ArticleScientific reports2024
Efficiency evaluation, regional technological heterogeneity and determinant of total factor productivity change in China's healthcare system.
Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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7 citing papers in PubMed.
- China's new quality productive forces in healthcare: spatial disparities, dynamic evolution, and convergence.BMC health services research · 2026Article
- Impact mechanisms and spatial effects of new quality productive forces on healthcare resource allocation in China.Scientific reports · 2026Article
- Does sports industry development improve regional public health? A cross-regional heterogeneous study in China.Frontiers in public health · 2026Article
- Construction and Efficiency Estimation of a Nursing Human Resource Evaluation System in Integrated Medical-Nursing Elderly Care Institutions Using Data Envelopment Analysis.Journal of nursing management · 2026Article
- Research on the allocation efficiency of integrated medical and older adult care institutions using the Malmquist productivity index.Frontiers in public health · 2026Article
- New quality productivity-driven development of clinical nutrition in Chinese public hospitals: a Chongqing survey.Frontiers in public health · 2026Article
- Determinants of Asian Students' Medical Satisfaction in China: A Cross-Sectional Survey.Journal of multidisciplinary healthcare · 2025Article
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Abstract
Enhancing efficiency and productivity in countries' healthcare systems is a global challenge. The Chinese government invested huge resources to improve the efficiency and productivity of the healthcare system across the country. To assess the success of the mission above, this research utilized DEA-SBM Meta frontier analysis alongside the Malmquist Productivity Index. These methodologies were employed to gauge Efficiency, production technology heterogeneity, and productivity of healthcare systems change across 31 mainland Chinese provinces and four distinct geographical regions throughout the study period spanning from 1997 to 2022. Results revealed that the mean efficiency score of China's healthcare system is 0.7672. It indicates a growth potential of 23.28 percent in the operational efficiency of healthcare systems. The eastern region's efficiency level (0.86917) is higher among all four regions. Zhejiang, Shandong, and Guangdong are the top three healthcare-efficiency performers. The technology gap ratio indicates that eastern regions witnessed a high TGR (0.9909), showing the country's attainment of superior healthcare technologies. Beijing, Guangdong, Shanghai, Tianjin, and Zhejiang witnessed higher TGR values among all 31 mainland Chinese provinces. The total factor productivity index of the healthcare system witnessed a slight growth of 0.33%, with an average MI score of 1.0033. Efficiency change (EC) was found to be the main determinant of TFPC as technology change TC is less than EC. Moreover, the MI score of the Western region (1.033) is higher than the corresponding Eastern, northeastern, and central regions. Guizhou, Anhui, and Yunnan were found to be the top three performers in TFPC growth. Finally, the Kruskal-Wallis test confirmed the statistically significant difference among 4 Chinese regions for the healthcare system's efficiency, TFPC, and TGR.
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