详细信息
Multi-layer networks research on analyzing supply risk transmission of lithium industry chain ( EI收录)
文献类型:期刊文献
英文题名:Multi-layer networks research on analyzing supply risk transmission of lithium industry chain
作者:Hao, Hongchang[1,3];Xing, Wanli[2,6];Wang, Anjian[3,7];Song, Hao[1];Han, Yawen[4];Zhao, Pei[5];Xie, Ziqi[1];Chen, Xuemei[1,3]
第一作者:Hao, Hongchang
通讯作者:Xing, WL[1];Wang, AJ[2]
机构:[1]China Univ Geosci, Sch Earth Sci & Resources, Beijing, Peoples R China;[2]China Geol Survey, Dev Res Ctr, Beijing 100037, Peoples R China;[3]Chinese Acad Geol Sci, Res Ctr Strategy Global Mineral Resources, Beijing, Peoples R China;[4]Zhejiang Sci Tech Univ, Sch Econ & Management, Hangzhou, Peoples R China;[5]Beijing Union Univ, Teachers Coll, Beijing, Peoples R China;[6]China Geol Survey, Dev Res Ctr, 45 Fuwai St, Beijing 100037, Peoples R China;[7]Chinese Acad Geol Sci, Inst Mineral Resources, 26 Baiwanzhuang St, Beijing 100037, Peoples R China
第一机构:China Univ Geosci, Sch Earth Sci & Resources, Beijing, Peoples R China
通讯机构:[1]corresponding author), China Geol Survey, Dev Res Ctr, 45 Fuwai St, Beijing 100037, Peoples R China;[2]corresponding author), Chinese Acad Geol Sci, Inst Mineral Resources, 26 Baiwanzhuang St, Beijing 100037, Peoples R China.
年份:2022
卷号:79
外文期刊名:RESOURCES POLICY
收录:;EI(收录号:20223512646043);Scopus(收录号:2-s2.0-85136551142);WOS:【SSCI(收录号:WOS:000862851400009)】;
基金:This research is supported by grants from the National Natural Science Foundation of China (Grant No. 71991485, and No.71991480) , Basic Science Center Project for National Natural Science Foundation of China (No. 72088101,the Theory and Application of Resource and Environment Management in the Digital Economy Era) , and the National Natural Science Foundation of China (Grant No. 42101286) .
语种:英文
外文关键词:The foreseeable risk; Complex network; Risk transmission; Lithium industry chain; Multi-layer networks
摘要:Lithium is crucial for low-carbon economic transformation, which presents a strong growth in demand worldwide. To explore the foreseeable and hidden systemic risks in the trade network, the article integrates virus transmission theory with complex network theory to analyze the mechanism of risk transmission in the trade network system of the lithium industry chain. This paper constructs multi-layer risk transmission networks (MRTN) based on the lithium industry chain to simulate the dynamic process of risk transmission along the industrial chain and evaluate the extent and path of risk transmission. The results show that the risk transmission in the lithium trade network system belongs to "minority communication" and is of a "robust-yet-fragile" characterization. Diversified trade relationships increase network flexibility and anti-risk capabilities of countries in the network but also decrease the leaderships of some hub countries. During the transmission process, there are four patterns: direct contact transmission, indirect contact transmission, nucleus transmission, and spatial transmission. The finding can serve for decision-makers to seek effective strategies to build a more resilient trade system and hence improve lithium supply security and efficiency.
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