• Analyses & Alternatives
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• v.2 no.2
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• pp.143-162
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• 2018

This paper focuses on the policy framework about "Quantitative and Qualitative Easing (QQE)" of Japan, and analyzes reasons why the policy goal was not reached. The QQE was introduced by the Bank of Japan in 2013 with the purpose of meeting the price stability target of 2% and getting out of deflation that prevents sustained price decline. However, despite the implementation of the bold monetary easing policy unprecedented in the world, the policy goal was not achieved as of June 2018. As a result of analyzing the causes, the following three structural factors were confirmed. 1) The rise in prices by QQE was limited because Japan's consumer price is strongly depending on import price. 2) The effect is high degree of uncertainty and limited because theoretical framework of reflationist which adopted QQE depends on "expectation formation" by "self-fulfilling expectation" and "multiple equilibria". 3) It was confirmed that the expansion of the monetary base did not lead to money stock due to the existence of Japanese liquidity trap, long-term low interest rate policy.

• Journal of Information Technology Applications and Management
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• v.29 no.2
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• pp.17-25
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• 2022

Although the two types of currencies compete, the possibility of a virtual currency price bubble is diagnosed by assuming an economic model with currencies (won, virtual currency) that are intrinsically worthless. The won is supplied by the central bank to achieve the price stability target, while the supply of virtual currency increases by a fixed number. According to the basic price theory equation, as a simple proposition, cryptocurrency prices form a Martin Gale process [Schilling and Uhlig, 2019, p.20]. Based on the existing theoretical proposition, we applied the variance ratio verification method [Linton and Smetanina, 2016] and a simple technical chart method for empirical analysis. For the purpose of this study, the possibility of a bubble was empirically analyzed by analyzing the price volatility formed in the Korean virtual currency market over the past year, and brief policy implications for this were presented.

• Current Photovoltaic Research
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• v.3 no.2
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• pp.50-53
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• 2015

Indium (In) is widely used for transparent electrodes of photovoltaics as a form of indium tin oxide (ITO) due to its superior characteristics of environmental stability, relatively low electrical resistivity and high transparency to visible light. However, In has been worn off in proportion to growth the In related market, and it leads to raise of price. Although In is obtained from ITO target scarps, much harmful elements are used for the recycling process. To decrease of harmful elements, ITO swarf particles obtained from target scraps was characterized whether it is feasible to transparent conductive oxide (TCO). The ITO swarf was crushed with milling process, and it was mixed with new ITO nanoparticles. The mixed particles were well dispersed into ink solvent to make-up an ink, and it was well coated onto glass substrate. After heat-treatment at $400^{\circ}C$ under $N_2$ rich environments, optical transmittance at 550 nm and sheet resistance of the ITO ink coated layer was 71.6% and $524.67{\Omega}/{\square}$, respectively. Therefore, it was concluded that the ITO swarf was feasible to TCO of touch screen panel.

• Journal of the Korea Convergence Society
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• v.12 no.7
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• pp.169-179
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• 2021

This study shows that the two-stage k-means clustering method can improve prediction performance by predicting the stock price, To this end, this study introduces the two-stage k-means clustering algorithm and tests the prediction performance through comparison with various machine learning techniques. It selects the cluster close to the prediction target obtained from the k-means clustering, and reapplies the k-means clustering method to the cluster to search for a cluster closer to the actual value. As a result, the predicted value of this method is shown to be closer to the actual stock price than the predicted values of other machine learning techniques. Furthermore, it shows a relatively stable predicted value despite the use of a relatively small cluster. Accordingly, this method can simultaneously improve the accuracy and stability of prediction, and it can be considered as the new clustering method useful for small data. In the future, developing the two-stage k-means clustering is required for the large-scale data application.

• Journal of the Korea Fashion and Costume Design Association
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• v.13 no.1
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• pp.47-57
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• 2011

As the development of denim products using new differentiated materials plays an important role regardless of their target age groups, there is an increasing need for the development of premium denim designs for senior women using various materials. As part of the strategy to develop such a design for the senior generation, a market survey was performed regarding commercially available premium denim products in the market, and the current trends in the denim market were researched and analyzed to make use of the results in design development. In addition, a differentiated material, hybrid yarn using conjugated dyeing (HYCD) was applied to use several washing techniques capable of highlighting the unique features of denim clothing. The design of four items including a jacket, vest, capri pants and long pants were suggested. These items were differentiated from other products by emphasizing their details such as stitching and pockets. In light of the current consumer trend to select denim jeans on the basis of their fashion-ability (e.g., silhouette or color) rather than practicality or price, it is considered meaningful to develop high value added, premium jean products for the senior generation using diverse materials and details. At the same time, performing further studies designed to demonstrate the stability and reliability of the developed products through consumers' comparative assessment is required.

