Tele-connection of embodied carbon emissions from industries in China's trade: A complex network analysis

中心性 温室气体 碳纤维 中国 职位(财务) 物流分析 环境科学 业务 自然资源经济学 经济地理学 地理 工程类 经济 生态学 计算机科学 废物管理 组合数学 考古 财务 复合数 生物 数学 算法
作者
Shengfu Yang,Zhiyu Zhu,Wenjie Fu,Shougeng Hu
出处
期刊:Journal of Environmental Management [Elsevier BV]
卷期号:366: 121652-121652 被引量:16
标识
DOI:10.1016/j.jenvman.2024.121652
摘要

Regions can meet their development demands through trade, with the attendant environmental costs being shifted to other regions, and carbon emissions emitted from different industries could be transferred over long distances through the increasingly diversified trade network. However, it remains unclear how regional trade leads to the tele-connection and transfer of embodied carbon emissions form industries, and what is the structure and characteristics of the transfer. Thus, multiregional input‒output models and complex network analysis are employed to reveal the tele-connection of carbon emissions from industries in China. The results show that embodied carbon emissions from trade increased by 869.47 million tons during in five years, with North China being the largest outflow area, while the coastal regions being the inflow areas. Moreover, the secondary industry is the highest source of embodied carbon emissions, accounting for 96.68 % of the volume, and the transfer of carbon emissions mainly occurs in North and East China. In carbon emissions networks, North China holds a controlling position, as analysed by degree and strength. The first 23.3%-30% of nodes carry about 62.6%-72.4% of the entire carbon emissions flow, and the network conforms to scale-free features. Centrality further reveals that northern and coastal areas occupy core positions, with interregional carbon flows dominating the critical pathways in the network. The number of clusters evolved from three to four communities during 2012-2017 in the network, demonstrating that the carbon flow network is developing towards multipolarity and modularity. This study underscores the urgency of mitigating carbon emissions in industrial trade by identifying key nodes and cluster structures in emission networks.
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