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干旱区地理 ›› 2026, Vol. 49 ›› Issue (2): 381-392.doi: 10.12118/j.issn.1000-6060.2025.310 cstr: 32274.14.ALG2025310

• 区域发展 • 上一篇    下一篇

中国居家社区养老与机构养老耦合协调格局及影响因素研究

刘昊1(), 李福莲2, 汪圣1()   

  1. 1.山东农业大学公共管理学院,山东 泰安 271018
    2.山东工商学院工商管理学院,山东 烟台 264003
  • 收稿日期:2025-05-28 修回日期:2025-07-02 出版日期:2026-02-25 发布日期:2026-02-27
  • 通讯作者: 汪圣(1989-),男,博士,副教授,主要从事社会保障理论与政策研究. E-mail: happywangsheng@163.com
  • 作者简介:刘昊(1992-),男,博士,副教授,主要从事区域经济与社会保障研究. E-mail: lhsdau@163.com
  • 基金资助:
    教育部人文社会科学研究青年基金项目(22YJCZH103)

Coupling and coordination pattern and influencing factors of home community elderly care and institutional elderly care in China

LIU Hao1(), LI Fulian2, WANG Sheng1()   

  1. 1. School of Public Administration, Shandong Agricultural University, Tai’an 271018, Shandong, China
    2. School of Management, Shandong Technology and Business University, Yantai 264003, Shandong, China
  • Received:2025-05-28 Revised:2025-07-02 Published:2026-02-25 Online:2026-02-27

摘要:

推动不同养老模式耦合协调发展是优化我国养老服务资源配置的有效路径。基于2018—2022年面板数据,运用耦合协调度模型和地理探测器等方法,实证分析中国居家社区养老与机构养老的时空耦合协调性及其影响因素。结果表明:(1) 居家社区养老与机构养老耦合协调度和相对发展度总体上呈上升趋势。耦合协调度随时间发展表现出持续向好趋势,相对发展度居家社区养老“同步发展>超前发展>滞后发展”的态势逐渐清晰。(2) 迈入协调阶段的省域规模持续扩大,并逐步展示出从中东部地区拓展至西部及东北地区的演化态势;两者相对发展度的阶段跃升现象显著,尤其是西部地区,跃升省域数量相较于中部和东部地区更为突出。(3) 两者耦合协调度具有正向空间相关性,且呈现波动上升演进方向,相关性强度表现出“西部>东部>中部>东北”的空间分布,主要为高-高聚集和低-低聚集2种模式。(4) 组织力量、养老需求和科技水平是二者耦合协调度的主要影响因素。研究结果可为破解我国养老服务供给结构性矛盾,创新发展养老服务政策体系提供理论依据与决策参考。

关键词: 居家社区养老, 机构养老, 养老服务, 耦合协调, 影响因素

Abstract:

Promoting the coordinated development of different elderly care models is an effective way to optimize the allocation of elderly care service resources in our country. Based on panel data from 2018 to 2022, this study empirically analyzes spatiotemporal coupling coordination and influencing factors of home community elderly care and institutional elderly care in China using a coupling coordination model, a geographic detector, and other methods. The results indicate that (1) The coupling coordination degree and relative development degree between home community elderly care and institutional elderly care are generally on the rise. The coupling coordination degree has shown a continuous improvement trend over time. The relative development degree of home community elderly care is gradually becoming clear with the trend of “synchronous development>advanced development>lagging development”. (2) The number of provinces entering the coordination stage (III and IV) continues to increase and shows an evolutionary pattern of gradually spreading from the central and eastern regions to the western and northeastern regions in space. The phenomenon of stage transition in relative development is more pronounced, and the western region has significantly more provinces in transition than the central and eastern regions. (3) The coupling coordination degree has a positive spatial correlation and a fluctuating upward trend. The correlation strength shows a spatial pattern of “western>eastern>central>northeast”, with mostly HH-type and LL-type clustering. (4) Organizational strength, elderly care demand, and technological level are the main influencing factors of the coupling coordination degree. This study’s findings can provide a theoretical basis and policy recommendations for addressing structural contradictions in China’s elderly care service supply and for innovating the development of the elderly care policy system.

Key words: home community elderly care, institutional elderly care, elderly care services, coupling coordination, influencing factors