School of Management, Xi'an University of Architecture and Technology, Xi'an, 710055, China.
School of Construction Equipment Science and Engineering, Xi'an University of Architecture and Technology, Xi'an, 710055, China.
Environ Sci Pollut Res Int. 2021 May;28(17):21145-21158. doi: 10.1007/s11356-020-11882-x. Epub 2021 Jan 6.
Mount of embodied carbon emissions flow along industrial chains and form a complex network. In order to reveal the structure and evolution characteristics of embodied carbon emission flow network among China's industrial sectors, this study applies a complex network theory to construct six embodied carbon emission flow networks with 30 sectors on the basis of China's input-output tables from 2002 to 2015. Through the analysis of complex network technology indicators, the overall structural characteristics of the network, the key sectors, and the key flow paths are analyzed. Main results show that six embodied carbon emission flow networks all have the small-world characteristics; there is an industrial cluster phenomenon in the network. During the study period, construction, manufacturing, and service-related industry community are the absorption sites for embodied carbon emissions. Coal- and petroleum-related industry communities are the divergent sites for embodied carbon emissions; moreover, electric and heat power and fuel processing are the important "suppliers" of embodied carbon emissions; construction and other service are the important "consumers" of embodied carbon emissions. Non-metallic products are the important "transmitters" of embodied carbon emissions. Metal smelting and chemical industry are at the core of the network because of their high weighted degree and betweenness centrality. The central effect of key sectors continues to increase over time; furthermore, the distribution of embodied carbon emission flows in the six networks all have long-tail characteristics, and this characteristic became more prominent over time. There are key edge-weights in the networks. About 11 to 15% of the edges carry 80% of the embodied carbon emissions. Further based on edge-weight analysis, this study identifies the key paths of embodied carbon emission flow in the six networks, and most key paths pass through construction. Thus, such key sectors and key flow paths should receive more attention when making carbon emission reduction policies.
碳排放足迹沿着产业链流动，形成了一个复杂的网络。为了揭示中国工业部门之间的碳排放足迹流动网络的结构和演化特征，本研究应用复杂网络理论，基于中国 2002-2015 年的投入产出表，构建了 6 个包含 30 个部门的碳排放足迹流动网络。通过复杂网络技术指标分析，研究了网络的整体结构特征、关键部门和关键流动路径。主要结果表明，6 个碳排放足迹流动网络均具有小世界特征；网络中存在产业集聚现象。在研究期间，建筑、制造和服务业相关产业社区是碳排放足迹的吸收地；煤炭和石油相关产业社区是碳排放足迹的发散地；此外，电力、热力和燃料加工业是碳排放足迹的重要“供应者”；建筑和其他服务业是碳排放足迹的重要“消费者”；非金属制品是碳排放足迹的重要“传递者”。金属冶炼和化学工业由于其较高的权重和中间中心度，处于网络的核心位置。关键部门的中心作用随着时间的推移不断增强；此外，6 个网络中碳排放足迹的分布均具有长尾特征，且这种特征随着时间的推移越来越明显。网络中存在关键边权重。大约 11%至 15%的边承载着 80%的碳排放足迹。进一步基于边权重分析，本研究确定了 6 个网络中碳排放足迹流动的关键路径，并且大多数关键路径都经过建筑行业。因此，在制定减排政策时，应更加关注这些关键部门和关键流动路径。
