Evidence map›Paper›PMID 40593153›Full record

ArticleScientific reports2025

The effect of green technology innovation on air pollution from a quantity-quality perspective in China's large river basins.

Guangzhi Qi, Zhibao Wang, Chao Teng, Jinli Zhao, Yu Cheng, Chengxin Wang

Abstract read
PubMed Full text at PMC Publisher
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. 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

6 authors.

Guangzhi QiCollege of Geography and Environment, Shandong Normal University, Jinan, China.
Zhibao WangCollege of Geography and Environment, Shandong Normal University, Jinan, China.
Chao TengCollege of Geography and Environment, Shandong Normal University, Jinan, China.
Jinli ZhaoCollege of Geography and Environment, Shandong Normal University, Jinan, China.
Yu ChengCollege of Geography and Environment, Shandong Normal University, Jinan, China. 614058@sdnu.edu.cn.
Chengxin WangCollege of Geography and Environment, Shandong Normal University, Jinan, China. 110105@sdnu.edu.cn.

Funding

National Natural Science Foundation of China 42101163the Major Project of Key Research Bases for Humanities and Social Sciences Funded by the Ministry of Education of China 22JJD790015
6 · The paper itself

Abstract

Green technology innovation (GTI) plays a crucial role in promoting regional sustainable development, yet its mechanisms for mitigating air pollution remain insufficiently explored. This study investigates the spatio-temporal dynamics and spatial correlations of GTI and air pollution across China's major river basins, with a particular focus on differentiating the roles of GTI quantity and quality. Using the extended STIRPAT and spatial Durbin models, we examine nonlinear relationships, basin-specific heterogeneity, and spatial spillover effects. Results show that GTI quantity followed a core-periphery diffusion pattern, while GTI quality exhibited fluctuating trends with recent stabilization. An inverted "U" shaped relationship was observed between both GTI dimensions and PM

Indexed as

Air pollutionDifferential effectsGreen technology innovationSTIRPAT modelYangtze River BasinYellow River Basin

Identifiers

PMID40593153
PMCPMC12215305

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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.