• Journal of The Korean Digital Architecture Interior Association
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• v.13 no.2
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• pp.5-16
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• 2013

With regard to the new town developments which have supplied lots of houses in a short period of time in Korea this study aims to evaluation and finding out problems of the developments finally to suggest the direction. A new town's competitiveness model set in the previous paper takes a role of research frame to recognize the problems and to show the direction. The model explains that new town's competitiveness is composed of 4 factors; Self-sufficiency, Innovativenss, Identity and Sustainability. Problems of the developments are as follows; incongruity of spatial structure especially in the capital region, deficiency of self-sufficiency resulted from single-use development, restriction on mixed development by a number of regulations in capital region, low business value, grand scale of land compensation, house oriented planning guidance, unfair share of infrastructure fee, and physical structure depending mainly on fossil energy. Based on this recognition this study conclusively suggests corresponding direction such as role performance as a means of urban growth management, promotion of quality of life by accumulating social capital, introduction of socially sustainable management program for the new towns, discovery and creation of town's value, reexamination of self-sufficiency's meaning or target, selective deregulation of metropolitan development, institutional strategy for cost reduction, changeover from house index to urban function oriented index, and pursuit of low-carbon green town.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.9
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• pp.95-104
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• 2020

In financial economics studies, the autoregressive model has been a workhorse for a long time. However, the model has a fixed value on every parameter and requires the stationarity assumptions. Time-varying coefficient autoregressive model that we use in this paper offers some desirable benefits over the traditional model such as the parameters are allowed to be varied over-time and can be applies to non-stationary financial data. This paper provides the Monte Carlo simulation studies which show that the model can capture the dynamic movement of parameters very well, even though, there are some sudden changes or jumps. For the daily data from January 1, 2015 to February 12, 2020, our paper provides the empirical studies that Thailand, Taiwan and Tokyo Stock market Index can be explained very well by the time-varying coefficient autoregressive model with lag order one while South Korea's stock index can be explained by the model with lag order three. We show that the model can unveil the non-linear shape of the estimated mean. We employ GJR-GARCH in the condition variance equation and found the evidences that the negative shocks have more impact on market's volatility than the positive shock in the case of South Korea and Tokyo.

• Asian Journal of Business Environment
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• v.10 no.4
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• pp.15-19
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• 2020

Purpose: This research aims to explore the level of air pollution in Jakarta, the epicenter of COVID-19 Pandemic in Indonesia and its surrounding provinces during the first month of the Pandemic. Research design, data and methodology: This study uses data, which have been obtained real time from API (Application Programming Interfaces) of air quality website. The measurements of Air Quality Index (AQI), temperature, humidity, and other factors from several cities and regencies in Indonesia were obtained eight times a day. The data collected have been analyzed using descriptive statistics and mapped using QGIS. Results: The finding of this study indicates that The Greater Jakarta Area experienced a decrease in pollutant levels, especially in the Bogor area. Nevertheless, some areas, such as the north Jakarta, have exhibited slow reduction. Furthermore, the regions with high COVID-19 confirmed cases have experienced a decline in AQI. Conclusions: The study concludes that the air quality of three provinces, Jakarta, Banten, and West Java, especially in cities located in the Jakarta Metropolitan Area during COVID-19 pandemic and large-scale social restrictions, is getting better. However, in some regions, the reduction of pollutant concentrations requires a longer time, as it was very high before the pandemic.

• Journal of Navigation and Port Research
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• v.35 no.8
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• pp.677-682
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• 2011

Masan port is a representative port of Kyungnam region, and proceeds to work port development for the future. However, Analytical research related to current competitiveness and strategies for the future of Masan port have been little studied since then. Thus, the aim of this paper is to analyze the current competitiveness level of Masan port. To achieve this abjective, evaluation model based on empirical data was established. And then FHP-based index model that calculate competitiveness level of port was adopted. To analysis competitiveness of Masan port, Data from shippers calling at Masan port were collected. The result of data analysis showed that current competitiveness level of Masan port was 63.

• Journal of the Korean Society of Costume
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• v.53 no.6
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• pp.117-130
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• 2003

The purpose of this study is to provide the basic data on the development of ready-to-wear clothing for the elderly women as the population of the elderly has been constantly increasing as well as the purchasing power of the aged. The body measurements of 318 elderly women were taken. whose ages were over 60 years and enrolled in colleges for the elderly. sports centers. or business sites in Seoul and the neighboring districts. A total of 39 features in the lower body were used for the anthropometric measurement and analysis. The results of the study are as follows: 1. Indices of height and weight were used for factor analysis. cluster analysis, and discriminant analysis in order to 'classify lower body somatotype according to shape, excluding size factors. From the results of the factor analysis. the 5 factors showed the cumulative sum of square at 75.63%. 2. Somatotype were classified into two types according to a cluster analysis using height and weight dices. Type 1 is the group is relatively tall and has somewhat fat lower limbs. Type 2 is considered fat and has obesity factors around waist and abdomen area. The hit rate for the classified two groups showed the result at 95.9%.

