• The Journal of the Korea Contents Association
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• v.10 no.9
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• pp.146-154
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• 2010

Korean TV program market has started since 1995 along with Cable TV and local TV stations and increased significantly due to Korean wave. Now the new platform such as IPTV makes a new opportunity of growth to the TV program market. This study will analyse the actual status and mechanism of Korean TV program market. To begin, Korean TV market is still dominated by terrestrial TV in domestic distribution market and in exportation even though the windows are diversified. This has influenced not only for the production market but also the distribution market as the following: continuous conflicts between terrestrial TV and independent production companies even though the significant increase of independent production in quantity ; terrestrial TV's dominance in distribution market with enormous libraries as for the major content provider. In addition, there are limited independent distributors due to the exclusive trade of TV programs by terrestrial TV. As for the exportation, foreign market for Korean TV programs are mainly Asian countries like Japan, China, etc. Furthermore, since the genre of distribution has been concentrated in dramas, it is time to make efforts to find a solution. Thus, this research can give a guideline as for the first step.

• Journal of KIISE:Computing Practices and Letters
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• v.15 no.5
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• pp.331-344
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• 2009

Recently, it is expected that the agricultural and stockbreeding industry are damaged by the China-Japan-South Korea FTA and FTA between the United States and South Korea. After free trade, it is increasing to import crops, aquatic products, and livestock which are produced in a foreign land. But it is affected negatively to the trust relationships and markets, because of breaking it out that low grade foreign products are turned into domestic products. For this reason, we need the traceability management system. In this paper, it designs and implements the traceability management system using RFID and USN providing distribution traceability information as well as the traceability information of the growth environment, automatic control according to the facility growing and monitoring of the storehouse. The implemented whole systems consist of the growth environment monitoring and the traceability management. First, the growth environment monitoring shows the environment of plantation and automatic controller of the storehouse and growing facility. This growth environment monitoring information provides the detailed information about growth environment and writing the farming diary automatically by producer. Second, the traceability management provides all of the traceability information such as production, shipment and consumption to consumers. The traceability management system that has been designed and implemented using RFID and USN in this paper, provides the u-IT agriculture to producer and the reliability about agricultural products. In addition, this system provides the foundation data to operate GAP and HACCP, and becomes the advantaged agricultural products of the interior of a country by application of this system.

• Journal of the Korea Fashion and Costume Design Association
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• v.9 no.1
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• pp.141-148
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• 2007

As Backje(B.C. 18-A.D. 600) is the whole area of Chungcheong, Jeonra, Kangwon and Gyeongsang provinces, the son of the founder of Goguryeo, King Onjoe, making the castle Wu'irae capital of the nation, founded Backje. The capital was transferred to Hansung by B.C. 5 and then to Gongju by A.D. 475. Backje governed the east of China and the northeastern coast. Due to the effect of Chinese culture there are remarkably Chinese cultural elements in dress and its ornament of Baekje. Therefore on the side of cultural part, the noble culture was formed more polished than that of Goguryeo, which affected the culture of dress and ornament. And also there were class differentiation noticeably. Baekje created splendid culture and affected the culture development of Shinra and Japan. The motive of culture creation could be the top of three countries in the foreign trade because there were geographically the widest vast plain and coastline which stretches out from north to south. Although there haven't been many materials about the cultural heritage and records more than other countries, through the modern visual point its design is fresh and more elegant those of other countries. But the fact is that there are few materials related to Baekje. What is worse, there rarely remains all original form and most of them are broken and lost. According1y, we cannot understand not only an original form of Baekje culture and but also the meaning included in it. It goes without saying that there are few materials about the clothes and fabrics. As understanding the culture of Baekje itself is insufficient, a culture enterprise utilizing it - to improve both the added value and economical achievement while combining the latest culture resources with other fields - hasn't been successful. In this study, the purpose is to improve economic power through commercialization and industrialization of the sources of the culture of Baekje. By reanalyzing a form and an image of Baekje relics, it is designed with new motif and modem preference on the condition of our peculiar cultural heritage. And while using this motif with Jacquard pattern, we made it possible to be applied to real life such as interior trinkets, etc.

• The Korean Journal of Financial Management
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• v.23 no.1
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• pp.193-225
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• 2006

The purpose of this paper is to analyze contagion in Asian foreign exchange markets using Extreme Value Theory and Copula. Our application deals with asymptotic dependence of daily exchange rate return for a sample of eight countries over period 1997.1.1-2005.4.13. The empirical results are summarized as follows. Firstly, Gumbel Copula is a good model to our data according to the value of AIC. Secondly, the extremal dependence between East Asian crisis countries became lower in the post crisis period than the crisis period. Thirdly, It seemed that high extremal dependence exists between East Asian countries with Singapore. Fourthly, the tail dependence between Indonesia, Malaysia, Thailand, Philippine became higher in the crisis period than the total period and post crisis period. Fifthly, the fact that the extremal dependence between Korea and Indonesia, Malaysia, Thailand, Philippine did not increase during the Asian Financial Crisis showed that the contagion effect was not the reason of the Korea's Fiancial Crisis. Sixthly, the extremal dependence between Asian exchange markets was not very high while comparing with the European exchange markets.

