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Evolution of Global Crude Oil Trade Network Structure and Resilience

Author

Listed:
  • Xiaojin Yuan

    (School of Business, Nanjing University, Nanjing 210093, China
    These authors contributed equally to this work.)

  • Chunbao Ge

    (Hefei Advanced Research Institute, Anhui University of Finance & Economics, Hefei 230071, China
    These authors contributed equally to this work.)

  • Yapan Liu

    (School of Business, Nanjing University, Nanjing 210093, China)

  • Na Li

    (School of Economics and Management, Xinjiang University, Urumqi 830046, China)

  • Ying Wang

    (School of Business, Nanjing University, Nanjing 210093, China)

Abstract

Existing studies mainly focus on the evolutionary characteristics of the global crude oil trade network under a steady state, neglecting to analyze the competition and cooperation among countries regarding crude oil as a strategic resource from a spatial–geographical perspective. There needs to be more studies analyzing the impact of crude oil trade disruptions on the resilience of the whole network from the perspective of supply and demand shocks in different influential countries, thus promoting the sustainable development of the global economy and the transition to green energy. Based on the global crude oil trade data from 2007 to 2020, this paper examines the structural evolution of the trade network using a complex network approach and simulates the impact of disruptions on its resilience. Results indicate that the global crude oil trade network expands and becomes more closely connected, and five major trade groups have been formed. Further simulation reveals that the impact of national disruptions on global trade resilience is not linear. Moreover, the influence from core countries is significantly higher than peripheral countries.

Suggested Citation

  • Xiaojin Yuan & Chunbao Ge & Yapan Liu & Na Li & Ying Wang, 2022. "Evolution of Global Crude Oil Trade Network Structure and Resilience," Sustainability, MDPI, vol. 14(23), pages 1-21, December.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:23:p:16059-:d:990395
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    References listed on IDEAS

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    1. Fagiolo, Giorgio & Reyes, Javier & Schiavo, Stefano, 2008. "On the topological properties of the world trade web: A weighted network analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(15), pages 3868-3873.
    2. Dixit, Vijaya & Verma, Priyanka & Tiwari, Manoj Kumar, 2020. "Assessment of pre and post-disaster supply chain resilience based on network structural parameters with CVaR as a risk measure," International Journal of Production Economics, Elsevier, vol. 227(C).
    3. Matthew O. Jackson & Brian W. Rogers & Yves Zenou, 2017. "The Economic Consequences of Social-Network Structure," Journal of Economic Literature, American Economic Association, vol. 55(1), pages 49-95, March.
    4. Raja Kali & Javier Reyes, 2010. "Financial Contagion On The International Trade Network," Economic Inquiry, Western Economic Association International, vol. 48(4), pages 1072-1101, October.
    5. Henry, Devanandham & Emmanuel Ramirez-Marquez, Jose, 2012. "Generic metrics and quantitative approaches for system resilience as a function of time," Reliability Engineering and System Safety, Elsevier, vol. 99(C), pages 114-122.
    6. Guan, Qing & An, Haizhong, 2017. "The exploration on the trade preferences of cooperation partners in four energy commodities’ international trade: Crude oil, coal, natural gas and photovoltaic," Applied Energy, Elsevier, vol. 203(C), pages 154-163.
    7. Belarmino Adenso-Díaz & Julio Mar-Ortiz & Sebastián Lozano, 2018. "Assessing supply chain robustness to links failure," International Journal of Production Research, Taylor & Francis Journals, vol. 56(15), pages 5104-5117, August.
    8. Luca De Benedictis & Lucia Tajoli, 2011. "The World Trade Network," The World Economy, Wiley Blackwell, vol. 34(8), pages 1417-1454, August.
    9. Zhong, Weiqiong & An, Haizhong & Gao, Xiangyun & Sun, Xiaoqi, 2014. "The evolution of communities in the international oil trade network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 413(C), pages 42-52.
    10. An, Haizhong & Zhong, Weiqiong & Chen, Yurong & Li, Huajiao & Gao, Xiangyun, 2014. "Features and evolution of international crude oil trade relationships: A trading-based network analysis," Energy, Elsevier, vol. 74(C), pages 254-259.
    11. Rudolfs Bems & Robert C. Johnson & Kei-Mu Yi, 2011. "Vertical Linkages and the Collapse of Global Trade," American Economic Review, American Economic Association, vol. 101(3), pages 308-312, May.
    12. Ahmadian, Navid & Lim, Gino J. & Cho, Jaeyoung & Bora, Selim, 2020. "A quantitative approach for assessment and improvement of network resilience," Reliability Engineering and System Safety, Elsevier, vol. 200(C).
    13. K. Bhattacharya & G. Mukherjee & J. Saramaki & K. Kaski & S. S. Manna, 2007. "The International Trade Network: weighted network analysis and modelling," Papers 0707.4343, arXiv.org, revised Mar 2008.
    14. Raja Kali & Javier Reyes, 2007. "The architecture of globalization: a network approach to international economic integration," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 38(4), pages 595-620, July.
    15. D. Garlaschelli & M. I. Loffredo, 2004. "Fitness-dependent topological properties of the World Trade Web," Papers cond-mat/0403051, arXiv.org, revised Oct 2004.
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