文献类型：期刊文献

英文题名：Robustness of the international oil trade network under targeted attacks to economies

作者：Wei, Na[1];Xie, Wen-Jie[1,2];Zhou, Wei-Xing[1,2,3]

机构：[1]East China Univ Sci & Technol, Sch Business, Shanghai 200237, Peoples R China;[2]East China Univ Sci & Technol, Res Ctr Econophys, Shanghai 200237, Peoples R China;[3]East China Univ Sci & Technol, Sch Math, Shanghai 200237, Peoples R China

年份：2022

卷号：251

外文期刊名：ENERGY

收录：;EI(收录号：20221611986878);WOS:【SCI-EXPANDED(收录号:WOS:000798563400016)】；

基金：Acknowledgment This work was supported by the National Natural Science Foundation of China under grants U1811462 and 72171083, the Shanghai Outstanding Academic Leaders Plan, and the Funda-mental Research Funds for the Central Universities.

语种：英文

外文关键词：Global oil market; Oil security; International oil trade network; Network robustness; Targeted attack

摘要：In the international oil trade network, trade shocks triggered by extreme events may spread over the entire network through trade links and even lead to the collapse of the whole system. To investigate the robustness of the international oil trade network under targeted attacks (i.e. shocks) to economies, we focus on the concept of "too central to fail". The results of the centrality measurement of economies and international organizations show that there are significant differences in the results of identifying the centrality of economies by different indicators. The judgment of influence by a single indicator cannot be considered from multiple levels. The simulation results show that the regional aggregation of oil trade is an essential source of the oil trade network's vulnerability and the global oil trading system becomes more fragile after encountering major events. Maintaining oil trade stability and security requires to focus on economies with greater influence within the network module. We improve the framework of oil security and trade risk assessment based on the topological index of the network, and provide a reference for finding methods to maintain network robustness and oil trade stability. (c) 2022 Elsevier Ltd. All rights reserved.