Evaluating China's primary healthcare services' efficiency and spatial correlation
A three-stage DEA-Malmquist model
Bibliographic Data
| ID | 22073223 |
|---|---|
| Authors | Rui Huang (0000-0002-9945-4859, Minzu University of China), Wan Li (0000-0002-5908-0223, Minzu University of China, corresponding author), Baoguo Shi (0000-0003-3577-3890, Minzu University of China), Hao Su (0000-0001-5853-648X, Minzu University of China), Jing Hao (0000-0003-1387-9256, Minzu University of China), Chuanjun Zhao (0000-0002-9254-8481, Minzu University of China), Juhong Chai (Minzu University of China) |
| Year | 2024 |
| Volume | 12 |
| Pages | 1366327-1366327 |
| Publication date | 2024-06-19 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Frontiers in Public Health (JOURNAL) |
| Journal identifiers | ISSN: 2296-2565 • E-ISSN: 2296-2565 |
| Publisher | Frontiers Media SA (PUBLISHER • CH) |
| DOI | 10.3389/fpubh.2024.1366327 |
| PMID | 38962768 |
| OpenAlex | W4399819717 |
| Language | EN |
| Citations received | 5 |
| References cited | 74 |
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
China · Data mining · Data science · Econometrics · Economic growth · Economics · Geography · Health care · Primary health care · Statistics · Computer Science · Efficiency Analysis Using DEA · Global Health Care Issues · Healthcare Systems and Reforms · Mathematics
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| Unique citing works | 5 |
|---|---|
| Citations per year | 5 |
| Citation span | 2025 - 2026 (2) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 5 |