Evidence map›Paper›PMID 36767545›Full record

ArticleInternational journal of environmental research and public health2023

Impact of Digital Transformation on Enterprise Carbon Intensity: The Moderating Role of Digital Information Resources.

Guoge Yang, Fengyi Wang, Feng Deng, Xianhong Xiang

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

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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.

Guoge YangXinjiang Innovation Management Research Center, Xinjiang University, Urumqi 830046, China.ORCID 0000-0002-7781-8244
Fengyi WangXinjiang Innovation Management Research Center, Xinjiang University, Urumqi 830046, China.
Feng DengXinjiang Innovation Management Research Center, Xinjiang University, Urumqi 830046, China.
Xianhong XiangXinjiang Innovation Management Research Center, Xinjiang University, Urumqi 830046, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the context of China's "digital power" strategy, the realization of a green and low-carbon shift in manufacturing has become a necessary condition to promote the economy, and the digital factor has increasingly become a new driving force. The text mining and IPCC methods were used to measure manufacturing enterprise digitalization and the level of enterprise carbon emission intensity from 2011 to 2021, respectively. This study then explored the impact of digitalization on manufacturing enterprise carbon emission intensity based on the least squares method model and instrumental variable method model. This research comes to three conclusions. (1) Digitalization can significantly reduce the enterprise carbon emission intensity of China's manufacturing industry, and the influence shows a "marginal increase." (2) Notably, a mechanism analysis indicates the intermediary effect sizes of four crucial intermediaries: green technology innovation > financing constraint > information asymmetry > energy use efficiency. Interestingly, digital information resources positively moderate the positive effect of digitalization on carbon emission intensity through three paths: financing constraints, green technology innovation, and information asymmetry. (3) The influence shows evident signs of heterogeneity-as environmental regulation, financial development, executive education, and R&D quality advance, the inhibiting effect of digitalization on enterprise carbon emission intensity becomes more pronounced. Finally, corresponding policy suggestions are proposed.

Indexed as

CarbonCommerceChinaData MiningEconomic DevelopmentEducational StatusIndustryCarboncarbon emission intensitydigital information resourcesdigital transformationfinancing constraintsgreen innovationinformation asymmetry

Identifiers

PMID36767545
PMCPMC9915449

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.