Evidence map›Paper›PMID 40447671›Full record

ArticleScientific reports2025

Mechanism and spatial spillover effect of the digital economy on carbon emission efficiency in Chinese provinces.

Yifen Xia, Yuanzhuo Wu, Yilin Qin, Chun Fu

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.

Yifen XiaSchool of Public Policy and Administration, Nanchang University, Nanchang, 330000, Jiangxi, China.
Yuanzhuo WuSchool of Public Policy and Administration, Nanchang University, Nanchang, 330000, Jiangxi, China. 17807065007@163.com.
Yilin QinSchool of Public Policy and Administration, Nanchang University, Nanchang, 330000, Jiangxi, China.
Chun FuSchool of Public Policy and Administration, Nanchang University, Nanchang, 330000, Jiangxi, China.

Funding

Social Science Planning Project of Jiangxi Province No. 22GL39
6 · The paper itself

Abstract

Carbon emission efficiency is vital for environmental performance, and the digital economy, as an emerging force, plays a critical role in enhancing carbon emission efficiency. This study employed panel data from 30 Chinese provinces (2010-2020) to measure the digital economy index and carbon emission efficiency through Principal Component Analysis and the Super-Efficiency SBM model. A double fixed effects model was applied for regression, followed by robustness tests, heterogeneity analysis, and an investigation into the mechanisms and spatial spillover effects. Five findings are elicited: (1) Spatiotemporal distribution differences exist between digital economy level and carbon emission efficiency. (2) The digital economy effectively enhances carbon emission efficiency, a result that remains robust after endogenous and robustness tests. (3) Significant spatial spillover effects are observed, where improvements in the digital economy enhance carbon emission efficiency in neighboring areas. (4) The impact of the digital economy is more pronounced in eastern and high digital development regions but weaker in the northeastern and low digital development areas. (5) The main pathways through which the digital economy influences carbon emission efficiency are industrial structure upgrading, energy structure optimization, and green technological innovation. These findings extend the environmental benefits of the digital economy, providing insights for achieving the dual carbon goals.

Indexed as

Carbon emission efficiencyDigital economySpatial spillover effect

Identifiers

PMID40447671
PMCPMC12125229

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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.