升作用,养老设施的空间布局更加强调与老年人的健康需求相结合。本研究对养老设施布局优化具有积极意义。
With the deepening of the aging of society in China,the construction of sustainable elderly care resource system has become an important action to actively deal with the increasing number of aging population.The spatial matching of elderly care facilities not only needs to consider the number of facilities,but also combines service quality,as well as multiple service functions such as medical treatment and entertainment.According to the factors of healthcare and elderly care,this paper develops an index of elderly care development level accounting for the quantity,capacity,diversity and the medical factors.This study takes 95districts and counties of Jiangsu province as the study area and assesses the spatial distribution of pension resources.The Gini coefficient and spatial autocorrelation analysis are used to study the heterogeneity in the elderly care development level among districts and counties,and the spatial regression model is used to explore impact of the health factors.The results showed that:1)High administrative level and economically developed districts and counties have certain advantages in the development level of elderly care facilities because of their perfect medical facility system.2)There is a spatial mismatch between the development level of elderly care facilities and the degree of aging in districts and counties.3)Health facilities play a significant role in promoting the development level of pension facilities.
作者
顾宗倪
罗小龙
GU Zong-ni;LUO Xiao-long(School of Architecture and Urban Planning,Nanjing University,Nanjing 210093,China)
出处
《人文地理》
北大核心
2024年第1期40-47,112,共9页
Human Geography
基金
江苏省自然科学基金项目(BK20200338)。
关键词
养老设施
空间分异特征
空间效应
养老设施发展水平
健康因素
elderly care facility
spatial heterogeneity
spatial effect
elderly care development level
health factors