• The spatial effects and influe...

Treffer: The spatial effects and influencing factors of inter-provincial health resource allocation efficiency in China.

Title:
The spatial effects and influencing factors of inter-provincial health resource allocation efficiency in China.
Authors:
Meng N; Department of Social Medicine and Health Management, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, Shandong Province, China.; School of Humanities and Management, Zhejiang Chinese Medical University, Hangzhou, Zhejiang Province, China.; NHC Key Lab of Health Economics and Policy Research, Shandong University, Jinan, , Shandong Province, China.; Center for Health Management and Policy Research, Shandong University (Shandong Provincial Key New Think Tank), Jinan, , Shandong Province, China., Wan Z; Department of Social Medicine and Health Management, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, Shandong Province, China.; NHC Key Lab of Health Economics and Policy Research, Shandong University, Jinan, , Shandong Province, China.; Center for Health Management and Policy Research, Shandong University (Shandong Provincial Key New Think Tank), Jinan, , Shandong Province, China., Chen H; Department of Social Medicine and Health Management, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, Shandong Province, China.; NHC Key Lab of Health Economics and Policy Research, Shandong University, Jinan, , Shandong Province, China.; Center for Health Management and Policy Research, Shandong University (Shandong Provincial Key New Think Tank), Jinan, , Shandong Province, China., Pei T; School of Humanities and Management, Zhejiang Chinese Medical University, Hangzhou, Zhejiang Province, China., Lin X; School of Humanities and Management, Zhejiang Chinese Medical University, Hangzhou, Zhejiang Province, China., Wu D; School of Humanities and Management, Zhejiang Chinese Medical University, Hangzhou, Zhejiang Province, China., Chen Y; School of Humanities and Management, Zhejiang Chinese Medical University, Hangzhou, Zhejiang Province, China. 59508582@qq.com., Meng X; School of Humanities and Management, Zhejiang Chinese Medical University, Hangzhou, Zhejiang Province, China. mengxuehui@aliyun.com.
Source:
BMC health services research [BMC Health Serv Res] 2025 Nov 22; Vol. 25 (1), pp. 1543. Date of Electronic Publication: 2025 Nov 22.
Publication Type:
Journal Article
Language:
English
Journal Info:
Publisher: BioMed Central Country of Publication: England NLM ID: 101088677 Publication Model: Electronic Cited Medium: Internet ISSN: 1472-6963 (Electronic) Linking ISSN: 14726963 NLM ISO Abbreviation: BMC Health Serv Res Subsets: MEDLINE
Imprint Name(s):
Original Publication: London : BioMed Central, [2001-
MeSH Terms:
Resource Allocation* , Health Care Rationing*/organization & administration , Efficiency, Organizational*, China/epidemiology ; Humans ; COVID-19/epidemiology ; SARS-CoV-2 ; Spatial Analysis
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Contributed Indexing:
Keywords: Global Malmquist index; Health resource allocation; Spatial autocorrelation; Spatial dubin model; Super-efficiency SBM model
Entry Date(s):
Date Created: 20251122 Date Completed: 20251128 Latest Revision: 20251129
Update Code:
20251129
PubMed Central ID:
PMC12659105
DOI:
10.1186/s12913-025-13694-6
PMID:
41275267
Database:
MEDLINE

Weitere Informationen

Background: Chinese government has been adjusting its strategies in response to rapid domestic and international changes to devise effective health policies and enhance public health. However, with the rapid socio-economic development and the COVID-19 outbreak, many researchers have identified issues of inefficiency and uneven distribution in health resource allocation within China. Therefore, how to scientifically allocate and efficiently use Chinese health resources has become an urgent issue.
Methods: The super-efficiency SBM model and global Malmquist model were used to measure and dynamically monitor the health resource allocation efficiency of 31 provinces in China from 2008 to 2020. Moran's I was applied to test the spatial autocorrelation of the efficiency, and the spatial Dubin model was constructed to analyze influencing factors. All data were collected from the China Health Statistical Yearbook and China Statistical Yearbook from 2008 to 2020.
Results: The super-efficiency SBM model revealed an average health resource allocation efficiency score of 0.632. The average Malmquist productivity index for the same period was 1.090, indicating a generally positive growth. Moran's I test showed a notable spatial autocorrelation in efficiency distribution. And the regression results of the spatial Dubin model showed that the efficiency was affected by the dependency ratio, illiteracy rate, per capita disposable income, per capita public health budget expenditure, number of medical insurance participants, and the balance of medical insurance fund revenue and expenditure.
Discussions: The results revealed that China's health resource allocation exhibited low efficiency and regional disparities, primarily driven by uneven regional development. From 2008 to 2020, overall productivity increased by 9%, which were predominantly attributable to technological advancements. Under conditions of strong spatial autocorrelation, the efficiency of health resource allocation was shaped by multiple factors operating through distinct spatial channels.
Conclusion: Given the challenges of health resource allocation efficiency in China, it is vital to implement targeted strategies. These include strengthening policy support for inefficiency regions, relying on technological progress and scientific management, fostering cross-regional collaboration to leverage spatial effects, and considering multiple factors for rational health resource allocation to ensure the sustainability of the health services.
(© 2025. The Author(s).)

Declarations. Ethics approval and consent to participate: Not applicable. Consent for publication: We consent for publication. Competing interests: The authors declare no competing interests.