Analysis of the spatial association network structure of China's transportation carbon emissions and its driving factors
Abstract
Using the social network analysis method, this paper explores the characteristics of the spatial association network structure of China's provincial transportation carbon emissions from 2005 to 2015 and its driving factors. The results are as follows: (1) The spatial association of China's provincial transportation carbon emissions exhibits an intuitive network structure. The degree of closeness which were 0.2253 and 0.2333 in 2005 and 2015...
Paper Details
Title
Analysis of the spatial association network structure of China's transportation carbon emissions and its driving factors
Published Date
Jan 1, 2020
Volume
253
Pages
109765 - 109765
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