The evolutionary logic of socialized older population care service demand in rural areas based on the HAPC model

基于HAPC模型的农村地区社会化老年人口照护服务需求的演化逻辑

阅读:1

Abstract

Chinese rural areas have entered a stage of moderate population aging ahead of urban regions, where mismatches between the supply and demand of older population care services are particularly pronounced. Establishing a socialized older population care service system has therefore become a critical response to the challenges posed by rural aging. This study develops a theoretical framework to explain the demand generation mechanism for rural socialized older population care services, identifying key influencing factors under both policy-driven and individual choice scenarios. Using data from the China Longitudinal Healthy Longevity Survey (CLHLS) from 2005 to 2018, we employ a hierarchical age-period-cohort (HAPC) model to examine the effects of age, period, and cohort on service demand. The results show that period effects are characterized by fluctuating upward trends in demand for both basic and expanded care services, primarily driven by changes in policy environments and economic conditions. Cohort effects significantly shape demand for expanded care services, but not for basic care services, with notable heterogeneity across regions and gender groups. Overall, rural demand for socialized older population care services is jointly influenced by age, period, and cohort dynamics. These findings suggest that optimizing the supply of older population care services in rural areas requires better alignment with differentiated demand characteristics to improve service relevance and effectiveness.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。