ArticleInternational journal of environmental research and public health2020
The Spatial Correlations of Health Resource Agglomeration Capacities and Their Influencing Factors: Evidence from China.
Article in International journal of environmental research and public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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20 citing papers in PubMed.
- Spatiotemporal heterogeneity and multiscale social influencing factors of syphilis in the mainland of China, 2005-2022.iScience · 2026Article
- Global burden of non-Hodgkin lymphoma in the elderly: a population-based study using GBD 2021.Annals of hematology · 2026Article
- Comprehensive evaluation of preventive medicine talent in Chinese medical vocational colleges based on the entropy weight method.Frontiers in medicine · 2026Article
- A study on the efficiency and spatial correlation of health resource allocation in Chinese hospitals.PloS one · 2026Article
- Equity and efficiency of public health resource allocation in China.BMC public health · 2025Article
- Spatial-temporal distribution and evolution of medical and health talents in China.BMC public health · 2025Article
- Current situation and countermeasures of traditional Chinese medicine resource distribution: a case study of Wuyi County in China.Frontiers in public health · 2025Review
- New-type urbanization and regional public health: mechanisms and effects.Frontiers in public health · 2025Article
- Equity and Efficiency of Medical Resource Allocation in National Central Cities, China.Risk management and healthcare policy · 2025Article
- Barriers and enablers of HPV vaccination among caregivers of school-age girls in resource-limited regions of Western Sichuan, China: a mixed-methods study.Frontiers in public health · 2025Article
- An analysis of factors influencing technical efficiency of health expenditures in China.Health economics review · 2024Article
- The Distribution and Associated Factors of HIV/AIDS Among Youths in Guangxi, China, From 2014 to 2021: Bayesian Spatiotemporal Analysis.JMIR public health and surveillance · 2024Article
- Identifying determinants of spatial agglomeration of healthcare resources by using spatial econometric methods: a longitudinal study in China.Frontiers in public health · 2024Article
- Evaluating China's primary healthcare services' efficiency and spatial correlation: a three-stage DEA-Malmquist model.Frontiers in public health · 2024Article
- Regional Inequality and Associated Factors of Emergency Medicine Beds Distribution in China.International journal of public health · 2024Article
- Evaluation of the impact of the COVID-19 pandemic on health service utilization in China: A study using auto-regressive integrated moving average model.Frontiers in public health · 2023Article
- Geographical Pattern Evolution of Health Resources in China: Spatio-Temporal Dynamics and Spatial Mismatch.Tropical medicine and infectious disease · 2022Article
- Article
- Effects of Healthcare Policies and Reforms at the Primary Level in China: From the Evidence of Shenzhen Primary Care Reforms from 2018 to 2019.International journal of environmental research and public health · 2022Article
- Finding flaws in the spatial distribution of health workforce and its influential factors: An empirical analysis based on Chinese provincial panel data, 2010-2019.Frontiers in public health · 2022Article
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3 authors.
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Abstract
We measured the health resource agglomeration capacities of 31 Chinese provinces (or municipalities) in 2004-2018 based on the entropy weight method. Using a modified spatial gravity model, we constructed and analyzed the spatial correlation network of these health resource agglomeration capacities and their influencing factors through social network analysis. We found that: (i) China's health resource agglomeration capacity had a gradual strengthening trend, with capacity weakening from east to west (strongest in the eastern region, second strongest in the central region, and weakest in the western region). (ii) The spatial network of such capacities became more densely connected, and the network density and level (efficiency) showed an upward (downward) trend. (iii) In terms of centrality, the high-ranking provinces (or municipalities) were Beijing, Shanghai, Jiangsu, Zhejiang, Guangdong, Shandong, Hunan, Hubei, Fujian, Anhui, Jiangxi, and Tianjin, while the low-ranking were Tibet, Qinghai, Gansu, Ningxia, Inner Mongolia, Heilongjiang, Yunnan, Guizhou, Xinjiang, Hainan, Shaanxi, and Shanxi. (iv) Block 1 (eight provinces or municipalities), including Beijing, Tianjin, and Hebei, had a "net spillover" effect in the spatial network of health resource agglomeration capacities; Block 2, (seven provinces or municipalities), including Shanghai, Jiangsu, and Zhejiang, had a "bidirectional spillover" effect in the spatial network; Block 3 (seven provinces or municipalities), including Anhui, Hubei, and Hunan, had a "mediator" effect in the network; and Block 4, (nine provinces or municipalities), including Sichuan, Guizhou, and Tibet, had a "net beneficial" effect in the network. (v) The economic development, urbanization wage, and financial health expenditure levels, and population size had significant positive correlations with the spatial network of health resource agglomeration capacities. Policy recommendations to enhance the radiating role of health resources in core provinces (or municipalities), rationally allocate health resources, and transform ideas to support public health resource services were provided.
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