Evidence map›Paper›PMID 35918427›Full record

ArticleScientific reports2022

Inequality of public facilities between urban and rural areas and its driving factors in ten cities of China.

Ronghua Xu, Wenze Yue, Feiyang Wei, Guofu Yang, Yi Chen, Kaixuan Pan

Abstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

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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

6 authors.

Ronghua XuDepartment of Land Management, Zhejiang University, Zijingang Campus, 866 Yuhangtang Road, Hangzhou, 310058, Zhejiang, People's Republic of China.
Wenze YueDepartment of Land Management, Zhejiang University, Zijingang Campus, 866 Yuhangtang Road, Hangzhou, 310058, Zhejiang, People's Republic of China. wzyue@zju.edu.cn.
Feiyang WeiSchool of Design and Environment, National University of Singapore, Singapore, 117566, Singapore.
Guofu YangArtistic Design & Creation School, Zhejiang University City College, Hangzhou, 310015, People's Republic of China.
Yi ChenCollege of Life Sciences, Zhejiang University, Hangzhou, 310058, People's Republic of China.
Kaixuan PanInstitute of Environmental Science, Leiden University, Einsteinweg 2, 2333 CC, Leiden, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Urban development continues to face the dilemma of spatial inequality of public facilities, particularly educational and medical facilities. Identifying inequalities in various types of public facilities and their driving mechanisms is crucial in reducing social inequality. However, information on this topic is limited. This study took 10 typical cities in China as cases. We used the methods of the Gini coefficient and hedonic price model as bases in evaluating the equality of nine types of education and medical facilities, focusing on the differences between urban and rural areas. Moreover, we further analyzed the driving factors of facility equality. Results showed that equality of public facilities in urban areas was significantly higher than that in rural areas. Primary schools, middle schools, and health service centers were relatively equal, and kindergartens and pharmacies were unequal only in rural areas. However, the equality of facilities with large-size or commercial attributes was not optimistic. Furthermore, there remained a significant gap among counties (or districts), which was mainly driven by population, economy, and building density in the form of logarithm and logarithmic linear models. Our research contributes to an in-depth understanding of the inequality of public facilities and further supports decision-making to improve social equality.

Indexed as

Health ServicesPublic FacilitiesChinaCitiesHumansRural PopulationSocioeconomic FactorsUrban Population

Identifiers

PMID35918427
PMCPMC9344805

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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.