• The Journal of Fisheries Business Administration
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• v.28 no.1
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• pp.27-49
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• 1997

The purpose of this paper is to widen the viewpoint of fisheries trade which has been discussed under the coventional comparative advantage theory based on price difference between exporting country and importing country. therefore the paper tries to find out \circled1 the characteristics of several factors which has enabled fisheries trade compared to manufactured goods trade. \circled2 the development pattern of such factors and the present influence of such factors on current fisheries trade. \circled3 the present characteristics of fisheries trade especially fisheries import under the context of the logic of international fisheries trade.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.10 no.2
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• pp.121-134
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• 2015

This study empirically analyzed the effects of international entrepreneurial proclivity of exporting small and medium enterprises on corporate capability and export performance according to product type of industrial and consumer goods. International entrepreneurial proclivity of exporting small and medium enterprises consists of risk-taking, proactiveness, and innovativeness, and corporate capability consists of technological capability and product differentiation capability. Risk-taking, innovativeness, and proactiveness had a significant impact on technological capability in case of industrial goods, and in case of consumer goods, only risk-taking and innovativeness had significant impact. Product differentiation capability of consumer goods was significantly influenced by the order of innovativeness, proactiveness, and risk-taking while only innovativeness had a negative impact on industrial goods. When the impact of corporate capability on export performance was examined, only technological capability had a significant impact on both financial and strategic performance in case of industrial goods while both technological capability and product differentiation capability had significant impact in case of consumer goods. After examining the direct impact of international entrepreneurial proclivity on financial performance, it was found that financial performance in the case of industrial goods was significantly influenced by the order of proactiveness and risk-taking, and in the case of consumer goods by the order of innovativeness and proactiveness. However, the impact of international entrepreneurial proclivity on strategic performance showed different results. In case of industrial goods, only risk-taking had a significant impact on strategic performance while in the case of consumer goods it was significantly influenced by the order of innovativeness, proactivenesspro, and risk-taking. The direct impact of international entrepreneurial proclivity on export performance was different in case of financial and strategic performance, and there was difference regarding product type as well. It suggests that different approach is needed according to product type in order to increase export performance since the impact of international entrepreneurial proclivity on corporate capability, the impact of corporate capability on export performance, and the impact of international entrepreneurial proclivity on export performance were all different according to product type.

• Environmental and Resource Economics Review
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• v.13 no.3
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• pp.441-468
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• 2004

We estimate carbon embodied in the export goods of Korea. A commodity-by-industry IO model ($CO_2$ hybrid IO model) is constructed for the estimation. In the model, all monetary units of energy commodities are converted to physical unit, carbon tons. Results show that total $CO_2$ embodied in the exports of non-energy goods of Korea equals 51.18 million carbon ton or 44% of total $CO_2$ emissions in Korea in 2000. Overall carbon intensity of export goods is estimated as 0.227 carbon ton per million Won. These findings suggest Korea's responsibility on global warming may be imputed to the countries who import and consume Korean goods. It is in accordance with the user pay principle. It is also argued that if UNFCCC impose the burden of $CO_2$ mitigation on importing countries rather than exporting countries, we can prevent '$CO_2$ emission leakages' effectively.

• THE INTERNATIONAL COMMERCE & LAW REVIEW
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• v.56
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• pp.3-27
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• 2012

The purpose of this thesis is to develop a relational model which can explain consumer selection for exporting goods and analyze the effect of corporate image on the relations between country image and consumer selection under global trade environment. The specific objectives are as follows: 1) to suggest a concept of consumer selection and measurement criteria, 2) to analyze correlations among country image, corporate image and consumer selection and 3) to find out the effect of corporate image on the relations between country image and consumer selection. The SPSS program for window and LISREL program were used to analyze the data for this study. The statistical method used in this study was the covariance structure analysis estimating parameters by maximum likelihood method. Path coefficients were tested for t-tests with a statistical significance level of .05. The conclusions of this study are as follows. First, significant correlations were observed among all sub-variables proposed in this study. In addition, significant correlations were detected among country image, consumer selection and corporate image. Second, a hypothetical model proposed in this study was mostly appropriate. Country image had a positive direct effect on consumer selection and corporate image with statistical significance. In addition, it has an indirect impact on consumer selection with statistical significance with corporate image as an intervening variable. Third, corporate image had a significant moderation effect in country image-consumer selection relations. As corporate image levels increased, the effect of country image on consumer selection increased as well. In other words, it has been confirmed that if corporate image levels are high, country image could end up with consumer selection.

• 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.

