• Asia-Pacific Journal of Business
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• v.12 no.1
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• pp.121-134
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• 2021

Purpose - This study examines whether flight-to-liquidity (FTL) explains the dynamic liquidity risk on stock returns, and whether it has a significant influence on determinants the cross-section of stock returns. Design/methodology/approach - This study suggests a new risk factor, dynamic liquidity hedge portfolio (DLP), to reflect the dynamic impact of liquidity risk on stock returns and the Fama-MacBeth 2 stage regression analysis is employed in order to analyze the data. Findings - First, the DLP factor shows more positive and significant beta for the small or illiquidity stocks. Second, the DLP shows a different influence than SMB (size risk factor), HML (value risk factor), NMP (liquidity risk factor), FTVOL (total volatility factor) in determining the cross-section of stock returns. In addition, the DLP has a statistically significant risk premium of around 5%, which is relatively larger than other risk factors. Research implications or Originality - This study has academic value in terms of newly confirming that the DLP factor has a more significant impact on cross-sectional determination of stock returns than other risk factors by proposing a conditional liquidity factor that can explain the FTL phenomenon.

• Journal of Information Processing Systems
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• v.17 no.3
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• pp.645-657
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• 2021

Along with the rapid development of the economy, the urban scale has extended rapidly, leading to the formation of different types of urban function districts (UFDs), such as central business, residential and industrial districts. Recognizing the spatial distributions of these districts is of great significance to manage the evolving role of urban planning and further help in developing reliable urban planning programs. In this paper, we propose an automatic UFD division method based on big data analysis of point of interest (POI) data. Considering that the distribution of POI data is unbalanced in a geographic space, a dichotomy-based data retrieval method was used to improve the efficiency of the data crawling process. Further, a POI spatial feature analysis method based on the mean shift algorithm is proposed, where data points with similar attributive characteristics are clustered to form the function districts. The proposed method was thoroughly tested in an actual urban case scenario and the results show its superior performance. Further, the suitability of fit to practical situations reaches 88.4%, demonstrating a reasonable UFD division result.

• The Journal of Economics, Marketing and Management
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• v.8 no.1
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• pp.20-28
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• 2020

Purpose: This research explores possibilities for unique tourism programs in the Port of Incheon that would bring tourism benefits from the cruise line industry to Incheon. This research also tries to find practical strategies and principles for the cruise line industry by reviewing the current itinerary in the cruise line industry. Research design, data, and methodology: Because this study is exploratory research, it first reviews trends in global tourism, ocean tourism, and the cruise line industry. Then, this study compares the current status of cruise line industry in South Korea with those in Japan. Lastly, existing cruise itineraries are reviewed for practical strategies and principles. Results: Based on reviewing the example of a cruise ship itinerary from the cruise ship company, possible cruise line programs at stopover places are suggested for the Port of Incheon and if the program is planted, it will boost Incheon's economy and tourism industry. Conclusion: Basic data about tourism in coastal regions and data analyses are lacking. Therefore, this study not only recommends further research in itinerary development or evaluation of cruise stopover programs, but also future research should explore the impact of the cruise industry from many different perspectives.

• Journal of Korea Trade
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• v.26 no.2
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• pp.65-83
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• 2022

Purpose - The purpose of this study is to evaluate the economic effects of FTAs using the concept of value-added exports. So far, the economic effects of FTAs have been dependent on decrease in import prices due to tariff cuts in importing countries, but the actual tariff reduction need to consider the value added of the exporting countries. Design/methodology - Value-added export refers to the added value created in the exporting country out of total exports. Among value-added exports, direct value-added export is interpreted as the Regional Value Contents (RVC), from which the economic effect of the FTA can be analyzed. A modified GTAP-VA model takes into account RVC in order to estimate accurate effects of FTAs. Findings - By the re-evaluation of the FTA based on the RVC, this paper makes it clear that the economic effects of the existing FTA methodology have the possibility of overestimation. In addition, as a new FTA with a strengthened Rules of Origin (ROO) is being initiated, a negative impact on international trade and GVC utilization may occur. Originality/value - This study introduces the concept of value-added export in analyzing the effects of FTAs. The new analysis methodology of this paper emphasizes the importance of value-added exports. Re-organization of GVCs would change regional trade agreements and empower ROO by weakening existing GVCs and transforming the value chain from global into regional scope.

• Journal of Navigation and Port Research
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• v.46 no.5
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• pp.449-457
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• 2022

The Port of Busan is currently ranked as the seventh largest container port worldwide in terms of cargo throughput. However, port competition in the Far-East region is fierce. The growth rate of container throughput handled by the port of Busan has recently slowed down. In this study, we analyzed how economic conditions and multiple external shocks could influence cargo throughput and identified potential implications for port business. The aim of this study was to build a model to accurately forecast port throughput using the ARIMA model, which could incorporate external socio-economic shocks, and the VEC model considering causal variables having long-term effects on transshipment cargo. Findings of this study suggest that there are three main areas affecting container throughput in the port of Busan, namely the Russia-Ukraine war, the increased competition for transshipment cargo of Chinese ports, and the weaker growth rate of the Korean economy. Based on the forecast, in order for the Port of the Port of Busan to continue to grow as a logistics hub in Northeast-Asia, policy intervention is necessary to diversify the demand for transshipment cargo and maximize benefits of planned infrastructural investments.

