• 국제지역연구
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• 제13권3호
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• pp.163-190
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• 2009

본 논문은 한국 현지에 진출하여 직접 경영활동을 수행하고 있는 중국 제조업 분야 기업들을 대상으로 대한국 해외직접투자 결정요인을 규명하는 것이다. 결정요인을 구성하고 있는 변수로는 선행연구를 통해서 중국기업들의 경쟁우위요인과 한국의 입지우위요인으로 선정하였다. 경쟁우위요인은 다시 3분되는데, 중국기업의 독점우위요인, 본사의 자회사에 대한 지원 필요성, 그리고 효율성 추구 동기 등이다. 한국의 입지우위요인은 한국의 일반 환경, 중국 자회사들의 한국내 자원의 이용 필요성, 시장과 원자재 조달 동기 등이며, 종속 변수로는 중국 기업들의 투자형태로서 단독투자와 합작투자로 분류하였다. 이들 간의 원인 관계를 실증적으로 분석하기 위해 구조방정식모델링 기법을 사용하였다. 분석 절차를 요약하면, 선행연구를 통해 문헌분석을 실행하고 이를 토대로 연구가설을 설립한 후 이를 검증하기 위한 실증분석을 실시하는 것이다. 즉, SPSS 15.0 for windows를 이용하여 상관분석, 신뢰성 타당성 분석을 실행하였고, 최종적으로 구조 방정식 모델링을 통한 경로분석은 AMOS 11.0 for windows 통계프로그램을 활용하였다.

• The Journal of Asian Finance, Economics and Business
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• 제8권5호
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• pp.53-60
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• 2021

Foreign direct investment (FDI) is especially important for developing countries. This study investigates the determinants of FDI in the case of Indonesia. Most empirical researches in this field used time series data of a single country or panel data of several countries. Although panel data analysis is more comprehensive, however results taken from cross-country analysis cannot be directly applied to any specific country in the dataset and therefore lacks practicality. In this research, panel data analysis of a single country is performed to overcome the aforementioned shortcomings. Five determinants of FDI are tested using panel data of 33 Indonesian provinces over 10-year period of time. Two methodologies are adopted, random/fixed effects model and Granger Causality. The results show that only market size significantly affects FDI when tested using both methodologies. Human capital and financial market development show significant result in one of the two methodologies. While, economic growth and infrastructure did not show any significant results at all. This research stresses the importance of comprehensive single country analysis since only one out of five commonly discussed determinants is applicable in the case of Indonesia. Governments should therefore carefully reconsider the use of cross-country analysis as a basis of their policy formulations.

• 부동산연구
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• 제27권1호
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• pp.45-57
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• 2017

본 연구에서는 물류부동산의 가격결정에 영향을 미치는 요인에 대하여 헤도닉 가격 모형을 이용하여 분석하였다. 연구의 분석을 위하여, 2006년부터 2015년까지 10년간 경기도지역에서 거래된 물류센터의 실거래 사례를 전수 조사하였다. 또한 매매가격 형성요인으로 건물특성, 경제특성, 투자특성 및 시간특성을 설정하였고, 헤도닉 가격 모형을 활용하여 다중회귀분석을 실시하였다. 분석결과, 첫째, 규모의 경제에 대한 선호도 경향으로 인하여 대형면적의 매매가격이 높게 형성되었고, 둘째, 간접투자의 경우에 더욱 적극적인 투자성향으로 인하여 직접투자의 경우보다 매매가격이 상대적으로 높게 나타났으며, 셋째, 물류센터의 투자에 대한 다양한 노하우를 보유한 외국인투자자가 매매가격을 주도하고 있는 것으로 판단된다. 본 연구를 통하여 물류센터에 대한 투자의사 결정의 판단기준을 제시하고자 한다.

