Industrial clusters with substantial carbon-reduction potential
Industrial clusters with substantial carbon-reduction potential
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DOI：
10.1080/09535314.2018.1492369
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发表时间：
2018-07
影响因子：
2.5
通讯作者：
Keiichiro Kanemoto;T. Hanaka;S. Kagawa;K. Nansai
中科院分区：
文献类型：
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作者：
Keiichiro Kanemoto;T. Hanaka;S. Kagawa;K. Nansai
为了成功地减少环境排放，企业需要扩大其排放核算的范围，以包括整个供应链。聚类方法已被用来寻找排放密集型产业集群。然而，这种方法在形成高排放产业集群时没有包括整个直接和间接供应链。我们提出了一种新的方法的基础上修改的归一化切割功能Leontief的投入产出模型和基本的聚类算法，找到高水平的体现集群内的排放，以及分离的供应链网络中的产业集群。我们使用这种方法来识别日本产业的58个碳密集型集群，并根据隐含碳流对集群内的供应链进行可视化。我们建议企业在集群内开展合作，以减少环境排放。我们的研究结果为工业供应链中的减排行动和技术开发提供了新的见解。
ABSTRACT To successfully reduce environmental emissions, companies need to expand the scope of their emissions accounting to include entire supply chains. A clustering approach has been used to find emission-intensive industry clusters. However, this approach did not include entire direct and indirect supply chains when forming high emission industry clusters. We propose a new method based on a modified normalized cut function with Leontief’s input–output model and basic clustering algorithms to find industry clusters with high levels of embodied within-cluster emissions that are well separated in the supply chain network. We use this method to identify 58 carbon-intensive clusters of Japanese industries and visualize the within-cluster supply chains in terms of embodied carbon flows. We recommend that companies collaborate within clusters to reduce environmental emissions. Our results provide new insights on where to target emissions reduction actions and technology development within industrial supply chains.