• Korea Trade Review
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• v.44 no.1
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• pp.75-86
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• 2019

This study performs a factor analysis that affects the bunker oil price using the Co-integration model and Vector Error Correction Model (VECM). For this purpose, we use data from Clarkson and the analysis results show 17.6% decrease in bunker oil price when the amount of crude oil production increases at 1.0%, 10.3% increase in bunker oil price when the seaborne trade volume increases at 1.0%, 1.0% decrease in bunker oil price when total volume of vessels increases at 1.0%, and 0.003% increase in bunker oil price when 1.0% increase in world GDP, respectively. This study is meaningful in that this study estimates the speed of convergence to long-term equilibrium and identifies the price adjust mechanism which naturally exists in bunker oil market. And it is expected that the future study can provide statistically more meaningful econometric results if it can obtain data during more long-periods and use more various kinds of explanatory variables.

• Korea Trade Review
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• v.44 no.6
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• pp.187-199
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• 2019

Vietnam's economic growth has progressed rapidly since Doi Moi. Vietnam is a key driving force for global economic growth on behalf of China. Therefore, this study analyzed the factors of Vietnam's economic growth by using time series variables after Doi Moi. Study results show that educational expenditures affect ODA in the short term. In the long run, GDP and FDI are causally related to ODA. Based on the above findings, it can be seen that FDI and ODA played a significant role in Vietnam's economic growth. This finding suggests that in order for Vietnam's economy to grow further, the capital market should be more open to foreigners so that FDI and ODA can flow more smoothly. Since the inflow of FDI is also linked to educational expenditure, it is important to understand that the workforce is being upgraded in the Vietnamese labor market.

• Journal of the Korean Society for Aviation and Aeronautics
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• v.29 no.4
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• pp.153-159
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• 2021

In this study, based on actual data for the past 20 years, the factors affecting aviation trade were identified by classifying the countries that concluded FTAs with Korea and those that did not, through panel analysis. The amount was analyzed by dividing it into exports and imports, and differences between countries with FTAs and non-FTAs were also derived. As a result of the analysis, both exports and imports showed a positive(+) direction for the counterpart country's GDP per capita and Korea's GDP, and a negative(-) direction for the counterpart country's GDP and Korea's per capita GDP in the case of a country that signed an FTA. On the other hand, in the case of non-FTA countries, the GDP of both countries showed a positive(+) direction and per capita GDP showed a negative(-) direction. International oil prices did not show any significant results. As such, the results of the analysis of exports and imports are similar, but the difference is that the GDP variable acts in different directions between countries with and without FTAs.

• Journal of Korea Trade
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• v.25 no.2
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• pp.22-45
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• 2021

Purpose - This study aims to identify new attributes by analyzing reviews conducted by global automaker customers and to examine the influence of these attributes on satisfaction ratings in the U.S. automobile sales market. The present study used J.D. Power for customer responses, which is the largest online review site in the USA. Design/methodology - Automobile customer reviews are valid data available to analyze the brand personality of the automaker. This study collected 2,998 survey responses from automobile companies in the U.S. automobile sales market. Keyword analysis, topic modeling, and the multiple regression analysis were used to analyze the data. Findings - Using topic modeling, the author analyzed 2,998 responses of the U.S. automobile brands. As a result, Topic 1 (Competence), Topic 5 (Sincerity), and Topic 6 (Prestige) attributes had positive effects, and Topic 2 (Sophistication) had a negative effect on overall customer responses. Topic 4 (Conspicuousness) did not have any statistical effect on this research. Topic 1, Topic 5, and Topic 6 factors also show the importance of buying factors. This present study has contributed to identifying a new attribute, personality. These findings will help global automakers better understand the impacts of Topic 1, Topic 5, and Topic 6 on purchasing a car. Originality/value - Contrary to a traditional approach to brand analysis using questionnaire survey methods, this study analyzed customer reviews using text mining. This study is timely research since a big data analysis is employed in order to identify direct responses to customers in the future.

• Journal of Korea Trade
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• v.23 no.7
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• pp.1-12
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• 2019

Purpose - This paper empirically investigates the relationship between Information and Communication Technology (ICT) goods imports and economic growth with a focus on the 13 Asia-Pacific economies during 2005-2016. In particular, this paper extends the study by breaking down the data of Asia-Pacific countries into High Income Countries (HICs) and Low Income Countries (LICs) according to the difference of income levels. Design/methodology - Our empirical model employs the standard growth model based on the Barro (1998)-type growth framework. Using static panel-data technique, we estimate the effect of ICT goods imports on economic growth in the 13 Asia-Pacific economies. In addition, we also estimate a difference of the ICT goods imports-economic growth link between HICs and LICs. Findings -The estimation results indicate that ICT goods import has a significant positive effect on economic growth, while ICT goods export has a positive but statistically insignificant effect on it. When we break down the panel data into HICs and LICs in order to gain further insight, ICT goods imports has been effective in spurring growth in only LICs but not in HICs. The other supplementary results show that both domestic investment (GCF) and life expectancy (LE) have a significantly positive impact on economic growth in both HICs and LICs. Originality/value - The main findings of the paper suggest that ICT goods imports has a positive effect on economic growth in only LICs but not in HICs. This result supports the so-called 'leapfrogging' hypothesis through ICT goods imports in the Asia-Pacific countries, in which LICs are gaining more from ICT goods imports than HICs.

