ArticleFrontiers in public health2024
Evaluating China's primary healthcare services' efficiency and spatial correlation: a three-stage DEA-Malmquist model.
Article in Frontiers in public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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9 citing papers in PubMed.
- Distribution dynamics and spatial dependence in healthcare resource allocation efficiency: evidence of path dependence and club formation in China.Frontiers in public health · 2026Article
- A study on the efficiency and spatial correlation of health resource allocation in Chinese hospitals.PloS one · 2026Article
- Modeling and scientific analysis of pediatric medication evaluation based on MDM-DEA-Malmquist model: construction of health management in pediatrics in developing countries.Italian journal of pediatrics · 2025Article
- Evaluation of Health Resource Efficiency and Its Influencing Factors in Ethnic Minority Areas of Guangxi: Data from 2010 to 2022.Risk management and healthcare policy · 2025Article
- Efficiency of the healthcare system and the impact of smoking bans: a DEA analysis of the Guangdong-Hong Kong-Macau Greater Bay Area in Asia.Frontiers in public health · 2025Article
- Comprehensive evaluation of primary health care service capacity in China based on TOPSIS and RSR methods.Frontiers in public health · 2025Article
- Efficiency divergence and convergence in China's hospital sector: empirical insights from Guangdong Province using a multi-method approach.Frontiers in public health · 2025Article
- Efficiency analysis of primary health care resources: DEA and Tobit regression evidence from village clinics in Jiangsu Province.Frontiers in public health · 2025Article
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7 authors.
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Abstract
Introduction: Enhancing the efficiency of primary healthcare services is essential for a populous and developing nation like China. This study offers a systematic analysis of the efficiency and spatial distribution of primary healthcare services in China. It elucidates the fundamental landscape and regional variances in efficiency, thereby furnishing a scientific foundation for enhancing service efficiency and fostering coordinated regional development. Methods: Employs a three-stage DEA-Malmquist model to assess the efficiency of primary healthcare services across 31 provincial units in mainland China from 2012 to 2020. Additionally, it examines the spatial correlation of efficiency distribution using the Moran Index. Results: The efficiency of primary healthcare services in China is generally suboptimal with a noticeable declining trend, highlighting significant potential for improvement in both pure technical efficiency and scale efficiency. There is a pronounced efficiency gap among provinces, yet a positive spatial correlation is evident. Regionally, efficiency ranks in the order of East > Central > West. Factors such as GDP per capita and population density positively influence efficiency enhancements, while urbanization levels and government health expenditures appear to have a detrimental impact. Discussion: The application of the three-stage DEA-Malmquist model and the Moran Index not only expands the methodological framework for researching primary healthcare service efficiency but also provides scientifically valuable insights for enhancing the efficiency of primary healthcare services in China and other developing nations.
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