• Wind and Structures
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• v.37 no.2
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• pp.105-115
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• 2023

Structural design includes calculation of the wind speed as one of the major steps in the design process for wind loading. Accurate determination of design wind speed is vital in achieving safety that is consistent with the economy of construction. It is noticeable that many countries and regions such as Hong Kong, Japan and Australia regularly make amendments to improve the accuracy of wind load estimations for their wind codes and standards. This study compares the latest Hong Kong wind code published in 2019, which is generally known as the Code of Practice on Wind Effects in Hong Kong - 2019, with the latest revision of the AIJ Recommendations for Loads on Buildings - 2015 (Japan), and the Australian/New Zealand Standard, AS/NZS 1170.2:2021. The comparisons include the variations between the design wind speed and the vertical profiles of wind speed multipliers. The primary purpose of this study was to show any differences in the basic design wind speed and exposure factor estimations among the three economies located in the Western Pacific Ocean. Subsequently, the reasons for such underlying variations between the three documents, are discussed, together with future development trends.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2022.06a
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• pp.204-206
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• 2022

The global economy and the air transport business have been affected since the spread of the COVID-19 pandemic. As countries tighten restrictions on international movements, the growing emphasis on air cargo puts pressure on airports to maintain and upgrade their cargo policies, facilities, and operations. Hence, ensuring the competitiveness of cargo airports becomes pivotal for airports survival under the volatile global demand. The study aims to evaluate the importance of the competitiveness factors for cargo airports and identify areas for further improvement. The study applies the Best-Worst Method (BWM) to assess the cargo airports' competitiveness factors: 'Transport Capacity,' 'Airport Operations and Facility Capacity,' 'Economic Growth,' 'Financial Performance,' and 'Airport Brand Value.' The selected airports include Heathrow Airport, Aéroport de Paris-Charles de Gaulle, Hong Kong International Airport, and Incheon International Airport. The results identify 'Transport Capacity' as the most significant competitiveness factor, and Hong Kong International Airport the best performing cargo airport. This research forms a reference framework for evaluating cargo airports' competitive position, which may help identify airports' relative strengths and weaknesses. Moreover, this framework can also serve as a tool facilitating the strategic design of airports that may accommodate both air cargo and passenger demand flexibly under the demand uncertainty.

• Korea Trade Review
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• v.47 no.5
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• pp.241-251
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• 2022

As a 4th industrial revolution technology, robots are changing the form of labor market and trade in Korea. In the future, changes in the international trade order are expected to move in the direction of shortening global supply chains and restricting trade between countries. Accordingly, reshoring of relocating overseas production facilities to Korea or near-shoring of relocating overseas production facilities to neighboring allies may expand. In this context, this study analyzed the impact of robot introduction on the domestic labor market and trade based on firm-level data. As a result of analysis based on the 'business activity data' accumulated from 2017 to 2019, the introduction of robot technology was analyzed to expand low-wage, low-skilled employment. Analysis on trade shows that the introduction of robots decreases exports and increases imports. In order to expand exports through the technology of the 4th industrial revolution, employment expansion and robot introduction should occur at the same time, rather than replacing the labor force with robots. In addition, it is thought that reshoring's goal of risk management can be achieved when a stable supply chain for imports of raw materials or essential goods, which are difficult to transfer to Korea, is established together.

• The Journal of Economics, Marketing and Management
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• v.12 no.3
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• pp.1-12
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• 2024

Purpose: As a major economy attracting foreign investment, China is currently facing significant international economic pressure due to the appreciation of the RMB. Additionally, China is at a critical period of socio-economic development, where foreign direct investment (FDI) plays an indispensable role in stabilizing economic growth, adjusting industrial structure, and promoting economic transformation. Research design, data and methodology: This paper focuses on the relationship between RMB exchange rate expectations and FDI. It examines the magnitude of their relationship through empirical research using cointegration tests, Granger causality tests, and BVAR (Bayesian Vector Autoregression) analysis. Results: The comprehensive study of the empirical results in this paper concludes that there is a long-term cointegrated relationship between China's RMB exchange rate expectations and foreign direct investment, indicating that their relationship is stable in the long run. It is also found that RMB exchange rate expectations have a significantly positive impact in the short term, but this impact is not significant in the long term. Conclusions: The paper also considers the possibility of establishing a China-EU Free Trade Area in the future and offers policy recommendations regarding RMB exchange rate expectations and foreign direct investment.

• Journal of Advanced Marine Engineering and Technology
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• v.41 no.1
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• pp.8-14
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• 2017

Due to the financial crisis in 2008, the world economy collapsed leading to an increase in oil prices and a decrease in freight by shipping. To overcome this crisis, major shipping companies ordered larger ships, changed their trading route and improved operating of ships to overcome deficits. In particular, low-speed navigation was much favored by many companies so that it can reduce fuel consumption. However, the long-term operation of high-speed optimized engines in low-speeds has affected the jacket cooling fresh water (J.C.F.W.) system as they fail to maintain the normal operational temperature. The temperature of J.C.F.W. system dropped leading to low temperature corrosion. As a result, when the engine is operating at minimal load the functioning of existing J.C.F.W cooler is decreased and the use of fresh water generator is substantially limited. Therefore, an improvement in the functioning of J.C.F.W. system is necessary. In this paper, in order to review the improvements required for the operation of J.C.F.W. of low-speed operating marine diesel, an experiment was conducted by comparing and analyzing the results of the main engine J.C.F.W. system of a Panamax class bulk carrier 82k and a Cape class bulk carrier 180k by installing and uninstalling the J.C.F.W. Cooler. Thus, this paper proposed an improved design of the J.C.F.W. system that is suitable for the present low-speed operation.