• Title/Summary/Keyword: Economic-statistics Design

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Consumer Income and Expenditure Influenced by Business Cycles: A Comparison of Korea and the US

  • Kim, Seo Jeong;Hann, Michael;Youn, Chorong;Lee, Kyu-Hye
    • Fashion, Industry and Education
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    • v.14 no.2
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    • pp.47-59
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    • 2016
  • This research is concerned with comparing fluctuation in the Korean and the US economies in order to ascertain the degree to which the former is influenced by changes in the latter. The aim of this research is to explore business cycles, to examine consumer expenditure in Korea and the US, and to discover the relationships between business fluctuation indexes and overall expenditure. Statistical data from the national statistics of Korea and the US during period from 1990 to 2015 were used. The instrument included a measure of GDP, unemployment rates, GDP deflator rate (inflation rates), and household income and expenditure. For the average annual household expenditures, food, apparel and transportation expenditure data were compared across the two countries. Data were collected separately from different (though comparable) sources and were analyzed using relatively straight forward statistical techniques. It was found that Korean and the US consumers' income and expenditure were greatly affected by economic fluctuations. Total expenditure and the expenditures for food and transportation were much influenced by business fluctuation in the US, whereas, the expenditures for apparel were much influenced by business fluctuation in Korea.

Apparel Shopping Orientations and Importance of Store Attributes Related to Cognitive Age of the Elderly Consumers (노년층 소비자의 인지연령에 따른 쇼핑성향과 의류점포속성 중요도)

  • 장철진;박제옥
    • Journal of the Korean Society of Clothing and Textiles
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    • v.20 no.1
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    • pp.28-42
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    • 1996
  • The purposes of this sturfy were 1) to examine the difference between cognitive and actual age, 2) to understand apparel shopping orientations and the importance of store attributes related to cognitive age and 3) to identify relationship.; between apparel shopping orientations and importance of store attribute, ; in cognitively younger and older groups For the study, questionnaires were administered to 450 elderly women over 55 years of age. The questionnaires were designed to mea, ;ore apparel shopping orientations (hedonic, store loyal and brand conscious, careful and planned, confidented and independent, and economic shopping), importance of store attributes, cognitive age and demographics. Using a base of 204 women, data was analyzed by using descriptive statistics, t-test and correlation coeffictents. The results of this study weve summarized as follows. 1. The older women saw themselves on average 6. 6 years younger than they really were 77.6% of the respondents blieved themselves to be cognitively younger 2 Cognitively younger women were more hedonic and less carefull and planned than cognitively older women in apparel Shopping. 3. Cognitively older women thought that proximity and private dressing rooms in apparel stores were mote important attributes than cognitively younger women. In terms of apparel store attributes, older consumers placed importances on product quality, fit and size, design suited to their age, attractive price, and the availability to return unsatisfactory products, in orders.

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Factors Influencing Mental Health among Late School age Children (학령기 후기 아동의 정신건강과 영향요인)

  • Lee, Hyun-Ju;Kim, Hee-Kyung
    • The Journal of Korean Academic Society of Nursing Education
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    • v.18 no.1
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    • pp.149-158
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    • 2012
  • Purpose: The purpose of this study was to identify the factors influencing mental health among late elementary age children. Methods: The research design was a secondary data analysis. Data were collected from 746 students in grades 5 or 6, and analyzed using descriptive statistics, t-test, ANOVA, Pearson's correlation coefficients and stepwise multiple regression with the SPSS/PC 18.0 program. Results: The average score of mental health was $3.42{\pm}0.55$. There were significant differences in mental health according to health status, economic status, scholastic performance, relationships with friends, relationships with the teachers, atmosphere of the home, number of siblings and the source of trouble. Stepwise multiple regression analysis showed influencing factors of stress, negative reaction under stress, self-esteem, teacher support, and friend support support and explained 41.4% of total variance in late elementary age children's mental health. Conclusion: These results may contribute to a better understanding of mental health in late elementary age children. The results of the present study indicate a need to develop nursing interventions to prevent and manage elementary school-age children's negative reaction under stress.

