Evidence map›Paper›PMID 36057703›Full record

ArticleEnvironmental science and pollution research international2023

Impact and mechanism of digital economy on China's carbon emissions: from the perspective of spatial heterogeneity.

Haijing Yu, Qin Zhu

Abstract read
In one paragraph

Article in Environmental science and pollution research international, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Digital Economy and Environmental Quality: Insights from the Spatial Durbin Model.International journal of environmental research and public health · 2022
    Article
  5. Article
  6. Article
  7. Article
  8. 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

2 authors.

Haijing YuResearch Institute of Quantitative Economics, Zhejiang Gongshang University, Hangzhou, China.
Qin ZhuSchool of Economics, Zhejiang Gongshang University, Hangzhou, China. zhuqin1220@sina.com.ORCID http://orcid.org/0000-0002-8214-2568

Funding

National Social Science Fund of China 21BJY054
6 · The paper itself

Abstract

Using panel data from 30 provinces and cities in China over the period 2013-2019, we intend to explore the mechanism and regional heterogeneity of the influence of digital economy development on carbon emissions. Specifically, this relationship is analyzed by including the geographical variable coefficient model into the chain mediation effect model, taking spatial correlation and heterogeneity into account. The results indicate that the digital economy decreases carbon emissions by enhancing energy intensity, but raises carbon emissions by fostering economic expansion, making digital economy a net contribution to carbon emissions. Moreover, the effect of the digital economy on carbon emissions varies by geographic location. For instance, the total impact is the greatest in northern China, followed by the southwest and southeast, and relatively minor in the northwest and south. Our findings contribute to the existing research and offer policymakers with a theoretical reference, allowing them to customize carbon reduction plans to local conditions.

Indexed as

CarbonCarbon DioxideChinaCitiesEconomic DevelopmentCarbonCarbon DioxideChain mediation effectCO2Digital economyMGWPR-SDM modelSpatial heterogeneity

Identifiers

PMID36057703
PMCPMC9440744

What OpenQuestion holds

Textmetadata
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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.