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Finding Global Liquefied Natural Gas Potential Trade Relations Based on Improved Link Prediction

Author

Listed:
  • Yuping Jin

    (College of Transport & Communications, Shanghai Maritime University, Shanghai 201306, China)

  • Yanbin Yang

    (College of Transport & Communications, Shanghai Maritime University, Shanghai 201306, China)

  • Wei Liu

    (College of Transport & Communications, Shanghai Maritime University, Shanghai 201306, China)

Abstract

Unstable factors such as international relations, geopolitics, and transportation routes make natural gas trade complex and changeable. Diversified and flexible sources of liquefied natural gas (LNG) can guarantee the energy supply security of natural gas-consuming countries. Therefore, it is very important to find potential natural gas trade links to help the government find potential partners and prepare strategically in advance. In this paper, the global LNG network is taken as the research object. In order to fully consider the importance of nodes and the influence of economic and political factors, the “centrality degree” and “node attraction degree” are added into the link prediction algorithm, and multifactor coupling is carried out. The reliability of the improved algorithm is verified using the area under the curve (AUC) evaluation index, and the prediction results are analyzed. The results are as follows: Trinidad, Russia, Algeria, Nigeria, Angola, and Equatorial Guinea (Eq. Guinea) are more likely to establish new LNG trading relationships with other countries. For all potential trade relationships, potential relations involving the above countries are more likely to be realized within 5 years, while potential relations involving China, India, Japan, and South Korea are more likely to be realized within 2 years. China, India, and South Korea are more likely to import LNG from Algeria, and Taiwan Province is more likely to import LNG from Algeria, Angola, Eq. Guinea, and America. On the basis of the above study, states and governments can give priority to the above countries and regions when dealing with the possible LNG supply crisis.

Suggested Citation

  • Yuping Jin & Yanbin Yang & Wei Liu, 2022. "Finding Global Liquefied Natural Gas Potential Trade Relations Based on Improved Link Prediction," Sustainability, MDPI, vol. 14(19), pages 1-22, September.
  • Handle: RePEc:gam:jsusta:v:14:y:2022:i:19:p:12403-:d:929137
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    References listed on IDEAS

