Evidence map›Paper›PMID 36833868›Full record

ArticleInternational journal of environmental research and public health2023

The Effect of Input Digitalization on Carbon Emission Intensity: An Empirical Analysis Based on China's Manufacturing.

Luyang Tang, Bangke Lu, Tianhai Tian

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 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

3 authors.

Luyang TangSchool of Business Administration, Zhongnan University of Economics and Law, Wuhan 430073, China.ORCID 0000-0003-0816-3077
Bangke LuSchool of Statistics and Mathematics, Zhongnan University of Economics and Law, Wuhan 430073, China.ORCID 0000-0001-5046-4370
Tianhai TianSchool of Mathematics, Monash University, Melbourne, VIC 3800, Australia.ORCID 0000-0001-6191-0209

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Digitalization is an excellent opportunity for the manufacturing industry all over the world to improve the core competitiveness and break through the "low-end locking" dilemma. However, it is not clear whether the digitalization of the manufacturing industry has positive ecological and environmental benefits under the resource and environmental constraints. To answer this question, we use the data from the world input-output database (WIOD) to investigate the impact of manufacturing input digitalization on carbon emission intensity by an extended analysis. The results show that the input digitalization of the manufacturing industry has mixed effects on reducing carbon emission intensity. The productive input digitalization can reduce carbon emission intensity, but the distributional input digitalization may increase carbon emission intensity. Non-pollution-intensive manufacturing and high-input digital manufacturing have stronger carbon emission reduction effects than the other industry sectors. From the perspective of input sources, input digitalization from domestic sources has a significant inhibitory effect on the carbon emission intensity. In contrast, input digitalization from foreign sources may increase carbon emission intensity.

Indexed as

CarbonCommerceCarbon DioxideChinaEconomic DevelopmentIndustryManufacturing IndustryCarbonCarbon Dioxidecarbon emission intensityenvironmental benefitinput digitalizationmanufacturing industry

Identifiers

PMID36833868
PMCPMC9962808

What OpenQuestion holds

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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.