Evidence map›Paper›PMID 41606096›Full record

ArticleScientific reports2026

Manufacturing green transformation improves public health in China.

Xin Li, Yahui Deng

Abstract read
In one paragraph

Article in Scientific reports, 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

2 authors.

Xin LiParty School of the CPC Taizhou Municipal Committee, Taizhou, 225300, China. 912557863@qq.com.
Yahui DengJiangsu University, Zhenjiang, 212013, China.

Funding

National Social Science Fund Project 19BTJ039
6 · The paper itself

Abstract

This study utilizes panel data from 30 provinces in China spanning the period 2012 to 2022 to investigate the impact of manufacturing green transformation on public health. The findings reveal that: (1) Manufacturing greening significantly enhances public health levels and is associated with a notable reduction in population mortality rates. (2) Increased public environmental awareness and industrial structure upgrading serve as the primary mechanisms through which manufacturing greening improves public health. (3) Threshold regression analysis demonstrates that the positive effect of manufacturing green transformation on public health is significant only when the level of digitalization within the manufacturing sector exceeds a critical threshold of 0.343; below this threshold, the impact is statistically insignificant. Based on these findings, this study proposes policy recommendations in four areas: deepening green-digital integration, accelerating industrial restructuring, strengthening public participation, and implementing regionally differentiated policies.

Indexed as

Public HealthChinaHumansManufacturing IndustryManufacturing green transformationMediating effectPublic healthThreshold effect

Identifiers

PMID41606096
PMCPMC12909878

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.