Literature DB >> 29909536

A network analysis of indirect carbon emission flows among different industries in China.

Qiang Du1, Yadan Xu2, Min Wu2, Qiang Sun2, Libiao Bai3, Ming Yu2.   

Abstract

Indirect carbon emissions account for a large ratio of the total carbon emissions in processes to make the final products, and this implies indirect carbon emission flow across industries. Understanding these flows is crucial for allocating a carbon allowance for each industry. By combining input-output analysis and complex network theory, this study establishes an indirect carbon emission flow network (ICEFN) for 41 industries from 2005 to 2014 to investigate the interrelationships among different industries. The results show that the ICEFN was consistent with a small-world nature based on an analysis of the average path lengths and the clustering coefficients. Moreover, key industries in the ICEFN were identified using complex network theory on the basis of degree centrality and betweenness centrality. Furthermore, the 41 industries of the ICEFN were divided into four industrial subgroups that are related closely to one another. Finally, possible policy implications were provided based on the knowledge of the structure of the ICEFN and its trend.

Entities:  

Keywords:  Complex network; Indirect carbon emission flows; Industry; Input–output analysis

Mesh:

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Year:  2018        PMID: 29909536     DOI: 10.1007/s11356-018-2533-x

Source DB:  PubMed          Journal:  Environ Sci Pollut Res Int        ISSN: 0944-1344            Impact factor:   4.223


  2 in total

1.  A study on carbon transfer and carbon emission critical paths in China: I-O analysis with multidimensional analytical framework.

Authors:  Lei Wen; Yixin Zhang
Journal:  Environ Sci Pollut Res Int       Date:  2020-01-10       Impact factor: 4.223

2.  Characteristics Analysis and Identification of Key Sectors of Air Pollutant Emissions in China from the Perspective of Complex Metabolic Network.

Authors:  Jiekun Song; Lina Jiang; Zeguo He; Zhicheng Liu; Xueli Leng
Journal:  Int J Environ Res Public Health       Date:  2022-07-31       Impact factor: 4.614

  2 in total

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