Revealing the hidden carbon flows in global industrial Sectors-Based on the perspective of linkage network structure

被引:6
作者
Fang, Guochang [1 ,2 ]
Huang, Meng [2 ]
Sun, Chuanwang [3 ]
机构
[1] Nanjing Univ Finance & Econ, Sch Appl Math, Nanjing 210023, Jiangsu, Peoples R China
[2] Nanjing Univ Finance & Econ, Sch Econ, Nanjing 210023, Jiangsu, Peoples R China
[3] Xiamen Univ, China Ctr Energy Econ Res, Sch Econ, Xiamen 361005, Fujian, Peoples R China
基金
美国国家科学基金会; 中国国家自然科学基金;
关键词
Industrial sectors; Implicit carbon flows; Multi-regional input-output model; Linkage network structure; INPUT-OUTPUT-ANALYSIS; DIOXIDE EMISSIONS; CHINA; TRADE; OPTIMIZATION; MRIO;
D O I
10.1016/j.jenvman.2024.120531
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
This paper interprets the implicit carbon flows in global industrial sectors from a network perspective. Using the SNA-IO integrated model, along with cross-border input-output data from Eora26 (2000-2020) and global energy balance data, the implicit carbon emissions of global industrial sectors and their evolution are analyzed. A carbon emission network structure from an industrial chain perspective is proposed. The results indicate that the carbon emissions responsibility of an industry is not only associated with its own energy consumption. It also involves the carbon emissions transfer resulting from the exchange of products and services between upstream and downstream industries. Block model analysis reveals the carbon emission transfer relationships and their interconnections among global industrial sectors, tending towards an industry clustering pattern where "production side" converges with "demand side" coexisting in supply and demand. There are noticeable inequalities in wealth gains and environmental burdens between these blocks. This paper can provide targeted carbon reduction policy recommendations for various industrial sectors to participate in global responsibility allocation and promote the formation of a low-carbon global industrial sector network.
引用
收藏
页数:12
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