Evidence map›Paper›PMID 42304346›Full record

ArticleBMC health services research2026

Evaluation of equity and efficiency in health resource allocation in underdeveloped county areas: empirical research from Guangxi, China.

Rong Peng, Meng Deng, Zhen Li, Jing Kang, Junyuan Wei, Nan Jiang, Xianjing Qin, Tingting Xu, Jun Feng

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Article in BMC health services research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

9 authors.

Rong Peng *The Second Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, 530007, P.R. China.
Meng Deng *Nanxishan Hospital of Guangxi Zhuang Autonomous Region, Guilin, Guangxi, 541000, P.R. China.
Zhen Li *Health Policy Research Center, Guangxi Medical University, Nanning, Guangxi, 530021, P.R. China.
Jing KangHealth Policy Research Center, Guangxi Medical University, Nanning, Guangxi, 530021, P.R. China.
Junyuan WeiDepartment of Emergency Management of Guangxi Zhuang Autonomous Region, Nanning, Guangxi, 530221, P.R. China.
Nan JiangHealth Policy Research Center, Guangxi Medical University, Nanning, Guangxi, 530021, P.R. China.
Xianjing QinHealth Policy Research Center, Guangxi Medical University, Nanning, Guangxi, 530021, P.R. China.
Tingting XuHealth Policy Research Center, Guangxi Medical University, Nanning, Guangxi, 530021, P.R. China. lydia410@163.com.
Jun FengHealth Policy Research Center, Guangxi Medical University, Nanning, Guangxi, 530021, P.R. China. 787783409@qq.com.

Funding

Key Topics of Guangxi Science and Technology Think Tank Gui Science Association (2024) K-03
6 · The paper itself

Abstract

backgroundThis study aims to analyze the equity and efficiency of health resource allocation in underdeveloped county areas, providing a reference for improving health resource policies in such regions.

methodsFocusing on eight underdeveloped counties in Guangxi, China, this research evaluates the fairness of health resource distribution using the Gini coefficient and Lorenz curve, and assesses allocation efficiency through the Data Envelopment Analysis model.

resultsIn terms of equity in health resource allocation from 2015 to 2021, the Gini coefficients for health resources per capita were between 0.07 and 0.23, indicating the highest level of equity; the fairness in the distribution of healthcare human resources was lower than that of medical institutions and hospital beds, with particularly low equity observed in the distribution of licensed (assistant) physicians. Regarding efficiency, the overall efficiency of health resource allocation averaged between 0.899 and 0.933, with the number of counties achieving efficiency fluctuating between three and five. There were inefficiencies observed, particularly in technical and scale efficiency, with low scale efficiency being a significant factor affecting the efficiency of health resource allocation in underdeveloped counties.

conclusionThe distribution of health resources based on population and GDP demonstrates greater equity compared to distribution based on geographic areas. The equity of institutions and beds is superior to that of healthcare human resources. Overall, the efficiency of health resource allocation is not high, and there are regional disparities in efficiency. Recommendations include increasing the focus on health resource allocation in underdeveloped areas, optimizing the management of healthcare human resources, and coordinating planning to improve the precision and rationality of resource investment, thereby enhancing the efficiency of health resource utilization.

Indexed as

Efficiency, OrganizationalHealth Care RationingHealth EquityResource AllocationChinaEmpirical ResearchHumansData envelopment analysisEfficiencyEquityHealth resource allocationUnder developed county

Identifiers

PMID42304346
PMCPMC13393900

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