Forecasting for a Credit Loan from Households in South Korea

  • Jeong, Dong-Bin
    • The Journal of Industrial Distribution & Business
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    • v.8 no.4
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    • pp.15-21
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    • 2017
  • Purpose - In this work, we examined the causal relationship between credit loans from households (CLH), loan collateralized with housing (LCH) and an interest of certificate of deposit (ICD) among others in South Korea. Furthermore, the optimal forecasts on the underlying model will be obtained and have the potential for applications in the economic field. Research design, data, and methodology - A total of 31 realizations sampled from the 4th quarter in 2008 to the 4th quarter in 2016 was chosen for this research. To achieve the purpose of this study, a regression model with correlated errors was exploited. Furthermore, goodness-of-fit measures was used as tools of optimal model-construction. Results - We found that by applying the regression model with errors component ARMA(1,5) to CLH, the steep and lasting rise can be expected over the next year, with moderate increase of LCH and ICD. Conclusions - Based on 2017-2018 forecasts for CLH, the precipitous and lasting increase can be expected over the next two years, with gradual rise of two major explanatory variables. By affording the assumption that the feedback among variables can exist, we can, in the future, consider more generalized models such as vector autoregressive model and structural equation model, to name a few.

Validation of Quality of Life Index-Cancer among Korean Patients with Cancer (Quality of Life Index-Caner의 구성타당도 검증 -국내 암환자를 대상으로-)

  • 소향숙;이원희;이은현;정복례;허혜경;강은실
    • Journal of Korean Academy of Nursing
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    • v.34 no.5
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    • pp.693-701
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    • 2004
  • Purpose: The purpose of this study was to validate Quality of Life Index-Cancer (Q.L.I.-C) developed by Ferrans (1990) among Korean cancer patients. Method: This study design was exploratory factor analysis methodology. Q.L.I.-C was translated into Korean and reverse-translated into English. The subjects were 357 Korean patients with various cancers. Data were collected by questionnaires from May to August, 2000 and was analyzed by descriptive statistics, Principal Component Analysis for construct validity and Cronbach's alpha coefficient for reliability. Result: The range of factor loadings was .446~.841. The explained variance from the 5 extracted factors was 63.7% of the total variance. The first factor 'family' was 35.5%, and 'health & physical functioning', 'psychological', 'spiritual', and 'economic' factors were 11.5%, 6.9%, 5.6%, and 4.2% respectively. Because of cultural difference between Americans and Koreans, certain items such as sexuality, job status, and education were deleted from the extraction of factors in this study. The Cronbach's alpha coefficient was .9253 among the 28 items. Conclusion: Q.L.I.-C could be applied in measuring quality of life of Korean cancer patients. It also recommend to do further studiesfor validation of Q.L.I.-C American and Korean versions relating to cultural differences.

Assessment of Energy Organizations' External Conditions in the Russian Federation: A Sector Analysis

  • Vyborova, E.N.;Salyakhova, E.A.
    • Asian Journal of Business Environment
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    • v.4 no.2
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    • pp.17-21
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    • 2014
  • Purpose - The paper analyzes basic indicators characterizing the volume of energy sector activity in the Russian Federation, Privolzhsky Federal district, Republic of Tatarstan. Research design, data, and methodology - The study analyzed data from the Privolzhsky Federal district, specifically, industrial production volume, electricity production, energy consumption, energy-balance data, capital investments, and capital investment structure. An array of data has been investigated in recent years. The dataset's dynamics were analyzed in 1998. Fixed capital investment dynamics were studied in 1946 the figures were converted to a comparable form using the index method. Trends were analyzed using multivariate statistics methods and the Statgraphics software package. Results - Hypothesis 1. There are sectoral disproportions in energy flows,taking into account the volume of electricity production and consumption. Trends in electricity production in general coincide with industrial production volume trends. Energy flows have disparities in individual territorial units, and in general. Hypothesis 2. The degree of sectoral economic stability decreases with insufficient levels of investment in fixed capital energy organizations. Conclusions - Because totalelectricity production is largely determined by fixed capital investments, the study of their trends and patterns will coordinate efforts on investment operations in this area.

A Markov Chain Representation of Statistical Process Monitoring Procedure under an ARIMA(0,1,1) Model (ARIMA(0,1,1)모형에서 통계적 공정탐색절차의 MARKOV연쇄 표현)

  • 박창순
    • The Korean Journal of Applied Statistics
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    • v.16 no.1
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    • pp.71-85
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    • 2003
  • In the economic design of the process control procedure, where quality is measured at certain time intervals, its properties are difficult to derive due to the discreteness of the measurement intervals. In this paper a Markov chain representation of the process monitoring procedure is developed and used to derive its properties when the process follows an ARIMA(0,1,1) model, which is designed to describe the effect of the noise and the special cause in the process cycle. The properties of the Markov chain depend on the transition matrix, which is determined by the control procedure and the process distribution. The derived representation of the Markov chain can be adapted to most different types of control procedures and different kinds of process distributions by obtaining the corresponding transition matrix.

