A Comparative Study on the Dynamic Trends, Structural Coordination, and Investment Efficiency of Health Resource Allocation in Guangxi

DOI: 10.12201/bmr.202604.00141

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  Abstract: Objective：To analyze the dynamic trends, structural coordination, and macro-efficiency of health resource allocation in the Guangxi Zhuang Autonomous Region from 2014 to 2023, identify key issues, and provide empirical evidence for optimizing regional health planning. Methods：Based on panel data from 2014-2023, a three-dimensional analytical framework of Dynamic Trends - Structural Coordination - Macro-Efficiency was constructed. Utilizing panel data from Guangxi, Guizhou, and national levels, a comprehensive analysis was conducted using the Average Annual Growth Rate, structural proportion indicators, and the Input-Output Relative Efficiency Index. Results：From 2014 to 2023, the total amount of health resources in Guangxi continued to grow. However, the average annual growth rates of human resources for health (practicing physicians and registered nurses) (5.27%, 6.92%) lagged behind those of Guizhou Province (7.86%, 9.20%). Structurally, the Bed-to-Physician Ratio in Guangxi (2.49) was higher than the national average (2.13), indicating a relatively heavier workload per physician. The Nurse-to-Physician Ratio (1.38) appeared high due to the low base number of physicians, while the actual nursing workforce remained insufficient. In terms of efficiency, the health input efficiency in Guangxi showed a √ transition. The Input-Output Relative Efficiency Index jumped from 0.52 during 2014-2018 to 16.63 during 2019-2023, indicating a shift in the growth driver from funding input-driven to human resources and policy effectiveness-driven. Conclusion：Although significant progress has been made in the efficiency of health resource allocation in Guangxi, prominent issues such as the insufficient total volume of human resources and internal structural imbalances persist. Future efforts should consolidate the talent-driven model and strengthen planning constraints to promote the sustained high-quality development of resource allocation.

  Key words: health; resource allocation,dynamic; analysis,structural; coordination,input; efficiency, regional; comparison

  Submit time: 21 April 2026

  Copyright: The copyright holder for this preprint is the author/funder, who has granted biomedRxiv a license to display the preprint in perpetuity.
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