School of Economics and Management, Chang'an Univ, Xi'an, 710064, Shaanxi, China.
School of Civil Engineering, Chang'an Univ, Xi'an, 710061, Shaanxi, China.
Environ Sci Pollut Res Int. 2018 Aug;25(24):24469-24487. doi: 10.1007/s11356-018-2533-x. Epub 2018 Jun 17.
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.
间接碳排放占最终产品制造过程总碳排放量的很大比例，这意味着间接碳排放跨越了多个行业。了解这些流动情况对于为每个行业分配碳配额至关重要。本研究通过结合投入产出分析和复杂网络理论，建立了一个涵盖 2005 年至 2014 年 41 个行业的间接碳排放流动网络（ICEFN），以研究不同行业之间的相互关系。结果表明，基于平均路径长度和聚类系数的分析，ICEFN 具有小世界性质。此外，基于度中心度和中间中心度，利用复杂网络理论确定了 ICEFN 中的关键行业。进一步地，将 ICEFN 的 41 个行业划分为四个密切相关的工业子组。最后，根据 ICEFN 的结构及其趋势提供了可能的政策含义。
