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Study on the robustness of China's oil import network

Author

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  • Chen, Sai
  • Ding, Yueting
  • Zhang, Yanfang
  • Zhang, Ming
  • Nie, Rui

Abstract

The robustness of the oil import network is critical to energy security, as approximately 70% of the oil consumed in China is obtained from other countries. However, during long-distance transportation, external shocks constantly threaten the imported network because of the particular commodity nature of oil. To explore the network's resistance to external shocks, namely the robustness, we made the following efforts. Firstly, Combined with the complex network, China's oil import network (COIN) was constructed. Then the robustness of the network under two nodes failures, random attacks and malicious attacks, was simulated and measured. Finally, a virtual network was constructed to verify the effect of structural change on improving robustness. The research conclusions are as follows: (1) Overall, the robustness of COIN is relatively poor. The robustness of the network under malicious attacks is much lower than that of random attacks. (2) The performance curves of COIN under external shocks were almost identical, and there was no year in which COIN was more resistant to external shocks from 2011 to 2019. (3) The new nodes and edges have greatly improved the network robustness, even though the scale-free characteristics of the network have not been changed.

Suggested Citation

  • 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).
  • Handle: RePEc:eee:energy:v:239:y:2022:i:pb:s0360544221023872
    DOI: 10.1016/j.energy.2021.122139
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    as
    1. Gert Sabidussi, 1966. "The centrality index of a graph," Psychometrika, Springer;The Psychometric Society, vol. 31(4), pages 581-603, December.
    2. 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.
    3. Mo, Hongming & Deng, Yong, 2019. "Identifying node importance based on evidence theory in complex networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 529(C).
    4. Rouleau, Jean & Gosselin, Louis & Blanchet, Pierre, 2019. "Robustness of energy consumption and comfort in high-performance residential building with respect to occupant behavior," Energy, Elsevier, vol. 188(C).
    5. Liu, Litao & Cao, Zhi & Liu, Xiaojie & Shi, Lei & Cheng, Shengkui & Liu, Gang, 2020. "Oil security revisited: An assessment based on complex network analysis," Energy, Elsevier, vol. 194(C).
    6. Hao, Xiaoqing & An, Haizhong & Qi, Hai & Gao, Xiangyun, 2016. "Evolution of the exergy flow network embodied in the global fossil energy trade: Based on complex network," Applied Energy, Elsevier, vol. 162(C), pages 1515-1522.
    7. Liu, Jun & Xiong, Qingyu & Shi, Weiren & Shi, Xin & Wang, Kai, 2016. "Evaluating the importance of nodes in complex networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 452(C), pages 209-219.
    8. Kotireddy, Rajesh & Hoes, Pieter-Jan & Hensen, Jan L.M., 2018. "A methodology for performance robustness assessment of low-energy buildings using scenario analysis," Applied Energy, Elsevier, vol. 212(C), pages 428-442.
    9. G. Paul & T. Tanizawa & S. Havlin & H. Stanley, 2004. "Optimization of robustness of complex networks," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 38(2), pages 187-191, March.
    10. Ghedini, Cinara G. & Ribeiro, Carlos H.C., 2011. "Rethinking failure and attack tolerance assessment in complex networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(23), pages 4684-4691.
    11. Beccue, Phillip C. & Huntington, Hillard G. & Leiby, Paul N. & Vincent, Kenneth R., 2018. "An updated assessment of oil market disruption risks," Energy Policy, Elsevier, vol. 115(C), pages 456-469.
    12. O'Brien, Geoff & Hope, Alex, 2010. "Localism and energy: Negotiating approaches to embedding resilience in energy systems," Energy Policy, Elsevier, vol. 38(12), pages 7550-7558, December.
    13. Albert Munoz & Michelle Dunbar, 2015. "On the quantification of operational supply chain resilience," International Journal of Production Research, Taylor & Francis Journals, vol. 53(22), pages 6736-6751, November.
    14. 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).
    15. Réka Albert & Hawoong Jeong & Albert-László Barabási, 2000. "Error and attack tolerance of complex networks," Nature, Nature, vol. 406(6794), pages 378-382, July.
    Full references (including those not matched with items on IDEAS)

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