中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Artificial intelligence and global embodied carbon flow: Evidence from the application of industrial robots

文献类型:期刊论文

作者Tang, Zhipeng2,3; Tang, Shujuan1,3; Zou, Jialing4
刊名HABITAT INTERNATIONAL
出版日期2025-11-01
卷号165页码:103560
关键词Trade-embodied carbon Artificial intelligence Technological progress Industrial robots Instrumental variable
ISSN号0197-3975
DOI10.1016/j.habitatint.2025.103560
产权排序2
文献子类Article
英文摘要The rapid advancement of artificial intelligence (AI), exemplified by industrial robots, holds significant potential for reducing global carbon emissions. However, its impact on global trade-embodied carbon flows remains ambiguous. Using instrumental variable methodology, this study empirically examines how industrial robot adoption in developing countries affects embodied carbon exports. The key findings are as follows: First, increased industrial robot usage in developing countries significantly boosts their embodied carbon outflows, with a 1-unit rise in robot adoption leading to an additional 0.262 thousand tons of embodied carbon exports. This effect is particularly pronounced in manufacturing and utilities, amplifying the risk of carbon leakage to other regions. Second, industrial robots disproportionately drive embodied carbon flows among developing nations. From an industry perspective, robot adoption primarily increases carbon outflows in medium-carbon-intensity sectors. Mechanism analysis reveals that these effects stem from three main channels: expanded production and trade scales, higher energy consumption, and reduced reliance on renewable energy. These findings challenge conventional wisdom by highlighting two critical risks: automation may inadvertently create new carbon leakage pathways within the developing world, and technological leapfrogging without complementary energy reforms could exacerbate climate inequities.
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WOS关键词GREEN TECHNOLOGY INNOVATIONS ; INTERNATIONAL-TRADE ; CO2 EMISSIONS ; ENVIRONMENTAL-REGULATION ; TECHNICAL PROGRESS ; RENEWABLE ENERGY ; ECONOMIC-GROWTH ; KUZNETS CURVE ; CHINA ; OUTPUT
WOS研究方向Development Studies ; Environmental Sciences & Ecology ; Public Administration ; Urban Studies
语种英语
WOS记录号WOS:001560781700001
出版者PERGAMON-ELSEVIER SCIENCE LTD
源URL[http://ir.igsnrr.ac.cn/handle/311030/216178]  
专题区域可持续发展分析与模拟院重点实验室_外文论文
通讯作者Zou, Jialing
作者单位1.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China;
2.Beijing Wuzi Univ, Sch Econ, Beijing 101149, Peoples R China;
3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Reg Sustainable Dev Modeling, Beijing 100101, Peoples R China;
4.Guangdong Univ Foreign Studies, Guangdong Inst Int Strategies, Guangzhou 510020, Peoples R China
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GB/T 7714
Tang, Zhipeng,Tang, Shujuan,Zou, Jialing. Artificial intelligence and global embodied carbon flow: Evidence from the application of industrial robots[J]. HABITAT INTERNATIONAL,2025,165:103560.
APA Tang, Zhipeng,Tang, Shujuan,&Zou, Jialing.(2025).Artificial intelligence and global embodied carbon flow: Evidence from the application of industrial robots.HABITAT INTERNATIONAL,165,103560.
MLA Tang, Zhipeng,et al."Artificial intelligence and global embodied carbon flow: Evidence from the application of industrial robots".HABITAT INTERNATIONAL 165(2025):103560.

入库方式: OAI收割

来源:地理科学与资源研究所

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