• International Area Studies Review
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• v.20 no.2
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• pp.3-23
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• 2016

In this study, we used actual proof analysis, based on SVAR model according to economy theory, to observe the impact of actual and financial market of Korea, Japan, and China that have adopted quantitative easing export based strategy of growth, an unconventional monetary policy of the U.S. As a result of estimation, it appears that real effective exchange rate rise shock of Korea, Japan, and China against U.S. dollar has a negative influence on current account and index of industrial product, which are real economy. It can be implied that the result is driven from the fact that strong home currency of Korea, Japan, and China decreases price competitiveness of exports, causing negative influence on real economy. The real effective exchange rate shock against U.S. dollar appeared to decrease national bond rate of Korea and Japan, while increasing that of China. In instances of Korea and Japan, it is implied that national bond rate decreases as foreigner investment funds flow in, considering foreign-exchange profit through advanced financial market with high opening extent. On the other hand, because there are strong regulation on opening extent of Chinese financial markets, the influence seems to be greater for domestic policy, rather than a foreign influence. Lastly, Korea showed a more dramatic variable reaction to exchange rate shock compared to Japan or China. It is implied from the result that Korea is relatively more susceptible and fragile in regards of international status of economic size and currency.

• Journal of Korea Port Economic Association
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• v.20 no.2
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• pp.19-33
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• 2004

Recognizing that the main container ports' status is gradually inclining, the Japanese government is driving forward the super hub port project. This project has three goals, unifying Japanese ports separating nationally, diminishing the port costs by 30 percents less than the current port costs of their competitors, and cutting down the lead time of processing import-export freight into 24 hours, Singaporean level. The project will work to some extent, if succeeding, but the effect is doubtful if it will be the fundamental solution of Japanese ports' crisis. I wrote this paper since I thought that this Japanese policy would serve as a good reference of Korea, which had two container ports system and its prospect was not good through the fact that the Busan ports' rank of dealing with containers fell down to the fifth in 2003.

• Electronics and Telecommunications Trends
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• v.36 no.4
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• pp.110-117
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• 2021

The development of core technologies in the 4th Industrial Revolution, such as artificial intelligence, big data, and the intelligent Internet of Things, promote digital transformation and intelligence of the manufacturing industry. To realize them, there is an increasing demand for materials, components, and equipment needed for final goods. In particular, the expansion of global value chain instability due to changes in the external environment, such as the U.S.-China trade dispute, Japan's export regulations, and Covid-19 pandemic, increases the importance of strengthening the materials, components, and equipment industry in the global market. Thus, this study presents a strategic direction for securing global industrial competitiveness of materials, components, and equipment using Michael Porter's diamond model approach.

• Animal Bioscience
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• v.37 no.4_spc
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• pp.755-774
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• 2024

The main objective of this study was to present data on the current situation and future trends of pig meat production in the European Union-27 (EU). Pig production has played an important social and economic role for centuries in many states of the EU. In 2022, pig meat production in the EU reached 23 M tons, which represented 21% of total production worldwide. The two key reasons that justify such amount of pork produced, are the acceptance and high consumption of the meat by the local population and the high quality of the meat produced which facilitated pork export. However, current data show a reduction in pork production for the last three years, as a consequence of a series of events that include i) problems with the chain of ingredients supply, ii) uncontrolled increase in African Swine Fever (ASF) outbreaks, iii) fast recovery of pig production in China, iv) increasing concerns by the rural population on the high cost to meet future requirements of the EU legislation on farm management, environmental sustainability and animal welfare, v) increased cost of all inputs involved in pig production and vi) limited interest of the new farmer generation to work on the pig sector. Consequently, pork production is expected to decrease in the EU for the next years, although sales will be maintained at a relative high level because pork is the meat preferred by local consumers in most EU countries. In order to maintain the favourable position of the pork industry in the near future, strategies to implement include: i) maintain the quality of the meat destinated to export markets, ii) improve the control of outbreaks of ASF and other swine diseases, iii) implementation of technological innovations to improve working conditions making more attractive to work in the pork sector of the food chain to the new generation of farmers and workers.

• Acta Via Serica
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• v.6 no.2
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• pp.91-116
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• 2021

India has had a rich and diverse textile tradition since the 3rd millennium BCE. The origin of Indian textiles can be traced back to the Harappan period. Owing to the hot and humid climate in most parts of India, cotton has remained India's favourite choice of fabric for normal use. Thus, India is supposed to be the first nation to have grown, woven, and patterned cotton fabrics. Moreover, India is one of the leading cotton-growing countries in the world. The earliest occurrence of cotton thread in India is roughly datable to 4000 BCE and of dyed fabrics to about 2500 BCE. Large numbers of needles and spindle-whorls found in Harappa and other early historic sites in India reveal the prosperous state of textile production and its trade in the early period. The textile producers used a wide range of skills to process raw materials and make regionally idiosyncratic dyes, weaves, prints, and embroideries. Additionally, the silk from wild indigenous forms of silkworms was known in the Indian sub-continent roughly contemporary with the earliest clear archaeological evidence for silk in China. The analysis of thread fragments found inside a copper bangle and ornament from Harappa and steatite beads from Chanhu-daro, have yielded silk fibers dating to 2500-2000 BCE. Apart from other products, cotton and silk textiles were important export materials from India right from the Harappan period. Actually, the sea-borne trade had played an important role in the economic growth and prosperity of the Harappan civilization. Several ancient seaports in the entire coastline of India played a vital role in the maritime trade during the Harappan period and cotton and silk textiles of Indian origin have been found in various countries. The contemporary writings and epigraphy have also attested to the vast maritime trade network of India and the export of textile materials. The paper discusses in detail the origin and development of cotton and silk textile production in India through the ages and its role in maritime trade networks.

