Implications from substance flow analysis, supply chain and supplier’ risk evaluation in iron and steel industry in Mainland China
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DOI: 10.1016/j.resourpol.2017.01.002
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References listed on IDEAS
- Graedel, T. E. & Bertram, M. & Fuse, K. & Gordon, R. B. & Lifset, R. & Rechberger, H. & Spatari, S., 2002. "The contemporary European copper cycle: The characterization of technological copper cycles," Ecological Economics, Elsevier, vol. 42(1-2), pages 9-26, August.
- Elshkaki, Ayman & van der Voet, Ester & Timmermans, Veerle & Van Holderbeke, Mirja, 2005. "Dynamic stock modelling: A method for the identification and estimation of future waste streams and emissions based on past production and product stock characteristics," Energy, Elsevier, vol. 30(8), pages 1353-1363.
- Sun, Wei & Dong, Kaiqiang & Zhao, Tianyu, 2017. "Market demand dynamic induced mechanism in China's steel industry," Resources Policy, Elsevier, vol. 51(C), pages 13-21.
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- Guo, Sui & Li, Huajiao & An, Haizhong & Sun, Qingru & Hao, Xiaoqing & Liu, Yanxin, 2019. "Steel product prices transmission activities in the midstream industrial chain and global markets," Resources Policy, Elsevier, vol. 60(C), pages 56-71.
- Shule Li & Jingjing Yan & Qiuming Pei & Jinghua Sha & Siyu Mou & Yong Xiao, 2019. "Risk Identification and Evaluation of the Long-term Supply of Manganese Mines in China Based on the VW-BGR Method," Sustainability, MDPI, vol. 11(9), pages 1-23, May.
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Keywords
Substance flow analysis; Supply chain; Supplier’ risk evaluation; Iron and steel; Industrial structure;All these keywords.
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