Evidence map›Paper›PMID 41575931›Full record

ArticlePloS one2026

Investigating spatial distribution of kindergartens in Chinese cities: A spatial stratified heterogeneity approach.

Bo Zhang, Shixiong He, Lei Jiang

Abstract read
In one paragraph

Article in PloS one, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Bo ZhangCenter for Human Geography and Urban Development, School of Geography and Remote Sensing, Guangzhou University, Guangzhou, China.
Shixiong HeInstitute of Economics, Shanghai Academy of Social Sciences, Shanghai, China.
Lei JiangCenter for Human Geography and Urban Development, School of Geography and Remote Sensing, Guangzhou University, Guangzhou, China.ORCID https://orcid.org/0000-0001-8884-3624

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The spatial equity of kindergarten distribution is a critical concern for China's educational policy. This study investigates the socioeconomic determinants underlying the spatial stratification of kindergartens across 323 Chinese cities. Utilizing a spatial stratified heterogeneity framework, we employed web-crawling techniques to gather kindergarten location data and applied Geographical Detector (GD) analysis complemented by Pearson correlation and Grey relational degree methods to quantify the influence and interactions of key factors. Our principal results indicate that: (1) The distribution of kindergartens is highly aggregated in affluent eastern coastal regions, but this pattern becomes more scattered when normalized per capita, revealing disparities in access. (2) Economic capacity (per capita income) and educational attainment (average years of education) are the two most powerful single factors (q-statistics of 0.351 and 0.343, respectively) explaining the spatial distribution. (3) Critically, interaction effects between factors-particularly between income and marriageable population or education levels-are shown to be non-linearly enhanced, meaning their combined effect is stronger than the sum of their individual parts. This study's main contribution is a robust, methodologically novel empirical analysis that moves beyond linear assumptions to identify the synergistic drivers of kindergarten distribution. We conclude that policy makers must prioritize interventional strategies that simultaneously address economic and educational development to effectively reduce spatial inequities in preschool education access. Moreover, regional economic support policies or targeted public investment in kindergartens could bridge the gaps between urban and rural areas and promote more equitable access to preschool education.

Indexed as

SchoolsChild, PreschoolChinaCitiesHumansSocioeconomic FactorsSpatial Analysis

Identifiers

PMID41575931
PMCPMC12829817

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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.