• Journal of the Korean Society of Clothing and Textiles
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• v.32 no.3
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• pp.462-473
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• 2008

In recent years, Korea's apparel exports to the USA have faced a great threat, as the trade environment around the world has changed continually. The purpose of this study is to analyze the competitive position of Korean apparel exports to the USA, and to enhance export competitiveness by applying to offshore sourcing. The trade data of the Office of Textiles and Apparel(OTEXA) in the U.S. Department of Commerce were selected for inquiry about export competitiveness of apparel products made in Korea. In addition, we targeted members of the Korea Apparel Industry Association among the 500 exporters of clothing items in "The Import and Export Textile Product 2003." A total 70 sheets were analyzed. The results of this study were as follows: 1) Korean apparel exports to USA have decreased by 20-35 percent per year since 2005 under the Free Trade Area, showing that Korean apparel industries have not adapted to the new trade environment. Although Korean apparel exports to USA have indicated a trade surplus from now on, Korean apparel industries should find new ways to overcome this situation, diminishing exports and increasing imports. 2) Korean apparel companies selected more offshore sourcing than domestic sourcing. Also, as Korean apparel companies manufactured apparel products offshore, foreign subcontracting outranked manufacturing in their own foreign plants. When they chose foreign countries to source, they turned mainly to China and Vietnam. Also, they considered the target country's manufacturing price, labor stability, apparel products, quality, lead time, and so on. In order to increase apparel exports, Korean apparel industries should focus more on developing competitively new apparel products, improving the ability of sourcing management, and establishing on-the-spot agencies.

• Journal of the Korean Society of Clothing and Textiles
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• v.30 no.12 s.159
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• pp.1768-1777
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• 2006

As the fashion industry comes under the influence of globalization throughout all fields of industry, the globalization and the market entry strategies are required for Korean fashion firms. This study attempted to analyze the factors influencing foreign entry mode of Korean fashion business based on Eclectic Theory. Data collection has been carried out from November 25 until December 25, 2005. The questionnaires were sent through e-mail or fax to 622 trading companies. 67 questionnaires were returned for a response rate of 10.7%. Of these returns, 61 usable questionnaires were employed for data analyses. Descriptive analysis, factor analysis, discriminant analysis, and t-test were used for data analysis. First, the most important venture motivation was price competitiveness and many firms were engaged in both production and sales in their target countries, which were mainly in Southeast Asia. Second, the firm's ability and experience were found out as ownership advantage factor, investment stability and market potential as location advantage factor, and contract stability as internalization advantage factor. Third, the result of discriminant analysis showed that location advantage factor was a significant factor in predicting the entry of fashion firms into foreign countries.

• Journal of the Korean Society of Marine Environment & Safety
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• v.27 no.1
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• pp.13-21
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• 2021

The purpose of this study is to develop the ship valuation model by utilizing the neural network model. The target of the valuation was secondhand VLCC. The variables were set as major factors inducing changes in the value of ship through prior research, and the corresponding data were collected on a monthly basis from January 2000 to August 2020. To determine the stability of subsequent variables, a multi-collinearity test was carried out and finally the research structure was designed by selecting six independent variables and one dependent variable. Based on this structure, a total of nine simulation models were designed using linear regression, neural network regression, and random forest algorithm. In addition, the accuracy of the evaluation results are improved through comparative verification between each model. As a result of the evaluation, it was found that the most accurate when the neural network regression model, which consist of a hidden layer composed of two layers, was simulated through comparison with actual VLCC values. The possible implications of this study first, creative research in terms of applying neural network model to ship valuation; this deviates from the existing formalized evaluation techniques. Second, the objectivity of research results was enhanced from a dynamic perspective by analyzing and predicting the factors of changes in the shipping. market.

• Proceedings of the Korean Society of Crop Science Conference
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• 2022.10a
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• pp.6-6
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• 2022

Prolonged Russia-Ukraine war, and unstable situation of supply and demand of global crops including the COVID-19 pandemic have raised awareness regarding food crisis, and in addition to this situation, export restriction measures imposed by some countries have accelerated the rise in the prices. Since the Republic of Korea depends annual crop consumption (21.32 million tons) mostly on the imports (food self-sufficiency rate in 2020 was 45.8%, crop self-sufficiency rate was 20.2%), our main task is to stably secure food. Now we need to put focus on building capacity to secure stable food supply, and actively manage and respond to risks. To overcome this condition, the Korean government set robust food sovereignty as its policy task, and has been focusing on the policy capacity by providing financial and policy support in parallel. We need to implement mid- to long-term measures to strengthen food security as well as to ensure domestic price stability. While increasing the domestic capacity to supply food in the mid- to long-term perspective, we are implementing projects to bring in crops which are inevitable to be imported by private companies. Specifically, we are making efforts to expand infrastructure for the public reserve and domestic production of wheat and beans which have low self-sufficiency rate, and to secure food sovereignty by providing support to secure global crop supply chain to private companies. The Ministry of Agriculture, Food and Rural Affairs plans to set a target for food self-sufficiency rate and prepare a policy to strengthen mid- to long-term food security by establishing a task force to strengthen mid- to long-term food security in the Ministry. Especially, although wheat is the second staple food, domestic wheat production and the foundation for the industry is poor. Compared to the wheat imports, domestic production of wheat is 30 thousand tons (self-sufficiency rate of 1%), leading to a vulnerable status against internal and external shocks. Through the establishment of the Wheat Industry Promotion Act (Feb. 2020) and the First Master Plan for Wheat Industry Promotion (Nov. 2020), the Korean government has developed a policy basis, and has been providing financial support in overall across the production, distribution and consumption process. In addition, the government established a production complex for Korean wheat and beans in order to supply affordable government-supplied commodities, provide education and consulting services, and create a high-quality stable production system, including facilities and equipment. We are also continuing to increase the public reserve for wheat and beans with the purpose of stable supply and demand as well as food security. The Korean government will establish and implement mid- to long-term measures to strengthen the foundation for domestic production across production, distribution and consumption process, and to stably secure global supply chain including through diversified import channels.