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
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| 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 |
| DOI | 10.1016/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. |
| URL标识 | 查看原文 |
| 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 |
| 推荐引用方式 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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