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Evolution of global fossil fuel trade dependencies

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  • Wang, Wenya
  • Fan, L.W.
  • Zhou, P.

Abstract

Trade relationships contribute greatly to energy security and trade efficiency, which are increasing vital in energy trade. Thus, trade relationships are worthy of further investigation, especially in relation to fossil fuels trade (including coal, crude oil, and natural gas), due to their high share of the global energy trade. To deeply reveal the trade relationships in fossil fuel trade, this paper contributes to investigate its dynamic dependencies. The point-wise mutual information method was applied to quantify fossil fuel trade dependencies, and the complex networks method was used to analyze the communities in the fossil fuel trade dependency network. The modeling results show that China and Japan had high trade dependencies with Turkmenistan, Kazakhstan, and Uzbekistan in importing natural gas. There is great market space in South America region as for the USA's oil trade. Countries such as China, Australia, the United Kingdom, the Russian Federation, and Germany, which are leading members in each community, can play leadership roles in addressing the climate-trade dilemma. It is suggested that the leading countries in the communities play leadership roles and exert their great influence in the communities to address specific issues, such as solving the climate-trade dilemma.

Suggested Citation

  • Wang, Wenya & Fan, L.W. & Zhou, P., 2022. "Evolution of global fossil fuel trade dependencies," Energy, Elsevier, vol. 238(PC).
    • Handle: RePEc:eee:energy:v:238:y:2022:i:pc:s0360544221021721
    DOI: 10.1016/j.energy.2021.121924
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    as
    1. 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.
    2. Qudrat-Ullah, Hassan & Seong, Baek Seo, 2010. "How to do structural validity of a system dynamics type simulation model: The case of an energy policy model," Energy Policy, Elsevier, vol. 38(5), pages 2216-2224, May.
    3. Wang, Wenya & Li, Zhenfu & Cheng, Xin, 2019. "Evolution of the global coal trade network: A complex network analysis," Resources Policy, Elsevier, vol. 62(C), pages 496-506.
    4. Zhong, Weiqiong & An, Haizhong & Shen, Lei & Fang, Wei & Gao, Xiangyun & Dong, Di, 2017. "The roles of countries in the international fossil fuel trade: An emergy and network analysis," Energy Policy, Elsevier, vol. 100(C), pages 365-376.
    5. Hassan Qudrat-Ullah, 2008. "Behaviour validity of a simulation model for sustainable development," International Journal of Management and Decision Making, Inderscience Enterprises Ltd, vol. 9(2), pages 129-140.
    6. Paulus, Moritz & Trüby, Johannes, 2011. "Coal lumps vs. electrons: How do Chinese bulk energy transport decisions affect the global steam coal market?," Energy Economics, Elsevier, vol. 33(6), pages 1127-1137.
    7. Zhu Liu & Steven J. Davis & Kuishuang Feng & Klaus Hubacek & Sai Liang & Laura Diaz Anadon & Bin Chen & Jingru Liu & Jinyue Yan & Dabo Guan, 2016. "Targeted opportunities to address the climate–trade dilemma in China," Nature Climate Change, Nature, vol. 6(2), pages 201-206, February.
    8. Song, Yunting & Wang, Nuo, 2019. "Exploring temporal and spatial evolution of global coal supply-demand and flow structure," Energy, Elsevier, vol. 168(C), pages 1073-1080.
    9. Riker, David A., 2012. "International coal trade and restrictions on coal consumption," Energy Economics, Elsevier, vol. 34(4), pages 1244-1249.
    10. Hao, Xiaoqing & An, Haizhong & Sun, Xiaoqi & Zhong, Weiqiong, 2018. "The import competition relationship and intensity in the international iron ore trade: From network perspective," Resources Policy, Elsevier, vol. 57(C), pages 45-54.
    11. Zhang, Hai-Ying & Ji, Qiang & Fan, Ying, 2014. "Competition, transmission and pattern evolution: A network analysis of global oil trade," Energy Policy, Elsevier, vol. 73(C), pages 312-322.
    12. Chengjin Wang & César Ducruet, 2014. "Transport corridors and regional balance in China: the case of coal trade and logistics," Post-Print halshs-01069149, HAL.
    13. Gao, Cuixia & Sun, Mei & Shen, Bo, 2015. "Features and evolution of international fossil energy trade relationships: A weighted multilayer network analysis," Applied Energy, Elsevier, vol. 156(C), pages 542-554.
