• Korea Trade Review
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• v.46 no.3
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• pp.1-24
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• 2021

The Belt and Road Initiative (BRI) is designed to intensify bilateral trade between China and the BRI countries through the improvement of transportation connections. However, little research has empirically investigated the impacts of this policies on the trade patterns. This paper attempts to evaluate the impacts of BRI on the trade patterns of Tanzania. Our study extends the original gravity model of bilateral trade by adding GDP per capita, population and proximity as the explanatory variables. According to our research, we observed that the BRI significantly impacted the Tanzania's trade patterns, as it led to the increase of bilateral trade flow between Tanzania and China more importantly between Tanzania and its adjacent countries. It indicates that the Belt and Road Initiative (BRI) has boosted Tanzania's trade exclusively, hence the Tanzania's export sector earns greater trading potential with the adjacent countries.

• THE INTERNATIONAL COMMERCE & LAW REVIEW
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• v.49
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• pp.461-490
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• 2011

The purpose of this study is to examine which factors are encouraging SMEs to participate in uTradeHub(focused on the uTrade search service) in terms of product characteristics and sourcing patterns. The three factors encouraging Trade e-Marketplaces are identified in this study. First, internal factors include the support of top management, mature of IT infrastructure. Second, external factors include the pressure of industry, industry competition, dependence of trading partners. Third perception factors are perceived Usefulness, perceived easy of use. The empirical analysis had the following results. First, it reveals that support of top management, mature of IT infrastructure, industry competition have significant influence upon uTrade Search Services. On the other hand, pressure of industry, dependence of trading partners, Perceived relative benefits are not significant variable of the participation in uTrade Search Services. Second, the factors affecting the participation in uTrade Search Services are differentiated in terms of product characteristics and sourcing patterns. And the support of top management, mature of IT infrastructure, Perceived relative benefits are emphasized very important factors affecting the participation of uTrade Search Services in SMEs. The industry competition is recognized as more important factor in horizontal market in which Spot sourcing just like Operating products is trading. On the other hands, the dependence of trading partners are significant factor in vertical market in which Systemic sourcing just like Manufacturing products is trading.

• THE INTERNATIONAL COMMERCE & LAW REVIEW
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• v.13
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• pp.681-698
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• 2000

As volume of international trade is growing importance for service business and service trade are also increasing. Increasing importance of service trade in Korea is also a reflection of such international trading. In this treatise this writer did not address various topics in relation to international trade arising from service trade. But confined the topic to study of concept of service and concept and patterns of service trade. Depending on scholars concept of service may be varied and this holds true also with concept of service trade which also lends itself to various classification. Among them if the focus is concentrated to tax standard in international trade then it can be classified into service transaction. In other words classification can be made according to service trade separated from commodities transaction with embodiment of service and service trade accompanying commodities transaction. In this treatise this writer confined the topic to introduction of international service trade but issues arising in relation to such trade internationally are varied. For this reason more study on such topics will be required in future.

• Journal of the Economic Geographical Society of Korea
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• v.3 no.1
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• pp.35-51
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• 2000

International trade flows have been determined by social, cultural and political environment around the world as well as economic elements. The environment of international trade has changed rapidly as the world has globalized. Significant changes have been generated in the international trade flows. This study investigates the influences of economic globalization on the international trade flows. The changes in international trade flows examined comprehensively by integrating trade with industrial locations, investment, and the various trade related environments. The focus laid on the integration of world economies, such as widening and intensifying international linkages in economic, political and social relation. Special concerns are laid on the impacts of Foreign Direct Investments (FDI) by Trans National Corporations (TNCs), which affect the supply-demand distributions of commodities by industrial relocations, and the expansion of intra-firm trade flows on the international trade flow patterns. The geographical characteristics of tile origins and destinations of FDI flows analyzed, since the spatial patterns of the intra-firm trade flows are determined by them. The FDI and intra-firm trade flow patterns have changed significantly over time.

• Journal of the Korean Society for Aviation and Aeronautics
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• v.27 no.4
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• pp.44-51
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• 2019

This study analyzes the trade patterns that occur between Korea and ASEAN countries through air transport, one of Korea's trade transport methods. In order to understand the detailed characteristics of the air transport sector, the dependent variables were analyzed by dividing them into amount and weight. As a result, the amount of exports, imports, and trade was proportional to GDP per capita representing income level, and inversely proportional to GDP representing national economic power. In terms of air transport weight, exports, imports and trade were all proportional to GDP representing economic power and inversely proportional to GDP per capita representing income levels. In addition, the national area acted as a factor to reduce the trade volume, and the number of airports and inland countries did not show any significant results.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.7
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• pp.403-411
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• 2021

This study discusses the influence of economic factors on the clothing exports from China and 15 South and Southeast Asian countries to the United States. A basic gravity trade model with three predictors, including the GDP value produced by exporting and importing countries and their geographical distance was established to explain the bilateral trade patterns. The conventional approach of multiple regression and the novel approach of Artificial Neural Networks (ANNs) were developed based on the value of clothing exports from 2012 to 2018 and applied to the trade pattern prediction of 2019. The results showed that ANNs can achieve a more accurate prediction in bilateral trade patterns than the commonly-used econometric analysis of the basic gravity trade model. Future studies can examine the predictive power of ANNs on an extended gravity model of trade that includes explanatory variables in social and environmental areas, such as policy, initiative, agreement, and infrastructure for trade facilitation, which are crucial for policymaking and managerial consideration. More research should be conducted for the examination of the balance between developing countries' economic growth and their social and environmental sustainability and for the application of more advanced machine-learning algorithms of global trade flow examination.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.2
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• pp.157-168
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• 2020

