Temporal–spatial analysis and driving factors of coupling coordination between population and health services systems in China, 2010–2022

Demographic transitions are reshaping health needs and challenging the sustainability of health governance, with the coordination of population and health services systems closely connected to these processes. This study investigates China’s population and health services systems from 2010 to 2022, aiming to explore the spatiotemporal evolution and key driving factors of their coupling coordination. Data were obtained from the China Statistical Yearbook and China Health Statistics Yearbook, covering 31 provinces from 2010 to 2022. An evaluation model was developed to assess the coupling coordination degree (CCD) between the population and health services systems. Spatial autocorrelation analysis was employed to examine spatial dependence, and a Spatial Durbin Model (SDM) was applied to identify key driving factors. From 2010 to 2022, the development indices of China’s population and health services systems rose steadily, with the CCD increasing from 0.407 to 0.835, indicating a progression from initial imbalance toward advanced coordination. Regionally, the pattern of “east–strong, central–rising, west–weak” persisted, though disparities have diminished as central and western regions steadily caught up. Spatial analysis confirmed significant dependence and stable in provincial CCD, with patterns dominated by “high–high” clusters in the Yangtze River Delta and Beijing–Tianjin–Hebei region, which gradually extended into central provinces, and by persistent “low–low” clusters in the west and northeast, alongside several outliers. Spatial econometric results identified government health expenditure, health insurance coverage, digital and transport infrastructure as significant positive drivers, with government health expenditure and digital development showing stronger cross-regional spillovers. Coordination between the population and health services systems improved substantially, although regional disparities persisted. Further progress requires closer alignment between demographic change and health service capacity. Differentiated regional strategies are therefore needed: economically and resource-advantaged regions could harness agglomeration and spillover effects through cross-regional collaboration; central provinces should consolidate their catch-up momentum and strengthen their regional service capacity; and western and other low-coordination regions, facing population mobility and ageing pressures, should prioritise targeted fiscal transfers, workforce retention incentives and improved service accessibility to promote more equitable and sustainable development.

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Publication Details

Journal
BMC Health Services Research
Published
2026-07-23
DOI
https://doi.org/10.1186/s12913-026-15196-5
Primary Topic
Healthcare Systems and Reforms
Type
article
Field-Weighted Citation Impact
0.00

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article

Temporal–spatial analysis and driving factors of coupling coordination between population and health services systems in China, 2010–2022

Weicun Ren, Linbin Luo, Ruibo He, Li Zhang et al.
BMC Health Services Research
Healthcare Systems and Reforms
article

Temporal–spatial analysis and driving factors of coupling coordination between population and health services systems in China, 2010–2022

Weicun Ren, Linbin Luo, Ruibo He, Li Zhang, Yiqing Xing
article en

Abstract

Demographic transitions are reshaping health needs and challenging the sustainability of health governance, with the coordination of population and health services systems closely connected to these processes. This study investigates China’s population and health services systems from 2010 to 2022, aiming to explore the spatiotemporal evolution and key driving factors of their coupling coordination. Data were obtained from the China Statistical Yearbook and China Health Statistics Yearbook, covering 31 provinces from 2010 to 2022. An evaluation model was developed to assess the coupling coordination degree (CCD) between the population and health services systems. Spatial autocorrelation analysis was employed to examine spatial dependence, and a Spatial Durbin Model (SDM) was applied to identify key driving factors. From 2010 to 2022, the development indices of China’s population and health services systems rose steadily, with the CCD increasing from 0.407 to 0.835, indicating a progression from initial imbalance toward advanced coordination. Regionally, the pattern of “east–strong, central–rising, west–weak” persisted, though disparities have diminished as central and western regions steadily caught up. Spatial analysis confirmed significant dependence and stable in provincial CCD, with patterns dominated by “high–high” clusters in the Yangtze River Delta and Beijing–Tianjin–Hebei region, which gradually extended into central provinces, and by persistent “low–low” clusters in the west and northeast, alongside several outliers. Spatial econometric results identified government health expenditure, health insurance coverage, digital and transport infrastructure as significant positive drivers, with government health expenditure and digital development showing stronger cross-regional spillovers. Coordination between the population and health services systems improved substantially, although regional disparities persisted. Further progress requires closer alignment between demographic change and health service capacity. Differentiated regional strategies are therefore needed: economically and resource-advantaged regions could harness agglomeration and spillover effects through cross-regional collaboration; central provinces should consolidate their catch-up momentum and strengthen their regional service capacity; and western and other low-coordination regions, facing population mobility and ageing pressures, should prioritise targeted fiscal transfers, workforce retention incentives and improved service accessibility to promote more equitable and sustainable development.

BMC Health Services Research
Wuhan University (CN), Zhengzhou University (CN), Hubei University Of Economics (CN)
National Natural Science Foundation of China
Industry, innovation and infrastructure
Openalex Percentile: Top 6%
Healthcare Systems and Reforms
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