• The Journal of Asian Finance, Economics and Business
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• 제8권4호
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• pp.1-9
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• 2021

UAE has rapidly developed into one of the leading global financial hubs, with significant transformations in its stock exchanges. In its attempt at economic diversification in the last two decades, the country has also taken a lead in the GCC region in introducing extensive reforms to attract FDI to the Emirates. However, oil price volatilities have posed a significant challenge to all oil-exporting countries. The main aim of this study is to explore the impact of economic diversification and oil price on the UAE stock market. The study applies Granger Causality and Vector Autoregressive Model on monthly Abu Dhabi stock exchange index, Dubai Fateh crude oil spot price, and FDI inflows during 2001-19. The short-term interbank rate has been included as a monetary policy variable. The results show a substantial difference between the two phases of reforms. Oil price and Abu Dhabi stock index show bidirectional relationship during 2001-09 but no causality was found during 2010-19. Furthermore, the second phase was characterized by unidirectional causation from FDI to ADX index. This study highlights FDI inflows as a key driver of stock market performance during the last decade and emphasizes the success of the intense reforms in the UAE initiated for the diversification of its economy.

• 한류연구
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• 제2권2호
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• pp.19-26
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• 2023

This study analyzes the historical events that shaped South Korean Foreign Direct Investment (FDI) and its value to businesspeople. Chapter 2 reviews South Korean FDI literature, highlighting critical studies and a research gap. Chapter 3 strategically separates findings into four major historical events. Every event-from economic liberalization to technical advances-is studied. Chapter 5 offers valuable insights and guidance on how these events affect practitioners. The following chapters aim to promote FDI dynamics understanding and enable businesses and governments to make strategic decisions in South Korea's dynamic economy. Foreign Direct Investment (FDI) history in Korea is significant for practitioners. These events have impacted the nation's economy from the 1960s economic liberalization to modern technology advances. Practitioners must understand these events' far-reaching implications to make informed decisions. The opening up of the economy, chaebols' involvement, financial crises, and high-tech industry emphasis provide excellent lessons. This understanding helps practitioners navigate the global economy, adapt, and be resilient for sustainable economic growth in the Republic of Korea. Thus, practitioners should actively advocate for FDI and economic growth policies with government agencies. Collaboration ensures that the government's strategic vision matches industry practitioners' requirements and goals. By working together, practitioners help create policies that make Korea more appealing to international investors.

• The Journal of Asian Finance, Economics and Business
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• 제5권2호
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• pp.15-24
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• 2018

The study examines the magnitude of economic spillover and the impact of foreign direct investment (FDI) inflows on the efficiency of the bank industry in China. This study employs unit root tests, cointegration tests and cointegrating regression analysis, including fully modified ordinary least squares (FMOLS), canonical cointegrating regression (CCR) and dynamic OLS (DOLS) to test the proposed hypotheses. The sample is restricted to the period of time in which monthly data is available and comparable among variables for the period from January 2002 to October 2013 (142 observations). All of the time series data was collected and retrieved from the People's Bank of China, China Monthly Statistics from the National Bureau of Statistics of China, and International Financial Statistics database from International Monetary Fund. The results of the Johansen cointegration test suggest that there is a long-run equilibrium relationship between FDI inflows, foreign exchange rate and banks performance in China. The results of cointegrating regression analysis using FMOLS, CCR and DOLS suggest that M2 supply and FDI inflows are significant at the 0.01 level. The results confirm that FDI inflows in the banking sector are positively related to the increase of banks productivity and performance and short-term loans in China. However, the results suggest that Chinese Yuan currency exchange rate to U.S. dollar is not significant in the banking and financial industry of China.

