• The Journal of Asian Finance, Economics and Business
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• v.8 no.1
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• pp.23-36
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• 2021

The study explores the nexus between foreign direct investment (FDI), financial innovation, and exchange rate volatility in selected South Asian countries for 1980 to 2017. The study applies the unit root test, Autoregressive Distributed Lagged, nonlinear ARDL, and causality test following Toda-Yamamoto. Unit root tests ascertain that variables are integrated in a mixed order; few variables are stationary at a level and few after the first difference. Empirical model estimation with ARDL, Long-run cointegration revealed with the tests of FPSS, WPSS, and tBDM by rejecting the null hypothesis of "no cointegration." This finding suggests that, in the long-run financial innovation, FDI inflows, and exchange rate volatility move together. Moreover, study findings established adverse effects running from FDI inflows and financial innovation to exchange rate volatility in the long run. These findings suggest that continual FDI inflows and innovativeness in the financial system assist in lessening the volatility in the foreign exchange market. Furthermore, nonlinear ARDL confirms the presence of asymmetric cointegration in the model. The standard Wald test established asymmetric effects running from FDI inflows and financial innovation to exchange rate volatility, both in the long and short run. Directional causality unveils feedback hypothesis holds for explaining causality between FDI, financial innovation, and exchange rate volatility.

• The Journal of Industrial Distribution & Business
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• v.14 no.11
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• pp.27-35
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• 2023

Purpose: China's economy has changed considerably in recent decades. By delivering a comprehensive knowledge of the elements that support successful foreign direct investment (FDI) in China and practical insights for multinational firms operating in this dynamic environment, this research offers a new perspective and sets itself apart from previous studies. Research design, data and methodology: It is necessary to give a thorough overview of the body of information on successful FDI in China, which justifies the adoption of a systematic literature review. The study may use a wide range of studies because of this methodology, which guarantees that inferences have a solid and supported basis in data. Results: The findings in the present study have clarified how China's government policies and regulatory framework affect foreign direct investment (FDI). Previous studies have indicated that regulatory changes can significantly impact FDI. For instance, more foreign direct investment (FDI) has been drawn to liberalized industries such as technology and finance. Conclusions: In conclusion, for foreign direct investment (FDI) to be successful in China, it is essential to consider these four factors: local partnerships and cultural adaptation, market research and entry strategy, regulatory environment and policy support, and risk management and contingency planning.

• Journal of the Korea Society for Simulation
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• v.21 no.1
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• pp.19-26
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• 2012

In this paper, we study the relationship between FDI(Foreign Direct Investment) and economic growth in Kazakhstan. For this research, we, first, investigate the factors that affect FDI infow to Kazakhstan since its independence and determine the degree of their influence. Second, we study the impact of FDI per capita on GDP per capita. To achieve these goals, an empirical study is conducted with 18 years data from 1992 to 2009 from World Bank Database. Data are analyzed using multiple linear regression, time series analysis and Granger causality test. The results show that the determinant of FDI is GDP and economic freedom index in Kazakhstan. Economic growth is affected by FDI, too. Specially, FDI is positively related to GDP and economic freedom index. FDI per capita's impact on GDP per capita is 30.4 dollars increase in GDP per capita by one dollar increase in FDI per capital inflow. The results provides useful information for policy makers to improve obtaining large amount of investments and facilitate economic growth.

• Journal of Korea Trade
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• v.24 no.1
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• pp.146-170
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• 2020

Purpose - This paper addresses the concepts of FDI-Trade-Growth nexus in Myanmar's economy and empirically investigates the interrelationships of trade, investment and economic growth to reveal the growth model of Myanmar's economy. Additionally, this paper also addresses the cooperative strategies between Myanmar and South Korea through a case study related to South Korea's economic growth. Design/methodology - Our empirical model considers the interrelationship among FDI, trade, growth, labor force and inflation in Myanmar. This study employs ARDL (Autoregressive Distributed Lag) to conduct an analysis of the FDI-Trade-Growth relationships using the time series data from 1970 to 2016 and a conducted case study of South Korea provided for practical implication on cooperative strategies between Myanmar and Korea. Findings - Export equation was chosen through the diagnostic tests. Our main findings can be summarized as follows: Export in Myanmar is positively influenced by labor force, FDI, capital formation and negatively impacted by import and instable inflation rate in the long run. In the short run, GDP and import positively influence export. The Granger causality test proves that Myanmar is an FDI/labor force-led Growth economy, where FDI and labor force are main drivers of export followed by GDP in Myanmar. The case study of South Korea provided that Korea's tax and credit system for promoting export-led FDI industries and cooperative units for joint ventures between Korea and Myanmar in export-led FDI industries are recommended. Originality/value - No study has yet to be conducted on the interrelationships of macroeconomic factors from the perspectives of FDI-Trade-Growth Nexus in Myanmar under the assumption of labor force and inflation rate as fundamental conditions. The current study also covered a relatively longer period of time series data from 1970 to 2016. This paper also conducts a case study of South Korea's experience in order to evaluate the findings and provide better policy implications.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.12
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• pp.574-580
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• 2019

