Evidence map›Paper›PMID 41492390›Full record

ArticleiScience2025

How digital technology spillover leverages carbon transfers in multiple sectors.

Xiaohui Yang, Lianbiao Cui, Xiuyue Yuan, Qianjin Li

Abstract read
In one paragraph

Article in iScience, 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.

Xiaohui YangSchool of Management, Shijiazhuang Tiedao University, Shijiazhuang, China.
Lianbiao CuiSchool of Statistics and Applied Mathematics, Anhui University of Finance and Economics, Bengbu, China.
Xiuyue YuanDepartment of Economics and Management, Hebei Chemical & Pharmaceutical College, Shijiazhuang, China.
Qianjin LiSchool of Management, Shijiazhuang Tiedao University, Shijiazhuang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The concurrent acceleration of digitalization and urgent carbon reduction goals makes it critical to understand the spatial relationship between digital technology spillover and cross-regional carbon transfers. To this end, we investigate how interprovincial digital technology spillovers affect carbon transfers across China's economic sectors. Using a multi-regional input-output model for 31 Chinese provinces, we identify strong spatial correlations between sectoral carbon transfers and regional digital technology spillovers. We find that this relationship hinges on eco-friendly product development, market-aligned innovation, and sector-wide industrial transformations within their respective sectors. These findings provide policymakers with actionable, sector-specific insights for harnessing digitalization to mitigate carbon emissions, thereby advancing sustainable development and the pursuit of carbon equity.

Indexed as

EconomicsEnergy policyEnergy systems

Identifiers

PMID41492390
PMCPMC12765448

What OpenQuestion holds

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LicenceCC BY-NC
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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.