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Brexit and Canadadvent: An application of graphs and hypergraphs to recent international trade agreements

Author

Listed:
  • Michela Chessa

    (UniCA - Université Côte d'Azur, GREDEG - Groupe de Recherche en Droit, Economie et Gestion - UNS - Université Nice Sophia Antipolis (1965 - 2019) - CNRS - Centre National de la Recherche Scientifique - UniCA - Université Côte d'Azur)

  • Arnaud Persenda

    (UniCA - Université Côte d'Azur, GREDEG - Groupe de Recherche en Droit, Economie et Gestion - UNS - Université Nice Sophia Antipolis (1965 - 2019) - CNRS - Centre National de la Recherche Scientifique - UniCA - Université Côte d'Azur)

  • Dominique Torre

    (UniCA - Université Côte d'Azur, GREDEG - Groupe de Recherche en Droit, Economie et Gestion - UNS - Université Nice Sophia Antipolis (1965 - 2019) - CNRS - Centre National de la Recherche Scientifique - UniCA - Université Côte d'Azur)

Abstract

This paper uses a network approach to study the relationship between trade agreements and trade flows. For the first time in the literature, hypergraphs are used to capture the topology of trade agreements, while the usual graphs are used to represent trade flows. For our analysis, we focused on a snapshot of data from July 2017, before CETA as an agreement in force only in September 2017. An analysis of modularity conducted on both the trade agreements and the trade flows shows an imperfect correspondence between the communities of countries found within the two networks. Although the motivations of Brexit were multiple and, for the most part, far from commercial concerns, Brexit appears as a way to reconcile the networks of flows and agreements. On the other hand, Canada already belonged to the European cluster of trade agreements before the CETA agreement, which therefore appears only as an ex post confirmation of an existing situation.

Suggested Citation

  • Michela Chessa & Arnaud Persenda & Dominique Torre, 2023. "Brexit and Canadadvent: An application of graphs and hypergraphs to recent international trade agreements," Post-Print halshs-04367894, HAL.
    • Handle: RePEc:hal:journl:halshs-04367894
    DOI: 10.1016/j.inteco.2023.04.005
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    Cited by:

    1. Tsintsaris, Dimitris & Ioannidis, Evangelos, 2025. "Modeling structural power in hypergraphs: An application to the interstate alliances network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 674(C).
    2. Michela Chessa, 2025. "Politics as A (Very) Complex System: A New Methodological Approach to Studying Fragmentation within a Council," GREDEG Working Papers 2025-16, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France.

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    Keywords

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    JEL classification:

    • F10 - International Economics - - Trade - - - General
    • F14 - International Economics - - Trade - - - Empirical Studies of Trade
    • F15 - International Economics - - Trade - - - Economic Integration
    • C69 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Other

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