커넬회귀법을 이용한 산업내무역에 영향을 미치는 요인에 관한 실증분석

• 영문명: Empirical Analysis of Deterministic Factors of Intra-Industry Trade by Kernel Regression
• 발행기관: 한국무역연구원
• 저자명: 최원익(Won-Ick Choi)
• 간행물 정보: 『무역연구』제6권 제2호, 55~72쪽, 전체 18쪽
• 주제분류: 경제경영 > 무역학
• 파일형태: PDF
• 발행일자: 2010.06.30

영문 초록

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.

목차

Abstract

Ⅰ. 서론

Ⅱ. 산업 내 무역에 영향을 미치는 요인 분석에 관한 선행연구

Ⅲ. 이론적 고찰

Ⅳ. 실증 분석 및 결과

Ⅴ. 결론

참고문헌

키워드

Intra-Industry Trade Inter-Industry Trade Country Characteristics Industry Characteristics Kernel Regression