[논문]중국 대 한국OFDI 결정요인의 실증분석

대운해

doi:10.15207/jkcs.2020.11.5.191

중국 대 한국OFDI 결정요인의 실증분석
A Study on Determinants of Chinese OFDI to Korea 원문보기

한국융합학회논문지 = Journal of the Korea Convergence Society, v.11 no.5, 2020년, pp.191 - 197

대운해 (남서울대학교 글로벌무역학과)

초록
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OFDI는 전 세계 국가의 경제 발전에 있어 주요한 이슈 중의 하나이다. 2013년 중국 국가주석 시진핑은 아시아-아프리카 국제회의를 참석하여 일대일로를 제안하였다. 그중에서 OFDI (Outward Foreign Direct Investment)는 일대일로의 핵심적 정책이다. 중국 일대일로 정책의 발전, 한중FTA의 심화 및 양국 긴밀한 경제관계의 급속한 발전에 따라서 중국은 한국에 대한 OFDI를 확대해야 할것이다. 본 연구에서는 중국이 한국에 대한 OFDI를 바탕으로 시계열과 횡단면 두 가지 차원을 결합한PANEL의 데이터를 사용하여 OFDI의 결정적 요인을 확인하고자 한다. 실증분석 결과GRDP, HV, YNTL, FWYS, XFZS 등은 중국이 한국에 대한 OFDI의 결정적 요인으로 입증하였다. 또한 실증분석 결과를 바탕으로 한국이 중국의 OFDI를 유치에 대한 시사점을 제공하였다.

Abstract ▼ AI-Helper

OFDI is one of the key issues around the world in the development of economics, in 2013, Chinese President Xi JinPing proposed "One Belt One Road" initiative on conference of Asia-Africa international conference with its core policy as (Outward Foreign Direct Investment).With the steady development of China's "One Belt One Road", further advancement of Korea-China FTA, and rapid expansion of close economic relations between two countries, China is bound to increase OFDI to Korea. The paper empirically studied its determinants of Chinese OFDI to Korea, with PANELDATA data introduced combining time series with cross-section, result shows GRDP, HV, YNTL, FWYS, XFZS are all verified as determinants of Chinese OFDI to Korea, while, several suggestions are proposed for Korea to attract Chinese OFDI.

주제어

표/그림 (5)

그림 Fig. 1. China's investment to Korea
표 Table 1. Descriptive Statistics（2008-2018）
표 Table 2. Empirical results from raw data
표 Table 3. Revised logarithmic empirical results
표 Table 4. Final empirical result (2008-2018)

AI 본문요약
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제안 방법

So this paper uses Korean GDP per capita (GRDP), trade dependence (MYYD), basic infrastructure transaction road mileage, foreign exchange rate (HV), knowledge and technique patents count (ZL), infrastructure transport road miles (DL), service industry count (FWYS), internet utilization rate (YNTL), consumption index per capita (XFZS) as explanatory variable of determinants of China's OFDI to Korea, data used in this paper is original from historical data of Korean statistical office, and interpreted variable OFDI uses data from national bureau of statistics of China (2008-2018), taking into account effects of economic lag, this paper uses T-1 year.
The empirical research in this paper supports the academic theoretical hypothesis that modern technological communication technology is also one of the determinants of OFDI, enriching the theoretical research literatures on determinants of OFDI, which is the main contribution of this paper to relevant academic theories. Empirical analysis on determinants of China's OFDI to Korea only selected part of factors by this paper, occurrence of economic phenomena is always the result of various factors, and studies in academic perspectives often differ from practice.
Therefore, the empirical results obtained by this paper validate current existing theoretical knowledge and strengthen the understanding of determinants of China's OFDI to Korea.
This paper will constitute a panel data structure with time series as longitudinal section and side by side factors as cross section, with data original from 8 factors with time span as 11 years that include Korean GDP per capita (GRDP), trade dependence (MYYD), basic infrastructure transaction road mileage, foreign exchange rate (HV), knowledge and technique patents count (ZL), infrastructure transport road miles (DL), service industry count (FWYS), internet utilization rate (YNTL), consumption index per capita (XFZS), where, panel data is a kind of data type that combines section data with time series data, it has two dimensions of time series and section, when data is arranged in two dimensions, it could be arranged on a plane, different from one dimension arranged in a line, it can control OLS bias of unobservable economic variables and provide more information, more changes, more degrees of freedom and higher estimation efficiency(M. Abellano, 2003 ; G. Christian , P. B. Phillips & J. Yu, 2007) [17, 18].

참고문헌 (18)

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상세보기
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상세보기
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