Evidence map›Paper›PMID 41027971›Full record

ArticleScientific reports2025

Effect and mechanism of digital infrastructure impacts the urban synergistic reduction of pollutant and carbon emissions.

Yulin Ma, Dengke Dong, Yunpeng Ma, Fengyun Zhang

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. 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

4 authors.

Yulin MaSchool of Statistics and Mathematics, Shandong University of Finance and Economics, Jinan, 250002, China.
Dengke DongSchool of Statistics and Mathematics, Shandong University of Finance and Economics, Jinan, 250002, China. ddk2297820536@163.com.
Yunpeng MaSchool of Statistics and Mathematics, Shandong University of Finance and Economics, Jinan, 250002, China.
Fengyun ZhangSchool of Statistics and Mathematics, Shandong University of Finance and Economics, Jinan, 250002, China.

Funding

National Natural Science Foundation of China 23CSH046
6 · The paper itself

Abstract

The coordinated control of environmental pollutant and carbon emissions is a necessary condition for green growth. The digital economy has emerged as a major engine of sustainable and high-quality development. However, the effect of digital infrastructure (DI) on the synergistic reduction of pollutant and carbon emissions (SRPCE) is not clear. This study employes a two-way fixed effect model and Spatial Durbin Model to infer the impact of DI on SRPCE, and further propose the mechanisms behind these effects. The analyses were based on data from the 2011 to 2020 and 283 prefecture-level cities in China. Results show that: (1) DI has a significant promoting effect on SRPCE by 5.2%. (2) The potential channels of the effects were through improved energy efficiency, promoted industrial structure upgrading, and increased public environmental awareness. (3) There is a phenomenon of "spatial spillover effects", with DI significantly promoting SRPCE in adjacent areas (4) The heterogeneity analysis demonstrates that DI has its greatest positive effect on SRPCE in small and medium-sized cities, resource-based cities, and key environmental protection cities. These findings provide new insights for the government to urgently reinforce policy enforcement to reduce pollution and carbon emissions in the context of digital transformation.

Indexed as

Digital infrastructureMechanism effectsSpatial spillover effectsSynergistic reduction of pollutant and carbon emissions

Identifiers

PMID41027971
PMCPMC12484585

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.