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Identifying environmentally important supply chain clusters in the automobile industry |
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| Authors: | Shigemi Kagawa Sangwon Suh Yasushi Kondo Keisuke Nansai |
| Affiliation: | 1. Faculty of Economics , Kyushu University , Fukuoka , Japan;2. Bren School of Environmental Science and Management , The University of California , Santa Barbara , USA;3. Faculty of Political Science and Economics , Waseda University , Tokyo , Japan;4. Industrial Ecology Programme , Norwegian University of Science and Technology , Trondheim , Norway;5. Center for Material Cycles and Waste Management Research , National Institute for Environmental Studies , Tsukuba , Japan;6. Integrated Sustainability Analysis, School of Physics, Faculty of Science , The University of Sydney , NSW , Australia |
| Abstract: | In this paper, we develop a new approach that combines the spectral clustering method and input–output analysis to detect environmentally important supply chain clusters. The newly developed method was applied to automobile manufacturing in Japan, and major clusters with high energy intensities in the automobile supply chain were identified. This paper proposes that the car manufacturers will be able to regularly publish their life-cycle assessment reports with a focus on the indirect energy consumptions within the critical supply chains and request key auto-part manufacturers in the cluster to reduce the indirect consumptions through the relevant supply chain engagement. |
| Keywords: | Energy clusters Supply chain Spectral clustering analysis Laplacian matrix |