Evidence map›Paper›PMID 41013625›Full record

ArticleInternational journal of health geographics2025

Exploring spatial-temporal heterogeneity in new-type urbanization's impact on health expenditure: a GTWR analysis.

Ming Li, Hua Yang

Abstract read
In one paragraph

Article in International journal of health geographics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

2 authors.

Ming LiSchool of Public Health, Jilin University, 1163 Xinmin street, Changchun City, Jilin Province, China. l_m486912@163.com.
Hua YangThe Clinical Laboratory Department, The people's hospital of Tonghua, Tonghua City, Jilin Province, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo address challenges arising from rapid urban development, China has formulated and implemented the New-Type Urbanization strategy. However, empirical research on the specific impacts between New-Type Urbanization and health expenditures remains limited.

methodsUsing panel data from 31 Chinese provinces (2012-2019), this study constructed a comprehensive evaluation index system for New-Type Urbanization across four dimensions: demographic, economic, social, and ecological. Geographically and Temporally Weighted Regression was employed to examine the spatial effects, influencing factors, and spatial heterogeneity of New-Type Urbanization's impact on health expenditures.

resultsThe results show that China's health expenditures primarily exhibit High-High and Low-Low clustering patterns with spatial fluctuations. Meanwhile, the impact of New-Type Urbanization on health expenditures demonstrates spatiotemporal heterogeneity and non-stationarity. As urbanization levels increase, the negative effects of health expenditure clustering expand, while the influence of economic urbanization weaken.

conclusionsOur findings fill the research gap regarding the impacts between New-Type Urbanization and health expenditures, while also providing direction for New-Type Urbanization development to support the implementation of health policies aimed at controlling health expenditure growth.

Indexed as

Geographic Information SystemsHealth ExpendituresSpatio-Temporal AnalysisUrbanizationChinaHumansGeographically and temporally weighted regressionHealth expenditureNew-type urbanizationSpatial heterogeneity

Identifiers

PMID41013625
PMCPMC12465553

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.