• Atmosphere
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• v.22 no.1
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• pp.117-128
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• 2012

Does snow depth initialization have a quantitative impact on sub-seasonal to seasonal prediction skill? To answer this question, a snow depth initialization technique for seasonal forecast system has been implemented and the impact of the initialization on the seasonal forecast of surface air temperature during the wintertime is examined. Since the snow depth observation can not be directly used in the model simulation due to the large systematic bias and much smaller model variability, an anomaly rescaling method to the snow depth initialization is applied. Snow depth in the model is initialized by adding a rescaled snow depth observation anomaly to the model snow depth climatology. A suite of seasonal forecast is performed for each year in recent 12 years (1999-2010) with and without the snow depth initialization to evaluate the performance of the developed technique. The results show that the seasonal forecast of surface air temperature over East Asian region sensitively depends on the initial snow depth anomaly over the region. However, the sensitivity shows large differences for different timing of the initialization and forecast lead time. Especially, the snow depth anomaly initialized in the late winter (Mar. 1) is the most effective in modulating the surface air temperature anomaly after one month. The real predictability gained by the snow depth initialization is also examined from the comparison with observation. The gain of the real predictability is generally small except for the forecasting experiment in the early winter (Nov. 1), which shows some skillful forecasts. Implications of these results and future directions for further development are discussed.

• Journal of the East Asian Society of Dietary Life
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• v.16 no.3
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• pp.242-250
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• 2006

The purpose of this study was to identify tourist product factor combinations which confer the highest utility to tourists and to establish the relative importance of factors in terms of their contribution to total utility across gender. Among 250 questionnaires, 230 questionnaires were utilized for the analysis. $X^2$ analysis, Conjoint model, Max. Utility model, BTL model, Logit model, K-means cluster analysis, and one-way anova analysis were used for this study. The findings from this study were as follows. First, the Pearson's R and Kendall's tau statistics showed that the model fitted the data well across gender. Second, it was found that total respondents and three clusters regarded taste price as the very important factor across gender. Third, it was found that the male and female tourists most preferred product with light red color, shaped package, and highly pungent taste sold at a cheap price in factory. Fourth, it was found that the male tourists most preferred simulation product with light red color, shaped package, and highly pungent taste sold at a cheap price in factory. The female tourists most preferred simulation product with light red color, shaped package, and mild taste sold at a cheap price in factory. Finally, the results of the study provide some insights into the types of effective product designs that can be successfully developed by marketers.

• Journal of the Korean earth science society
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• v.38 no.5
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• pp.345-356
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• 2017

It is important to understand the variability of tropospheric ozone since it is both a major pollutant affecting human health and a greenhouse gas influencing global climate. We analyze the characteristics of East Asia tropospheric ozone simulated in a chemistry-climate model. We use a global chemical transport model, driven by the prescribed meteorological fields from an air-sea coupled climate model simulation. Compared with observed data, the ozone simulation shows differences in distribution and concentration levels; in the vicinity of the Korean Peninsula, a large error occurred in summer. Our analysis reveals that this bias is mainly due to the difference in atmospheric circulation, as the anomalous southerly winds lead to the decrease in tropospheric ozone in this region. In addition, observational data have shown that the western North Pacific subtropical high (WNPSH) reduces tropospheric ozone across the southern China/Korean Peninsula/Japan region. In the model, the ozone changes associated with WNPSH are shifted westward relative to the observations. Our findings suggest that the variations in WNPSH should be considered in predicting tropospheric ozone concentrations.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.10
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• pp.63-71
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• 2020

In this paper, we propose the new time-varying coefficient GARCH-in-Mean model. The benefit of our model is to allow the risk-return parameter in the mean equation to vary over time. At the end of 2019 to the beginning of 2020, the world witnessed two shocking events: COVID-19 pandemic and 2020 oil price war. So, we decide to use the daily data from December 2, 2019 to May 29, 2020, which cover these two major events. The purpose of this study is to find the dynamic movement between risk and return in four major oil markets: Brent, West Texas Intermediate, Dubai, and Singapore Exchange, during COVID-19 pandemic and 2020 oil price war. For the European oil market, our model found a significant and positive risk-return relationship in Brent during March 26-April 21, 2020. For the North America oil market, our model found a significant positive risk return relationship in West Texas Intermediate (WTI) during March 12-May 8, 2020. For the Middle East oil market, we found a significant and positive risk-return relationship in Dubai during March 12-April 14, 2020. Lastly, for the South East Asia oil market, we found a significant positive risk return relationship in Singapore Exchange (SGX) from March 9-May 29, 2020.

