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

被引:2
作者
Jin, Yuping [1 ]
Yang, Yanbin [1 ]
Liu, Wei [1 ]
机构
[1] Shanghai Maritime Univ, Coll Transport & Commun, Shanghai 201306, Peoples R China
关键词
liquefied natural gas; potential trade; link prediction; INTERNATIONAL-TRADE; OIL TRADE; EVOLUTION; NETWORKS; LNG;
D O I
10.3390/su141912403
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
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.
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页数:22
相关论文
共 49 条
  • [1] Integrating node centralities, similarity measures, and machine learning classifiers for link prediction
    Anand, Sameer
    Rahul
    Mallik, Abhishek
    Kumar, Sanjay
    [J]. MULTIMEDIA TOOLS AND APPLICATIONS, 2022, 81 (27) : 38593 - 38621
  • [2] Bakouan M., 2022, THEOR EC LETT, V12, P149, DOI [10.4236/tel.2022.121009, DOI 10.4236/TEL.2022.121009]
  • [3] LNG is linking regional natural gas markets: Evidence from the gravity model
    Barnes, Ryan
    Bosworth, Ryan
    [J]. ENERGY ECONOMICS, 2015, 47 : 11 - 17
  • [4] Global energy flows embodied in international trade: A combination of environmentally extended input-output analysis and complex network analysis
    Chen, B.
    Li, J. S.
    Wu, X. F.
    Han, M. Y.
    Zeng, L.
    Li, Z.
    Chen, G. Q.
    [J]. APPLIED ENERGY, 2018, 210 : 98 - 107
  • [5] Impact of bilateral trade on fossil energy consumption in BRICS: An extended decomposition analysis
    Chen, Jiandong
    Xie, Qiaoli
    Shahbaz, Muhammad
    Song, Malin
    Li, Li
    [J]. ECONOMIC MODELLING, 2022, 106
  • [6] Determinants of global natural gas consumption and import-export flows
    Chen, Jiandong
    Yu, Jie
    Ai, Bowei
    Song, Malin
    Hou, Wenxuan
    [J]. ENERGY ECONOMICS, 2019, 83 : 588 - 602
  • [7] STUDY ON THE CHARACTERISTICS OF INTERNATIONAL COAL TRADE ON COMPLEX NETWORK
    Chen, Xiaoci
    Tan, Zhanglu
    Li, Siwen
    [J]. JOURNAL OF BUSINESS ECONOMICS AND MANAGEMENT, 2022, 23 (04) : 797 - 817
  • [8] Link prediction in dynamic networks based on the attraction force between nodes
    Chi, Kuo
    Yin, Guisheng
    Dong, Yuxin
    Dong, Hongbin
    [J]. KNOWLEDGE-BASED SYSTEMS, 2019, 181
  • [9] A complex network perspective on interrelations and evolution features crossMark of international oil trade, 2002-2013
    Du, Ruijin
    Wang, Ya
    Dong, Gaogao
    Tian, Lixin
    Liu, Yixiao
    Wang, Minggang
    Fang, Guochang
    [J]. APPLIED ENERGY, 2017, 196 : 142 - 151
  • [10] Risks in global natural gas markets: Investment, hedging and trade
    Egging, Ruud
    Holz, Franziska
    [J]. ENERGY POLICY, 2016, 94 : 468 - 479