具身认知
温室气体
业务
碳纤维
环境资源管理
环境科学
计算机科学
生态学
人工智能
算法
生物
复合数
作者
Guochang Fang,Meng Huang,Wenbin Zhang,Lixin Tian
标识
DOI:10.1016/j.techfore.2024.123284
摘要
This paper explores the global embodied carbon emissions transfer network. To clarify the carbon emissions reduction responsibilities of each country globally, a complex interdependent network structure based on the 2016 World Multi-Regional Input-Output (MRIO) table and the transfer of production factors between industries is constructed. Using input-output and social network analyses, the structural features of the global carbon emissions flow network is uncovered, and then carbon inequality among countries from a multi-regional perspective is revealed. The research findings show that the scale of global embodied carbon transfer expands continuously. The direction of transfer exhibits asymmetry, regionalism, and complexity. Hungary, Romania, Slovenia, Iran, Ethiopia, and Iran are the main carbon-exporting countries, while the United States, Germany, the United Kingdom, Japan, Canada, Spain are the main carbon-importing countries. Furthermore, the block model analysis reveals that the carbon transfer and transmission effects between global regions tend to be centralized clusters, from "demand-driven" to "internalized supply-demand coexistence". There is significant uneven exchange between wealth benefits and environmental burdens among blocks.
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