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Spatiotemporal Evolution and Market Dynamics of the International Liquefied Natural Gas Trade: A Multilevel Network Analysis

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  • Zeyu Hou

    (School of Geography, Nanjing Normal University, Nanjing 210023, China
    Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing 210023, China)

  • Xiaoyu Niu

    (School of Geography, Nanjing Normal University, Nanjing 210023, China
    Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing 210023, China)

  • Zhaoyuan Yu

    (School of Geography, Nanjing Normal University, Nanjing 210023, China
    Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing 210023, China
    Key Laboratory of Virtual Geographic Environment, Ministry of Education, Nanjing Normal University, Nanjing 210023, China)

  • Wei Chen

    (Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
    College of Resource and Environment, University of Chinese Academy of Sciences, Beijing 100049, China)

Abstract

Natural gas is considered a transitional energy source in the transition to clean energy owing to its clean, efficient, and ecologically beneficial properties. The trade of liquefied natural gas (LNG) serves as the backbone of the global natural gas trade and significantly influences the dynamics of the global energy trade system. This paper constructs long-term global LNG trade networks, and explores the spatiotemporal evolution and topological structures of the international LNG trade by utilizing multilevel network analysis methods, to provide insights for comprehensively understanding the market dynamics of the global LNG trade system. The findings indicate the following: (1) The global LNG trade volume shows an overall upward trend, and the global LNG trade network exhibits uneven spatial distribution, clear hierarchical differentiation, and an increasingly complicated structure. Global LNG trade is gradually changing from regionalization to globalization, and the international LNG market is undergoing structural reshaping. (2) The global LNG trade network continues to expand in size and density, and the rapidly growing LNG supply and trade relations are driving the formation of the global natural gas market. (3) Global LNG trade is still in a phase of rapid change, with the global efficiency of the network increasing and then decreasing. The trade network has traditionally been centered on ten countries, including Japan, South Korea, the United States, and Qatar. (4) The global LNG trade network exhibits clear core-periphery structures with considerable polarization effects, and the trade network structure is continuously evolving and is growing unbalanced. Finally, we put forward relevant policy suggestions to promote global LNG trade interconnectivity and enhance environmental protection and respond to global climate change.

Suggested Citation

  • Zeyu Hou & Xiaoyu Niu & Zhaoyuan Yu & Wei Chen, 2023. "Spatiotemporal Evolution and Market Dynamics of the International Liquefied Natural Gas Trade: A Multilevel Network Analysis," Energies, MDPI, vol. 17(1), pages 1-16, December.
  • Handle: RePEc:gam:jeners:v:17:y:2023:i:1:p:228-:d:1311394
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    References listed on IDEAS

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    1. Geng, Jiang-Bo & Ji, Qiang & Fan, Ying, 2014. "A dynamic analysis on global natural gas trade network," Applied Energy, Elsevier, vol. 132(C), pages 23-33.
    2. Xiaoyu Niu & Wei Chen & Nyuying Wang, 2023. "Spatiotemporal Dynamics and Topological Evolution of the Global Crude Oil Trade Network," Energies, MDPI, vol. 16(4), pages 1-18, February.
    3. Mafakheri, Aso & Sulaimany, Sadegh & Mohammadi, Sara, 2023. "Predicting the establishment and removal of global trade relations for import and export of petrochemical products," Energy, Elsevier, vol. 269(C).
    4. Hamed Nikhalat‐Jahromi & Dalila B.M.M. Fontes & Robert A. Cochrane, 2017. "Future liquefied natural gas business structure: a review and comparison of oil and liquefied natural gas sectors," Wiley Interdisciplinary Reviews: Energy and Environment, Wiley Blackwell, vol. 6(4), July.
    5. 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.
    6. 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.
    7. Chen, Zhihua & An, Haizhong & An, Feng & Guan, Qing & Hao, Xiaoqing, 2018. "Structural risk evaluation of global gas trade by a network-based dynamics simulation model," Energy, Elsevier, vol. 159(C), pages 457-471.
    8. 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.
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