    as
    1. Kan, Siyi & Chen, Bin & Meng, Jing & Chen, Guoqian, 2020. "An extended overview of natural gas use embodied in world economy and supply chains: Policy implications from a time series analysis," Energy Policy, Elsevier, vol. 137(C).
    2. J. Magnier, Hamza & Jrad, Asmaa, 2019. "A minimal simplified model for assessing and devising global LNG equilibrium trade portfolios while maximizing energy security," Energy, Elsevier, vol. 173(C), pages 1221-1233.
    3. Andrei Shumilov, 2017. "Estimating Gravity Models of International Trade: A Survey of Methods," HSE Economic Journal, National Research University Higher School of Economics, vol. 21(2), pages 224-260.
    4. Egging, Ruud & Holz, Franziska, 2016. "Risks in global natural gas markets: Investment, hedging and trade," Energy Policy, Elsevier, vol. 94(C), pages 468-479.
    5. Feng, Sida & Li, Huajiao & Qi, Yabin & Guan, Qing & Wen, Shaobo, 2017. "Who will build new trade relations? Finding potential relations in international liquefied natural gas trade," Energy, Elsevier, vol. 141(C), pages 1226-1238.
    6. 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.
    7. Fen Li & Cunyi Yang & Zhenghui Li & Pierre Failler, 2021. "Does Geopolitics Have an Impact on Energy Trade? Empirical Research on Emerging Countries," Sustainability, MDPI, vol. 13(9), pages 1-24, May.
    8. Rasoulinezhad, Ehsan & Sung, Jinsok & Talipova, Amina & Taghizadeh-Hesary, Farhad, 2022. "Analyzing energy trade policy in Central Asia using the intercountry trade force approach," Economic Analysis and Policy, Elsevier, vol. 73(C), pages 441-454.
    9. Cai Gao & Xin Lan & Xiaoge Zhang & Yong Deng, 2013. "A Bio-Inspired Methodology of Identifying Influential Nodes in Complex Networks," PLOS ONE, Public Library of Science, vol. 8(6), pages 1-11, June.
    10. Barnes, Ryan & Bosworth, Ryan, 2015. "LNG is linking regional natural gas markets: Evidence from the gravity model," Energy Economics, Elsevier, vol. 47(C), pages 11-17.
    11. Li, Jiaman & Dong, Xiucheng & Jiang, Qingzhe & Dong, Kangyin & Liu, Guixian, 2021. "Natural gas trade network of countries and regions along the belt and road: Where to go in the future?," Resources Policy, Elsevier, vol. 71(C).
    12. Guan, Qing & An, Haizhong & Gao, Xiangyun & Huang, Shupei & Li, Huajiao, 2016. "Estimating potential trade links in the international crude oil trade: A link prediction approach," Energy, Elsevier, vol. 102(C), pages 406-415.
    13. Yu, Jiating & Wu, Ling-Yun, 2022. "Multiple Order Local Information model for link prediction in complex networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 600(C).
    14. Xuanru Zhou & Hua Zhang & Shuxian Zheng & Wanli Xing & Pei Zhao & Haiying Li, 2022. "The Crude Oil International Trade Competition Networks: Evolution Trends and Estimating Potential Competition Links," Energies, MDPI, vol. 15(7), pages 1-20, March.
    15. Umar, Muhammad & Riaz, Yasir & Yousaf, Imran, 2022. "Impact of Russian-Ukraine war on clean energy, conventional energy, and metal markets: Evidence from event study approach," Resources Policy, Elsevier, vol. 79(C).
    16. 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.
    17. Wang, Wenya & Fan, L.W. & Zhou, P., 2022. "Evolution of global fossil fuel trade dependencies," Energy, Elsevier, vol. 238(PC).
    18. Liu, Sen & Dong, Zhiliang & Ding, Chao & Wang, Tian & Zhang, Yichi, 2020. "Do you need cobalt ore? Estimating potential trade relations through link prediction," Resources Policy, Elsevier, vol. 66(C).
    19. Farag, Markos & Zaki, Chahir, 2021. "On the Determinants of Trade in Natural Gas: A Political Economy Approach," EWI Working Papers 2021-8, Energiewirtschaftliches Institut an der Universitaet zu Koeln (EWI).
    20. Chen, Jiandong & Xie, Qiaoli & Shahbaz, Muhammad & Song, Malin & Li, Li, 2022. "Impact of bilateral trade on fossil energy consumption in BRICS: An extended decomposition analysis," Economic Modelling, Elsevier, vol. 106(C).
    21. 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.
    22. Bin Wang & Wanghao Guan & Yuxuan Sheng & Jinfang Sheng & Jinying Dai & Junkai Zhang & Qiong Li & Qiangqiang Dong & Long Chen, 2021. "A novel measure for influence nodes across complex networks based on node attraction," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 32(01), pages 1-19, January.
    23. Ning Lin & Robert E. Brooks, 2021. "Global Liquified Natural Gas Trade under Energy Transition," Energies, MDPI, vol. 14(20), pages 1-30, October.
    24. 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.
    25. Chen, Jiandong & Yu, Jie & Ai, Bowei & Song, Malin & Hou, Wenxuan, 2019. "Determinants of global natural gas consumption and import–export flows," Energy Economics, Elsevier, vol. 83(C), pages 588-602.
    26. Murat Emikönel, 2022. "The Impact of International Organizations on Chinese Trade as the Determiner of Trade: The Gravity Model Approach," Chinese Economy, Taylor & Francis Journals, vol. 55(1), pages 26-40, January.
    27. Lv, Laishui & Bardou, Dalal & Hu, Peng & Liu, Yanqiu & Yu, Gaohang, 2022. "Graph regularized nonnegative matrix factorization for link prediction in directed temporal networks using PageRank centrality," Chaos, Solitons & Fractals, Elsevier, vol. 159(C).
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