文献类型：期刊文献

英文题名：Resilience of international oil trade networks under extreme event shock-recovery simulations

作者：Wei, Na[1,3];Xie, Wen-Jie[2,3];Zhou, Wei-Xing[2,3,4]

机构：[1]Yangtze Normal Univ, Sch Civil & Architectural Engn, Chongqin 408100, Peoples R China;[2]East China Univ Sci & Technol, Sch Business, 130 Meilong Rd,POB 114, Shanghai 200237, Peoples R China;[3]East China Univ Sci & Technol, Res Ctr Econophys, Shanghai 200237, Peoples R China;[4]East China Univ Sci & Technol, Sch Math, Shanghai 200237, Peoples R China

年份：2025

卷号：314

外文期刊名：ENERGY

收录：;EI(收录号：20245117557683);WOS:【SCI-EXPANDED(收录号:WOS:001391321800001)】；

基金：This work was supported by the Science and Technology Research Program of Chongqing Municipal Education Commission, China (grants KJQN202401402) , the National Natural Science Foundation of China (grants 72401036 and 72171083) , and the Fundamental Research Funds for the Central Universities, China.

语种：英文

外文关键词：International oil trade network; Network resilience; Oil security; Trade shock simulation

摘要：With the frequent occurrence of black swan events, global energy security situation has become increasingly complex and severe. Assessing the resilience of the international oil trade network (iOTN) is crucial for evaluating its ability to withstand extreme shocks and recover thereafter, ensuring energy security. We overcome the limitations of discrete historical data by developing a simulation model for extreme event shock- recovery in the iOTNs. We introduce network efficiency indicator to measure oil resource allocation efficiency and evaluate network performance. Then, we construct a resilience index to explore the resilience of the iOTNs from dimensions of resistance and recoverability. Our findings indicate that extreme events can lead to sharp declines in performance of the iOTNs, especially when economies with significant trading positions and relations suffer shocks. The upward trend in recoverability and resilience reflects the self-organizing nature of the iOTNs, demonstrating its capacity for optimizing its own structure and functionality. Unlike traditional energy security research based solely on discrete historical data or resistance indicators, our model evaluates resilience from multiple dimensions, offering insights for global energy governance systems while providing diverse perspectives for various economies to mitigate risks and uphold energy security.