• Korea Trade Review
• /
• v.46 no.3
• /
• pp.119-133
• /
• 2021

After 'Zhou Chuchu (走出去, Go global)' in the early 2000s, and with the 'One-to-One Road' initiative in 2012, China's Overseas Foreign Direct Investment (OFDI) has increased significantly, resulting in high academic interest. The purpose of this study is to analyze the impact of national risks of home country on China's OFDI by using data from 49 countries along the 'One-to-One Road' between 2007 and 2018, and to compare the factors of national risks that attract investment from the world. As a result of the study, market economy companies' perceptions of national risks are mostly negative, so risk acts as a deterrent to investment. On the other hand, national risks of home countries have had positive effects on China's OFDI, which would mean that Chinese investors, mostly state-owned enterprises have a high tendency to invest in regions or countries with high national risks. Other economic factors, such as the size of the investment partner country's market, GNI per capita, and trade openness, had a positive (+) effect, and natural resources had a negative (-) effect on China's OFDI. As dummy variables, FTA, which is an economic and diplomatic factor, SCO, which is a political and diplomatic factor, and bordering which is a geographical factor, were also found to have a positive (+) effect. This study implies the investment pattern of China's OFDI is due to the characteristics of China's unique geopolitical and economic system, and it is judged to be influenced by political and strategic factors, especially the aspects led by state-owned enterprises.

• Korea Trade Review
• /
• v.41 no.3
• /
• pp.177-198
• /
• 2016

China has retained economic growth rate of average 9% for more than ten years recently after China introduced capitalistic market economy system in 1979 by Deng Xiaoping. China has attracted foreign direct investment for a long time because it has retained very high economic growth rate, low labor cost, and various policies for foreign investors. This paper tries to analyse the determinants of foreign direct investment inflow after reform-opening of China with empirical analysis methods utilizing each province·city's specific characteristics by using the panel data from 1985 to 2013. For the empirical analysis we use random effect model, fixed effect model, pooled OLS, and random coefficient model. The results by pooled OLS and random coefficient model are presented for the comparison with the main results in the process of research. The research shows the results by fixed effect model are better than those by random effect model after doing Hausman's test. The results shows that GRDP, capital stock, and telecommunication exert a positive relationship with foreign direct investment, while express way variable exerts a negative one. China's education level surprisingly does not attract foreign direct investment even though it is not at a critical level. Therefore, the Chinese government should try to increase national income level as it symbolizes market size; encourage domestic investment; and construct high quality telecommunication infrastructure.

• Korean Journal of Construction Engineering and Management
• /
• v.16 no.4
• /
• pp.107-117
• /
• 2015

As the demand for urban business hotel has increased in the recent years due to the sharp rise in overseas tourists, the potential of business hotel development has gained in financial attention for the real estate investment. However, its concept and business domain has not been defined, and none of investment guidance for the development has not been clarified. Accordingly, this report intends to define the concept of urban business hotel in perspective of real estate investment through prior case studies and literature review, and provide the structure of determinants which control its investment decisions. Furthermore, this study develops the weight of determinants depending on the type of investment, and evaluate the two actual projects in urban area of Seoul, differed from investment type: direct and indirect, based on AHP and Fuzzy methodologies. Research finding indicate that the financial factors affecting the sales and tour business condition factors are critical determinants regardless of investment type. And it is notable that the direct investment perspective pays more attention on the finance and investment associated determinants while the indirect one more focuses on the regional and environmental ones. From the analysis of case evaluation, it is also noteworthy that the direct investors turn out to be more conservative than indirect investors due to the risk of equity capital investment.

• The Journal of Asian Finance, Economics and Business
• /
• v.7 no.12
• /
• pp.21-31
• /
• 2020

This study investigates the dynamic effects of economic development, international cooperation, electricity consumption, and political risk on the escalation of CO₂ emission in Vietnam. We adopted autoregressive distributed lag model and Granger causality method to examine the interaction between CO₂ and various economic and political factors, including foreign direct investment, trade openness, economic growth, manufacture, electricity consumption, and political risk in Vietnam since the economic revolution in 1986. The findings reflect opposite influence between these factors and the level of CO₂ in the intermediate and long-term durations. Accordingly, foreign direct investment and CO₂ emission have a bidirectional relationship, in which foreign direct investment accelerates short-term CO₂ emission, but reduces it in the long run through an interactive mechanism. Moreover, economic development increases the volume of CO₂ emission in both short and long run. There was also evidence that political risk has a negative effect on the environment. Overall, the findings confirm lasting negative environmental effects of economic growth, trade liberalization, and increased electricity consumption. These factors, with Granger causality, mutually affect the escalation of CO₂ in Vietnam. In order to control the level of CO₂, more efforts are required to improve administrative transparency, attract high-quality foreign investment, and decouple the environment from economic development.

• International Commerce and Information Review
• /
• v.11 no.3
• /
• pp.391-408
• /
• 2009

This study first designates the factors affecting Foreign Direct Investment (FDI) in order to analyze the FDI in Korea, and calculates the Korean FDI index by using various designated variables and by applying Factor Analysis Technique. In addition, it attempts to understand the influence wielded by the foreign investment variables of foreign multinationals on FDI in Korea, by setting to analyze & verify Environmental Factors and the overall model based on FDI in Korea. Through an emprical analysis of USA, Japan, EU, China, as our hypothesis, we could verify that the positive effects(+) among the decisive factors of FDI in Korea include the market size, the mean earning rate of domestic manufacturing industries, and the marketing capacities of foreign corporations, while the negative effects(-) include the ratio of taxation on domestic manufacturing industries. Other FDI factors have various effects on each, so some factors show the same effects as the hypothesis while others show separate effects. In addition, the only nation for which the effects of FDI factors in Korea coincide with the hypothesis completely is the USA, while other nations (such as Japan, EU, China) have some effects that conform to the hypothesis, but other effects do not accord with it.

