IDEAS home Printed from https://ideas.repec.org/a/eee/chsofr/v154y2022ics096007792100967x.html
   My bibliography  Save this article

An analysis of the global fuel-trading market based on the visibility graph approach

Author

Listed:
  • Hu, Jun
  • Zhang, Yujie
  • Wu, Peng
  • Li, Huijia

Abstract

Fuel is the cornerstone of a nation’s economy, and energy policy is a crucial part of national security. Therefore, it is very important to model and analyze the fuel trade. In this paper, a dynamic system by a visibility graph model is constructed to analyze time series data from the global fuel export trade. This paper analyses the fuel export trade of various countries, and the characteristics of fuel trade in different countries are identified by the visibility graph. According to the characteristics of the fuel export time series network, the examined countries are categorized, and the global fuel export market is divided into three groups. It has important guiding significance for understanding the global fuel market and formulating scientific fuel security policies.

Suggested Citation

  • Hu, Jun & Zhang, Yujie & Wu, Peng & Li, Huijia, 2022. "An analysis of the global fuel-trading market based on the visibility graph approach," Chaos, Solitons & Fractals, Elsevier, vol. 154(C).
  • Handle: RePEc:eee:chsofr:v:154:y:2022:i:c:s096007792100967x
    DOI: 10.1016/j.chaos.2021.111613
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S096007792100967X
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.chaos.2021.111613?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Giorgio Fagiolo & Javier Reyes & Stefano Schiavo, 2010. "The evolution of the world trade web: a weighted-network analysis," Journal of Evolutionary Economics, Springer, vol. 20(4), pages 479-514, August.
    2. AydIn, Levent & Acar, Mustafa, 2011. "Economic impact of oil price shocks on the Turkish economy in the coming decades: A dynamic CGE analysis," Energy Policy, Elsevier, vol. 39(3), pages 1722-1731, March.
    3. Sato, Misato & Singer, Gregor & Dussaux, Damien & Lovo, Stefania, 2019. "International and sectoral variation in industrial energy prices 1995–2015," Energy Economics, Elsevier, vol. 78(C), pages 235-258.
    4. Pereira, Alfredo M. & Pereira, Rui M., 2014. "On the environmental, economic and budgetary impacts of fossil fuel prices: A dynamic general equilibrium analysis of the Portuguese case," Energy Economics, Elsevier, vol. 42(C), pages 248-261.
    5. Wenming Shi & Zhongzhi Yang & Kevin X. Li, 2013. "The impact of crude oil price on the tanker market," Maritime Policy & Management, Taylor & Francis Journals, vol. 40(4), pages 309-322, July.
    6. Kashcheeva, Mila, 2013. "Political limits on the world oil trade : firm-level evidence from US firms," IDE Discussion Papers 401, Institute of Developing Economies, Japan External Trade Organization(JETRO).
    7. Zhang, Hai-Ying & Ji, Qiang & Fan, Ying, 2014. "Competition, transmission and pattern evolution: A network analysis of global oil trade," Energy Policy, Elsevier, vol. 73(C), pages 312-322.
    8. Zhang, Hai-Ying & Ji, Qiang & Fan, Ying, 2013. "An evaluation framework for oil import security based on the supply chain with a case study focused on China," Energy Economics, Elsevier, vol. 38(C), pages 87-95.
    9. Tingvall, Patrik Gustavsson & Ljungwall, Christer, 2012. "Is China different? A meta-analysis of export-led growth," Economics Letters, Elsevier, vol. 115(2), pages 177-179.
    10. Gonçalves, Bruna Amin & Carpi, Laura & Rosso, Osvaldo A. & Ravetti, Martín G. & Atman, A.P.F., 2019. "Quantifying instabilities in Financial Markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 525(C), pages 606-615.
    11. Atiq Siddiqui & Manish Verma, 2013. "An Expected Consequence Approach to Route Choice in the Maritime Transportation of Crude Oil," Risk Analysis, John Wiley & Sons, vol. 33(11), pages 2041-2055, November.
    12. An, Haizhong & Zhong, Weiqiong & Chen, Yurong & Li, Huajiao & Gao, Xiangyun, 2014. "Features and evolution of international crude oil trade relationships: A trading-based network analysis," Energy, Elsevier, vol. 74(C), pages 254-259.
    13. Li, Xiang & Ying Jin, Yu & Chen, Guanrong, 2003. "Complexity and synchronization of the World trade Web," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 328(1), pages 287-296.
    14. Sergey Mityakov & Heiwai Tang & Kevin K. Tsui, 2011. "Geopolitics, Global Patterns of Oil Trade, and China¡¦s Oil Security Quest," Working Papers 322011, Hong Kong Institute for Monetary Research.
    15. Raja Kali & Javier Reyes, 2007. "The architecture of globalization: a network approach to international economic integration," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 38(4), pages 595-620, July.
    16. Edward J. Balistreri & Ayed Al-Qahtani & Carol A. Dahl, 2010. "Oil and Petroleum Product Armington Elasticities: A New-Geography-of-Trade Approach to Estimation," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3), pages 167-180.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Chafi, Mohammadreza Shafiee & Narm, Hossein Gholizade & Kalat, Ali Akbarzadeh, 2023. "Chaotic and stochastic evaluation in Fluxgate magnetic sensors," Chaos, Solitons & Fractals, Elsevier, vol. 176(C).
