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ORIGINAL RESEARCH article

Front. Public Health
Sec. Public Health Policy
Volume 13 - 2025 | doi: 10.3389/fpubh.2025.1481402

How efficient are specialized public health services in China? A data envelopment analysis and geographically weighted regression approach

Provisionally accepted
Qian Bai Qian Bai 1,2Lieyu Huang Lieyu Huang 3Yan Guo Yan Guo 3Xin Xu Xin Xu 1Zhouyixin Zhang Zhouyixin Zhang 4Yuan Wang Yuan Wang 3Hao Chen Hao Chen 3*Ying Bian Ying Bian 1*
  • 1 State Key Laboratory of Quality Research in Chinese Medicines, Macau University of Science and Technology, Macau, China
  • 2 Office of labor and social security, School of management, Tianjin University of 9 Traditional Chinese Medicine, Tianjin, China
  • 3 Chinese Center For Disease Control and Prevention, Beijing, China
  • 4 Department of Public Health and Medicinal Administration, Faculty of Health Sciences, University of Macau, Macau, China

The final, formatted version of the article will be published soon.

    The Chinese public health system is grappling with escalating demands, which stemmed from the challenges of preventing chronic and infectious diseases, as well as the aging population. Meanwhile, in the context of restricted public health resources, how to efficiently utilize these resources becomes a paramount concern. This study aimed to evaluate the technical efficiency of specialized public health facilities, the major providers of public health services in China, then discuss its temporal and spatial distribution characteristics and finally investigate its influencing factors.The super slacks-based measure data envelopment model was constructed to calculate the efficiency of specialized public health facilities of 31 provinces from 2017 to 2019. Stepwise regression was applied to sort out significant independent variables. Then, geographically weighted regression was used to analyze the spatially varying associations between efficiency and independent variables. On average, the average technical, pure technical and scale efficiencies were 0.6569, 0.7336 and 0.9206, respectively. Notably, a subtle downward trend was observed in the technical efficiency, which declined from 0.6889 in 2017 to 0.6238 in 2019. From the efficiency decomposition, this reduction was mainly caused by the decreasing of scale efficiency. Besides, substantial geographic variations were observed, with the eastern region exhibiting greater levels of technical and pure technical efficiency. Contrarily, the western region appeared to perform better in terms of scale efficiency. Based on the geographically weighted regression, the proportion of public health expenditure had a noticeable negative impact on the technical efficiency, especially in partial central and eastern coastal provinces. On the other side, the ratio of elderly population, the sex ratio and the Nitrogen Oxides emission volume had positive impacts on technical efficiency with variations in coefficient magnitude across different geographic areas.The efficiency of specialized public health facilities hasn't achieved the optimal status, particularly in terms of technical efficiency. Moreover, the geographic variation was a significant issue affecting the sustainable and balanced performance of public health delivery system in China. The spatially heterogeneous associations between macro-regional factors and efficiency provide in-depth insights in assisting local governments to formulate more targeted and effective interventions, thereby contributing to reduce regional disparities.

    Keywords: specialized public health facilities, Efficiency, data envelopment analysis, Geographically weighted regression, China

    Received: 15 Aug 2024; Accepted: 29 Jan 2025.

    Copyright: © 2025 Bai, Huang, Guo, Xu, Zhang, Wang, Chen and Bian. 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:
    Hao Chen, Chinese Center For Disease Control and Prevention, Beijing, China
    Ying Bian, State Key Laboratory of Quality Research in Chinese Medicines, Macau University of Science and Technology, Macau, China

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.