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数字贸易对46个国家降低碳排放的影响。

Impact of the digital trade on lowering carbon emissions in 46 countries.

作者信息

Li Xiuxiang, Hu Yan, Ding Liang, Huang Qiyu, Jiang Yi

机构信息

School of International Economics and Politics, Jiangxi University of Finance and Economics, Nanchang, 330013, China.

Applied Economic Research Center, Jiangxi Institute of Fashion Technology, Nanchang, 330201, China.

出版信息

Sci Rep. 2024 Oct 29;14(1):25957. doi: 10.1038/s41598-024-76586-5.

DOI:10.1038/s41598-024-76586-5
PMID:39472659
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11522511/
Abstract

Digital trade, as one of the vanguards of the global technological revolution and industrial transformation, empowers low-carbon economic cooperation on a global scale. This study based on panel data from 2007 to 2021 of 46 countries with varied development levels, constructed a multi-dimensional indicator system from six aspects: trade potential, digital infrastructure, digital innovation, digital skills and security, scale of digital trade, and digital trade environment, aim to measure the development level of digital trade and explore its impact on carbon emissions, followed by a heterogeneity analysis. The research results indicate that there are significant differences in the development levels of digital trade among countries with different economic strengths. Countries with stronger economic power and larger trade scales have a higher level of digital trade development, while less developed regions lag in digital trade. As the level of digital trade development increases, the impact of digital trade on carbon emissions will also change. Overall, digital trade exhibits a pronounced low-carbon effect, while its impact varies among countries with different development levels.

摘要

数字贸易作为全球技术革命和产业变革的先锋之一,推动了全球范围内的低碳经济合作。本研究基于2007年至2021年46个不同发展水平国家的面板数据,从贸易潜力、数字基础设施、数字创新、数字技能与安全、数字贸易规模以及数字贸易环境六个方面构建了多维指标体系,旨在衡量数字贸易发展水平并探究其对碳排放的影响,随后进行了异质性分析。研究结果表明,不同经济实力国家的数字贸易发展水平存在显著差异。经济实力较强、贸易规模较大的国家数字贸易发展水平较高,而欠发达地区在数字贸易方面滞后。随着数字贸易发展水平的提高,数字贸易对碳排放的影响也会发生变化。总体而言,数字贸易呈现出显著的低碳效应,但其影响在不同发展水平的国家之间存在差异。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/11d7/11522511/a69ee8468407/41598_2024_76586_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/11d7/11522511/a69ee8468407/41598_2024_76586_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/11d7/11522511/a69ee8468407/41598_2024_76586_Fig1_HTML.jpg

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本文引用的文献

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2
Digital inclusive finance, green technological innovation, and carbon emissions from a spatial perspective.空间视角下的数字普惠金融、绿色技术创新与碳排放
Sci Rep. 2024 Apr 11;14(1):8454. doi: 10.1038/s41598-024-59081-9.
3
Determinants and their spatial heterogeneity of carbon emissions in resource-based cities, China.
中国资源型城市碳排放的影响因素及其空间异质性
Sci Rep. 2024 Mar 11;14(1):5894. doi: 10.1038/s41598-024-56434-2.
4
How does the digital service trade nonlinearly affect carbon emissions? Empirical evidence from G20 countries.数字服务贸易如何非线性地影响碳排放?来自二十国集团国家的实证证据。
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5
Impact of digital trade on regional carbon emissions.数字贸易对区域碳排放的影响。
Environ Sci Pollut Res Int. 2023 Oct;30(48):105474-105488. doi: 10.1007/s11356-023-29858-y. Epub 2023 Sep 16.
6
Transportation carbon emission reduction potential and mitigation strategy in China.中国交通运输领域碳减排潜力与减排策略。
Sci Total Environ. 2023 May 15;873:162074. doi: 10.1016/j.scitotenv.2023.162074. Epub 2023 Feb 8.
7
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Sci Rep. 2023 Jan 5;13(1):254. doi: 10.1038/s41598-023-27442-5.
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