CO2 mitigation through global supply chain restructuring

CO2 mitigation through global supply chain restructuring
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DOI:
10.1016/j.eneco.2021.105768
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发表时间:
2021-12
期刊:
影响因子:
12.8
通讯作者:
Keitaro Maeno;Shohei Tokito;S. Kagawa
Keitaro Maeno;Shohei Tokito;S. Kagawa
中科院分区:
经济学2区
文献类型:
--
作者:
Keitaro Maeno;Shohei Tokito;S. Kagawa

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本研究运用四种不同的投入产出方法--单元结构分析、聚类分析、扩展的全局提取分析和结构分解分析,构建了一个综合的分析框架,称为基于情景的提取方法(SEM)。在实证分析中,我们使用了最新的2014年世界投入产出数据库,并模拟了一个相关国家(本研究中的日本汽车产业)对一个相关产业的最终需求所引发的全球供应链(GSC)二氧化碳网络结构。基于GSC网络数据的聚类分析表明,该网络中存在二氧化碳排放密集型集群,其二氧化碳排放在日本以外地区过集中。从扫描电子显微镜分析还发现,基于提取最大的二氧化碳排放集群(即二氧化碳排放热点)的日本汽车供应链的重组使其全球碳足迹减少了6.5%。同时,重组增加了除热点国家以外所有国家的二氧化碳排放,特别是在一些替代生产的重要地点。我们的结论是,日本目前的汽车供应链可以通过结构性改革大幅减少二氧化碳排放。我们的框架可以帮助设计适当的政策来重组绿色供应链。
This study develops an integrated analysis framework, called scenario-based extraction method (SEM) using four different input-output methods—unit structure analysis, cluster analysis, extended global extraction analysis and structural decomposition analysis. For the empirical analysis, we used the latest 2014 World Input–Output Database and modeled the global supply chain (GSC) CO2network structure induced by the final demand for one relevant industry in one relevant country (the Japanese automobile industry in this study). The cluster analysis based on the GSC network data revealed CO2emission-intensive clusters existed in this network with overconcentrated CO2emissions outside of Japan. From the SEM analysis, we also found that the restructuring of the Japanese automotive supply chain based on extracting the largest CO2emission cluster (i.e., CO2emission hotspot) reduces its global carbon footprint by 6.5%. Simultaneously, the restructuring increases CO2emissions in all countries other than a hotspot country, particularly in some important locations for the substitute production. We conclude that Japan's current automotive supply chain can significantly reduce CO2emissions through structural reforms. Our framework can help in designing appropriate policies for restructuring green supply chains.