• 유통과학연구
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• 제12권4호
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• pp.31-39
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• 2014

Purpose - This study investigates the following two issues. First, we attempt to find the important determinants of housing investment and to identify their significance rank using survey panel data. Recently, the expansion of global uncertainty in the real estate market has directly and indirectly influenced the Korean housing market; households demonstrate a sensitive reaction to changes in that market. Therefore, this study aims to draw conclusions from understanding how the impact of financial strength of the household is related to house investment. Second, we attempt to verify the effectiveness of diverse indices of financial strength such as DTI, LTV, and PIR as measures to monitor the housing market. In the continuous housing market recession after the global crisis, the government places top priority on residence stability. However, the government still imposes forceful restraints on indices of financial strength. We believe this study verifies the utility of these regulations when used in the housing market. Research design, data, and methodology - The data source for this study is the "National Survey of Tax and Benefit" from 2007 (1st) to 2011 (5th) by the Korea Institute of Public Finance. Based on this survey data, we use panel data of 3,838 households that have been surveyed continuously for 5 years. We sort the base variables according to relevance of house investment criteria using the decision tree model (DTM), which is the standard decision-making model for data-mining techniques. The DTM method is known as a powerful methodology to identify contributory variables for predictive power. In addition, we analyze how important explanatory variables and the financial strength index of households affect housing investment with the binary logistic multi-regressive model. Based on the analyses, we conclude that the financial strength index has a significant role in house investment demand. Results - The results of this research are as follows: 1) The determinants of housing investment are age, consumption expenditures, income, total assets, rent deposit, housing price, habits satisfaction, housing scale, number of household members, and debt related to housing. 2) The impact power of these determinants has changed more or less annually due to economic situations and housing market conditions. The level of consumption expenditure and income are the main determinants before 2009; however, the determinants of housing investment changed to indices of the financial strength of households, i.e., DTI, LTV, and PIR, after 2009. 3) Most of all, since 2009, housing loans has been a more important variable than the level of consumption in making housing market decisions. Conclusions - The results of this research show that sound financing of households has a stronger effect on housing investment than reduced consumption expenditures. At the same time, the key indices that must be monitored by the government under economic emergency conditions differ from those requiring monitoring under normal market conditions; therefore, political indices to encourage and promote the housing market must be divided based on market conditions.

• 통상정보연구
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• 제11권2호
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• pp.111-126
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• 2009

This study analysed determinants of Foreign Direct Investment to ASEAN+ 3 member nations using panel data for which cross-sectional data are combined with time series data. The data for the analysis included the amount of FDI, GDP, and indexes of economic independence. This study collected data from six nations(Indonesia, Malaysia, Philippines, Singapore, Thailand, Vietnam) whose data were easily available, China and Japan from 2003 to 2007 and analysed them. The results are summarized as follows: Using the pooled OLS method, we found Model 2 had the highest explanatory power whose adjusted R-squared was 89.4%, which accounted for about 89% of foreign investment. Using the fixed effect model, Model 2 had the highest explanatory power whose adjusted R-squared was 96.8%, which accounted for about 97% of foreign investment. Using the probability effect model, Model 5 had the highest explanatory power, but in respect to its statistical significance, only GDP was 1% significant and the rest variables had no significance.

• 한국산학기술학회논문지
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• 제12권4호
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• pp.1654-1662
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• 2011

본 연구의 목적은 $\"{O}$.Arslan et al.(2006)의 연구방법론을 적용하여 국내 기업의 현금보유(cash holdings)가 투자-현금흐름 민감도(investment-cash flow sensitivity)에 어떤 영향을 주는지를 분석하는 데 있다. 1981년부터 2009년까지 외환위기 이전과 이후 그리고 외환위기 기간으로 분류하여 각 기간별로 현금보유가 투자-현금흐름 민감도에 어떤 영향을 주는 지를 비교 분석하였다. 연구 결과는 다음과 같다. 첫째, 전체 기업을 재무적 제약(financial constraint) 에 대한 고려 없이 3개의 기간으로 분류해서 살펴본 결과 외환위기 기간을 제외한 외환위기 이전과 이후 기간에서는 현금보유가 많은 기업일수록 투자-현금흐름 민감도는 감소하였다. 둘째, 기업규모나 배당지급 기준에 의해 재무적 제약하에 있지 않은 기업으로 분류된 경우에는 현금보유가 많을수록 투자-현금흐름 민감도는 오히려 증가하는 것으로 나타났다. 이는 $\"{O}$.Arslan et al.(2006)의 연구와 일치하지 않는 결과인데 첫째, 기업규모나 배당지급 여부는 국내에서는 기업의 재무적 제약을 나타내는 기준으로 불완전하며 둘째, 본 연구에서 고려하지 못한 투자-현금흐름 민감도에 영향을 주는 다른 요인들이 존재할 수 있기 때문이다. 하지만 현금보유기준에 의해 재무적 제약하의 기업으로 분류된 경우에는 투자-현금흐름 민감도는 낮게 나타났다. 이는 $\"{O}$.Arslan et al.(2006)의 연구결과와 일치한다. 끝으로 전체 기간 동안 현금보유 결정요인은 다음과 같다. 현금흐름(cash flow)과 시장가/장부가비율(market to book ratio)은 증가할수록, 단기부채와 투자지출 그리고 기업규모는 감소할수록, 기업의 현금보유증가에 양(+)의 영향을 주는 것으로 나타났다.

