Detecting Anti-dumping Circumvention: A Network Approach

Luca Barbaglia*, Christophe Croux, Ines Wilms

*Corresponding author for this work

Research output: Working paper / PreprintWorking paper

Abstract

Despite the increasing integration of the global economic system, anti-dumping measures are a common tool used by governments to protect their national economy. In this paper, we propose a methodology to detect cases of anti-dumping circumvention through re-routing trade via a third country. Based on the observed full network of trade flows, we propose a measure to proxy the evasion of an anti-dumping duty for a subset of trade flows directed to the European Union, and look for possible cases of circumvention of an active anti-dumping duty. Using panel regression, we are able correctly classify 86% of the trade flows, on which an investigation of anti-dumping circumvention has been opened by the European authorities.
Original languageEnglish
PublisherCornell University - arXiv
Publication statusPublished - 2022

Publication series

SeriesarXiv.org
Number2207.05394
ISSN2331-8422

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