• The Journal of Asian Finance, Economics and Business
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• 제9권9호
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• pp.143-156
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• 2022

This article examines the effect of inward foreign direct investments (FDI) on the export performance of micro, small & medium enterprises (MSMEs) in India, and investigates the spillover impact and absorption capacity of the MSMEs sector. For the first time, the researchers applied the intersectoral linkage approach to investigate the matter and used a panel dataset between 2006 and 2017. The coefficients of forward and backward linkages are estimated by using the Rasmussen method, the study employs a basic linear panel data model, followed by various diagnostic tests to identify the problem of heteroscedasticity, autocorrelation / serial correlation, cross-sectional dependencies, multicollinearity, time-individual specific tests, and unobserved effects. The PCSE model was applied for robust standard error and the Hausman-Taylor IV model to check the robustness of the result generated in the linear panel data model. Despite the high prevalence of forward and backward intersectoral connections and the Lack of absorption capacity of local firms, the results show that FDI has little of an impact on the export performance of micro, small, and medium-sized businesses in India. This study adds to the existing literature on determining local firms' spillover effect and absorption capacity in response to inward FDI.

• 무역학회지
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• 제43권3호
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• pp.147-168
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• 2018

한국 해외직접투자기업은 저렴한 원재료를 조달하여 낮은 생산요소가격을 지불하는 국가에서 생산하여 세계를 대상으로 판매 및 마케팅을 한다. 이러한 측면에서 글로벌 공급사슬관리는 한국해외직접투자기업에게 중요성이 있고 이에 따라 본 연구는 공급사슬지향성의 수준에 따른 신뢰성 및 품질 성과의 차이를 분석하는 것을 목적으로 한다. 연구목적을 달성하기 위해 본 연구는 선행연구를 통해 변수들 간의 이론적 관계를 확인하였고 측정변수를 도출하여 한국 해외직접투자기업들로부터 설문지를 회수하여 분석하였다. 분석결과는 다음과 같다. 첫째, 공급사슬지향성의 수준에 따른 신뢰성 성과는 차이가 있는 것으로 확인되었다. 관리자는 그들의 현재 공급사슬지향성의 수준을 확인하고 신뢰성 성과를 개선하기 위한 전략적 및 구조적 노력을 해야 한다. 둘째, 공급사슬지향성의 수준에 따른 품질 성과 역시 차이가 있는 것으로 확인되었다. 품질 성과의 개선을 위해 관리자는 그들의 현재 공급사슬지향성의 수준을 파악해야 한다. 이를 통해 관리자는 전략적이고 구조적인 노력을 통해 품질 성과를 개선할 수 있다.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2004년도 ICCAS
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• pp.1949-1952
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• 2004

GPS is widely used for outdoor positioning in many applications. But it is not suitable for positioning in an obstacle environment such as urban area, tunnels and so on, due to variable signal level. So new technology of the positioning is required to provide the consistent error level regardless of any changes in any environment. Abrupt changes of GPS signal can be detected by various fault detection and isolation methods. Conventional FDI (Fault Detection and Isolation) methods are categorized into two approaches. One approach is the snapshot method that uses measurements only at present step. The other approach is the filtering method that uses measurements stacked from previous step to present step. The FDI result of the snapshot method can be considered reliable independently with previous results and the FDI result of the filtering method is more reliable and detection time is a little longer. Therefore combining approach of two methods is proposed for increasing FDI performance in this paper. Three approaches that are the snapshot method, the filtering method and the combining method are compared to show the probability of correct FDI in simulations. The combining approach presents best result of FDI among them and shows the consistent accuracy irrespective of any changes in outdoor environment.

• The Journal of Asian Finance, Economics and Business
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• 제7권10호
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• pp.413-421
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• 2020

This study aims to develop a research framework to investigate the factors affecting organizational commitment among employees who are working in Foreign Direct Investment (FDI) enterprises in Vietnam. The authors designed an online survey distributed to employees in FDI enterprises, collecting the data from 312 employees. All scales in this study are adopted from previous studies; tools employed include Cronbach's Alpha, Exploratory Factor Analysis, and Confirmatory Factor Analysis (CFA) to examine the internal consistency, reliability, dimensionality, and validity of each variable. Then, the structural equation modelling (SEM) was utilized in order to estimate path correlations between variables. Results indicate that the leadership style has the strongest effect on organizational commitment, followed by job satisfaction and working performance. Moreover, working performance and job satisfaction are also influenced by leadership style. However, there is no statistical evidence to show that job satisfaction has an impact on working performance. In addition, bootstrapping method is used to show the indirect effect of variables; results reveal that leadership style, though, does not have indirect effect on working performance via job satisfaction, but it indirectly affects organizational commitment throughout working performance. In other words, the study finds that working performance mediates the link between leadership style and organizational commitment.