• The Journal of Asian Finance, Economics and Business
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• 제7권6호
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• pp.19-27
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• 2020

This research investigates the determinants of investment capital size in Vietnam's small and medium-sized firms. The study employs a sample of 458 small and medium-sized enterprises in the country. The study is based on data collects in the areas of Hanoi, Bac Can, Buon Ma Thuot and Pleiku Provinces at time series data of October 2019. This study also identifies the factors that affect the size of investment capital in medium and small-sized enterprises in Vietnam. Data are processed via STATA 14.0 and SPSS 20.0 software. The research results indicate that (1) business lines, (2) import and export business, (3) type of business registration, (4) business location, (5) operating time, and (6) the percentage of the organization's capital contribution are factors that impact on the size of the investment capital of the business. Business line and business location have negative impacts on investment capital size. The operating time, the percentage of the organization's capital contribution, import and export business, and the type of business registration have positive impacts on investment capital size. In addition, the findings of this study also suggest that the operation time has the highest impact on investment capital size of the small and medium-sized firms in Vietnam.

• 무역상무연구
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• 제32권
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• pp.113-162
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• 2006

The objective of this study is to find out the below mentioned answers including main determinants of FDI in India by Korean firms. Which factors can attract Korean companies to invest in India ? What will be the lessons for Korean companies which are willing to invest in India, in the near future ? What will be the recommendations for Indian governments to attract more and more Korean firms ? In summary, it is clear that Indian market potentials(or attractiveness) and production factors as locational factors are found to be the most important determinants of FDI in India.

• 통상정보연구
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• 제12권3호
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• pp.223-242
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• 2010

Since the reopening of official relations in 1992, Korean and China have become major trading partners, apart from myriad exchanges in culture and other aspects of society. The subject of this study is to analysis on determinants for China market entry type of the Korean company. This article measure the effects on Korea exporter interests of Korea's trade with china. This paper investigates the determinants of export and FDI referring in entry type in the China's market of Korea company. There are 250 samples and 130 returns, 170 of them are analyzed for a entry competitiveness. This paper has there main a parts, Multiple regression result shows that the export entry competitiveness are positively affected by the product character and market character. However, The enterprise character and location character does not affect in the export competitiveness. Also, the direct investment entry competitiveness are positively affected by the market character and location character. However, The enterprise character and product character does not affect in the direct investment. Logit analysis result show that the direct investment entry does positively affected in CEO international mind and export entry does affect in more than rival competitive products. In addition, the export entry does positively affected in the customer taste diversity, political risk and economical risk, market environment instability.

• 무역학회지
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• 제44권1호
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• pp.87-99
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• 2019

Recently there are sharp increase in number of studies related with facilitation of Inward-FDI or Multinational Enterprises invested in Korea region. The most of studies are mainly purposing to survey - 1)how Korea Government makes counter plan and assistance policy to make foreign capital and Inward-FDI more attractively and aggressively, 2)what is the new framework or system for Inward-FDI policy, 3)what is economic effect of Inward-FDI, 4)what are determinants or conclusive factors of FDI in Korea. Under this situation, the goal of this report is to find out the new way for Multinational Enterprises to reinvest continuously thru getting their better investment performances on several factors including Marketing Competence, Management Ability, Localization Management Skill, Business Management Strategy, and R&D Competitiveness which would be much more important determinants influencing re-investment of Multinational Enterprises in Kora. This report based on the empirical result and comprehensive analysis will eventually help policy makers to implement the appropriate strategy and support Multinational Enterprises to proceed positive circle's re-investment activity in the end.