Evidence map›Paper›PMID 41778135›Full record

ArticleFrontiers in public health2026

Pollution transfer and environmental health implications: network evolution and proximity mechanisms in the Yangtze River Delta, China.

Feng Hu, Huijie Yang, Xiaolong Zhou, Shuang Zhao, Liping Qiu, Shaobin Wei, Xiaoping Wang, Jiahan Hu, Yufeng Chen, Hao Hu and 1 more

Abstract read
In one paragraph

Article in Frontiers in public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 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

11 authors.

Feng Hu *Institute of International Business & Economics Innovation and Governance, Shanghai University of International Business and Economics, Shanghai, China.
Huijie Yang *International Business School, Shanghai University of International Business and Economics, Shanghai, China.
Xiaolong Zhou *School of Law, Shanghai University of International Business and Economics, Shanghai, China.
Shuang Zhao *College of Business Administration, Ningbo University of Finance and Economics, Ningbo, China.
Liping Qiu *CEEC Economic and Trade Cooperation Institute, Ningbo University, Ningbo, China.
Shaobin WeiInstitute of International Business & Economics Innovation and Governance, Shanghai University of International Business and Economics, Shanghai, China.
Xiaoping WangCollege of Business Administration, Ningbo University of Finance and Economics, Ningbo, China.
Jiahan HuCollege of Engineering, University of Perpetual Help System Laguna, Biñan, Laguna, Philippines.
Yufeng ChenSchool of Economics and Management, Zhejiang Normal University, Jinhua, China.
Hao HuSchool of Economics, Shanghai University, Shanghai, China.
Haiyan ZhouGraduate School, Nueva Ecija University of Science and Technology, Cabanatuan, Philippines.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pollution transfer across regions has become an important source of environmental health risks and spatial health inequalities, yet its underlying transfer mechanisms and structural pathways remain insufficiently understood. This study investigates the spatiotemporal evolution of pollution transfer in China's Yangtze River Delta (YRD) from both national and local perspectives. Using off-site environmental penalty data from large-scale enterprises between 2012 and 2023, we construct pollution transfer networks and apply social network analysis and the geographical detector method to identify structural characteristics and multidimensional driving mechanisms. This study addresses three interrelated challenges: identifying pollution transfer relationships from regulatory records, disentangling multidimensional proximity mechanisms and their interaction effects, and assessing whether pollution transfer structurally reinforces environmental health inequality across cities, which are tasks that are methodologically demanding due to the hidden nature of transfer processes and the nonlinearity of proximity effects. The results reveal that the pollution transfer network in the YRD has continuously expanded, exhibiting a pronounced core-periphery structure centered on Shanghai, Hangzhou, Nanjing, and other core cities, with strong internal linkages and outward diffusion at the national scale. Pollution transfer intensity has increased over time and displays significant proximity effects. Multidimensional proximity factors jointly shape pollution transfer, with economic proximity dominating intra-regional transfers, while institutional and technological proximity play a more critical role in extra-regional transfers. Notably, public health proximity exhibits limited independent explanatory power but significantly enhances pollution transfer when interacting with economic and institutional factors, suggesting a structural linkage between pollution redistribution and environmental health inequality. Scientifically, this study advances the understanding of pollution transfer as a networked and interaction-driven process. Practically, the findings provide quantitative support for regional collaborative governance and integrated environmental and health management in the YRD.

Indexed as

Environmental HealthEnvironmental PollutionRiversChinaEnvironmental MonitoringHumansenvironmental health riskGeodetectorpollution transferproximity mechanismspublic health proximitysocial network analysisYangtze River Delta

Identifiers

PMID41778135
PMCPMC12950677

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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.