• Korea Trade Review
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• v.45 no.1
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• pp.173-201
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• 2020

As the US's trade deficit with China and China's manufacturing industry has risen rapidly, the US has begun to regulate trade items as part of China's checks. Four rounds of reprisal measures have greatly altered the trade structures of both countries. In particular, Korea, which is highly dependent on the US and China, has been directly affected by US-China trade disputes. The purpose of this study was to analyze the effects of US-China trade disputes on the stock price of Korean export firms by performing an event study. This study analyzed stock price fluctuations for 7 days before and after entry into forced [Please check] retaliatory tariffs on Korean exporters' export items subject to retaliatory tariffs. According to the analysis results, among companies that produce goods with major tariffs imposed on China by the US, such as electronic appliances, semiconductors, machinery, and automobiles, those producing electronics and semiconductor products were positively affected by the tariff incident. Secondly, among the companies producing steel, chemicals, and machinery, which the main tariffs imposed by the United States, companies producing steel and chemicals were negatively affected by the incident due to the stagnation of trade between China and the US. The results of this study suggest future trade policy directions for Korea and help to establish an export strategy for major industries.

• Korea Trade Review
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• v.45 no.5
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• pp.181-200
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• 2020

The Korea-Canada FTA and the EVTA have adopted cross-cumulation clauses in their rules of origin, aiming at the enhancement of the value chains among the FTA parties. In fact, intricate rules of origin are often considered as the major cause that discourages the utilization of the agreement for the exporting firms. From this perspective, the correct understanding of cross-cumulation clauses in FTAs is an urgent mission for the Korean exporters as well, and the EVTA, which has recently introduced the cross-cumulation method in a linkage with the Korea-EU FTA provides the timely motivation. This paper first analyzes the Korea-Canada FTA of 2015 as for the case study, because this is a unique trade agreement for Korea that has already adopted the cross-cumulation clauses. It is concluded that the clause is rather vague, particularly in certifying the origins of the intermediate goods from the territory of an authorized third party. From this perspective, the recently-ratified EVTA is particularly important and meaningful with its clearer explanations for the utilization of the privileged rules of origin. The paper finalizes the study by making policy suggestions to the stakeholders, expecting more future FTAs to come equipped with similar cumulative rules of origin, and implies the possibility of the modification of the current clauses in the FTA with Canada.

• The Research Journal of the Costume Culture
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• v.9 no.4
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• pp.616-628
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• 2001

The purpose of this research is to create a polyester sample book that serves as a point of reference that exporters in the Taegu area can allude to when exporting to the U.S. By getting this project off the ground, we can expect to make a worthy contribution to the manufacture of high-quality, value-added fashion & textile goods. The research was conducted as follows. First, a study was carried out in the local market ensued by consumer surveys with regards to consumer attitude on man-made fibers, market researches, and interviews with experts, all in conjunction with the Color Association of the U.S. Also, a diverse array of fabric swatches were collected from Manhattans fabric wholesalers and then classified by color and fabric type fur the sample book. In short, this research found that man-made fibers have full marketability in the U.S. Thus, in order for Taegus synthetic textile firms to be successful in exporting to the US, it is essential that they come up with fabrics that have properties resembling natural fibers such as having a soft hand, natural sheen, smooth draping, and diverse textures as well as being in line with the current trends. In addition, it is also necessary to develop fabrications that are versatile and functional. Thus, by developing innovative fabrications, the synthetic textile business will turn toward the production of high-quality synthetics and will also provide a platfrom for strengthening the competitive edge of Koreas textile & fashion business.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2015.10a
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• pp.208-210
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• 2015

After the huge explosive accident in port of Tianjin, it is being strengthened on the dangerous goods regulations. This also has been make an extra impact which must meet international standards and even different parts became possible import customs regulations exporting from Korea. Since 2004, internationally in compliance with the enforced the transport of dangerous goods regulations (IMDG Code), but becomes substantial damage to the domestic industry that exports of dangerous goods is a lot of difficulties in the logistics of efficiency due to possible follows only the clearance to the needs of the Chinese Government. In Korea and secure hazardous materials management needs have emerged, but piecemeal ad hoc policy is connected economically costly and unnecessary regulations weighted long-term safe at the same time enables continuation of the development of the only domestic chemical industry to find effective hazardous materials management plan it is.

• International Commerce and Information Review
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• v.12 no.1
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• pp.299-325
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• 2010

The purpose of this empirical study is an index to usage of export assistance programs for korean small-medium exporters. Build around the index make an analysis of SMEs internal or exterior factors have an effect on export at present or in future export performance and the relative importance. Based on 128 surveys form korean SMEs experienced export assistance programs, 8 hypotheses, which are set up each factor, were verified through the practical analysis. The main result of hypothesis drawn by empirical study are as follows : The more SMEs use the programs, the more high export performance at present and in future. Export competitive factor reject at present export performance, but it will affect future export performance. A size of the firm in the characteristics of SEMs will affect export performance. Export rate of own brand will not affect performance. Another factors show adoption partly concerned hypothesis. Classified exterior factors of SMEs, a intensity of market competition shows adoption partly concerned hypothesis. Market growth rate will affect export performance at present and future strongly. Finally the usage of assistance programs will affect between a consumption goods and an industrial goods differently. From this study we found if we want to develop the export assistance programs that can actually in phases help the SEMs.