ArticleRisk management and healthcare policy2025
Evaluation of Health Resource Efficiency and Its Influencing Factors in Ethnic Minority Areas of Guangxi: Data from 2010 to 2022.
Article in Risk management and healthcare policy, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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1 citing paper in PubMed.
- A study on performance evaluation of surgical departments in tertiary public hospitals based on the fuzzy combination-DEA method.Frontiers in public health · 2026Article
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5 authors.
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Abstract
Objective: Measuring the efficiency of health resources is one of the tools for determining how resources are utilized. Considering the necessity of assessing health resource efficiency, this study aims to evaluate the efficiency of health resource allocation and its influencing factors in Guangxi, a minority region. Methods: An input-oriented Data Envelopment Analysis (BCC-DEA) and the Malmquist index model were employed to analyze the static and intertemporal efficiency of health resource allocation in 14 cities in Guangxi from 2010 to 2022. Finally, a Tobit regression model was used to estimate the factors influencing health resource allocation efficiency. Results: Since the implementation of the new healthcare reform in 2009, the quantity of health resources in Guangxi has increased substantially. The average annual growth rate of total factor productivity change for health resources from 2010 to 2022 was 4.6%. However, the overall efficiency of health resource allocation remained low at 0.675, falling short of DEA effectiveness, with notable disparities across cities. Tobit regression analysis indicated that per capita disposable income (β = 0.252, 95% CI = 0.000-0.505) and the proportion of healthcare expenditure (β = 0.011, 95% CI = 0.004-0.017) were positively associated with efficiency scores, while population density (β = -0.001, 95% CI = -0.0007 - -0.0002) was negatively associated. These findings were further validated through a two-stage bootstrap truncated regression. Conclusion: The efficiency of health resource allocation in Guangxi remains in need of improvement due to issues such as insufficient technological innovation and an unscientific allocation of resource scale. It is recommended that relevant authorities increase investments in health funding and technological innovation, improve institutional mechanisms, and allocate health resources in a scientific and rational manner.
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