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As CO<jats:sub>2<\/jats:sub> emissions can transfer among industries, the identification and classification of the industries that release CO<jats:sub>2<\/jats:sub> directly or indirectly can contribute to curbing the CO<jats:sub>2<\/jats:sub> emissions. This paper proposes an input\u2010output\u2010based methodology to measure CO<jats:sub>2<\/jats:sub> emissions transfer caused by linkages between industries in an economy and constructs the network topology in terms of the remarkable coefficients of interindustry CO<jats:sub>2<\/jats:sub> emissions transfer. We classify all industries according to the role played in the emissions transfer process, and the network is represented by a \u201cBow\u2010Tie\u201d structure. In the visualization expression, it is easy to find the star nodes and the transmission paths of CO<jats:sub>2<\/jats:sub> 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 CO<jats:sub>2<\/jats:sub> emissions theory.<\/jats:p>","DOI":"10.1155\/2021\/6808339","type":"journal-article","created":{"date-parts":[[2021,10,5]],"date-time":"2021-10-05T00:31:19Z","timestamp":1633393879000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Identifying Interindustry CO<sub>2<\/sub> Emissions Transfer Structure Using Network 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