• Proceedings of the Korea Society of Poultry Science Conference
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• 2005.11a
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• pp.44-52
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• 2005

The study, using sequence analysis and phylogenetic relationship of the fusion protein gene, divided the Korean epizootic isolates of Newcastle disease virus (NDV) into several lineages to determine the molecular epidemiology of the virus. A 695 base pair fragment was amplified by polymerase chain reaction between matrix protein gene and fusion protein gene of 30 Korean NDV isolates, which were isolated from field outbreaks of Newcastle disease between 1949 and 2002. All isolates showed the amino acid sequence 112 R-R-Q/R-K-R116 at the C-terminus of the F2 protein and phenylalanine (F) at the N-terminus of the F1 protein, residue 117. These amino acid sequences were identical to a known virulent motif. The region of the F gene between nucleotides 47 and 435 was compared by phylogenetic analysis. Based on nucleotide sequence, the Korean NDV isolates belonged to genotype III, V, VI and VII corresponding to isolates in 1949, 1982 to 1984, 1988 to 1997, and 1995 to 2002, respectively. These data showed that genotypes of five Korean Newcastle disease epizootics had replaced each other serially (III, V, VI and VII) in chronological order. Further, the five Korean Newcastle disease epizootics were closely related with the Necastle disease panzootics or Newcastle disease epizootics in other countries. Present study showed that the Korean genotype V isolated before 1984 was related with European Newcastle disease epizootics in the 1970s, whereas the Korean genotype VI and VII isolated after 1988 were more closely related with Far East Newcastle disease epizootics, especially Newcastle disease3 epizootics in Japan, Taiwan and China. Since 1988, the genotype VI and VII of Far East origin were dominant in South Korea. That might be due to the increased trade of agricultural products including poultry among Far East Asian countries.

• The Journal of Small Business Innovation
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• v.20 no.2
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• pp.1-16
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• 2017

The purpose of this study is to investigate the factors affecting innovation capability and innovation performance of midsize company entering overseas market. More specifically, in terms of managerial, organizational, and employee - level factors, we set leadership, operating system, and taking charge at work as variables influencing innovation capability and tried to understand the effect of innovation capability on innovation performance through empirical studies. In addition, we examined the differences in the influence factors on innovation capability and the effect on innovation performance in the home country and overseas countries. As a result of the empirical analysis, all of the influence factors had a positive effect on the innovation capability and the innovation capability had a positive effect on the innovation performance. The degree of influence was in the order of operating system, leadership and taking charge at work. In China, there is no significant difference in the order of operating system, leadership and taking charge at work. In the case of Korea, operating system and leadership have a positive effect, but the employee's taking charge at work does not affect innovation capability. The results of this study are as follows. First, it is necessary to enhance innovation capability in accordance with local characteristics. In Korea, there are additional activities to induce employee's taking charge at work is required for improved innovation capability and innovation performance.

• Environmental and Resource Economics Review
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• v.18 no.4
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• pp.587-635
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• 2009

The purpose of this study is to develop the Global Dynamic Computable General Equilibrium Model (Global CGE Model) in order to produce an economic impact analysis, including prospective obligations for the Post-2012 regime. This model explores the impact of an international emissions trading market and macroeconomic variables such as GNP, consumption, investment, imports and exports, in accordance with potential increased obligations on the Republic of Korea. Distinguishing it from existing studies, this Global CGE Model divides the global community into major economic groups, and in the capacity of the analyzed global model, reflecting the principle nations' macroeconomic indicators through the theoretical approach of endogenous growth theory. Policies such as an emissions trading scheme and carbon tax are reflected in the model. Also, in particular, the model reflects exogenous technological advances. According to this analysis, the stronger the greenhouse gas reductions, the greater the adverse effects on the economy; among macroeconomic indicators that appear, a significant decline is realized in the balance of trade, along with a significant decrease in investment and consumption. Energy dependence, in particular, plays a large role-varying in degree by industry type-, as greenhouse gas reductions would have a greater impact on energy-intensive industries. Furthermore, if Korea, currently recognized as a developing country, is given the obligation to reduce greenhouse gas emissions, competing countries such as China and other developing countries will be given an advantage.

