ORIGINAL RESEARCH article
Front. Health Serv.
Sec. Cost and Resource Allocation
Volume 5 - 2025 | doi: 10.3389/frhs.2025.1608807
Analysis of Healthcare Resource Allocation Efficiency and Improvement Pathways in Guangxi Based on fsQCA Configuration Perspective
Provisionally accepted
- Guilin Medical University, Guilin, China
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This study evaluates the efficiency of healthcare resource allocation in Guangxi, China, utilizing an integrated methodological framework to delineate optimization strategies. Data envelopment analysis (DEA) was employed to quantify allocation efficiency, whereas fuzzy-set qualitative comparative analysis (fsQCA) delineated causal pathways. The 2022 results demonstrated suboptimal overall efficiency (mean DEA score = 0.364), exhibiting substantial interregional heterogeneity. fsQCA analysis identified four high-efficiency configurations (consistency = 0.809; coverage = 0.771) and seven low-efficiency pathways (consistency = 0.876; coverage = 0.733), with no individual determinant surpassing the 0.9 consistency threshold, thereby corroborating the multifactorial etiology of healthcare efficiency. The findings substantiate that efficient resource allocation stems from intricate, asymmetric interactions among multiple determinants. Accordingly, policymakers should formulate adaptive interventions that mitigate spatial disparities through synergistic, context-sensitive strategies customized to distinct regional configurations.
Keywords: Healthcare resource allocation, Efficiency evaluation, fsQCA, Configuration analysis, Guangxi
Received: 15 Apr 2025; Accepted: 09 Oct 2025.
Copyright: © 2025 Shangyuhui. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Huang Shangyuhui, 124518513@qq.com
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