IDEAS home Printed from https://ideas.repec.org/p/arx/papers/1512.02233.html
   My bibliography  Save this paper

The hidden hyperbolic geometry of international trade: World Trade Atlas 1870-2013

Author

Listed:
  • Guillermo Garc'ia-P'erez
  • Mari'an Bogu~n'a
  • Antoine Allard
  • M. 'Angeles Serrano

Abstract

Here, we present the World Trade Atlas 1870-2013, a collection of annual world trade maps in which distance combines economic size and the different dimensions that affect international trade beyond mere geography. Trade distances, which are based on a gravity model predicting the existence of significant trade channels, are such that the closer countries are in trade space, the greater their chance of becoming connected. The atlas provides us with information regarding the long-term evolution of the international trade system and demonstrates that, in terms of trade, the world is not flat but hyperbolic, as a reflection of its complex architecture. The departure from flatness has been increasing since World War I, meaning that differences in trade distances are growing and trade networks are becoming more hierarchical. Smaller-scale economies are moving away from other countries except for the largest economies; meanwhile those large economies are increasing their chances of becoming connected worldwide. At the same time, Preferential Trade Agreements do not fit in perfectly with natural communities within the trade space and have not necessarily reduced internal trade barriers. We discuss an interpretation in terms of globalization, hierarchization, and localization; three simultaneous forces that shape the international trade system.

Suggested Citation

  • Guillermo Garc'ia-P'erez & Mari'an Bogu~n'a & Antoine Allard & M. 'Angeles Serrano, 2015. "The hidden hyperbolic geometry of international trade: World Trade Atlas 1870-2013," Papers 1512.02233, arXiv.org, revised May 2016.
  • Handle: RePEc:arx:papers:1512.02233
    as

    Download full text from publisher

    File URL: http://arxiv.org/pdf/1512.02233
    File Function: Latest version
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Dai, Liang & Derudder, Ben & Liu, Xingjian, 2018. "Transport network backbone extraction: A comparison of techniques," Journal of Transport Geography, Elsevier, vol. 69(C), pages 271-281.
    2. Inna Čábelková & Luboš Smutka & Svitlana Rotterova & Olesya Zhytna & Vít Kluger & David Mareš, 2022. "The Sustainability of International Trade: The Impact of Ongoing Military Conflicts, Infrastructure, Common Language, and Economic Wellbeing in Post-Soviet Region," Sustainability, MDPI, vol. 14(17), pages 1-14, August.
    3. Béatrice Dedinger & Paul Girard, 2018. "RICardo World Trade Web, 1834-1938," SciencePo Working papers Main hal-03619636, HAL.
    4. Béatrice Dedinger & Paul Girard, 2018. "RICardo World Trade Web, 1834-1938," Post-Print hal-03619636, HAL.
    5. Robert Jankowski & Antoine Allard & Marián Boguñá & M. Ángeles Serrano, 2023. "The D-Mercator method for the multidimensional hyperbolic embedding of real networks," Nature Communications, Nature, vol. 14(1), pages 1-11, December.
    6. Ortiz, Elisenda & Serrano, M. Ángeles, 2022. "Multiscale voter model on real networks," Chaos, Solitons & Fractals, Elsevier, vol. 165(P2).
    7. Pawanesh Yadav & Charu Sharma & Niteesh Sahni, 2024. "Explaining Indian Stock Market through Geometry of Scale free Networks," Papers 2404.04710, arXiv.org.
    8. Junya Wang & Yi-Jiao Zhang & Cong Xu & Jiaze Li & Jiachen Sun & Jiarong Xie & Ling Feng & Tianshou Zhou & Yanqing Hu, 2024. "Reconstructing the evolution history of networked complex systems," Nature Communications, Nature, vol. 15(1), pages 1-11, December.
    9. Zádor, Zsófia & Zhu, Zhen & Smith, Matthew & Gorgoni, Sara, 2022. "A weighted and normalized Gould–Fernandez brokerage measure," Greenwich Papers in Political Economy 37794, University of Greenwich, Greenwich Political Economy Research Centre.
    10. Paul Girard & Beatrice Dedinger, 2018. "RICardo World Trade Web, 1834-1938," Sciences Po publications info:hdl:2441/6h7io1v56e8, Sciences Po.
    11. Antoine Allard & M Ángeles Serrano, 2020. "Navigable maps of structural brain networks across species," PLOS Computational Biology, Public Library of Science, vol. 16(2), pages 1-20, February.
    12. repec:hal:spmain:info:hdl:2441/6h7io1v56e8k4qtht2cuvjcfa5 is not listed on IDEAS

    More about this item

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    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:arx:papers:1512.02233. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: arXiv administrators (email available below). General contact details of provider: http://arxiv.org/ .

    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.