    2. Schmidt, Jonas & Köhne, Daniel, 2023. "A simple scalable linear time algorithm for horizontal visibility graphs," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 616(C).
    3. Han, Mengjiao & Fan, Qingju & Ling, Guang, 2022. "Multiscale online-horizontal-visibility-graph correlation analysis of financial market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 607(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Qing Guan & Haizhong An & Xiaoqing Hao & Xiaoliang Jia, 2016. "The Impact of Countries’ Roles on the International Photovoltaic Trade Pattern: The Complex Networks Analysis," Sustainability, MDPI, vol. 8(4), pages 1-16, March.
    2. Liu, Litao & Cao, Zhi & Liu, Xiaojie & Shi, Lei & Cheng, Shengkui & Liu, Gang, 2020. "Oil security revisited: An assessment based on complex network analysis," Energy, Elsevier, vol. 194(C).
    3. An, Haizhong & Zhong, Weiqiong & Chen, Yurong & Li, Huajiao & Gao, Xiangyun, 2014. "Features and evolution of international crude oil trade relationships: A trading-based network analysis," Energy, Elsevier, vol. 74(C), pages 254-259.
    4. 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.
    5. Li, Huajiao & An, Haizhong & Liu, Xueyong & Gao, Xiangyun & Fang, Wei & An, Feng, 2016. "Price fluctuation in the energy stock market based on fluctuation and co-fluctuation matrix transmission networks," Energy, Elsevier, vol. 117(P1), pages 73-83.
    6. 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.
    7. Rosanna Grassi & Paolo Bartesaghi & Stefano Benati & Gian Paolo Clemente, 2021. "Multi-Attribute Community Detection in International Trade Network," Networks and Spatial Economics, Springer, vol. 21(3), pages 707-733, September.
    8. Paolo Bartesaghi & Gian Paolo Clemente & Rosanna Grassi, 2020. "Community structure in the World Trade Network based on communicability distances," Papers 2001.06356, arXiv.org, revised Jul 2020.
    9. Hou, Wenyu & Liu, Huifang & Wang, Hui & Wu, Fengyang, 2018. "Structure and patterns of the international rare earths trade: A complex network analysis," Resources Policy, Elsevier, vol. 55(C), pages 133-142.
    10. Hübler, Michael, 2016. "A new trade network theory: What economists can learn from engineers," Economic Modelling, Elsevier, vol. 55(C), pages 115-126.
    11. Sun, Qingru & Gao, Xiangyun & Zhong, Weiqiong & Liu, Nairong, 2017. "The stability of the international oil trade network from short-term and long-term perspectives," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 482(C), pages 345-356.
    12. Xibo Wang & Jianping Ge & Wendong Wei & Hanshi Li & Chen Wu & Ge Zhu, 2016. "Spatial Dynamics of the Communities and the Role of Major Countries in the International Rare Earths Trade: A Complex Network Analysis," PLOS ONE, Public Library of Science, vol. 11(5), pages 1-22, May.
    13. Wen-Jie Xie & Na Wei & Wei-Xing Zhou, 2020. "Evolving efficiency and robustness of global oil trade networks," Papers 2004.05325, arXiv.org.
    14. Liu, Linqing & Shen, Mengyun & Sun, Da & Yan, Xiaofei & Hu, Shi, 2022. "Preferential attachment, R&D expenditure and the evolution of international trade networks from the perspective of complex networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 603(C).
    15. Yang, Yu & Poon, Jessie P.H. & Liu, Yi & Bagchi-Sen, Sharmistha, 2015. "Small and flat worlds: A complex network analysis of international trade in crude oil," Energy, Elsevier, vol. 93(P1), pages 534-543.
    16. Julian Maluck & Reik V Donner, 2015. "A Network of Networks Perspective on Global Trade," PLOS ONE, Public Library of Science, vol. 10(7), pages 1-24, July.
    17. Du, Ruijin & Dong, Gaogao & Tian, Lixin & Wang, Yougui & Zhao, Longfeng & Zhang, Xin & Vilela, André L.M. & Stanley, H. Eugene, 2019. "Identifying the peak point of systemic risk in international crude oil importing trade," Energy, Elsevier, vol. 176(C), pages 281-291.
    18. Zhu, Bo & Liu, Jiahao & Lin, Renda & Chevallier, Julien, 2021. "Cross-border systemic risk spillovers in the global oil system: Does the oil trade pattern matter?," Energy Economics, Elsevier, vol. 101(C).
    19. Hao, Xiaoqing, 2023. "Import competition and pressure in the international crude oil trade: A network analysis," Resources Policy, Elsevier, vol. 82(C).
    20. Li, Huajiao & An, Haizhong & Huang, Jiachen & Huang, Xuan & Mou, Songtao & Shi, Yanli, 2016. "The evolutionary stability of shareholders’ co-holding behavior for China’s listed energy companies based on associated maximal connected sub-graphs of derivative holding-based networks," Applied Energy, Elsevier, vol. 162(C), pages 1601-1607.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:chsofr:v:154:y:2022:i:c:s096007792100967x. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Thayer, Thomas R. (email available below). General contact details of provider: https://www.journals.elsevier.com/chaos-solitons-and-fractals .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.