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The World-Trade Web: Topological Properties, Dynamics, and Evolution

Author

Listed:
  • Giorgio Fagiolo

    (LEM - Laboratory of Economics and Management - Sant'Anna School of Advanced Studies)

  • Javier Reyes

    (Department of Economics - Tilburg University [Netherlands])

  • Stefano Schiavo

    () (OFCE - OFCE - Sciences Po)

Abstract

This paper studies the statistical properties of the web of import-export relationships among world countries using a weighted-network approach. We analyze how the distributions of the most important network statistics measuring connectivity, assortativity, clustering and centrality have co-evolved over time. We show that all node-statistic distributions and their correlation structure have remained surprisingly stable in the last 20 years -- and are likely to do so in the future. Conversely, the distribution of (positive) link weights is slowly moving from a log-normal density towards a power law. We also characterize the autoregressive properties of network-statistics dynamics. We find that network-statistics growth rates are well-proxied by fat-tailed densities like the Laplace or the asymmetric exponential-power. Finally, we find that all our results are reasonably robust to a few alternative, economically-meaningful, weighting schemes.

Suggested Citation

  • Giorgio Fagiolo & Javier Reyes & Stefano Schiavo, 2008. "The World-Trade Web: Topological Properties, Dynamics, and Evolution," Working Papers hal-01066180, HAL.
  • Handle: RePEc:hal:wpaper:hal-01066180
    Note: View the original document on HAL open archive server: https://hal-sciencespo.archives-ouvertes.fr/hal-01066180
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