• Journal of Korea Trade
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• v.26 no.8
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• pp.1-20
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• 2022

Purpose - The paper aims to develop the theory of TAM and perceived risk through a more comprehensive and rigorous understanding of the influencing factors of the consumer's adoption of LG HomNet smart home from the perspective of trade-offs. Design/methodology - Based on the TAM and perceived risk theory, combined with the individual characteristics of consumers in the context of information technology as the external factors of the technology acceptance model, this paper constructs a theoretical model of the factors affecting the use intention of the consumer. It was empirically tested by using SEM, and survey data was collected from 458 respondents. Findings - The research results show that 9 hypotheses of the research model are supported and have reliable prediction accuracy. Consumers' perceived interest, perceived connectivity and perceived controllability have a significant positive impact on their intention to use. In addition, this paper also confirmed the mediating effect of perceived usefulness and perceived ease of use. Originality/value - Consumers are very concerned about gains and losses. Low-level performance risks, security risks, and financial risks will drive the consumer to have a stronger intention to use, and financial risks have the strongest impact. This research provides a useful implication and guidance for smart home equipment manufacturers and service providers in product and service innovation and marketing and promotion strategies.

• Journal of Korea Trade
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• v.27 no.2
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• pp.22-46
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• 2023

Purpose - study aims to investigate the relationships between global value chain (GVC)- and transportation-related determinants and economic performance. Also, moderating effects of COVID-19 on the relationships are theoretically and empirically discussed. A limitation of previous studies includes their over-reliance on the opportunities of GVC participation and larger transportation. This study represents the challenges associated with them. Also, it shows how GVC and logistics can be difficult in case of a market fluctuation such as COVID-19. Design/methodology - The sample for this study includes 828 observations from 138 countries. A semi-panel data set has been used. Six observations for each country are used to empirically test the hypotheses and a Two-way cluster model is conducted. Findings - It is confirmed that GVC forward participation contributes more than the backward participation to enhance performance. Transportation infrastructure is critical, but large scales of marine and air transportations are not positive in terms of economic performance. Stricter government response to COVID-19 negatively moderates economic performance by GVC backward participation and transportation infrastructure. Originality/value - The spread of COVID-19 is causing a severe collapse of GVC and transportation. This study empirically verifies the moderating effects of the government stringency on GVC and transportation. Previous studies usually discuss a positive impact of GVC and transportation size on economic performance. However, this study aims to show various challenges behind GVC participation and large scale transportation.

• Journal of Cadastre & Land InformatiX
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• v.44 no.2
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• pp.177-192
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• 2014

The factors that affect on the ratio of monthly rent to total rents in commercial real estate lease contract was empirically investigated. The theoretical basis for the research was location theory, retail trade-area analysis, bid rent, agglomeration theory, and demand externality theory. The data used in this study included information on goodwills per 3.3 square meters, deposit money per 3.3 square meters, retail rents per 3.3 square meters, and passing pedestrians' characteristics in 96 retail trade areas in South korea. As the results, using the hedonic price functions and multi-regression analysis, the independent variables does affect the ratio of monthly rent to total rents in the each retail trade area were goodwills per 3.3 square meters, deposit money per 3.3 square meters, retail rents per 3.3 square meters, and the number of Small Wholesale Retail Trade Firms at the level of nation. also, the results show goodwills per 3.3 square meters and the number of Small Wholesale Retail Trade Firms are important factors in determining the ratio of monthly rent to total rents in commercial real estate lease contract in seoul. In summary, not only the economic conditions in the retail trade area but also the passing pedestrian count should be considered to determine the ratio of monthly rent to total rents in commercial real estate lease contract.

• Journal of information and communication convergence engineering
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• v.5 no.2
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• pp.131-135
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• 2007

In this paper, The proposed algorithm consists of three steps. In the first step, TD(Transition Density) calculation has to be performed. a CLB-based CPLD low-power technology mapping algorithm considered a Trade-off is proposed. To perform low-power technology mapping for CPLDs, a given Boolean network has to be represented in a DAG. Total power consumption is obtained by calculating the switching activity of each node in a DAG. In the second step, the feasible clusters are generated by considering the following conditions: the number of inputs and outputs, the number of OR terms for CLB within a CPLD. The common node cluster merging method, the node separation method, and the node duplication method are used to produce the feasible clusters. In the final step, low-power technology mapping based on the CLBs packs the feasible clusters. The proposed algorithm is examined using SIS benchmarks. When the number of OR terms is five, the experiment results show that power consumption is reduced by 30.73% compared with TEMPLA, and by 17.11 % compared with PLA mapping.

• Journal of the Korean Data and Information Science Society
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• v.23 no.5
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• pp.867-880
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• 2012

Parrondo paradox is the counter-intuitive situation where individually losing games can combine to win or individually winning games can combine to lose. In this paper, we derive the expected profit per trade for each portfolio when we trade stocks everyday under the spatially dependent Parrondo game rule. Using stock data of KRX (Korea Exchange) from 2008 to 2010, we show that Parrondo paradox exists in the stock trading.