Hospital and health-center bed expansion and persistent relative mismatch across geometry-stable non-district Chinese counties, 2015–2023
Year: 2026
Type: article
Abstract: Introduction: Territorial health equity depends not only on expanding health resources but also on aligning local capacity with territorial planning contexts. We examined whether changes in hospital and health-center bed allocation were associated more strongly with territorial planning context or local fiscal-economic capacity. Methods: We analyzed a 2015-2023 panel of 1,787 geometry-stable non-district counties in China. The analysis combined county and province-by-year fixed effects, long-difference models, block-level Shapley decomposition, high-mismatch-state transitions, spatial diagnostics, discrete-time exit models, and adjacent-county pair comparisons. Results: Median beds per 10,000 registered residents increased from 35.1 in 2015 to 54.0 in 2023, whereas the distribution of relative planning-supply mismatch changed little. Planning-context and capacity blocks explained similarly small shares of annual variation in total beds. For bed density, the larger baseline planning-context share was driven primarily by the negative population coefficient and did not indicate allocation aligned with observed healthcare need. Higher initial capacity was associated with greater cumulative bed-density growth, lower relative mismatch, and a higher probability of exiting the high-mismatch state. Among county-years previously classified as high-mismatch, 84.0% remained in that state in the following year. Relative mismatch remained spatially clustered, but prefecture boundaries did not significantly amplify capacity-related bed-density gaps. Discussion: Aggregate expansion, relative territorial alignment, and recovery from persistent high mismatch represent distinct health-system outcomes. The findings support context-sensitive allocation, capacity-sensitive financing, and duration-sensitive monitoring, while remaining associational rather than causal.
Source: Frontiers in Public Health
Authors: Kai Dai, Ziao Chen, Ling Wang, Zihao Lin, Yiqiang Feng
Language: English
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $3,801
OpenAlex ID: W7222685558
