Open AccessThe Research on Factors Which Affect Anti-dumping Investigation: Based on Probit Model
Author(s) -
Rou Li
Publication year - 2018
Publication title -
international journal of business and management
Language(s) - English
Resource type - Journals
eISSN - 1833-8119
pISSN - 1833-3850
DOI - 10.5539/ijbm.v13n3p252
Subject(s) - dumping , margin (machine learning) , ordered probit , probit model , accession , china , affect (linguistics) , economics , probit , per capita , international economics , population , international trade , econometrics , demographic economics , european union , geography , demography , linguistics , philosophy , archaeology , machine learning , sociology , computer science
Using country-industry data, this study investigates factors which affect anti-dumping investigation via Probit model. We find that with the increase of trade, GDP per capita, population, exchange rate, accession to WTO and the occurrence of financial crisis, China more likely suffer from anti-dumping investigationwhile with the increase of distance, China less likely suffer from anti-dumping investigation. Further, after divided the export into extensive margin and intensive margin, we find that the negative effect of trade on anti-dumping investigation mainly comes from the increase of intensive margin. The increases of extensive margin may reduce the chances of suffering from anti-dumping investigation.