• KOREAN JOURNAL OF PACKAGING SCIENCE & TECHNOLOGY
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• v.21 no.1
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• pp.11-17
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• 2015

The increase of international and domestic trade according to global industrialization and economic growth has raised the national logistic cost in connection with physical distribution of articles. In order to reduce these costs and rise up national industrial competitiveness, Korea has also tried to improve the efficiency of logistics with various methods as advanced countries did. Especially, Korea government has decided standard dimension of pallets with T11 ($1100{\times}1100mm$) on the basis of unit load system in early 2000s, and certification program for logistics equipments has been operated to keep up the compatibility for the equipments and packaging with modulation of T11. Consequently, this certification program has contributed to extend standardization for logistics and to grow up 3 party logistics, but compared with advanced countries, the rate of national logistics cost to GDP (gross domestic product) still shows about 3% gap as demands for certification have been decreased in the recent. In this study, therefore, we proposed the development of logistics certification system based on social needs as a policy device to activate logistic industry as well as improve the efficiency of national logistics after we had analyzed all of certification programs for logistics being run in Korea. Namely, the first is the development of certification project for Northeast Asia's logistics corresponding to necessity for applying returnable transport system according to increasing the amount of trade between Northeast Asia's countries. The second is the development of certification project for safe transportation of packaging corresponding to costumer's needs for safe transit according to the growth of electronic commerce and the increase of global distribution.

• Journal of Environmental Policy
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• v.8 no.4
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• pp.1-24
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• 2009

As commercial use of genetic resources increases in modern society, calls for fair and equitable sharing of the benefits thereof have become increasingly prominent, particularly from developing countries. As a result, negotiations have been ongoing for the "International Regime on Access and Benefit Sharing (ABS)" for genetic resources as a successor to the non-binding Bonn Guideline. 2010 has been set as the target date for the Agreement. As South Korea is more likely to be a user country of genetic resources, it will be necessary for it to take part in the negotiating process and contribute to creating the International Regime on ABS, to ensure both appropriate access to genetic resources and fair and equitable sharing of the benefits arising there from. To develop appropriate response strategies for South Korea, it is critical not only to closely examine the negotiations within the framework of the CBD but also to engage in discussions within thescope of related international organizations and domestic legislation. To achieve this goal, it is imperative for South Korea to form a comprehensive Government Response System, composed of relevant governmental bodies including the Ministry of Foreign Affairs and Trade, and the Ministry of Environment, etc.

• Journal of Intelligence and Information Systems
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• v.27 no.4
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• pp.73-95
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• 2021

This study uses Node2vec graph embedding method and Light GBM link prediction to explore undeveloped export candidate countries in Korea's food and beverage industry. Node2vec is the method that improves the limit of the structural equivalence representation of the network, which is known to be relatively weak compared to the existing link prediction method based on the number of common neighbors of the network. Therefore, the method is known to show excellent performance in both community detection and structural equivalence of the network. The vector value obtained by embedding the network in this way operates under the condition of a constant length from an arbitrarily designated starting point node. Therefore, it has the advantage that it is easy to apply the sequence of nodes as an input value to the model for downstream tasks such as Logistic Regression, Support Vector Machine, and Random Forest. Based on these features of the Node2vec graph embedding method, this study applied the above method to the international trade information of the Korean food and beverage industry. Through this, we intend to contribute to creating the effect of extensive margin diversification in Korea in the global value chain relationship of the industry. The optimal predictive model derived from the results of this study recorded a precision of 0.95 and a recall of 0.79, and an F1 score of 0.86, showing excellent performance. This performance was shown to be superior to that of the binary classifier based on Logistic Regression set as the baseline model. In the baseline model, a precision of 0.95 and a recall of 0.73 were recorded, and an F1 score of 0.83 was recorded. In addition, the light GBM-based optimal prediction model derived from this study showed superior performance than the link prediction model of previous studies, which is set as a benchmarking model in this study. The predictive model of the previous study recorded only a recall rate of 0.75, but the proposed model of this study showed better performance which recall rate is 0.79. The difference in the performance of the prediction results between benchmarking model and this study model is due to the model learning strategy. In this study, groups were classified by the trade value scale, and prediction models were trained differently for these groups. Specific methods are (1) a method of randomly masking and learning a model for all trades without setting specific conditions for trade value, (2) arbitrarily masking a part of the trades with an average trade value or higher and using the model method, and (3) a method of arbitrarily masking some of the trades with the top 25% or higher trade value and learning the model. As a result of the experiment, it was confirmed that the performance of the model trained by randomly masking some of the trades with the above-average trade value in this method was the best and appeared stably. It was found that most of the results of potential export candidates for Korea derived through the above model appeared appropriate through additional investigation. Combining the above, this study could suggest the practical utility of the link prediction method applying Node2vec and Light GBM. In addition, useful implications could be derived for weight update strategies that can perform better link prediction while training the model. On the other hand, this study also has policy utility because it is applied to trade transactions that have not been performed much in the research related to link prediction based on graph embedding. The results of this study support a rapid response to changes in the global value chain such as the recent US-China trade conflict or Japan's export regulations, and I think that it has sufficient usefulness as a tool for policy decision-making.

