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.
Highlights
CO2 is one of the main greenhouse gases, which contribute to climate change
Indirect CO2 emissions from an industry are not caused in its production process, but by its requirements involved in the industrial chains. e production of an industry often requires a variety of products, and these intermediate inputs release CO2 due to the combustion of fossil fuels in their production process, resulting in indirect emissions [6, 7]
Some industries may consume a great deal of power rather than fossil fuels, which result in indirect CO2 emissions as electric power industry emits a lot of CO2 during its production process. e responsibility for these emissions should not be the electric power industry, but those industries that need power
Summary
CO2 is one of the main greenhouse gases, which contribute to climate change. A country’s CO2 emissions are caused by people’s daily life and the production of various goods and services. Duan et al [20] combined multiregion input-output (MRIO) analysis and ecological network analysis (ENA) to assess China’s carbon flow and identified key carbon reduction areas and sectors. He et al [21] used the modified gravity model on carbon emissions from China’s power sector to build a spatial correlation network. (1) From the perspective of qualitative input-output, the ICETN model proposed in this paper reveals the effect of carbon emissions among industries in an economy and describes the correlation structure and individual characteristics of networks.
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