Identifying Interindustry CO2 Emissions Transfer Structure Using Network Methods

Abstract

People's production and life have been inseparable from the consumption of various products, which often directly or indirectly release CO2. As CO2 emissions can transfer among industries, the identification and classification of the industries that release CO2 directly or indirectly can contribute to curbing the CO2 emissions. This paper proposes an input-output-based methodology to measure CO2 emissions transfer caused by linkages between industries in an economy and constructs the network topology in terms of the remarkable coefficients of interindustry CO2 emissions transfer. We classify all industries according to the role played in the emissions transfer process, and the network is represented by a “Bow-Tie” structure. In the visualization expression, it is easy to find the star nodes and the transmission paths of CO2 emissions among industries. Finally, the method is applied to the case of China. Empirical results indicate that the method developed in this paper provides new tools for the study of industrial CO2 emissions theory.

Modeling Intercity CO2 Trading Scenarios in China: Complexity of Urban Networks Integrating Different Spatial Scales

“…A node with high DC is at or close to the center of the overall network. Closeness centrality (CC) is used to measure the degree to which a node is out of the control of other nodes [62]. e higher the CC of a node is, the more direct the connection between the node and other nodes will be, and then the node is a central participant in the network.…”