Evidence map›Paper›PMID 36232155›Full record

ArticleInternational journal of environmental research and public health2022

Input Digitization of the Manufacturing Industry and Carbon Emission Intensity Based on Testing the World and Developing Countries.

Hui Fang, Chunyu Jiang, Tufail Hussain, Xiaoye Zhang, Qixin Huo

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Digitalization, Electricity Consumption and Carbon Emissions-Evidence from Manufacturing Industries in China.International journal of environmental research and public health · 2023
    Article
  2. 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

5 authors.

Hui FangSchool of International Trade and Economics, Shandong University of Finance and Economics, Jinan 250014, China.
Chunyu JiangSchool of International Trade and Economics, Shandong University of Finance and Economics, Jinan 250014, China.
Tufail HussainSchool of International Trade and Economics, Shandong University of Finance and Economics, Jinan 250014, China.
Xiaoye ZhangSchool of International Trade and Economics, Shandong University of Finance and Economics, Jinan 250014, China.
Qixin HuoSchool of International Trade and Economics, Shandong University of Finance and Economics, Jinan 250014, China.

Funding

Natural Science Foundation of Shandong Province ZR2021MG033
6 · The paper itself

Abstract

Facing the increasingly deteriorating climate, carbon emission reduction has become a global consensus. In particular, as an industry with very serious pollution emissions, the manufacturing industry is under enormous pressure to reduce environmental consumption. At the same time, against the background of rapid digitization development, the production and organization of the manufacturing industry have greatly changed, which also provides new research ideas for global carbon emission reduction. Based on the panel data of 40 major economies in the world, this paper calculates the degree of input digitization of the manufacturing industry using the input-output method and constructs a triple fixed effect model to analyze the impact of manufacturing's input digitization on its carbon emission intensity from the perspective of the world and developing countries. The research finds that, first, on the global level, input digitization significantly reduces the carbon emission intensity of manufacturing, and the effect of carbon reduction increases gradually over time, with a noticeable industry spillover effect. Second, the test results from developing countries show that the relationship between digital input from developed countries and manufacturing's carbon intensity in developing countries presents an inverted U shape. Third, heterogeneity analysis shows that digital input has the most obvious effect on carbon reduction in the pollution-intensive manufacturing sector. Tracking the sources of digital input, it is found that digital input from high-tech economies has the most obvious effect on carbon reduction. The paper takes the lead in clarifying the impact of digitization on carbon emissions from the manufacturing sector, expands the existing research on the digital economy and the environment, and also makes a theoretical contribution to global carbon emission reduction.

Indexed as

CarbonDeveloping CountriesCarbon DioxideChinaEconomic DevelopmentEnvironmental PollutionIndustryManufacturing IndustryCarbonCarbon Dioxidecarbon emissiondigital economyinput digitizationmanufacturing

Identifiers

PMID36232155
PMCPMC9565140

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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.