Evidence map›Paper›PMID 40251239›Full record

ArticleScientific reports2025

The impact of air pollution on the settlement intention of the floating population--Empirical evidence from China.

Dongmei Cao, Xiaofan Xu, Ce Guo, Yujia Liao

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

4 authors.

Dongmei CaoSchool of Public Administration, Southwestern University of Finance and Economics, Chengdu, 611130, Sichuan Province, China.
Xiaofan XuSchool of Public Administration, Southwestern University of Finance and Economics, Chengdu, 611130, Sichuan Province, China.
Ce GuoThe Office of Scientific Research, Zhongnan University of Economics and Law, Wuhan, 430073, Hubei Province, China. guoce@zuel.edu.cn.
Yujia LiaoSchool of Public Administration, Southwestern University of Finance and Economics, Chengdu, 611130, Sichuan Province, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper utilizes 2017 dynamic monitoring data of China's floating population and matches it with air pollution data from 287 prefecture-level cities to construct a Probit model. The study aims to investigate the effects and pathways of air pollution on the settlement intention of floating populations. The research findings are as follows: Firstly, air pollution significantly affects the settlement intention of floating populations, with an increase in air pollution concentration leading to a notable decrease in their intent to reside. Secondly, the impact of air pollution on the settlement intention of floating populations varies based on their personal characteristics and regional features. Those with longer years of residence, higher education levels, and better air quality in their hometowns tend to be more sensitive to air pollution. Thirdly, air pollution reduces the settlement intention of floating populations by affecting their physical health. Further research finds that better healthcare services provided by the government can enhance the willingness of migrant populations to settle in areas with environmental pollution. This study enriches the relevant research on environmental factors' influence on the settlement intention of floating populations, and it provides insights for the government to formulate talent attraction policies from an environmental governance perspective.

Indexed as

Air PollutionTransients and MigrantsAir PollutantsChinaEnvironmental MonitoringHumansIntentionAir PollutantsAir pollutionFloating populationSettlement intention

Identifiers

PMID40251239
PMCPMC12008200

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.