• The Journal of Asian Finance, Economics and Business
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• 제7권4호
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• pp.287-297
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• 2020

The research aims to investigate the impact levels of determinants on the loyalty of accountants to FDI firms underlying investment management in Thanglong Industrial Park in Hanoi, Vietnam. We conducted a questionnaire consisting of 31 observation variables with a 5-point Likert scale. Independent variables were measured from 1 "without effect" to 5 "strongly". The method of data collection was done through the survey and subjects are accountants in FDI firms doing business in Thanglong Industrial Park in Hanoi. After checking the information on the votes, there are 120 questionnaires with full information for data entry and analysis, This study employs Cronbach's Alpha test, and regression model. The results show that seven determinants including Working environment, The characteristics of working; Training, promotion prospects and development; Income, Personal characteristic, Collective work together and The method of leading had positive relationships with the loyalty of accountants. Based on the findings, some recommendations are given related to such determinants to improve the loyalty of accountants of FDI firms in general and FDI firms in Thanglong Industrial Park in Hanoi in particular. With which, those firms can enhance performance, reduce financial strain, saving on investment in the recruiting process of new staff, increase profitability to ensure investment management.

• 한국산학기술학회논문지
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• 제20권12호
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• pp.574-580
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• 2019

본 논문에서는 제주국제자유도시 및 경제자유구역의 경제적 성과를 외국인직접투자(FDI), 지역내총생산(GRDP), 고용률(EPR) 데이터를 이용하여 통계적 검정과 패널분석의 이중차분모형(Difference-In-Difference model)으로 살펴보고, 세 변수의 관계를 지역별 데이터 및 패널 벡터오차수정모형(PVECM: Panel Vector Error Correction Model)을 이용하여 살펴보았다. FDI 신고액 대비 도착액의 비율인 실투자율 연평균증가율의 경우 수도권이 비수도권보다 높게 나타났다. FDI 도착액의 성장과 상대적 규모를 살펴보면 16개 지역 중 7개 지역이 성장도 낮고, 규모도 작은 것으로 나타났다. 통계적 분석 결과 지구지정 전후의 변화에서 2개 지역을 제외하고는 일부 변수에서 통계적으로 유의한 차이가 나타났으나 순수한 지구지정 정책효과인 지를 판단할 수 있는 이중차분 추정치는 통계적 유의성이 없는 것으로 나타났다. 한편, PVECM을 이용하여 세 변수의 상호 관계를 분석해 본 결과 상호 설명력은 상당히 제한적이었으나 수도권 지역보다는 비수도권 지역에서, 광역지역 보다는 시도지역에서 크게 나타났다. 이상의 결과를 종합해 볼 때, FDI 유입이 GRDP 증가 및 고용률 상승 등 지역경제 활성화로 연결될 수 있는 FDI 유치 메커니즘을 구축하는 것이 필요하다고 하겠다.

• 전기학회논문지
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• 제63권8호
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• pp.1085-1091
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• 2014

A model based SOC estimation scheme using parameter identification is described and applied to a Lithium-ion battery module that can be installed in electric vehicles. Simulation studies are performed to verify the effect of sensor faults on the SOC estimation results for terminal voltage sensor and load current sensor. The sensor faults should be detected and isolated as soon as possible because the SOC estimation error due to any sensor fault seriously affects the overall performance of the BMS. A new fault detection and isolation(FDI) scheme by which the fault of terminal voltage sensor and load current sensor can be detected and isolated is proposed to improve the reliability of the BMS. The proposed FDI scheme utilizes the parameter estimation of an input-output model and two fuzzy predictors for residual generation; one for terminal voltage and the other for load current. Recently developed dual polarization(DP) model is taken to develope and evaluate the performance of the proposed FDI scheme. Simulation results show the practical feasibility of the proposed FDI scheme.