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Empirical Analysis of Deterministic Factors of Intra-Industry Trade by Kernel Regression

This study investigates the Korea's intra-industry trade with China by using the Korea-China trade data from 1991 to 2008 and analyses empirically the influential factors to Korea's intra-industry trade. The conventional G-L index method is used to estimate Korea's intra-industry trade and, for the analysis of the influential factors to Korea's intra-industry trade, the Kernel regression method instead of OLS regression method is used as a new trial because OLS regression method used to the existing researches can cause many problems. Inter-industry trade was the main phenomenon of the early stage of Korea-China trade but later the portion of intra-industry trade was increased. The portion of vertical intra-industry trade was larger than horizontal intra-industry trade. Intra-industry trade is increased when average market size is bigger; average development stage is higher; and difference of the market sizes of two countries is bigger. Also Korea's intra-industry trade is increased when the difference of factor endowments between two countries is larger.