Fashion Attitude and Bag Purchase Behaviors of Males in their 20s-30s (20~30대 남성의 의복태도와 가방구매에 관한 연구)

  • Kim, Jung-Woo;Jin, Sun-Young
    • Journal of the Korean Society of Clothing and Textiles
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    • v.35 no.3
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    • pp.267-280
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    • 2011
  • This study examined bag purchase behaviors for male consumers based on fashion attitudes. Data research were conducted on 304 males in their 20s and 30s located in Seoul & Gyeonggi province. The SPSS 17.0 software program was used to conduct data analyses such descriptive statistics, frequency analysis, factor analysis, cluster analysis, $X^2$-test, t-test, ANOVA, and Scheffe's test as a post-hoc analysis. The results of this study were as follows: Fashion attitude was identified with four factors personality, social recognition, practicality, and dignity. Customers were segmented into three subdivisions: conspicuous, recognition of individual style, and practicality of clothing. The factors derived from the factor analysis of selection criteria included intrinsic attributes and extrinsic attributes. Males in their 30s valued the intrinsic attributes and males in their 20s valued extrinsic attributes. The group of conspicuous of clothing, valued both intrinsic and extrinsic attributes as important. The factors derived from the factor analysis of bag pursuit benefit included pursuit of fashion/economic, famous brand, quality/convenience. Males in their 20s and 30s pursued famous luxury brands and fashion attitudes had a positive relevance to the bag pursuit benefit.

A Study on the Development of a Decision Support System for Tanker Scheduling (유조선 운항 일정계획 의사결정 지원시스템의 개발에 관한 연구)

  • 김시화;이희용
    • Journal of the Korean Institute of Navigation
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    • v.20 no.1
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    • pp.27-46
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    • 1996
  • Vessles in the world merchant fleet generally operate in either liner or bulk trade. The supply and the demand trend of general cargo ship are both on the ebb, however, those trend of tankers and containers are in slight ascension. Oil tankers are so far the largest single vessel type in the world fleet and the tanker market is often cited as a textbook example of perfect competition. Some shipping statistics in recent years show that there has been a radical fluctuation in spot charter rate under easy charterer's market. This implys that the proper scheduling of tankers under spot market fluctuation has the great potential of improving the owner's profit and economic performance of shipping. This paper aims at developing the TS-DSS(Decision Support System for Tanker Scheduling) in the context of the importance of scheduling decisions. The TS-DSS is defined as the DSS based on the optimization models for tanker scheduling. The system has been developed through the life cycle of systems analysis, design, and implementation to be user-friendly system. The performance of the system has been tested and examined by using the data edited under several tanker scheduling scenarios and thereby the effectiveness of TS-DSS is validated satifactorily. The authors conclude the paper with the comments on the need of appropriate support environment such as data-based DSS and network system for succesful implementation of the TS-DSS.

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The Effect of Customer Satisfaction and Customer Loyalty with Relational Benefits on the Internet Shopping Mall (Part I) (인터넷 쇼핑몰에서의 관계혜택이 고객만족도와 고객충성도에 미치는 효과 (제1보))

  • Go, Eun-Ju;Yi, Soo-Kyung;Kim, Seon-Sook
    • Journal of the Korean Society of Clothing and Textiles
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    • v.33 no.3
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    • pp.467-476
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    • 2009
  • The purpose of this study is to investigate the effect of customer satisfaction and customer loyalty with relational benefits on the Internet shopping mall. For the study, utilizing the convenient sampling method, the sample of study was composed of female and male adults aged between 20 and 30 living in Seoul metropolitan area who had experienced purchase of fashion products on the web. Of 350 distributed, 311 useful questionnaires were returned. The survey research design was employed with structured questionnaire. For data analysis, descriptive statistics, factor analysis, reliability analysis, cluster analysis and multiple- regression analysis were used. The results of this study are as follows: Psychological benefits had higher influence than other relational benefits(social benefits, customization benefits, economic benefits) on the both customer satisfaction and customer loyalty positively. There was a high relationship between the customer satisfaction and the customer loyalty. The customer satisfaction had a positive influence on the customer loyalty. And social benefits had the least influence among the sub-factors of relational benefits on the customer satisfaction. Also, customization benefits had the least influence among the sub-factors of relational benefits on the customer loyalty.