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Who will build new trade relations? Finding potential relations in international liquefied natural gas trade

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  • Feng, Sida
  • Li, Huajiao
  • Qi, Yabin
  • Guan, Qing
  • Wen, Shaobo

Abstract

Liquefied natural gas (LNG) trade has contributed to de-regionalizing and integrating the total natural gas market with its advantage of flexibility in delivery. While because of this feature, the international trade of LNG is more changeable. Finding potential links in changeable international LNG trade can help the government quickly find a new partner when facing a sudden breakdown of trade relation or an urgent situation to diversify the trade partners. Moreover, the government could adjust its energy strategy in advance by estimating the potential trade relations of present partners. In this study, we find potential trade relations in international LNG trade by combining the trade motivation underlying in the network structure with rules explored from the LNG international trade. The findings are as follows: In the next five years, there is a very high possibility that India, Spain, Netherlands and Singapore will import LNG from USA, and there is a high possibility that Italy will import LNG from the USA. UK may export LNG to Japan and France is likely to export LNG to Rep of Korea. Suggestions about LNG trade according to the findings are offered to governments.

Suggested Citation

  • 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.
  • Handle: RePEc:eee:energy:v:141:y:2017:i:c:p:1226-1238
    DOI: 10.1016/j.energy.2017.09.030
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    References listed on IDEAS

    as
    1. Joel Hinaunye Eita & André C. Jordaan, 2007. "South Africa’s Wood Export Potential Using a Gravity Model Approach," Working Papers 200723, University of Pretoria, Department of Economics.
    2. Geetha Ravishankar & Marie M. Stack, 2014. "The Gravity Model and Trade Efficiency: A Stochastic Frontier Analysis of Eastern European Countries' Potential Trade," The World Economy, Wiley Blackwell, vol. 37(5), pages 690-704, May.
    3. Sherkat, Ehsan & Rahgozar, Maseud & Asadpour, Masoud, 2015. "Structural link prediction based on ant colony approach in social networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 419(C), pages 80-94.
    4. Liu, Nairong & An, Haizhong & Hao, Xiaoqing & Feng, Sida, 2017. "The stability of the international heat pump trade pattern based on complex networks analysis," Applied Energy, Elsevier, vol. 196(C), pages 100-117.
    5. Efe Biresselioglu, Mehmet & Hakan Demir, Muhittin & Kandemir, Cansu, 2012. "Modeling Turkey’s future LNG supply security strategy," Energy Policy, Elsevier, vol. 46(C), pages 144-152.
    6. Anne Neumann, 2009. "Linking Natural Gas Markets - Is LNG Doing its Job?," The Energy Journal, International Association for Energy Economics, vol. 0(Special I), pages 187-200.
    7. 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.
    8. Alexandre Vidmer & An Zeng & Mat'uv{s} Medo & Yi-Cheng Zhang, 2015. "Prediction in complex systems: the case of the international trade network," Papers 1511.05404, arXiv.org.
    9. An, Qier & An, Haizhong & Wang, Lang & Huang, Xuan, 2014. "Structural and regional variations of natural resource production in China based on exergy," Energy, Elsevier, vol. 74(C), pages 67-77.
    10. Jakab, Zoltan M. & Kovacs, Mihaly A. & Oszlay, Andras, 2001. "How Far Has Trade Integration Advanced?: An Analysis of the Actual and Potential Trade of Three Central and Eastern European Countries," Journal of Comparative Economics, Elsevier, vol. 29(2), pages 276-292, June.
    11. Assaf Almog & Tiziano Squartini & Diego Garlaschelli, 2014. "A GDP-driven model for the binary and weighted structure of the International Trade Network," Papers 1409.6649, arXiv.org.
    12. Elhanan Helpman & Marc Melitz & Yona Rubinstein, 2008. "Estimating Trade Flows: Trading Partners and Trading Volumes," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 123(2), pages 441-487.
    13. Lü, Linyuan & Zhou, Tao, 2011. "Link prediction in complex networks: A survey," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(6), pages 1150-1170.
    14. Tao Zhou & Linyuan Lü & Yi-Cheng Zhang, 2009. "Predicting missing links via local information," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 71(4), pages 623-630, October.
    15. 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.
    16. 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.
    17. Marco Dueñas & Giorgio Fagiolo, 2013. "Modeling the International-Trade Network: a gravity approach," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 8(1), pages 155-178, April.
    18. Vidmer, Alexandre & Zeng, An & Medo, Matúš & Zhang, Yi-Cheng, 2015. "Prediction in complex systems: The case of the international trade network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 436(C), pages 188-199.
    Full references (including those not matched with items on IDEAS)

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