    14. Rioux, Bertrand & Galkin, Philipp & Murphy, Frederic & Pierru, Axel, 2016. "Economic impacts of debottlenecking congestion in the Chinese coal supply chain," Energy Economics, Elsevier, vol. 60(C), pages 387-399.
    15. Ritz, Robert A., 2014. "Price discrimination and limits to arbitrage: An analysis of global LNG markets," Energy Economics, Elsevier, vol. 45(C), pages 324-332.
    16. Zhang, L.P. & Zhou, P., 2018. "A non-compensatory composite indicator approach to assessing low-carbon performance," European Journal of Operational Research, Elsevier, vol. 270(1), pages 352-361.
    17. Iapadre, P. Lelio & Tajoli, Lucia, 2014. "Emerging countries and trade regionalization. A network analysis," Journal of Policy Modeling, Elsevier, vol. 36(S1), pages 89-110.
    18. Haftendorn, C. & Kemfert, C. & Holz, F., 2012. "What about coal? Interactions between climate policies and the global steam coal market until 2030," Energy Policy, Elsevier, vol. 48(C), pages 274-283.
    19. Kharrazi, Ali & Fath, Brian D., 2016. "Measuring global oil trade dependencies: An application of the point-wise mutual information method," Energy Policy, Elsevier, vol. 88(C), pages 271-277.
    20. Umbach, Frank, 2010. "Global energy security and the implications for the EU," Energy Policy, Elsevier, vol. 38(3), pages 1229-1240, March.
    21. Eser, P. & Chokani, N. & Abhari, R., 2018. "Trade-offs between integration and isolation in Switzerland's energy policy," Energy, Elsevier, vol. 150(C), pages 19-27.
    22. 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.
    23. Song, Zhouying & Zhu, Qiaoling & Han, Mengyao, 2021. "Tele-connection of global crude oil network: Comparisons between direct trade and embodied flows," Energy, Elsevier, vol. 217(C).
    24. 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.
    25. Wang, Chengjin & Ducruet, César, 2014. "Transport corridors and regional balance in China: the case of coal trade and logistics," Journal of Transport Geography, Elsevier, vol. 40(C), pages 3-16.
    26. 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.
    27. Wang, Wenya & Li, Zhenfu, 2019. "The evolution of China’s interregional coal trade network, 1997–2016," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 536(C).
    28. Guo, Yingjian & Hawkes, Adam, 2019. "The impact of demand uncertainties and China-US natural gas tariff on global gas trade," Energy, Elsevier, vol. 175(C), pages 205-217.
    29. Zhong, Weiqiong & An, Haizhong & Fang, Wei & Gao, Xiangyun & Dong, Di, 2016. "Features and evolution of international fossil fuel trade network based on value of emergy," Applied Energy, Elsevier, vol. 165(C), pages 868-877.
    30. Chengjin Wang & César Ducruet, 2014. "Transport corridors and regional balance in China : The case of coal trade and logistics," Post-Print hal-03246955, HAL.
    31. 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).
    32. Zhong, Weiqiong & An, Haizhong & Shen, Lei & Dai, Tao & Fang, Wei & Gao, Xiangyun & Dong, Di, 2017. "Global pattern of the international fossil fuel trade: The evolution of communities," Energy, Elsevier, vol. 123(C), pages 260-270.
    33. Chen, B. & Li, J.S. & Wu, X.F. & Han, M.Y. & Zeng, L. & Li, Z. & Chen, G.Q., 2018. "Global energy flows embodied in international trade: A combination of environmentally extended input–output analysis and complex network analysis," Applied Energy, Elsevier, vol. 210(C), pages 98-107.
    34. Fichera, Alberto & Frasca, Mattia & Volpe, Rosaria, 2017. "Complex networks for the integration of distributed energy systems in urban areas," Applied Energy, Elsevier, vol. 193(C), pages 336-345.
    35. An, Qier & Wang, Lang & Qu, Debin & Zhang, Hujun, 2018. "Dependency network of international oil trade before and after oil price drop," Energy, Elsevier, vol. 165(PA), pages 1021-1033.
    36. 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).
    37. Zhu Liu & Steven J. Davis & Kuishuang Feng & Klaus Hubacek & Sai Liang & Anadon, Laura Diaz & Bin Chen & Liu, Jingru & Yan, Jinyue & Dabo Guan, "undated". "Targeted opportunities to address the climate-trade dilemma in China," Working Paper 336456, Harvard University OpenScholar.
    38. Du, Ruijin & Wang, Ya & Dong, Gaogao & Tian, Lixin & Liu, Yixiao & Wang, Minggang & Fang, Guochang, 2017. "A complex network perspective on interrelations and evolution features of international oil trade, 2002–2013," Applied Energy, Elsevier, vol. 196(C), pages 142-151.
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