• International Commerce and Information Review
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• v.16 no.4
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• pp.307-330
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• 2014

The purpose of this study is to estimation of Technical Barriers of Trade(TBT) between Korea and China. TBT is one of the key issues in which both governments are interested since the Korea-China FTA negotiations had launched in 2012. In this paper, we aggregate nine country HS codes from World Bank and AIO codes from JETRO. Our estimation model based on modified price wedge approach differentiate previous researches in the sense that it covers all manufacture industries and uses nine country data set. Estimation results confirm the importance of TBT showing that TBT high ranking items significantly overlap high ranking export items. We also find that the size of Chinese TBT are much larger than that of Korean TBT, implying that Korean government needs smart and well prepared strategy for key items in TBT/FTA negotiation with Chinese government.

• International Commerce and Information Review
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• v.16 no.4
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• pp.247-261
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• 2014

In this study, it investigates the highly controversial issue "low carbon car subsidy". Through the policy's intent, purpose, and necessity, it aims to present alternatives for automotive industry development. Introducing the low carbon car subsidy will bring a huge change to the vehicle purchase practices by changing vehicle purchase cost. It expects that this change will reduce greenhouse gas emission from vehicles. For successful settlement of the system, it shall set up the target sections for subsidy and levy appropriately in order to get the nation's consensus. Additionally, it has to conduct sufficient reviews the measures such as adjustment to the existing auto tax, divided payments of burden charge, etc before enforcing the system. In terms of the automobile industry, it must do their level best in technical development in order to meet the carbon dioxide emission level of imported cars until the enforcement. Also, the government has to strengthen its support to the industry.

• International Commerce and Information Review
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• v.14 no.3
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• pp.209-227
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• 2012

Northeast Asia where is an epicenter of the global financial crisis's conquest is traditional imbalanced region of oil production and consumption. In recent years, the region has been suffered by the shortage of oil storage and transportation facilities due to surging oil trading and necessity in strategic reserves. Therefore, since independent petroleum logistics with the storage facilities and oil trading hub is required to form efficient oil market in this region. In this study, we analyzed the efficiency of refinery facilities by country that is of importance in being a logistics hub in Northeast Asia by employing non-static and dynamic efficiency analysis, which are a part of DEA(Data Envelopment Analysis) and then policy implications have been drawn. The result illustrates Korea's is the highest country in terms of efficiency of oil refining facilities in Northeast Asia. It implies that Korea has strong position to be the oil hub in Northeast Asia.

• Journal of Environmental Policy
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• v.10 no.3
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• pp.73-91
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• 2011

The fisheries in East Asia are reviewed in conjunction with climate change and social-economic developments in the 20th century. About one third of the human population resides in this region, producing a large share of the world's fisheries products, consuming them, and contributing significantly to the international trade of the products. Ongoing local and global climate changes, as well as ocean warming and acidification, are anticipated to have significant impacts on fisheries. Frequent typhoons have brought untold calamities and miseries to coastal communities. The rate of environmental change is outpacing our ability to respond effectively. The science must now move beyond identifying issues and toward providing sound bases for the development of innovative solutions, including effective adaptation and mitigation strategies. Fisheries management plans must be made to consider both changes in climate and social systems. It seems logical that an international forum should be made available to coordinate scientific research, management, and conservation of the region's fishery resources.