• The Journal of Asian Finance, Economics and Business
• /
• v.7 no.9
• /
• pp.263-269
• /
• 2020

The purpose of this paper is to examine the impact of consumer price index, infrastructure, human resources, trade openness, and private credit on the attraction of foreign direct investment (FDI) in Tay Ninh province as well as to emphasize the important role of FDI in economic growth of developing areas. The research data was collected from Tay Ninh Statistical Office with 80 samples of a 20-year period from 2000 to 2019. Also, OLS regression method using Eviews software was employed to analyze the data obtained. The findings revealed that human resources, infrastructure and private credit have a positive and significant impact on FDI attraction in Tay Ninh province, while consumer price index was proven to affect FDI attraction negatively. Accordingly, competent authorities of Tay Ninh province should focus on stabilizing prices as well as implementing policies for developing local human resources and attracting high-quality personnel from foreign countries. Tay Ninh province also needs to pay more attention to information technology investment for synchronous development of infrastructure. Moreover, the State Bank of Tay Ninh branch needs to consider more credit sources to provide support packages for businesses, creating a strong basis for establishments to attract FDI for the province's economic development.

• Journal of Distribution Science
• /
• v.20 no.4
• /
• pp.77-83
• /
• 2022

Purpose: This study aims to find the impact of international trade cooperation and distribution on foreign direct investment (FDI). The study also tests the impact of lag variables of trade cooperation and distribution on FDI in the future. Research design, data, and methodology: Autoregressive Distributed Lag model is applied to analyze the impact of chosen variables such as total trade (TRADE), trade openness (OPEN), the exchange rate (EXR), inflation (INF), and gross domestic growth (GDP) on FDI. Quarterly data is collected from Vietnam General Statistic Office, Vietnam General Department of Customs, International Monetary Fund, and The World Bank from 2006 to 2020. Stata 14 software is used to analyze the regression and test variables. Results: The findings indicate that TRADE, OPEN, INF, GDP, and their lags affect both positively and negatively on FDI in different periods. While OPEN still expresses an unclear impact on FDI. Moreover, this study proves that the FDI of a nation is influenced by international cooperation. Conclusions: This study indicates the importance of international trade cooperation and distribution in not only attracting foreign investment sources but also developing the economy. Findings are necessary bases for governments or authorities in signing international trade agreements in the future.

• Korea Trade Review
• /
• v.44 no.1
• /
• pp.115-127
• /
• 2019

In recent years, the Indian market has gained worldwide attention in the global trading business environment. Korean companies are also seeking to enter the indian market, and their foreign trade investment strategy is based on the Global Value Chain(GVC). In this study, we examine difference from traditional investment strategy to GVC investment strategy in the age of 4IR(fourth industrial revolution) through using POLS model(pooled least square), FEM(fixed effect model), and REM(randomized effect model). Based on the analysis of 84 monthly data related to the FDI and international trade effects between Korea and India, the following results were found. As Korean companies increased their share of export to the Indian market and export to the Indian market, the number of new companies directly invested in overseas market increased. However, the amount of import into the Indian market was relatively low in relation to the number of new companies directly in overseas markets. As a result of analyzing the investment strategy of the GVC in India, the GVC has shifted from manufacturing to process upgrading to enter the GVC on Smile Curve.

• International Commerce and Information Review
• /
• v.14 no.3
• /
• pp.159-183
• /
• 2012

Promoted in places like Korea, the central government and the local governments that can provide information on which to base investment policy to attract foreign direct mutation-specific gravity model (Shift-Share Model) In this study, the decrease of foreign direct investment performance using factors looked up in the industry. The sample period of 2009, 2010, 2011 nationwide (metropolitan and non-metropolitan separated) of foreign direct investment performance for Industry Standard Industrial Classification (Division) was conducted. Factors to look at the results of the National Growth Effect(NS), the industrial structure effect (IM), local allocation effect(RS) to decrease foreign direct investment in 2010 and 2011 non-metropolitan, metropolitan national growth effect(RS) is negative(-) has a value. Because it appears to be the aftermath of the global recession, the impact on the domestic economy Metropolitan area and the Industrial Mix Effect(IM) to the development of education, culture, business, and transportation, etc. in the development of service industries than in non-metropolitan valid environment. In the sector of services (food accommodation, business services, entertainment), We did it, was able to find the function. However, the Regional Share Effect(RS) be competitive in the manufacturing sector in metropolitan areas in the metal and chemical sectors have been identified. These results seems to enhance the competitiveness of the region, such as the metropolitan area's excellent workforce. Shift-Share analysis technique based on competitive factors of the region, to find the failure has limitations.

• Asia-Pacific Journal of Business
• /
• v.7 no.2
• /
• pp.61-76
• /
• 2016

This study aims to establish ways of how languages are used as determination factors for investment decisions among Asian countries where used languages are diversified. According to the analysis result, language segmentation of the investing country increases investment whereas the language segmentation of the invested countries is analyzed as the decreasing factor of investment. Also, it is analyzed that the further the linguistic distance between the investing country and the invested country the more investment increases. In the aspects of approached language distance and investment time selection, along with the increased linguistic distance, the elasticity to foreign direct investment is apprehended to be more flexible than other forms of investment. Such result shows the more segmented the languages of the targeted invested country the more investment cost will increase and therefore the results in linguistic distance can be explained as diversification of the invested country and the result to the forming of bridgehead at the invested area.