• Journal of Korea Trade
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• v.26 no.5
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• pp.106-124
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• 2022

Purpose - The increasing share of Korean private label products (PLPs) in the domestic market helped generate lucrative revenue. In recent years, major South Korean retailers have begun to cast their sights on overseas markets and actively export their PLPs. In China, the proportion of private label fresh food (PLFF) is gradually expanding amid the development of the new retailing model. A profound understanding of the relationship between private label fresh produce and purchase intention may be the answer to helping Chinese retailer private labels expand supply chains in Korea. This study, taking Chinese retailers as an example, examines the impacts of selection factors of private label fresh food and perceived value on purchase intention. Apart from that, the relationship between the selection factors and purchase intention will be analyzed with perceived value as a mediator. Design/methodology - This work aims to empirically analyze the purchase intention of private label fresh food using statistical analysis. In this study, a hypothetical causal model consisting of 6 latent variables and 24 measured variables is developed based on the literature review. To validate the research hypotheses and the research model, SPSS23.0/AMOS23.0 is used to analyze factors such as validity and reliability, as well as structural equation modeling. Findings - The hypothetical model established in this study is of general applicability. In respect to PLFF, perceived value, while significantly influencing purchase intention in combination with four selection factors (perceived quality, perceived price, brand trust, and store image), mediates partially between the first three factors and purchase intention, which rules out the impact and mediating effect of store image on purchase intention. Originality/value - These research results, as helpful insights into the present circumstances of Chinese PLFF in the domestic market, provide useful information and guidance for Korean retailers and service providers to innovate production and service, as well as develop marketing and promotion strategies, so that they can shift private label goods with advantages from domestic demand to export, thus increasing overseas profitability. Further, this work will also contribute to relevant research.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2006.06b
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• pp.273-278
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• 2006

In this study, it is purpose that value-added-logistics strategy plan for cooperation and coexistence in northeast asia.. Because of the change of domestic industrial structure, Japan's super hub port plan, Yangshan Deepwater port open of china and domestic port logistics industries are faced with competition among northeast asia countries. Decreasing export volume of changed domestic industrial structure and two countries: japan, china, make a new port policy and build new ports will affect domestic port logistics industries because these industries depend on container throughput at Busan port. Now, we cannot get a lot of profit from container throughput more than before and in the future China has more ports most ships direct calling in china's port to handle china's cargo volume to get more profit at that time our plans to become a hub port in northeast need revision. Finally, we need a new strategy which is value-added-logistics strategy. But it considers cooperation and coexistence among northeast countries. So this paper suggests that value-added-logistics strategy plan for cooperation and coexistence to live in affluence together in the future.

• Journal of the Korean Geographical Society
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• v.40 no.6 s.111
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• pp.631-652
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• 2005

This study is to clarify regional structure and connection of international physical distribution through clearance depot of Cheongju customs of inland location. The trade of clearance depot of Cheongju customs industrial characteristics reflects of territorial hinterland. As origins and destinations of freight as exports and imports region, territories of Cheongju customs trade mainly with Japan, China, and USA. Origin and destination of freight of Cheongju customs territory are hinterland and foreland of Incheon International Airport and Busan port. In case of export, foreland of Busan port is board, and in case of import, the hinterlands of Incheon International Airport and Busan port are similar. Clearance depot of inland-located Cheongju is construct by the advantages of rapidness and inexpensive cost. And the kind of freight and system of physical distribution of each enterprise show different characteristics. For each export and import freight, each shipper corporation has its own physical distribution system, and structure of international distribution is classified into export pattern of bonded industry and bonded warehouse. Again the patterns of bonded warehouse are distinguished free on board price system with division of labor in base of production in overseas, free on board price system, and cost-insurance-freight with division of labor in base of production in overseas. These Phenomena are caused by transaction between headquarter and its overseas corporation, initiative freight handling of export corporation, choice of inexpensive cost, and international convention.

• 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.

• KOREAN JOURNAL OF CROP SCIENCE
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• v.62 no.3
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• pp.157-165
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• 2017

Being a staple food for more than half of the population of the world and South Korea, rice is an important crop. For the past 20 years, global paddy rice cultivation area and production have shown an annual growth of 0.46% and 1.61%, respectively. Global rice consumption for food and processing has increased by 1.37% and 3.68%, respectively. Due to the main reason for such increasing human population, it is expected that from 439 million tons in 2010, additional 116 million tons will be needed in 2035. Global rice imports and exports have doubled in the last 20 years. However, in spite of such increment, global rice exports in 2013 were 8.4% of the total production. It is thought that rice protection policies in the producing countries are the main reason for such small scale of rice trading. In the past 5 years, India recorded the largest growth rate in rice exports (51.4%), whereas China showed the largest growth rate in imports (61.0%). For global utilization of milled rice during the same period, approximately 79.4% was used as food, 7.2% as animal feeds, and 1.4% for processing. Regionally, Asia has shown a similar pattern to the global rice usage, whereas utilization for processing in America, for food in Africa, and for animal feed in Europe was relatively higher than the global rice usage. Korea's cultivation area and production since the last 5 years, are 0.5% and 0.8% of those of the world, respectively. Its annual rice export is approximately 3,000 tons, which is 0.01% of the global rice export. Korea's rice utilization is high for food and low for feed and for processing relative to global rice utilization. Therefore, a review must be conducted to increase Korea's utilization of rice for processing and for feed production.