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Robustness with Adaptation. Ownership Networks of Multinationals through COVID-19

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  • Charlie Joyez

    (Université Côte d'Azur, CNRS, GREDEG, France)

Abstract

We study how COVID-19 a ected the ownership co-location network of French multinationals over 2012-2022. Using INSEE's LiFi, we build annual country-industry co-location networks and assess robustness via topology (density, centralization, assortativity, clustering) and edge survival (Weighted Jaccard). We then test for post-shock shifts in the determinants of dyadic co-location with MRQAP. Three results emerge. First, the network's core is robust: topology shows no discontinuity and centrality persists. Second, adaptation is continuous at the margin: around one-third of edges rewire, concentrated in the periphery while core ties endure. Third, after 2020 the determinants of tie weights change, with a reduced role for gravity-like factors and greater cross-sector rebalancing. Thus the system is structurally robust with active peripheral adjustment. Rather than strict resilience in the sense of a return to the pre-COVID configuration, we observe durable strategic reweighting.

Suggested Citation

  • Charlie Joyez, 2025. "Robustness with Adaptation. Ownership Networks of Multinationals through COVID-19," GREDEG Working Papers 2025-46, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France.
  • Handle: RePEc:gre:wpaper:2025-46
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    Keywords

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    JEL classification:

    • F02 - International Economics - - General - - - International Economic Order and Integration
    • F23 - International Economics - - International Factor Movements and International Business - - - Multinational Firms; International Business
    • F60 - International Economics - - Economic Impacts of Globalization - - - General
    • C4 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics

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