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Detecting origin fraud with trade data: the case of U.S. honey imports*

Detecting origin fraud with trade data: the case of U.S. honey imports* Following the 2001 U.S. imposition of antidumping tariffs on imported honey from China and Argentina, industry press noted patterns of trade suggesting that honey was being transshipped to circumvent tariffs, origin fraud that was later uncovered in criminal cases. This article presents three approaches that use trade and production data to flag countries for possible instances of origin fraud and then compares these countries with those implicated in criminal cases and media reports. In our preferred empirical method, we also find that countries with higher corruption scores are more likely to show increases in suspicious trade patterns following the tariffs. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png The Australian Journal of Agricultural Resource Economics Wiley

Detecting origin fraud with trade data: the case of U.S. honey imports*

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References (22)

Publisher
Wiley
Copyright
Copyright © 2021 Australian Agricultural and Resource Economics Society Inc.
ISSN
1364-985X
eISSN
1467-8489
DOI
10.1111/1467-8489.12412
Publisher site
See Article on Publisher Site

Abstract

Following the 2001 U.S. imposition of antidumping tariffs on imported honey from China and Argentina, industry press noted patterns of trade suggesting that honey was being transshipped to circumvent tariffs, origin fraud that was later uncovered in criminal cases. This article presents three approaches that use trade and production data to flag countries for possible instances of origin fraud and then compares these countries with those implicated in criminal cases and media reports. In our preferred empirical method, we also find that countries with higher corruption scores are more likely to show increases in suspicious trade patterns following the tariffs.

Journal

The Australian Journal of Agricultural Resource EconomicsWiley

Published: Jan 1, 2021

Keywords: ; ; ; ; ;

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