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Research on the Trade Characteristics of Conventional Energy Network Countries: Based on the Trade Characteristics of Leading Countries

Author

Listed:
  • Peixiang Jiang

    (School of Urban Geology and Engineering, Hebei GEO University, Shijiazhuang 050031, China)

  • Chao Ding

    (School of Management, Hebei GEO University, Shijiazhuang 050031, China
    Strategy and Management Base of Mineral Resources in Hebei Province, Hebei GEO University, Shijiazhuang 050031, China)

  • Zhiliang Dong

    (Strategy and Management Base of Mineral Resources in Hebei Province, Hebei GEO University, Shijiazhuang 050031, China)

  • Sen Liu

    (Comprehensive Experimental Center, Hebei University, Baoding 071002, China)

  • Yichi Zhang

    (School of Management, Hebei GEO University, Shijiazhuang 050031, China)

Abstract

To study the trade characteristics and important trends of leading countries in conventional energy networks, this paper uses trade data on coal, oil and natural gas based on complex network theory; constructs a comprehensive directed weighted network; and analyzes the trade relations, trade volume, betweenness centrality and trade groups of China, the United States, Russia and Saudi Arabia. The results show that import and export trade relations exhibit the characteristics of power-law distribution, but the four countries are developing toward diversified trading partners. The United States has the greatest advantage in obtaining conventional energy and has the strongest control over energy. China’s advantage in obtaining conventional energy shows a downward trend, but its control over energy is second only to the United States. Saudi Arabia has the least advantage in obtaining energy and the weakest control, and it is an energy supplier. Russia’s trading bloc is the most stable. These four countries played a leading role in their trade bloc in most years.

Suggested Citation

  • Peixiang Jiang & Chao Ding & Zhiliang Dong & Sen Liu & Yichi Zhang, 2022. "Research on the Trade Characteristics of Conventional Energy Network Countries: Based on the Trade Characteristics of Leading Countries," Sustainability, MDPI, vol. 14(24), pages 1-18, December.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:24:p:16966-:d:1007035
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    References listed on IDEAS

    as
    1. Yichi Zhang & Zhiliang Dong & Sen Liu & Peixiang Jiang & Cuizhi Zhang & Chao Ding, 2021. "Forecast of International Trade of Lithium Carbonate Products in Importing Countries and Small-Scale Exporting Countries," Sustainability, MDPI, vol. 13(3), pages 1-23, January.
    2. Lu, Weiwei & Su, Meirong & Zhang, Yan & Yang, Zhifeng & Chen, Bin & Liu, Gengyuan, 2014. "Assessment of energy security in China based on ecological network analysis: A perspective from the security of crude oil supply," Energy Policy, Elsevier, vol. 74(C), pages 406-413.
    3. Holz, Franziska & von Hirschhausen, Christian & Kemfert, Claudia, 2008. "A strategic model of European gas supply (GASMOD)," Energy Economics, Elsevier, vol. 30(3), pages 766-788, May.
    4. Mark A. Beltramo & Alan S. Manne & John P. Weyant, 1986. "A North American Gas Trade Model (GTM)," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3), pages 15-32.
    5. 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.
    6. Liu, sen & Dong, Zhiliang, 2019. "Who will trade bauxite with whom? Finding potential links through link prediction," Resources Policy, Elsevier, vol. 63(C), pages 1-1.
    7. 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.
    8. Li, Xiang & Ying Jin, Yu & Chen, Guanrong, 2003. "Complexity and synchronization of the World trade Web," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 328(1), pages 287-296.
    9. Gijsbert Zwart & Machiel Mulder, 2006. "NATGAS: a model of the European natural gas market," CPB Memorandum 144, CPB Netherlands Bureau for Economic Policy Analysis.
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