Environmentally-Targeted Sectors and Linkages in the Global Supply-Chain Complexity of Transport Equipment
Environmentally-Targeted Sectors and Linkages in the Global Supply-Chain Complexity of Transport Equipment
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DOI：
10.1016/j.ecolecon.2018.04.017
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发表时间：
2018-08
影响因子：
7
通讯作者：
Shohei Tokito
中科院分区：
文献类型：
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作者：
Shohei Tokito
本研究将投入产出聚类分析与结构路径介数分析相结合，确定了与五个国家(美国、中国、德国、日本和法国)的运输设备最终需求相关的全球供应链网络中属于重要排放集群的关键部门。聚类分析可以将构建全球供应链网络中排放量大的强连接供应链的群体划分出来，结构路径介数代表了一个部门在全球供应链网络中供应链路径的二氧化碳排放量。我将组合方法应用于Eora数据库，该数据库覆盖189个国家，重点关注整个全球供应链网络。结果表明，全球运输设备供应链网络被很好地划分为排放量较高的排放集群，这些排放集群由结构路径介数较高的部门组成。中国的排放集群是从上述五个国家的全球供应链网络中确定的，中国行业的中介往往在供应链网络中具有更高的价值。在这项研究中，我建议对高优先部门进行供应链管理，以减少生产国运输设备的二氧化碳排放。
This study combined the input-output clustering analysis and structural path betweenness analysis, and identified critical sectors belonging to important emission clusters in the global supply chain networks associated with final demand of transport equipment in five countries (United States, China, Germany, Japan, and France). Clustering analysis can divide the groups constructing the strong connecting supply chain with large emissions from the global supply chain network, and structural path betweenness represents how much CO2emissions from the supply chain paths a sector has in global supply chain network. I applied the combined method to the EORA database which covers 189 countries and focused on the whole global supply chain networks in detail. The results demonstrate that the global supply chain networks of transport equipment were well separated into emission clusters with higher emissions that consist of sectors with higher structural path betweenness. Chinese emission clusters were identified from the global supply chain networks for the five countries in question and the betweenness of Chinese sectors tend to be higher values in the supply chain networks. In this study, I suggested supply chain management of high priority sectors for a reduction in CO2emissions of transport equipment in the producing countries.