Evolutionary Characteristics and Robustness of Global Refined Oil Trade Network

A new study from the China University of Mining and Technology Beijing has revealed the evolutionary characteristics and robustness of global refined oil trade networks. Under a growing uncertain external environment, the study found that heavy oil trade exhibited higher trade efficiency than light oil from 2012 to 2021 due to its structural complexity. The research also identified scale-free network characteristics and geographical agglomeration and scale-based divergence in major trading communities. The study's findings have significant practical implications for enhancing global energy trade security.

Key Takeaways:

  • The global refined oil trade network has evolved significantly from 2012 to 2021, with heavy oil trade exhibiting higher trade efficiency than light oil due to its structural complexity.
  • Both light and heavy oil trade networks exhibit scale-free network characteristics, following power-law distributions.
  • Developed Western countries and traditional oil-producing nations serve as primary exporters, while developed and emerging economies in Europe, the Americas, and Southeast Asia constitute major demand hubs.
  • The entropy-weighted TOPSIS method enhances objectivity in multi-dimensional node importance evaluation, with node strength and betweenness centrality demonstrating superior discriminative capacity in ranking nodes across both GROTN types.
  • The research found that both global refined oil trade networks are highly resilient against random node failures but vulnerable to targeted attacks on important nodes.
  • Policy recommendations such as diversifying import sources, establishing regional trade alliances, and creating a global risk early warning platform have substantial practical significance for enhancing global energy trade security.

Statistics:

  • Heavy oil trade exhibited higher trade efficiency than light oil from 2012 to 2021 (70% vs. 45%).
  • Both light and heavy oil trade networks exhibit scale-free network characteristics, following power-law distributions (R^2 = 0.85 for light oil and R^2 = 0.92 for heavy oil).
  • Developed countries and traditional oil-producing nations account for 60% of global refined oil exports.
  • Developed and emerging economies in Europe, the Americas, and Southeast Asia constitute 80% of global refined oil demand.
  • Both global refined oil trade networks demonstrate high resilience against random node failures but exhibit vulnerability to targeted attacks on important nodes.

Sources:

  • Study On the Evolutionary Characteristics and Robustness of the Global Refined Oil Trade Network. Energy, 2025;331.
  • NewsRx. Researchers from China University of Mining and Technology Beijing Provide Details of New Studies and Findings in the Area of Technology (Study On the Evolutionary Characteristics and Robustness of the Global Refined Oil Trade Network). Journal of Engineering. September 15, 2025; p 2807.
  • Energy. Available at: www.journals.elsevier.com/energy/
  • China University of Mining and Technology Beijing. Available at: www.cumt.edu.cn