• The Journal of Industrial Distribution & Business
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• v.10 no.1
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• pp.69-76
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• 2019

Purpose - The purpose of this paper is to empirically investigate the effectiveness of Offcial Development Assistance (ODA) in recipient countries' economy. ODA is designed to mitigate poverty and stimulate economic growth in the developing countries. We classify total ODA into bilateral ODA and multilateral ODA depending on the number of donor countries. If the ODA flows from one donor country to one recipient country, it is classified as bilateral ODA. If the multiple countries simultaneously become donor countries through the international organizations such as United Nations and World Bank, it is classified as multilateral ODA. This paper compares the effect of bilateral ODA and multilateral ODA in determining recipient countries' economic development, and tries to provide policy implications to Korean ODA. Research design, data, and methodology - Our primary explanatory variables are bilateral and multilateral ODA. Private credit in recipient countries is adopted as additional explanatory variables to capture the level of financial development in recipient countries. We measure the ODA effectiveness using economic growth and quality of life of the recipient countries as the dependent variable. We collect 142 recipient countries' data from OECD statistics, during the period from 1970-2014. Panel least squares estimation with country fixed effect is employed as the empirical model. Results - Our results support that ODA variable has a negatively significant impact on recipient countries' economic growth, while it is positively correlated with human development index. Recipient countries' private credit is positively correlated with economic growth and human development index. The interaction variable of ODA and financial development turns out to be significant in general. We find that the positive effect of ODA depends on recipient countries' financial market development and this effect is stronger in multilateral aid than bilateral one. Conclusions - From the analysis, we have confirmed that the recipient countries financial development is the necessity condition to achieve positive effect of ODA. Based on these results, we suggest that Korean government should increase the share of multilateral funding and pay attention to recipient countries' financial market development to maximize the effectiveness of ODA.

• International Commerce and Information Review
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• v.11 no.2
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• pp.343-367
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• 2009

This research is about global investment for managing the important position, what Korea is doing in World's main market. Considering there are some differences between developed countries' model and developing countries' model in doing direct overseas investment, they target to get political agreement and develop the new invest plan and strategy by understanding changes of Korean manufacturing companies in direct overseas investment between 2000 and 2007 and analyzing the change of yearly investment motivation factors and determining factors for investment. The result from this result let us know that company should develop their own idea for their competitive advantage by doing direct overseas investment with the existing theory which convinces the need of competitive advantage for investing overseas. I set actual model and analyze results from it with the considering that it is so important to get knowledge and information for globalizing companies to invest overseas and companies, which want to be world leading ones for their field through innovation and changes, need to have more active strategy. And, the overseas investment, which was already done in other countries, 1. Review its realities and tendency in terms of investing countries, investing industries, and its scale. 2. Set up an actual model, based on strategic combination of investing location select and determination of Korean manufacturing companies and yearly investing factor-effect analysis. 3. Analyze how the situational factors have influenced and what factors would be considered for direct overseas investment. From the analyzing result, even though it is fairly true that raising wage and getting resources, avoiding customs, and developing alternating industries for export had influenced at the beginning, overseas investing companies' policy will be influenced by the results from studying marketing-pursuit type, which emphasizes to manage trade income and outgo, keeping the balance in the black, ensuring raw materials, local producing and manufacturing by using low-wage people for local sale, and situation for changing investing tendency as service industry.

• International Commerce and Information Review
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• v.11 no.1
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• pp.95-116
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• 2009

Korea-Us FTA negotiation started in February 2006 with a view to overcoming those uncertainties in the global market and was finally concluded in April, 2007. The Agreement was officially signed between ministers two month later and it is expected to be ratified this year even though the process is most likely to be painful in both countries by the political resistances. For the new President of the United States, effective leadership will depends largely on how to encourage domestic industries such as Automobile industry and Iron and Steel industry from the financial crisis. Many trading partners of US worry about US foreign trade policy changes to protectionism that might be unequal to bear. Korea textile industry is one of the major industry in Korea as it occupies 15% of total number of manufacturers, 11% of total employment and 5% of national GDP. Korea-US FTA will provide a breakthrough for bouncing back by exploring new market. US agreed to remove all tariff and non-tariff barriers to 87% of textile items under trading. This study shows that Korean textile industry has been losing it's competitiveness as textile quota system abolished in the year 2005 and has been traced by pursuers such as China, India and Vietnam. In case of woven fabric which was a representing export item of Korea lost price competitiveness against China after 2005. This study seeks the strategy of Korea textile industry in the US market by utilizing the capacity of KOTRA offices in US. All possible statistical data obtained in the US were used for analysing the competitiveness. Fabrics and Garments are analysed independently with a view to finding out real trends of textile market in US. This study also suggest Korea's textile industry strategic ideas obtained from the potential buyers to show the way to penetrate into US market.