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Estimating global pattern of LNG supply chain: a port-based approach by vessel movement database

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  • Ryuichi Shibasaki
  • Kei Kanamoto
  • Takeshi Suzuki

Abstract

This study estimates the port-based global shipping pattern of liquefied natural gas (LNG) from a vessel movement database. In general, the only information related to global shipping available is the vessel movement database; however, this does not include specifics of the cargo, making detailed estimates of the global shipping of any cargo difficult. Therefore, a method based on information from export and import terminals globally is proposed that allows laden or in-ballast shipping to be estimated separately. The estimated results are confirmed to be in agreement with the observed data in terms of the annual country-based and port-based LNG trade. The estimated shipping patterns are then used to examine the components of the LNG supply chain: liquefaction, maritime shipping, regasification and re-export. The entire capacities of most liquefaction plants are used to export LNG, while regasification terminals generally have additional capacity to meet fluctuations in demand and unexpected contingencies. Route choice competitions in global maritime shipping are partially observed in the Suez Canal route, as well as in the Panama Canal after its expansion.

Suggested Citation

  • Ryuichi Shibasaki & Kei Kanamoto & Takeshi Suzuki, 2020. "Estimating global pattern of LNG supply chain: a port-based approach by vessel movement database," Maritime Policy & Management, Taylor & Francis Journals, vol. 47(2), pages 143-171, February.
    • Handle: RePEc:taf:marpmg:v:47:y:2020:i:2:p:143-171
    DOI: 10.1080/03088839.2019.1657974
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    Cited by:

    1. Agostino Bruzzone & Anna Sciomachen, 2023. "Simulating Operating Performance of Alternative Configurations of LNG Bunkering Stations," Sustainability, MDPI, vol. 15(13), pages 1-18, June.
    2. Dai, Lei & Jing, Danyue & Hu, Hao & Wang, Zhaojing, 2021. "An environmental and techno-economic analysis of transporting LNG via Arctic route," Transportation Research Part A: Policy and Practice, Elsevier, vol. 146(C), pages 56-71.
    3. Kei Kanamoto & Liwen Murong & Minato Nakashima & Ryuichi Shibasaki, 2021. "Can maritime big data be applied to shipping industry analysis? Focussing on commodities and vessel sizes of dry bulk carriers," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 23(2), pages 211-236, June.
    4. Liu, Yan & Shi, Xunpeng & Laurenceson, James, 2020. "Dynamics of Australia's LNG export performance: A modified constant market shares analysis," Energy Economics, Elsevier, vol. 89(C).
    5. Ning Lin & Robert E. Brooks, 2021. "Global Liquified Natural Gas Trade under Energy Transition," Energies, MDPI, vol. 14(20), pages 1-30, October.

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