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Risk analysis and resilience assessment of China's oil imports after the Ukraine Crisis：A network-based dynamics model

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  • Liu, Yi
  • Wang, Jianliang

Abstract

Global oil trade integration while creating a platform for risk spread. This study established a two-stage model for risk spread and recovery, simulating the cascading impact of oil supply shortage risks. On this basis, an assessment of the resilience of China's oil imports is conducted. The results indicate that, during the risk spread phase, countries causing a significant negative impact on China's oil imports may not necessarily be China's primary import sources. The proportion of indirect losses in Chinese oil imports due to Canadian oil supply shortages accounted for more than 70 % of the total losses. The United States, Singapore, Australia, the United Kingdom, and Brazil repeatedly act as intermediaries in risk spread. For the recovery phase, swiftly restoration of China's initial imports needs to establish new trade relationships with other non-traditional partners through competition. The top three countries in terms of accumulated new trade relationships are Korea (21), Turkmenistan (13), and Mexico (4). Regarding resilience, when the risk originates from Saudi Arabia, China demonstrates the weakest risk resistance, followed by Russia and Iran. The results not only serve as an early warning for China on regional oil supply risks but also provide policy directions for securing oil stable supply.

Suggested Citation

  • Liu, Yi & Wang, Jianliang, 2024. "Risk analysis and resilience assessment of China's oil imports after the Ukraine Crisis：A network-based dynamics model," Energy, Elsevier, vol. 299(C).
    • Handle: RePEc:eee:energy:v:299:y:2024:i:c:s0360544224012751
    DOI: 10.1016/j.energy.2024.131502
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    References listed on IDEAS

