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자료유형
학술저널
저자정보
저널정보
한국경제연구학회 Korea and the World Economy The Journal of the Korean Economy Vol.8 No.2
발행연도
2007.11
수록면
377 - 395 (19page)

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초록· 키워드

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The two ways to penetrate a foreign market are exports and FDI (Foreign Direct Investment). Both channels are important for Korean firms to sell products in the Chinese market. There is increasing concern in Korea that FDI into China is substituting Korean exports to China causing the fear of the ‘hollowing-out’ of Korean export industries. It is also claimed that Korean FDI into China would eventually induce more exports from Korea to China. The first objective of this paper is to examine which hypothesis is true using quarterly data of Korea-China FDI and exports from 1992 to 2005. To find causal relationship between FDI and export, Granger causality tests using a modified Wald test are carried out. Empirical study based on manufacturing industry data concludes that exports have influenced FDI from Korea to China during the given period. Secondly, the authors have decomposed the manufacturing industry into labor-intensive and capital intensive industries. According to existing literature on the rivalry between export and FDI in penetrating a foreign market it is possible to set up a hypothesis that the labor-intensive industry (which does not require large initial fixed investment cost) would carry out FDI more easily in the early stage of penetration than capital-intensive industry. On the other hand, capital-intensive industry would be more reluctant to make an early commitment of a large scale FDI. Capital-intensive industry would export products first; only after they gain confidence and experience to carry out FDI later. The authors examine these hypotheses, and conclude that the empirical study support the hypotheses. The result of this paper implies that the causal relation between FDI and export has to be examined industry by industry, and the fear of ‘hollowing-out’ varies across industries.

목차

1. INTRODUCTION
2. LITERATURE REVIEW AND HYPOTHESES
3. GRANGER NON-CAUSALITY TESTS
4. EMPIRICAL RESULTS
5. CONCLUSION
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