Evidence map›Paper›PMID 36142101›Full record

ArticleInternational journal of environmental research and public health2022

Has the Digital Economy Reduced Carbon Emissions?: Analysis Based on Panel Data of 278 Cities in China.

Zhuoxi Yu, Shan Liu, Zhichuan Zhu

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 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. How Do R&D and Renewable Energy Consumption Lead to Carbon Neutrality? Evidence from G-7 Economies.International journal of environmental research and public health · 2023
    Article
  6. Digitalization, Electricity Consumption and Carbon Emissions-Evidence from Manufacturing Industries in China.International journal of environmental research and public health · 2023
    Article
  7. Impact of Internet Development on Carbon Emissions in Jiangsu, China.International journal of environmental research and public health · 2022
    Article
  8. How Big Data Affect Urban Low-Carbon Transformation-A Quasi-Natural Experiment from China.International journal of environmental research and public health · 2022
    Article
  9. Article
  10. 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.

Zhuoxi YuSchool of Mathematics and Statistics, Liaoning University, Shenyang 110031, China.
Shan LiuSchool of Economics, Liaoning University, Shenyang 110136, China.
Zhichuan ZhuSchool of Mathematics and Statistics, Liaoning University, Shenyang 110031, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

China is undergoing an urbanization process at an unprecedented scale, and low-carbon urban development is of great significance to the completion of the "dual carbon goals". At the same time, the digital economy has become an important engine for urban development, and its role in environmental improvement has become increasingly prominent. While the digital economy is booming, can it promote the low-carbon development of cities? Based on the panel data of 278 cities in China from 2011 to 2019, this paper discusses the impact of the digital economy on carbon emissions and the long-term development trend between the digital economy and carbon emissions, the impact of differences in the development level of the digital economy on carbon emissions reduction, and the impact of green energy efficiency in the relationship between the digital economy and carbon emissions. The results show that the digital economy has a significant inhibitory effect on carbon emissions, and with the development of the digital economy, more and more cities show an absolute decoupling of the digital economy and carbon emissions and are turning to low-carbon development. The development level of the digital economy has a heterogeneous impact on carbon emissions. With the improvement of the development level of the digital economy, the effect on emission reduction is more significant. As a threshold variable, green energy efficiency affects the relationship between digital economy and carbon emissions. When green energy efficiency is low, the digital economy promotes carbon emissions, and when green energy efficiency is high, the digital economy reduces carbon emissions.

Indexed as

CarbonCarbon DioxideChinaCitiesEconomic DevelopmentCarbonCarbon Dioxidecarbon emissiondecoupling effectdigital economygreen energy efficiencyinteraction effectthreshold model

Identifiers

PMID36142101
PMCPMC9517216

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.