Structural interactions in global trade
Didier Lebert () and
Alexis Poindron ()
Additional contact information
Didier Lebert: UEA - Unité d'Économie Appliquée - ENSTA - École Nationale Supérieure de Techniques Avancées - IP Paris - Institut Polytechnique de Paris, CRG I3 - Centre de Recherche en Gestion I3 - X - École polytechnique - IP Paris - Institut Polytechnique de Paris - I3 - Institut interdisciplinaire de l’innovation - CNRS - Centre National de la Recherche Scientifique
Alexis Poindron: UEA - Unité d'Économie Appliquée - ENSTA - École Nationale Supérieure de Techniques Avancées - IP Paris - Institut Polytechnique de Paris
Post-Print from HAL
Abstract:
We provide a methodological framework for investigating global trade networks thatdistinguish between categories of goods. We introduce a multi-layer network version of the Lantner diffusion model, in which each layer represents a specific good and each node corresponds to a country. By establishing several mathematical results involving structural alterations of the network, and by leveraging interaction indices, we show how to quantify structural interactions between categories of goods and offer recommendations for decision-makers designing embargoes against target countries.
Keywords: Economic; dominance; ·; Diffusion; ·; Interaction; index; ·; Aggregation; ·; Heterogeneity; ·; Embargoes; ·; Multi-layer; graphs (search for similar items in EconPapers)
Date: 2025-07-28
References: Add references at CitEc
Citations:
Published in Theory and Decision, 2025, ⟨10.1007/s11238-025-10061-z⟩
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:halshs-05190240
DOI: 10.1007/s11238-025-10061-z
Access Statistics for this paper
More papers in Post-Print from HAL
Bibliographic data for series maintained by CCSD ().