• Journal of the East Asian Society of Dietary Life
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• v.17 no.6
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• pp.926-934
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• 2007

The purpose of this study was to measure the effects of restaurant service quality dimensions on service value, satisfaction, and behavior intention. A total of 273 questionnaires were completed. A structural equation model was used to measure the causal effects. The results of the study show that the confirmatory factor analysis model presented an excellent model fit. The unrestricted model yielded a significantly better fit to the data than the two restricted models. In the unrestricted model, the effect of reliability on service value was statistically significant. The effects of tangibles and empathy on satisfaction were also statistically significant. As expected, empathy had a significant effect on behavior intention. Moreover, empathy had a significant indirect effect on behavior intention through service value and satisfaction. Restaurants should devote themselves to factors such as reliability in order to improve service value. Also, attention must be given to another important factor, empathy, since this influenced not only satisfaction, but also behavior intention.

• East Asian Journal of Business Economics (EAJBE)
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• v.12 no.2
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• pp.1-7
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• 2024

Purpose: This study delves into the application of the Ohlson 1995 valuation model, particularly addressing the intricacies of the "Other information" variable. Our goal is to pinpoint the most suitable variables for substitution within this category, focusing specifically on the Mongolian Stock Exchange (MSE) context. Research design, data, and methodology: Employing data spanning from 2012 to 2022 from 60 MSE-listed companies, we conduct a comprehensive analysis encompassing both financial and non-financial indicators. Through meticulous examination, we aim to identify which variables effectively substitute for the "Other information" component of the Ohlson model. Results: Our findings reveal significant outcomes. While all financial variables within the model exhibit importance, certain non-financial indicators, notably the company's level and state ownership participation, emerge as particularly influential in determining stock prices on the MSE. Conclusions: This study not only contributes to a deeper understanding of valuation dynamics within the MSE but also provides actionable insights for future research endeavors. By refining key variables within the Ohlson model, this research enhances the accuracy and efficacy of financial analysis practices. Moreover, the implications extend to practitioners, offering valuable insights into the determinants of stock prices in the MSE and guiding strategic decision-making processes.

• Journal of the Economic Geographical Society of Korea
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• v.12 no.3
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• pp.277-290
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• 2009

This paper aims to draw essential facts of network city, to analyze the urban corridor in South-East region, Korea, as a network city. Firstly, the characteristics of the network city is examined theoretically. The global economy is developing an innovative class of network cities. A network cities evolve when two or more previously independent cities, potentially complementary in function, strive to cooperate and achieve significant scope economies aided by-fast and reliable transport and communications infrastructure. Network Cities place a higher priority on knowledge-based activities like research, education and the creative arts. Each constituting city stands to benefit from the synergies of interactive growth via reciprocity, knowledge exchange and unexpected creativity. Secondly, we discussed the network structure of cities in South-East region, Korea itself intensively. We survey the network location and outline of the urban corridor in South-East region, spatial specialization and interaction between the constituting cities. We also discussed the problems of the network cities in South-East region, Korea and introduced the desirable policies and alternatives. We can ascertain from the case study of cities in South-East region that the cities in South-East region corresponds the network city model fairly.

• Journal of Integrative Natural Science
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• v.13 no.1
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• pp.27-33
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• 2020

The unsustainable human activities like increased use of automobiles, heavy industrialization and the use of large volumes of fertilizers, chemicals and pesticides in the agricultural land cause climate change problems in one way or another. Under normal circumstances, the heat radiations from the sun will be reflected back. An excessive volume of GHGs in the atmosphere would prevent these radiations from reflecting back. East Asia is facing severe climate change issues in recent times. A lot of climate change problems such as hurricanes and floods have been reported from this region in the last couple of decades. The study aimed at investigating the climate change in East Asia with changing Sea Surface Temperature (SST). The study adopted a quantitative research method with a case study research design where a deliberate focus was made on the East Asia Region. Secondary data was gathered and analyzed to yield both descriptive and inferential statistics. The study concluded that the impact of East Asia Climate variability was significant mainly for some extreme events. Also, the study concluded that there was a significant link between the change of the East Asia climate variability and that of the sea surface temperature. Further, the study concluded that a linear relationship existed between the sea surface temperature and the climate of East Asia. Hence, a linear regression was a significant predictor of the East Asia Climate (EAC) based on changing sea surface temperature. The model revealed that 37.4% of the variations in the climate change index were explained by the changes in the sea surface temperature. The climate was expected to change with a value of 49.48 for a unit change in the sea surface temperature.

• East Asian mathematical journal
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• v.37 no.5
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• pp.567-576
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• 2021

In this paper, we deal with the pricing of vulnerable power exchange option. We consider the hybrid model as the credit risk model. The hybrid model consists of a combination of the reduced-form model and the structural model. We derive the closed-form pricing formula of vulnerable power exchange option based on the change of measure technique.

• East Asian mathematical journal
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• v.9 no.2
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• pp.333-345
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• 1993