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王真的论文在Ecological Indicators 刊出
发布时间:2017-05-15     发布者:yz         审核者:     浏览次数:

标题:Identify sectors’ role on the embedded CO2 transfer networks through China’s regional trade作者:Zhen Wang, Chengming Xiao, Beibei Niu, Liangchun Deng, Yong Liu

来源出版物:Ecological Indicators卷:80页码:114-123 出版年:September 2017

摘要:This study developed a framework for combining multi-regional input-output analysis and network indicators to assess the interregional CO2 flows in China. The interregional CO2 flows of eight regions were calculated and visualized based on a multiregional input-output (MRIO) model for China. The focus of the research was intermediate use. The results of the network indicators showed that refined petroleum, coke, nuclear fuel and chemical products (07), and basic metals and fabricated metal sectors (09) played key roles in the complex networks. and these sectors in most regions controlled a large share of CO2 transfer by functioning as key hubs and authorities. They along with commerce, transport, storage, and post (16) acted as agents that brokered the CO2 flows within and between regions. The roles of some other industrial sectors were also identified, e.g., construction (15) functioned as the largest authority. The results demonstrated the importance and effectiveness of network indicators for identifying the characteristics of CO2 emissions embedded in the domestic supply chain, and provided new information relevant to policy implementation.

文献类型:Article

语种:English

作者关键词: Network analysis;Multi-regional input-output analysis;Embedded CO2;Trade

通讯作者地址:[Zhen Wang]School of Resource and Environmental Sciences, Wuhan University, Wuhan, Hubei, 430079, China

电子邮件地址:sinoo@whu.edu.cn, sinoo.whu@gmail.com

地址:

[Zhen Wang, Chengming Xiao, Beibei Niu]School of Resource and Environmental Sciences, Wuhan University, Wuhan, Hubei, 430079, China

[Liangchun Deng]Center for Environmental Progress, Wuhan, Hubei 430070, China

[Yong Liu]College of Environmental Science and Engineering, Peking University, Beijing, 100871, China

ISSN:1470-160X

影响因子:3.19