The spatial characteristics of embodied carbon emission flow in Chinese provinces: a network-based perspective

Abstract

Combining the multi-regional input-output model with complex network technology, based on the provincial scale, this paper systematically describes the characteristics of the spatial network flow and its changing track of embodied carbon emissions among provinces in China from three dimensions of network structure, flow distribution characteristics, and spatial flow characteristics. Furthermore, the maximum spanning tree method is used to identify the spatial flow path of embodied carbon emissions between provinces and to distinguish the hierarchical status and roles of different provinces on the path. The research results show that the embodied carbon emission flow network among provinces has obvious small-world characteristics during the study, and the roles of different provinces in the network have significant heterogeneity. In general, Hebei and Inner Mongolia mainly act the role of suppliers of embodied carbon emissions, Guangdong and Zhejiang mainly act the role of consumers of embodied carbon emissions, while Zhejiang and Jiangsu mainly act as the media in the network. The spatial distribution characteristics of embodied carbon emission flow have a significant long tail effect; about 6% of the embodied carbon emission flow relationship among provinces accounts for 30% of that on the country level. The spatial flow direction of embodied carbon emissions was mainly concentrated in north China, central China, and southeast coastal region in the early stage and gradually shifted to inter-regional flows, presenting a divergent state of multiple regions and multiple centers. According to the flow path identification, it is found that Jiangsu, Guangdong, Hebei, Zhejiang, and other provinces are the key nodes on the spatial flow path of embodied carbon emissions in China, and the local center in a space is prominent. Based on the analysis and conclusions, the paper finally puts forward the corresponding countermeasures and suggestions in carbon reduction.

Keywords: Complex network; Embodied carbon emission flow; Key path; Multi-regional input–output model; Spatial pattern evolution.