Research on early warning system for antidumping petition: based on panel data logit model

Hongjin Xiang, Feng Zongxian and Liu Xuyuan

Journal of Chinese Economic and Foreign Trade Studies, 2011, vol. 4, issue 3, 158-172

Abstract: Purpose - Based on the American antidumping cases against China, the purpose of this paper is to construct an early warning model for Chinese exports. Design/methodology/approach - In order to overcome the drawbacks of the existing early warning models for antidumping, first, the authors screen out six most relevant indices that play a key role in US textile corporations' decision of antidumping petition against China from 2002 to 2006, then design a early warning system for antidumping petition based on panel data logit model. Findings - The regression result indicates that unemployment ratio and import‐penetration ratio significantly influence the antidumping filing decisions; when the other invariables keep the same, with the market share of China textile goods increasing by 1 per cent point, the odds ratio of antidumping petitions against China textiles increases by about 3.7 per cent. Originality/value - As far as the authors are aware there is no definite research yet about early warning system of antidumping events, and this paper aims to specifically address this issue.

Keywords: China; United States of America; Exports; Textile industry; Antidumping petition; Early‐warning system; Logit model; Odds ratio (search for similar items in EconPapers)
Date: 2011
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Persistent link: https://EconPapers.repec.org/RePEc:eme:jcefts:v:4:y:2011:i:3:p:158-172

DOI: 10.1108/17544401111178203

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