Evidence map›Paper›PMID 40629274›Full record

ArticleBMC public health2025

Regional disparities and influencing factors of health production efficiency: evidence from China.

Hongwei Li, Ruixin Wang, Hongliang Wang

Abstract read
In one paragraph

Article in BMC public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
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  4. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Hongwei LiCollege of Economics and Management, Shandong University of Science and Technology, Qingdao, 266590, China. lihongwei305@163.com.
Ruixin WangCollege of Economics and Management, Shandong University of Science and Technology, Qingdao, 266590, China.
Hongliang WangSchool of Economics, Nanjing Audit University, Nanjing, China.

Funding

Ministry of Education Humanities and Social Sciences Research Fund Project 18YJA790076National Social Science Fund Project 20BJL151Shandong Provincial Natural Science Foundation Project ZR2022MG085
6 · The paper itself

Abstract

backgroundThe health of the populace is a fundamental pillar for China's sustainable economic growth. Health production efficiency refers to the ability to maximize the health outcomes of residents given a certain level of resource inputs. It reflects the efficiency of resource utilization in the process of health production. This paper evaluates health production efficiency in China, analyzes regional disparities, and explores influencing factors.

methodsAfter constructing an evaluation index system for residents' health production efficiency, this study employs the undesired output-SBM super-efficiency model to measure health production efficiency. Regional disparities in health production efficiency are analyzed using the Dagum Gini coefficient, while a dynamic spatial Durbin model is applied to investigate the influencing factors and spatial spillover effects.

resultsThe findings show: (1) Health production efficiency is generally on the rise nationwide, with eight major economic zones experiencing an increase in provinces with high efficiency and a decrease in those with low efficiency, except for a downturn in 2020 caused by the pandemic. (2) The overall disparity in health production efficiency has been steadily narrowing. Intra-regional disparities among the eight major economic zones vary, while inter-regional disparities have gradually declined but continue to represent the primary source of the overall gap. (3) Health production efficiency exhibits significant and positive spatial spillover effects both temporally and spatially. Per capita GDP exerts strong negative direct and spillover effects on health production efficiency. Residents' income demonstrates a positive spillover effect, while population density shows a significant negative overall effect.

conclusionsThis study conducts a comprehensive evaluation of health production efficiency through the construction of an index system, revealing an overall upward trend in health production efficiency. Intra-regional disparities remain the primary source of the overall differences in health production efficiency across China. Policymakers need to address the challenges posed by per capita GDP and population density on health production efficiency while leveraging the positive impact of residents' income levels to promote sustainable and balanced regional development. This study can assist the government in optimizing the allocation of healthcare resources, reducing regional health disparities, and formulating more equitable health policies.

Indexed as

Healthcare DisparitiesChinaHumansDagum Gini CoefficientDynamic Spatial Durbin ModelHealth production efficiencyUndesirable output-SBM super-efficiency model

Identifiers

PMID40629274
PMCPMC12235992

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.