• International Area Studies Review
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• v.13 no.3
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• pp.287-308
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• 2009

This article examines the distributional characteristics of the return of Chinese stock market indices. The majority of previous empirical researches have tended to focus upon the simple stock market index. However, this study focuses on the four indices which represent the characteristics of each stock market index. The empirical findings indicate that the returns of the four chinese indices are not normally distributed at conventional levels. The Ljimg-Box -statistics indicate the returns of the index of A shares are not serially autocorrelated. However, the returns of the index of B shares are serially autocorrelated. The empirical findings also indicate returns of the four chinese indices are not serially autocorrelated. The statistics of Regression Specification Error Test and ARCH indicate the returns of all four indices are not serially linear. The findings also indicate that E- GARCH model is the most fittest model for the returns of the four chinese indices and the forecast error can be reduced by using student t distribution rather normal distribution.

• Fashion & Textile Research Journal
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• v.16 no.6
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• pp.897-907
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• 2014

The purposes of this study are to classify consumption values and to examine the effects of consumption values on appearance management behaviors. Questionnaires data was obtained through adults over 20 years old of age (N=478) in Gyeonggi-do, Daegu and Kyungpook regions. Descriptive statistics, factor analysis, multiple regression analysis, t-test and ANOVA were applied. The results of this study are as follows. First, consumption values are composed of three factors such as differential value, material value and practical value. Appearance management behaviors are identified such as surgery/skin care, clothing care, weight training and hair care. The weight training in appearance management behaviors is the most preferred behavior. Second, the results of regression analysis are like as follows: The effects of consumption on plastic surgery/skin care are explained by the differential value, material value and practical value(-). On weight training and hair care, the differential value and material value have positively significant effects. The differential value has significant effects on all over appearance management behaviors. Third, there are signigicant differences in consumption values and appearance management behaviors according to demographic variables. The single, females in 20s and 30s with higher monthly income and payment have higher differential value and lower practical value. The single and female in 20s and 30s were more involved in appearance management behavior.

• International Commerce and Information Review
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• v.17 no.3
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• pp.73-91
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• 2015

This study investigated how Korean image and cosmetics products image effect by the Korean Wave(Hanllyu) on the Vietnam Customer focus on the cosmetics. Especially, Korean Wave of this study consisted in the movie/drama, K-pop and Korean stars. Korean image and cosmetics brand image was effected by factors related to the Korean Wave which had been deducted, based on preceeding research. A study was conduct in Vietnam where the spread of the Korean Wave content customer bases has been over along time. A total of 295 samples were used for th final analysis. Data analysis consisted of descriptive statistics, Cronbach's alpha, a confirmatory factor analysis, and multi-regression. It is also found that Korean image and cosmetics brand image has affect by Korean Wave. and Cosmetics purchasing intention has affect Korean image and cosmetics brand image.

• The Journal of Industrial Distribution & Business
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• v.10 no.1
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• pp.69-76
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• 2019

Purpose - The purpose of this paper is to empirically investigate the effectiveness of Offcial Development Assistance (ODA) in recipient countries' economy. ODA is designed to mitigate poverty and stimulate economic growth in the developing countries. We classify total ODA into bilateral ODA and multilateral ODA depending on the number of donor countries. If the ODA flows from one donor country to one recipient country, it is classified as bilateral ODA. If the multiple countries simultaneously become donor countries through the international organizations such as United Nations and World Bank, it is classified as multilateral ODA. This paper compares the effect of bilateral ODA and multilateral ODA in determining recipient countries' economic development, and tries to provide policy implications to Korean ODA. Research design, data, and methodology - Our primary explanatory variables are bilateral and multilateral ODA. Private credit in recipient countries is adopted as additional explanatory variables to capture the level of financial development in recipient countries. We measure the ODA effectiveness using economic growth and quality of life of the recipient countries as the dependent variable. We collect 142 recipient countries' data from OECD statistics, during the period from 1970-2014. Panel least squares estimation with country fixed effect is employed as the empirical model. Results - Our results support that ODA variable has a negatively significant impact on recipient countries' economic growth, while it is positively correlated with human development index. Recipient countries' private credit is positively correlated with economic growth and human development index. The interaction variable of ODA and financial development turns out to be significant in general. We find that the positive effect of ODA depends on recipient countries' financial market development and this effect is stronger in multilateral aid than bilateral one. Conclusions - From the analysis, we have confirmed that the recipient countries financial development is the necessity condition to achieve positive effect of ODA. Based on these results, we suggest that Korean government should increase the share of multilateral funding and pay attention to recipient countries' financial market development to maximize the effectiveness of ODA.

• Journal of Korean Academy of Nursing Administration
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• v.15 no.4
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• pp.539-549
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• 2009

Purpose: The purpose of this study was to identify the relationships among trait anger, anger expression, job satisfaction, job commitment, and organizational performance, and especially to verify the effect of anger experience on organizational performance. Method: A descriptive study was conducted using a convenient sample. Data were collected by a self-report questionnaire from 671 clinical nurses in three university hospitals and analyzed by using SPSS 14.0 Win program with descriptive statistics, t-test, ANOVA, pearson correlation coefficient, and stepwise multiple regression. Result: Organizational performance was significantly correlated with trait anger, anger expression-in, anger expression-out, anger control, job satisfaction, and job commitment. Multiple regression analysis showed that organizational performance was significantly predicted by job commitment, job satisfaction, educational level (university graduation), anger control, and working place (operative room), and 34.7% was explained by these variables. Conclusions: Out of anger expression, anger control significantly affected on organizational performance together with job commitment and job satisfaction. From this result, it could be concluded that nursing intervention for anger control have a positive effect on improving organizational performance. Further studies are needed to develop and test the effect of nursing intervention programs for anger control.

