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Evaluating China's primary healthcare services' efficiency and spatial correlation: a three-stage DEA-Malmquist model
Rui Huang1, Wan Li1, Baoguo Shi2
1Department of Management, School of Management, Minzu University of China, Beijing, China.
Frontiers in Public Health
|July 4, 2024
Summary
Primary healthcare services in China are generally inefficient and declining, with significant regional disparities. Improvements in technical and scale efficiency are needed, influenced by economic and demographic factors.
Area of Science:
- Health Services Research
- Public Health Policy
- Econometrics
Background:
- Primary healthcare efficiency is crucial for China's populous and developing context.
- Understanding regional variations in primary healthcare service delivery is essential for equitable development.
Purpose of the Study:
- To systematically analyze the efficiency and spatial distribution of primary healthcare services in China.
- To provide a scientific basis for enhancing service efficiency and promoting coordinated regional development.
Main Methods:
- Utilized a three-stage Data Envelopment Analysis (DEA)-Malmquist model to evaluate efficiency from 2012 to 2020 across 31 provincial units.
- Employed the Moran Index to examine the spatial correlation of efficiency distribution.
Main Results:
- Primary healthcare efficiency in China is generally suboptimal, showing a declining trend with potential for improvement in technical and scale efficiency.
- Significant provincial efficiency gaps exist, but a positive spatial correlation in efficiency distribution was observed.
- Regional efficiency followed the order: East > Central > West. GDP per capita and population density positively impacted efficiency, while urbanization and government health expenditure showed negative correlations.
Conclusions:
- The study's methodological approach offers valuable insights for improving primary healthcare service efficiency in China and other developing nations.
- Findings underscore the need for targeted interventions to address regional disparities and optimize resource allocation in primary healthcare.
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