• The Journal of Asian Finance, Economics and Business
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• v.5 no.4
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• pp.45-56
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• 2018

The paper aims to examine relationships between search-based sentiment and stock market reactions in Vietnam. This study constructs an internet search-based measure of sentiment and examines its relationship with Vietnamese stock market returns. The sentiment index is derived from Google Trends' Search Volume Index of financial and economic terms that Vietnamese searched from January 2011 to June 2018. Consistent with prediction from sentiment theories, the study documents significant short-term reversals across three major stock indices. The difference from previous literature is that Vietnam stock market absorbs the contemporaneous decline slower while the subsequent rebound happens within a day. The results of the study suggest that the sentiment-induced effect is mainly driven by pessimism. On the other hand, optimistic investors seem to delay in taking their investment action until the market corrects. The study proposes a unified explanation for our findings based on the overreaction hypothesis of the bearish group and the strategic delay of the optimistic group. The findings of the study contribute to the behavioral finance strand that studies the role of sentiment in emerging financial markets, where noise traders and limits to arbitrage are more obvious. They also encourage the continuous application of search data to explore other investor behaviors in securities markets.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.7
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• pp.27-34
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• 2020

The study investigates herding behavior in cryptocurrencies in different situations. This study employs daily returns of major cryptocurrencies listed in CCI30 index and sub-major cryptocurrencies and major stock returns listed in Dow-Jones Industrial Average Index, from 2015 to 2018. Quantile regression method is employed to test the herding effect in market asymmetries, inter-dependency and intra-dependency cases. Findings confirm the presence of herding in cryptocurrency in upper quantiles in bullish and high volatility periods because of overexcitement among investors, which lead to high volume trading. Major cryptocurrencies cause herding in sub-major cryptocurrencies, but it is a unidirectional relation. However, no intra-dependency effect among cryptocurrencies and equity market is observed. Results indicate that in the CKK model herding exists at upper quantile in market that may be due when the market is moving fast, continuously trading, and bullish trend are prevailing. Further analysis confirms this narrative as, at upper quantile, the beta of bullish regime is negative and significant, meaning the main source of market herding is a bullish trend in investment, which increases market turbulence and gives investors opportunity to herd. Also, we found that herding in cryptocurrencies exits in high volatility periods, but this herding mostly depends on market activity, not market movement.

• Textile Coloration and Finishing
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• v.26 no.4
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• pp.283-289
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• 2014

This study describes the feasibility and optimization of reactive dyeing on bio treated cotton knitted fabrics. For this, cotton knitted fabrics distinctly with two different enzymes, alkaline Pectinases(Scourzyme $L^{(R)}$) and Pectate lyases(Bactosol Co. ip $liquor^{(R)}$). In this way by increasing the concentration and processing temperature, the access of enzymes towards the fatty and waxy substrate was found to be accelerated. To achieve higher absorbency and whiteness index, a series of experiments was carried out to assure that Pectate lyases enzymes possesses high access towards the fats and waxes at high temperature. To this end, cotton knitted fabrics was dyed without oxidative bleaching step. The Pectate lyases scoured and dyed fabrics showed less color difference when 2% dye shade is used. The fabrics pre-scoured with Pectate lyases showed good the light and washing fastness properties, compared to the conventional and Pectinases dyed fabrics. However pectinases enzymes showed lower activity at high temperature, caused poor wettability and whiteness index of fabrics. The improvement of the accessibility of enzyme to the pectin at higher temperature Pectate lyases treatment before dyeing was found to be useful for subsequent pectin degradation in cotton knitted fabrics.

• Asian Journal of Innovation and Policy
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• v.2 no.1
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• pp.63-96
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• 2013

There is the need for performance evaluation and the identification of key success factors for utilizing technology roadmaps (TRM), but relevant research does not yet exists in this field. In Korea, the Small and Medium Business Administration has implemented the "Support Program for the Individual Company Technology Roadmaps" to promote the establishment of technology development strategies by SMEs. This study developed the framework and indices for performance analysis, designed and implemented survey for TRM performance analysis, and analyzed TRM performance of the companies that have participated in the above program from 2008 to 2011. This study compared the supported 97 companies and 102 companies not supported and analyzed quantitative and qualitative performance and satisfaction levels among the supported companies to compare low-performance companies and high-performance companies. This study aims to examine the KSF of TRM in terms of input and process. Also we suggested significant insights into the performance of TRM in terms of output.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.11 no.5
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• pp.1708-1715
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• 2010

This paper proposes an object-oriented software development guidance and an evaluation index for the productivity related to Seam Framework. Heavyweight and lightweight architecture to resolve the problem with benefits to support the new architecture is a large size distributed object standardization architecture. This architecture, such as the Seam Framework, to provide all of the architecture is possible. The distributed object standardization architecture is most often used in business Seam Framework is well-known architecture. Therefore, this study is based on the Seam Framework large distributed object architecture, design and implementation of JPetStore order system based standardization software development productivity and the objective is to provide guidance.