Since the economic crisis sweeps across the world in 2008, the foreign direct investment of various countries has been greatly impacted. Therefore, this paper regards China as an example to analyze China's outward foreign direct investment patterns in terms of Asian financial markets with a panel data over the period 2003-2017. We mainly focus on the money market oriented outward foreign direct investment and foreign exchange market oriented outward foreign direct investment. Using the individual fixed effect model to conduct empirical analyses, the empirical findings indicate that China will reduce its foreign direct investment amount to a country with large money supply and China will increase its foreign direct investment amount to a country with large foreign exchange reserves. Furthermore, when a country has signed Free Trade Agreement with China, China will increase more foreign direct investment amount to these countries than that of a country who has not signed Free Trade Agreement with China. Moreover, the empirical findings indicate that no matter what the money market oriented outward foreign direct investment or foreign market oriented outward foreign direct investment, China will reduce its foreign direct investment amount to these Asian countries due to the global economic crisis.

• Journal of Korea Trade
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• v.27 no.1
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• pp.139-158
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• 2023

Purpose - The study of co-movements between stock markets is a crucial area of finance and has recently received much interest in a variety of studies, especially in international finance. Stock market co-movements are a major phenomenon in financial markets, but they are not necessarily independent of the real market. Several studies support the idea that bilateral trade linkages significantly impact stock market correlations. Motivated by this perspective, this study investigates whether real market integration due to trade agreements brings about financial market integration in terms of stock market co-movement. Design/methodology - Over the 10 free trade agreements (FTAs) signed by the United States, using a dynamic conditional correlations (DCC) multivariate GARCH (MGRACH) model, we empirically measure the degree of integration by finding DCCs between the US market and the partner country's market. We then track how these correlations evolve over time and compare the results before and after trade agreements. Findings - According to the empirical results, there are positive return spillover effects from the US market to eight counterpart equity markets, except Jordan, Morocco, and Singapore. Especially Mexico, Canada, and Chile have large return spillover effects at the 1% significance level. All partner countries of FTAs generally have positive correlations with the US over the entire period, but the size and variance are somewhat different by country. Meanwhile, not all countries that signed trade agreements with the United States showed the same pattern of stock market co-movement after the agreement. Korea, Mexico, Chile, Colombia, Peru, and Singapore show increasing DCC patterns after trade agreements with the US. However, Canada, Australia, Bahrain, Jordan, and Morocco do not show different patterns before and after trade agreements in DCCs. These countries generally have the characteristic of relatively lower or higher co-movements in stock markets with the US before the signing of the FTAs. Originality/value - To our knowledge, few studies have directly examined the linkages between trade agreements and stock markets. Our approach is novel as it considers the problem of conditional heteroscedasticity and visualizes the change of correlations with time variations. Moreover, analyzing several trade agreements based on the United States enables the results of cross-country pairs to be compared. Hence, this study provides information on the degree of stock market integration with countries with which the United States has trade agreements, while simultaneously allowing us to track whether there have been changes in stock market integration patterns before and after trade agreements.

• Journal of the Korean Data and Information Science Society
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• v.22 no.2
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• pp.255-267
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• 2011

The aim of this study is to utilize system trading for making investment decisions and use technical analysis and Dynamic Time Warping (DTW) to determine similar patterns in the frequency of stock data and ascertain the optimal timing for trade. The study will examine some of the most common patterns in the futures market and use DTW in terms of their frequency (10, 30, 60 minutes, and daily) to discover similar patterns. The recognized similar patterns were verified by executing trade simulation after applying specific strategies to the technical indicators. The most profitable strategies among the set of strategies applied to common patterns were again applied to the similar patterns and the results from DTW pattern recognition were examined. The outcome produced useful information on determining the optimal timing for trade by using DTW pattern recognition through system trading, and by applying distinct strategies depending on data frequency.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.11
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• pp.107-120
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• 2021

The development of the ethnic minorities and mountainous areas (EMMA) is currently receiving the attention of countries around the world. This is demonstrated through a large number of studies, in many respects, in many different countries. The objective of the study is to find out the current situation of the commodity market in the ethnic minorities and mountainous areas (EMMA) of Vietnam. In particular, the authors will study whether there is a link between the ability to access governmental policies and the characteristics of this commodity market. To achieve the goal, the authors employed the secondary data collection method to gather the relevant information on government policies for EMMA and conducted an interview of seventy (70) enterprises in the Northern midlands and mountainous regions and the Central Coast to clarify the characteristics of commodity market. By Levene's test, the results showed that the accessibility to governmental policies has a certain influence on the development of the commodity market patterns in the EMMA in terms of diversification of distribution forms and sales method of the business. These findings brought some basic solutions to further enhance the role of the government in developing commodity markets in the EMMA of Vietnam.