Evidence map›Paper›PMID 39870757›Full record

ArticleScientific reports2025

Research on the impact of the digital economy on carbon emissions based on the dual perspectives of carbon emission reduction and carbon efficiency.

Xin Liu, Liang Chen, Yifu Lu, Ming Chang, Yi Xiao, Haonan Yang, Deyuan Kong, Lili Zhang

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Xin LiuSchool of Finance and Accounting, Chengdu Jincheng College, Chengdu, 610097, Sichuan, China.
Liang ChenSchool of Finance and Accounting, Chengdu Jincheng College, Chengdu, 610097, Sichuan, China. chenliang@scujcc.edu.cn.
Yifu LuCollege of Business and Economics, Australian Capital Territory , Australian National University, Canberra, 2600, Australia. yifu_lu_anu@163.com.
Ming ChangState Key Laboratory of GeoHazard Prevention and GeoEnvironment Protection, Chengdu University of Technology, Chengdu, 610059, Sichuan, China.
Yi XiaoCollege of Business, Chengdu University of Technology, Chengdu, 610097, Sichuan, China.
Haonan YangCollege of Business, Chengdu University of Technology, Chengdu, 610097, Sichuan, China.
Deyuan KongCollege of Business, Southwest Jiaotong University Hope College, Chengdu, 610400, Sichuan, China.
Lili ZhangSchool of Finance and Accounting, Chengdu Jincheng College, Chengdu, 610097, Sichuan, China.

Funding

National Natural Science Foundation of China 42477173Natural Science Foundation of Sichuan Province,China 2024NSFSC0071
6 · The paper itself

Abstract

China's digital economy is currently thriving, with the "dual carbon" targets representing a significant pursuit of economic development. The role of the digital economy in achieving these targets warrants detailed discussion. Using urban panel data from China spanning 2011 to 2021, this paper empirically examines the impact of the digital economy on urban carbon emissions. The findings reveal several key points: Firstly, the digital economy significantly reduces urban carbon emissions and enhances efficiency, a conclusion that remains valid after a series of robustness checks. Secondly, there is a notable structural effect, with different dimensions of the digital economy exhibiting varying impacts on urban emission reduction and efficiency enhancement. Thirdly, green economic efficiency and green technological innovation are crucial mechanisms through which the digital economy facilitates urban carbon emission reduction and efficiency improvement, operating through green development and innovation channels. Fourthly, industrial structure upgrading is a key nonlinear factor reducing the digital economy's impact on carbon reduction, while the digital economy's effect on urban carbon efficiency shows a U-shaped pattern. Lastly, the impact of the digital economy on urban carbon emissions displays significant heterogeneity across cities of different locations, tiers, and characteristics.

Indexed as

Carbon Efficiency EnhancementCarbon Emission reductionCarbon emissionsDigital Economy

Identifiers

PMID39870757
PMCPMC11772750

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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.