    as
    1. Ouyang, Min & Wang, Zhenghua, 2015. "Resilience assessment of interdependent infrastructure systems: With a focus on joint restoration modeling and analysis," Reliability Engineering and System Safety, Elsevier, vol. 141(C), pages 74-82.
    2. Hao, Hongchang & Ma, Zhe & Wang, Anjian & Xing, Wanli & Song, Hao & Zhao, Pei & Wei, Jiangqiao & Zheng, Shuxian, 2023. "Modeling and assessing the robustness of the lithium global trade system against cascading failures," Resources Policy, Elsevier, vol. 85(PB).
    3. Shikha Jha & Kensuke Kubo & Bharat Ramaswami, 2016. "International Trade and Risk Sharing in the Global Rice Market: The Impact of Foreign and Domestic Supply Shocks," Asian Development Review, MIT Press, vol. 33(1), pages 162-182, March.
    4. Hao, Hongchang & Xing, Wanli & Wang, Anjian & Song, Hao & Han, Yawen & Zhao, Pei & Xie, Ziqi & Chen, Xuemei, 2022. "Multi-layer networks research on analyzing supply risk transmission of lithium industry chain," Resources Policy, Elsevier, vol. 79(C).
    5. Hongbo Cai & Yuanyuan Song, 2016. "The state’s position in international agricultural commodity trade," China Agricultural Economic Review, Emerald Group Publishing Limited, vol. 8(3), pages 430-442, September.
    6. Wang, Shuang & Jia, Haiying & Lu, Jing & Yang, Dong, 2023. "Crude oil transportation route choices: A connectivity reliability-based approach," Reliability Engineering and System Safety, Elsevier, vol. 235(C).
    7. Yu, Yu & Ma, Daipeng & Zhu, Weiwei, 2023. "Resilience assessment of international cobalt trade network," Resources Policy, Elsevier, vol. 83(C).
    8. Hongbo Cai & Yuanyuan Song, 2016. "The state’s position in international agricultural commodity trade," China Agricultural Economic Review, Emerald Group Publishing Limited, vol. 8(3), pages 430-442, September.
    9. Maddalena Conte & Pierre Cotterlaz & Thierry Mayer, 2022. "The CEPII Gravity Database," Working Papers 2022-05, CEPII research center.
    10. Zhang, Dayong & Broadstock, David C., 2020. "Global financial crisis and rising connectedness in the international commodity markets," International Review of Financial Analysis, Elsevier, vol. 68(C).
    11. Nakhli, Seyyed Reza & Rafat, Monireh & Dastjerdi, Rasul Bakhshi & Rafei, Meysam, 2021. "Oil sanctions and their transmission channels in the Iranian economy: A DSGE model," Resources Policy, Elsevier, vol. 70(C).
    12. Feng, Yanchao & Sabir, Saeed Ahmad & Quddus, Abdul & Wang, Jianxin & Abbas, Shujaat, 2024. "Do the grey clouds of geopolitical risk and political globalization exacerbate environmental degradation? Evidence from resource-rich countries," Resources Policy, Elsevier, vol. 89(C).
    13. Steinbach, Sandro, 2023. "The Russia–Ukraine war and global trade reallocations," Economics Letters, Elsevier, vol. 226(C).
    14. Wang, Xingxing & Li, Huajiao & Yao, Huajun & Zhu, Depeng & Liu, Nairong, 2018. "Simulation analysis of the spread of a supply crisis based on the global natural graphite trade network," Resources Policy, Elsevier, vol. 59(C), pages 200-209.
    15. Wen Jun Tan & Allan N. Zhang & Wentong Cai, 2019. "A graph-based model to measure structural redundancy for supply chain resilience," International Journal of Production Research, Taylor & Francis Journals, vol. 57(20), pages 6385-6404, October.
    16. Yu, Yu & Ma, Daipeng & Qian, Yingmiao, 2023. "A resilience measure for the international nickel trade network," Resources Policy, Elsevier, vol. 86(PA).
    17. Chen, Sai & Ding, Yueting & Zhang, Yanfang & Zhang, Ming & Nie, Rui, 2022. "Study on the robustness of China's oil import network," Energy, Elsevier, vol. 239(PB).
    18. Robert C. Feenstra & Robert E. Lipsey & Haiyan Deng & Alyson C. Ma & Hengyong Mo, 2005. "World Trade Flows: 1962-2000," NBER Working Papers 11040, National Bureau of Economic Research, Inc.
    19. Sun, Qingru & Gao, Xiangyun & Zhong, Weiqiong & Liu, Nairong, 2017. "The stability of the international oil trade network from short-term and long-term perspectives," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 482(C), pages 345-356.
    20. Gong, Xu & Sun, Yi & Du, Zhili, 2022. "Geopolitical risk and China's oil security," Energy Policy, Elsevier, vol. 163(C).
    21. Chen, Zhihua & An, Haizhong & An, Feng & Guan, Qing & Hao, Xiaoqing, 2018. "Structural risk evaluation of global gas trade by a network-based dynamics simulation model," Energy, Elsevier, vol. 159(C), pages 457-471.
    22. Feng, Yanchao & Hu, Jin & Afshan, Sahar & Irfan, Muhammad & Hu, Mingjun & Abbas, Shujaat, 2023. "Bridging resource disparities for sustainable development: A comparative analysis of resource-rich and resource-scarce countries," Resources Policy, Elsevier, vol. 85(PA).
    23. Kyu-Min Lee & Kwang-Il Goh, 2016. "Strength of weak layers in cascading failures on multiplex networks: case of the international trade network," Papers 1603.05181, arXiv.org, revised May 2016.
    24. Ding, Yueting & Zhang, Ming & Chen, Sai & Nie, Rui, 2020. "Assessing the resilience of China’s natural gas importation under network disruptions," Energy, Elsevier, vol. 211(C).
    25. Feng, Yanchao & Shoaib, Muhammad & Akram, Rabia & Alnafrah, Ibrahim & Ai, Fengyi & Irfan, Muhammad, 2024. "Assessing and prioritizing biogas energy barriers: A sustainable roadmap for energy security," Renewable Energy, Elsevier, vol. 223(C).
    26. repec:ags:aaea22:335482 is not listed on IDEAS
    27. Hao, Xiaoqing & An, Haizhong, 2022. "Comparative study on transmission mechanism of supply shortage risk in the international trade of iron ore, pig iron and crude steel," Resources Policy, Elsevier, vol. 79(C).
    28. Wei, Na & Xie, Wen-Jie & Zhou, Wei-Xing, 2022. "Robustness of the international oil trade network under targeted attacks to economies," Energy, Elsevier, vol. 251(C).
    29. D. Garlaschelli & M. I. Loffredo, 2005. "Structure and Evolution of the World Trade Network," Papers physics/0502066, arXiv.org, revised May 2005.
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