Evidence map›Paper›PMID 41266417›Full record

ArticleScientific reports2025

Digital innovation and green productivity gap.

Yarong Sun, Lijun Hu, Fang He, Lei Chen

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

4 authors.

Yarong SunSchool of Business Administration, Zhongnan University of Economics and Law, Wuhan, China.
Lijun HuSchool of Business Administration, Zhongnan University of Economics and Law, Wuhan, China.
Fang HeSchool of Business Administration, Wuhan Business University, Wuhan, China.
Lei ChenSchool of Business Administration, Zhongnan University of Economics and Law, Wuhan, China. zuefchenlei@163.com.

Funding

The China Postdoctoral Science Foundation 2025M773658The Fundamental Research Funds for the Central Universities 202411002
6 · The paper itself

Abstract

Despite rapid progress in green innovation, the limited conversion of technological achievements into productivity gains has resulted in a persistent green productivity gap. this study investigates how digital innovation contributes to narrowing this gap by promoting the effective transformation of green innovation into sustainable economic performance. Based on panel data for 287 Chinese cities from 2009 to 2022, this study explores the mechanisms, moderating factors, and regional variations that shape this relationship. Empirical evidence demonstrates that digital innovation significantly reduces the green productivity gap by improving energy efficiency, optimizing industrial structures, and strengthening environmental regulation. The impact is stronger in inland regions, smaller cities, and central China. Furthermore, private ownership structures and targeted R&D investments further amplify the effect of digital innovation. Policy implications emphasize region-specific strategies for digital-green integration and sustainable productivity transformation.

Indexed as

Digital-green integrationDigital innovationGreen productivity gapGreen total factor productivity

Identifiers

PMID41266417
PMCPMC12635211

What OpenQuestion holds

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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.