In this paper, the economic performance of the Jeju Free International City and the Free Economic Zone is investigated using statistical testing and the difference in differences (DID) model with data on foreign direct investment (FDI), gross regional domestic product (GRDP), and employment-to-population ratio (EPR). The relationships among FDI, GRDP, and EPR are also investigated using the panel vector error-correction model on the regional data. The compound average growth rate of actual investment, and the ratio of FDI received to FDI declared in the capital region were higher than in the non-capital region. For the growth and relative volume of FDI received, seven regions out of 16 were found to be low in growth and small in relative volume. The results of statistical testing showed statistically significant differences in some variables, except for two regions, but DID estimates that determine the pure policy effect of zone designation showed statistical insignificance. On the other hand, the explanatory power among the three variables was found to be quite limited, but it was greater in the cities, provinces, and non-capital region. In summary, it is necessary to establish the FDI inducement mechanism so the inflow of FDI can increase GRDP and EPR.

• International Commerce and Information Review
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• v.19 no.2
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• pp.85-107
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• 2017

The aim of this study is to empirically examine fundamental factors that drive FDI to a particular location. This study further explores operating conditions of Korean firms in Myanmar. A survey methodology and then a regression analysis are employed. The study finds that the factors such as transportation, production factor, market, and cost play an important role for the location of FDI. However, the Korean investment in Myanmar decreases from 2013. The decrease of Korean investment implies that investing in Myanmar has not been profitable. The empirical study finds a complicated pattern of FDI. Large Korean firms are located far from the consumer market, thus, bear an increased transport cost to reach the consumer market. They are rather located in a place where they can access to a transport means and raw materials with low cost to export final products. They place FDI into a host country to serve as a production platform for exports to neighboring countries.

• Journal of Institute of Control, Robotics and Systems
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• v.10 no.1
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• pp.1-9
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• 2004

Inertial navigation system with hardware redundancy must use FDI(Fault Detection and Isolation) method to remove the influence of faulty sensors. Until now, several FDI methods such as PSA(Parity Space Approach), GLT(Generalized Likelihood ratio Test) and OPT(Optimal Parity vector Test) method are generally used. However, because these FDI methods only consider the situation that the system has one faulty sensor, these methods cannot be directly adapted for the system with two faulty sensors. To solve this problem, in this paper, PSA method is analyzed and based on this result, new FDI method called EPSA is proposed to consider a detection and an isolation of two faulty sensors in inertial navigation system.

• International Journal of Aeronautical and Space Sciences
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• v.7 no.1
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• pp.73-83
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• 2006

In this paper, a redundancy management system for aircraft is studied, and fault detection and isolation algorithms of inertial sensor system are proposed. Contrary to the conventional aircraft systems, UAV system cannot allow triple or quadruple hardware redundancy due to the limitations on space and weight. In the UAV system with dual sensors, it is very difficult to identify the faulty sensor. Also, conventional fault detection and isolation (FDI) method cannot isolate multiple faults in a triple redundancy system. In this paper, two FDI techniques are proposed. First, hardware based FDI technique is proposed, which combines a parity equation approach with a wavelet based technique. Second, analytic FDI technique based on the Kalman filter is proposed, which is a model-based FDI method utilizing the threshold value and the confirmation time. To provide the reference value for detecting the fault, residuals are calculated using the extended Kalman filter. To verify the effectiveness of the proposed FDI methods, numerical simulations are performed.

• Journal of the Economic Geographical Society of Korea
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• v.15 no.1
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• pp.1-25
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• 2012

This paper is the first paper of two linked papers about the FDI of the economic infrastructure-related public companies. This paper analyzes overseas investments of infrastructure public companies which is characterized by state control and support of socio-economic facilities and services. In theoretical consideration the genealogy and characteristics of FDI are examined, and then global FDI trends since 1970, institutional changes and FDI trends in Korea are analyzed. This analysis shows that the globalization of large state-owned enterprises or public companies from developing and transition economies constitutes an important component of FDI and new emerging source of FDI. Finally the objects and strategies of large 10 infrastructure public companies are analyzed in perspectives of features having both advanced and developing economies type.

• International Commerce and Information Review
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• v.18 no.1
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• pp.107-127
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• 2016

This paper attempts to investigate determinants of foreign direct investment in transition countries of Mongolia and Central Asia five countries of Kazakhstan, Uzbekistan, Kyrgyzstan, Tajikistan and Turkmenistan. FDI inflows in this transition economies have been far increasing due to their rapid growth, GDP, gross capital formation, wage, labor force, open trading, infrastructure and natural resources as well as the factors demonstrating the economic variables and political variables of these countries by Vector Error Correction Model. The results of empirical analysis based on data from 1993 to 2013 confirmed that FDI and open trade and gross capital formation and political than GDP, wage, labor force, infrastructure and natural resources had a significant impact on Central Asia and Mongolia. In addition, if Mongolia and Central Asian five countries can maintain the country's economic growth, reduce unemployment level, achieve certain improvements in domesticating new technologies and improving skills and knowledge sphere as well as promoting stable domestic price increase, attracting and improving the FDI by paying more attention to the indicators focusing on country's GDP, wage, labor force, infrastructure and natural resource.