Research on Interprovincial Embodied Carbon Transfer Network in China and Its Endogenous Dynamic Evolutionary Mechanism

Ming Luo (), Ruihao Zheng, Ruguo Fan, Yingqing Zhang and Min Yang
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Ming Luo: Economics and Management School, Guangxi Normal University, Guilin 541000, China
Ruihao Zheng: Economics and Management School, Guangxi Normal University, Guilin 541000, China
Ruguo Fan: Economics and Management School, Wuhan University, Wuhan 430072, China
Yingqing Zhang: School of Management Science and Engineering, Guizhou University of Finance and Economics, Guiyang 550025, China
Min Yang: School of Business, Yulin Normal University, Yulin 537000, China

Sustainability, 2024, vol. 16, issue 24, 1-21

Abstract: This paper uses the multi-regional input–output model to measure China’s interprovincial embodied carbon transfer and constructs an interprovincial network; then, the temporal exponential random graph model is applied to analyze the spatial correlation characteristics and endogenous evolutionary mechanism of the network. The results show that interprovincial embodied carbon transfer relationships are increasingly close in China, but the weak symmetric accessibility between the eastern and central regions leads to less reciprocity in the embodied carbon network, and carbon emission inequality still exists. Based on the identification of networks, it is shown that the global network structures are stable, with obvious small-world characteristics and a core–periphery structure. And a structure-dependent effect and time-dependent effect also exist in the formation and evolution of the interprovincial embodied carbon transfer network in China. The popularity, multi-connectivity, and path-dependent effects among the provinces are significant, but the imperfection of interprovincial communication and the cooperation mechanism leads to the failure to form stable structures of ternary closed loops. Interprovincial embodied carbon transfer relationships tend to occur between provinces, with large differences in energy consumption structures, while geographical distance can hinder the formation of embodied carbon transfer relationships. Consequently, considering the spatial network correlation and its endogenous dynamic evolutionary mechanism, it is important to implement policies to guide coordinated carbon reduction among the provinces and to improve the fairness in embodied carbon transferring, in order to promote the fine governance of all links in the transferring process of embodied carbon.

Keywords: multi-regional input–output model; embodied carbon transfer; spatial network structure; temporal exponential random graph model; endogenous evolutionary mechanism (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2024
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