数字产业对中国碳排放的影响:投入产出与结构分解分析

Yuke Li , Jing Wu , Xiaodong Pei , Qianting Zhu
{"title":"数字产业对中国碳排放的影响:投入产出与结构分解分析","authors":"Yuke Li ,&nbsp;Jing Wu ,&nbsp;Xiaodong Pei ,&nbsp;Qianting Zhu","doi":"10.1016/j.wds.2025.100208","DOIUrl":null,"url":null,"abstract":"<div><div>The effect of digital industries (DI) on carbon emissions has drawn significant attention, however, comprehensive consideration of regional heterogeneity, industry variability, and direct and indirect impacts is still lacking in existing studies. This study uses the Input-Output method and Structural Decomposition Analysis models to measure the structural effects of DI on carbon emissions in China from 2007 to 2017, through a dual perspective of “region-industry”. The results show that: (1) embodied carbon emissions of DI show an upward trend, and the indirect carbon emissions are much higher than the direct carbon emissions; (2) the structural effects of DI contribute to a total reduction of -45.68 Mt in China's carbon emissions, but the structural effects of DI on embodied carbon emissions show significant regional heterogeneity, and the carbon emissions in Jiangsu, Shanghai, Hubei, and other provinces have obvious changes; (3) the structural effects of DI primarily affect carbon emissions in the industrial and service sectors, in the early stage, the structural effects of DI led to an increase in the carbon emissions of the industrial sectors and a decrease in the service sectors, however, in recent years, the trend reversed; (4) based on the development level of DI and the structural effects of DI on carbon emissions in each industry, 30 provinces, autonomous regions, and municipalities in China can be classified into five categories, and tailored emission reduction strategies should be implemented in different provinces. The above findings provide scientific references for exploring how regions can synergize carbon reduction while promoting the digital economy from the perspective of industry sectors.</div></div>","PeriodicalId":101285,"journal":{"name":"World Development Sustainability","volume":"6 ","pages":"Article 100208"},"PeriodicalIF":0.0000,"publicationDate":"2025-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The impact of digital industries on carbon emission in China: Input-output and structural decomposition analysis\",\"authors\":\"Yuke Li ,&nbsp;Jing Wu ,&nbsp;Xiaodong Pei ,&nbsp;Qianting Zhu\",\"doi\":\"10.1016/j.wds.2025.100208\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>The effect of digital industries (DI) on carbon emissions has drawn significant attention, however, comprehensive consideration of regional heterogeneity, industry variability, and direct and indirect impacts is still lacking in existing studies. This study uses the Input-Output method and Structural Decomposition Analysis models to measure the structural effects of DI on carbon emissions in China from 2007 to 2017, through a dual perspective of “region-industry”. The results show that: (1) embodied carbon emissions of DI show an upward trend, and the indirect carbon emissions are much higher than the direct carbon emissions; (2) the structural effects of DI contribute to a total reduction of -45.68 Mt in China's carbon emissions, but the structural effects of DI on embodied carbon emissions show significant regional heterogeneity, and the carbon emissions in Jiangsu, Shanghai, Hubei, and other provinces have obvious changes; (3) the structural effects of DI primarily affect carbon emissions in the industrial and service sectors, in the early stage, the structural effects of DI led to an increase in the carbon emissions of the industrial sectors and a decrease in the service sectors, however, in recent years, the trend reversed; (4) based on the development level of DI and the structural effects of DI on carbon emissions in each industry, 30 provinces, autonomous regions, and municipalities in China can be classified into five categories, and tailored emission reduction strategies should be implemented in different provinces. The above findings provide scientific references for exploring how regions can synergize carbon reduction while promoting the digital economy from the perspective of industry sectors.</div></div>\",\"PeriodicalId\":101285,\"journal\":{\"name\":\"World Development Sustainability\",\"volume\":\"6 \",\"pages\":\"Article 100208\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2025-02-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"World Development Sustainability\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2772655X25000072\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"World Development Sustainability","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2772655X25000072","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

数字产业对碳排放的影响已引起广泛关注,但现有研究缺乏对区域异质性、行业变异性、直接影响和间接影响的综合考虑。本研究采用投入产出法和结构分解分析模型,通过“区域-产业”的双重视角,对2007 - 2017年中国fdi对碳排放的结构性影响进行测度。结果表明:(1)DI隐含碳排放量呈上升趋势,且间接碳排放量远高于直接碳排放量;(2) DI对中国碳排放总量减少的结构性影响为- 4568 Mt,但DI对隐含碳排放的结构性影响呈现显著的区域异质性,江苏、上海、湖北等省区碳排放变化明显;(3)直接投资的结构效应主要影响工业和服务业的碳排放,在早期,直接投资的结构效应导致工业部门的碳排放增加,服务业的碳排放减少,但近年来趋势逆转;(4)根据工业直接投资的发展水平和工业直接投资对各行业碳排放的结构性影响,将中国30个省(区、市)划分为5类,并针对不同省份实施相应的减排策略。以上研究结果为从产业部门角度探索区域在促进数字经济的同时如何协同碳减排提供了科学参考。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The impact of digital industries on carbon emission in China: Input-output and structural decomposition analysis
The effect of digital industries (DI) on carbon emissions has drawn significant attention, however, comprehensive consideration of regional heterogeneity, industry variability, and direct and indirect impacts is still lacking in existing studies. This study uses the Input-Output method and Structural Decomposition Analysis models to measure the structural effects of DI on carbon emissions in China from 2007 to 2017, through a dual perspective of “region-industry”. The results show that: (1) embodied carbon emissions of DI show an upward trend, and the indirect carbon emissions are much higher than the direct carbon emissions; (2) the structural effects of DI contribute to a total reduction of -45.68 Mt in China's carbon emissions, but the structural effects of DI on embodied carbon emissions show significant regional heterogeneity, and the carbon emissions in Jiangsu, Shanghai, Hubei, and other provinces have obvious changes; (3) the structural effects of DI primarily affect carbon emissions in the industrial and service sectors, in the early stage, the structural effects of DI led to an increase in the carbon emissions of the industrial sectors and a decrease in the service sectors, however, in recent years, the trend reversed; (4) based on the development level of DI and the structural effects of DI on carbon emissions in each industry, 30 provinces, autonomous regions, and municipalities in China can be classified into five categories, and tailored emission reduction strategies should be implemented in different provinces. The above findings provide scientific references for exploring how regions can synergize carbon reduction while promoting the digital economy from the perspective of industry sectors.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信