• Journal of the Korean Geographical Society
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• v.28 no.3
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• pp.200-212
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• 1993

Wholesaling is important industry that is remarkable by the function and characteristics of city. This paper aims at examing the recent changes in hierarchy of cities and city classifi-cation by wholesale activities in Korea. In order to grasp the stydy purpose, this paper is to analuze the changes of categories by wholesale industry, and to grasp the change in the city classification with city hierachy of wholesale sales in 1968, 1979, and 1991. The data were obtained from the statistics in the Census of Wholesale and Retail Trade published by the National Statistical Office, in 1969, 1981, and 1992. As the result of examination, the following finding were obtained: 1. Wholesaling has developed form that of production and consumption goods wholesale, especially 'Wholesaling of Farm Products, Foods and Beverages' to that of investment goods that is 'Wholesaling of Machinery and Equipment' and 'Wholesaling of Transport Equipment and Parts'. 2. Wholesaling has developed in the medium and small cities in 1970's, and in the larger cities in 1980's. And the concentration ratio of six larger cities were lower than another cities in terms of wholesale sales, especially Seoul and Pusan. 3. Recently with income increment and a purchasing power, city classification was changed by the increasing number of wholesale establi-shments of 'Automotive Parts and Tyres' in 1970's and of 'Office, Computing and Accounting Machines and Motor Vehicles' in 1980's.

• Journal of the Korean Data and Information Science Society
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• v.28 no.3
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• pp.617-624
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• 2017

The production of cabbage, which is mainly cultivated in open field, varies greatly depending on weather conditions, and the price fluctuation is largely due to the presence of a substitute crop. Previous studies predicted the production of cabbage using actual weather data, but in this study, we predicted the wholesale price using unstructured agricultural meteorological data on the web. From January 2009 to October 2016, we collected documents including the cabbage on the portal site, and extracted keywords related to weather in the collected documents. We compared the forecast wholesale prices of simple models and unstructured agricultural weather models at the time of shipment. The simple model is AR model using only wholesale price, and the unstructured agricultural weather model is AR model using unstructured agricultural weather data additionally. As a result, the performance of unstructured agricultural weather model was has been found to be more accurate prediction ability.

• The Korean Journal of Applied Statistics
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• v.32 no.5
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• pp.703-720
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• 2019

The influence of temperature on electricity demand is increasing due to extreme weather and climate change, and the climate impacts involves nonlinearity, asymmetry and complexity. Considering changes in government energy policy and the development of the fourth industrial revolution, it is important to assess the climate effect more accurately for stable management of electricity supply and demand. This study aims to analyze the effect of temperature change on electricity demand using the partial linear model. The main results obtained using the time-unit high frequency data for meteorological variables and electricity consumption are as follows. Estimation results show that the relationship between temperature change and electricity demand involves complexity, nonlinearity and asymmetry, which reflects the nonlinear effect of extreme weather. The prediction accuracy of in-sample and out-of-sample electricity forecasting using the partial linear model evidences better predictive accuracy than the conventional model based on the heating and cooling degree days. Diebold-Mariano test confirms significance of the predictive accuracy of the partial linear model.

• Fashion & Textile Research Journal
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• v.18 no.5
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• pp.606-616
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• 2016

We intend an empirical assessment of examining the differences in the appearance management behaviors and demographic variables among groups classified by the clothing consumption values. The questionnaires are administered to 493 female and male adults above 20 years old in Seoul, Gyeonggi-do, Daegu and Kyungpook regions. For analysis of data from 478 respondents, descriptive statistics, cluster analysis, Cronbach's ${\alpha}$, ANOVA, Duncan test and ${\chi}^2$ test were applied. We show the following results. First, Factor analyses were employed for the clothing consumption values and appearance management behaviors. Six factors were for clothing consumption values: Individuality, appearance attractive, social, functional, conditional and fashion clothing consumption value. Four factors were for appearance management behaviors: weight training, skin care, hair care, make-up and clothing selection. According to clothing consumption values, four groups were classified: the passive, functional, social, and active group. We did cluster analysis to the appearance management behaviors of weight training, skin care, hair care, make-up and clothing selection. Second, the social and active groups were more interested in individuality, appearance attractive, social, functional, conditional and fashion clothing value. And they were also more involved in appearance management behaviors. Third, among the demographic variables, the single and female in 20s and 30s with higher level of education belonged to the active group. In this contribution, we find significant differences in the appearance management behavior and demographic variables classified by the clothing consumption values.

• Fashion & Textile Research Journal
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• v.19 no.4
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• pp.468-478
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• 2017

The purpose of this study is to examine the differences in appearance management behaviors and demographic variables among groups classified by the appearance management motives. The questionaries are administerd to 493 female and male adults above 20 years old in Seoul, Kyeonggi-do, Daegu and Kyungpook regions. For analysis of data from 478 respondents, descriptive statistics, factor analysis, cluster analysis, Cronbach's ${\alpha}$, ANOVA, Duncan test and ${\chi}^2$ test were applied. We show the following results: First, factor analysis for appearance management motives extracted three factors such as self-development, emphasis on the trendy appearance, and sexual appealing motive. Factor analysis for appearance management behaviors extracted four factors such as weight training, surgery/skin care, hair care and clothing selection. Second, three groups of the appearance management motives were classified into such as the social self-management type, the sexual appealing self-management type, the passive appearance management type. The social self-management groups are more interested in self-development, emphasis on the trendy appearance, and sexual appealing motive. And they are also more involved in appearance management behaviors: clothing selection is the most pursuing appearance management behavior. Third, among the demographic variables, the single and female in 20s and 30s with higher level of education belonged to the social self-management group. In this contribution, we find significant differences in the appearance management behavior and demographic variables classified by the appearance management motives.