• Journal of Korea Port Economic Association
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• v.37 no.3
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• pp.55-74
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• 2021

The role of container ports contributes greatly to international trade and national or regional economic development by supporting maritime transportation and occupies a central position in the supply chain connecting sea and land. The performance(traffic volume) of a port generally depends on geographic, economic, and operational factors etc. For the past several decades, container port volumes have grown with fluctuation. This study amis to analyze how global ports have undergone changes in terms of cargo volume by region, size and period. For the analysis, only the volumes of global top 100 ports were used. Shift-share analysis and BCG matrix analysis were employed as methodologies. According to the result of the analysis, the relative volatility of port traffic over the past 16 years as a whole was found to be limited. On the other hand, ports in China and Southeast and Southwest Asia, which are economically growing for the last decades, showed growing trends, while ports in Northeast Asia and Europe appeared to be in a stagnant or declining phase. It also shows that most of the global ports maintain limited changes in cargo volume because they are already positioned as central ports in the region. In addition, it can be seen that the global port volume has a close relationship with the change in the economic capability of the relevant region or country.

• Journal of Navigation and Port Research
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• v.48 no.1
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• pp.62-77
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• 2024

In the maritime shipping industry, imbalance between supply and demand has persistently increased, leading to the utilization of blank sailings by major shipping companies worldwide as a key means of flexibly adjusting vessel capacity in response to shipping market conditions. Traditionally, blank sailings have been frequently implemented around the Chinese New Year period. However, due to unique circumstances such as the global pandemic starting in 2020 and trade tensions between the United States and China, shipping companies have recently conducted larger-scale blank sailings compared to the past. As blank sailings directly impact freight transport delays, they can have negative repercussions from perspectives of both businesses and consumers. Therefore, this study employed Poisson regression models and negative binomial regression models to analyze the influence of maritime freight rate determinants on shipping companies' decisions regarding blank sailings, aiming to proactively address potential consequences. Results of the analysis indicated that, in Poisson regression analysis for 2M, significant variables included global container shipping volume, container vessel capacity, container ship scrapping volume, container ship newbuilding index, and OECD inflation. In negative binomial regression analysis, ocean alliance showed significance with global container shipping volume and container ship order volume, the alliance with container ship capacity and interest rates, non-alliance with international oil prices, global supply chain pressure index, container ship capacity, OECD inflation, and total alliance with container ship capacity and interest rates.

• Journal of Intelligence and Information Systems
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• v.28 no.1
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• pp.69-88
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• 2022

One of the characteristics of South Korea's economic structure is that it is highly dependent on exports. Thus, many businesses are closely related to the global economy and diplomatic situation. In addition, small and medium-sized enterprises(SMEs) specialized in exporting are struggling due to the spread of COVID-19. Therefore, this study aimed to develop a model to forecast exports for next year to support SMEs' export strategy and decision making. Also, this study proposed a strategy to recommend promising export countries of each item based on the forecasting model. We analyzed important variables used in previous studies such as country-specific, item-specific, and macro-economic variables and collected those variables to train our prediction model. Next, through the exploratory data analysis(EDA) it was found that exports, which is a target variable, have a highly skewed distribution. To deal with this issue and improve predictive performance, we suggest a separated learning method. In a separated learning method, the whole dataset is divided into homogeneous subgroups and a prediction algorithm is applied to each group. Thus, characteristics of each group can be more precisely trained using different input variables and algorithms. In this study, we divided the dataset into five subgroups based on the exports to decrease skewness of the target variable. After the separation, we found that each group has different characteristics in countries and goods. For example, In Group 1, most of the exporting countries are developing countries and the majority of exporting goods are low value products such as glass and prints. On the other hand, major exporting countries of South Korea such as China, USA, and Vietnam are included in Group 4 and Group 5 and most exporting goods in these groups are high value products. Then we used LightGBM(LGBM) and Exponential Moving Average(EMA) for prediction. Considering the characteristics of each group, models were built using LGBM for Group 1 to 4 and EMA for Group 5. To evaluate the performance of the model, we compare different model structures and algorithms. As a result, it was found that the separated learning model had best performance compared to other models. After the model was built, we also provided variable importance of each group using SHAP-value to add explainability of our model. Based on the prediction model, we proposed a second-stage recommendation strategy for potential export countries. In the first phase, BCG matrix was used to find Star and Question Mark markets that are expected to grow rapidly. In the second phase, we calculated scores for each country and recommendations were made according to ranking. Using this recommendation framework, potential export countries were selected and information about those countries for each item was presented. There are several implications of this study. First of all, most of the preceding studies have conducted research on the specific situation or country. However, this study use various variables and develops a machine learning model for a wide range of countries and items. Second, as to our knowledge, it is the first attempt to adopt a separated learning method for exports prediction. By separating the dataset into 5 homogeneous subgroups, we could enhance the predictive performance of the model. Also, more detailed explanation of models by group is provided using SHAP values. Lastly, this study has several practical implications. There are some platforms which serve trade information including KOTRA, but most of them are based on past data. Therefore, it is not easy for companies to predict future trends. By utilizing the model and recommendation strategy in this research, trade related services in each platform can be improved so that companies including SMEs can fully utilize the service when making strategies and decisions for exports.