• Korean Journal of Human Ecology
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• v.21 no.3
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• pp.611-628
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• 2012

The purpose of this study was to examine influence of home energy cost on housing cost burden of Korean and U.S. monthly renter households in urban areas and to explore influences of household and housing characteristics on their home energy cost burden. Microdata for this research was extracted from the 2011 Korean Household Budget Survey and 2009 American Housing Survey. Monthly renter households in urban areas were initially grouped based on household income, followed by a detailed analysis of housing and home energy cost. Findings are as follows: (1) The maximum ratio of home energy cost to household house hold income in Korea was 49% compared to 83% in the US; (2) Energy cost to income ratio were found to have significant influences on housing cost burden and lower income households' housing cost burden was found more vulnerable to their energy cost; (3) In general, the energy cost burden of low-income renter households in Korea tended to be influenced by household size, the number of household members staying at home during daytime hours and housing unit size. The energy cost burden of low-income renter households in the U.S. tended to be influenced by home structure type, size and age, the householder's age, race, educational attainment, the household size, number of wage earners per household, income, and the number of household members between 7 and 17 years of age.

• Journal of Consumption Culture
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• v.15 no.1
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• pp.93-118
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• 2012

The purpose of this study was to examine the effect of a householder's working type on household saving from the perspective of precautionary saving behavior theory and the determinants of household saving by householder's working type. The data for this study was from the 2009 year of the Korea Welfare Panel Survey (KOWEPS), consisting of 2,463 households with householders whose working type was regular or non-regular employment(temporary, daily or public work). OLS regression analyses and Chow-tests were performed. In the regression analyses, the dependent variables for household saving were precautionary saving and precautionary asset. Precautionary saving was operationalized with the amount of average monthly saving and the ratio of average monthly saving to average monthly disposable income, and precautionary asset was operationalized with the amount of financial assets and the ratio of financial assets to net assets. The independent variables were household income, household assets, householder's working type(regular, non-regular), householder's age, sex, education level and marriage status, income level, the number of household members, housing type, debt, and public transfer income. Monthly average total consumption expenditures for household income, and net assets for household assets, the existence of spouse for marriage status, poverty for income level were used. Public transfer income was classified into three, social insurance, basic assistance and government assistance. For the analyses, Stata 11.0 version was used. The results are as follows: Householder's working type was significantly related to the precautionary saving behavior of a household. However, the precautionary saving and the precautionary asset of a household with a householder in non-regular working type was lower than those of a household with a householder in regular working type. This result is not consistent with the expectation from the perspective of precautionary saving behavior that the saving of a household with a householder in non-regular working type is expected to be higher than that of a household with a householder in regular working type. According to the analyses of the determinants for precautionary saving behavior by householder's working type, monthly average total consumption expenditures, debt, net assets, poverty, the number of household members, basic assistance were statistically significant variables. The positive relation of basic assistance to precautionary saving(the amount of average monthly saving and the ratio of average monthly saving)is a noteworthy result in the analyses of the determinants for household saving by householder's working type. The above results suggest the followings. First, it is easy to predict the unstability of economic life of a household with a householder in non-regular working type because of relatively low precautionary saving and precautionary asset. The reason for the low precautionary saving and the low precautionary asset may be a low current income of the household in spite of its willingness to save. If this reasoning is possible, it suggests that policies are needed for households with householders in non-regular working type to save. Second, the relatively low precautionary saving and precautionary asset of a household with a householder in non-regular working type suggest also their long-term economic stability. This suggests they need to try a long-term financial planning even though they have limitations to save for future because of their low current income. It is necessary to develop the financial planning for the households with unstable incomes. Third, the determinants for precautionary saving behavior by householder's working type were mostly the ones which reflect the economic condition of a household. This suggests that the economic condition of a household is a core factor for household saving. Consequently, it emphasizes the efforts for a household to acquire the adequate level of income for saving. Forth, the positive relation of basic assistance to precautionary saving(the amount of average monthly saving and the ratio of average monthly saving) suggests the possibility for a household to accumulate the precautionary saving and the precautionary asset in the channel of basic assistance.

• The Korean Journal of Community Living Science
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• v.15 no.3
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• pp.167-177
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• 2004

This study is designed to understand purchase motivation for garment depending on demographic factors among college students in Yanbian, China. Questionnaire was used for measurement tools to study the subject of the thesis. The main study was conducted against 450 college students from May 17 to June 5, 2001. The data for the study were analyzed using SAS PC program for frequency distribution, percentage, t -test, and one way ANOVA. The purchase motivation for garment are affected by demographic factors such as gender, average monthly household income, monthly expense for clothing. The result was showed as follows: A meaningful difference showed in 3 areas 'to try a new trend, impulsive buying at the store display, discount advertising' depending on the gender in terms of purchase motivations, and in all the three areas, male students showed a higher ranking. But in other motivation areas, no difference was noticed in terms of gender. In terms of purchase motivation based on monthly income, only one area 'impulse buying from a store display' showed a meaningful difference. Respondents with an average monthly household income above 2,000 yuan showed a higher tendency of 'impulse buying' compared to those with below 500 yuan or those with between 500-2,000yuan. Those with the average monthly household income below 500 yuan showed the lowest ranking in the impulse buying. In other areas of purchase motivation, average monthly household income was not an important element. A meaningful difference showed in 4 areas, 'to try a new trend, impulse buying from a store display, discount advertising', and 'for a change of mood' in the product motivation based on expense on clothing. Respondents with an average monthly expense for clothing above 100 yuan showed a higher ranking in all 4 areas than those with less than 100 yuan. In other areas, the average monthly clothing expense didn't give any impact.

• Journal of Families and Better Life
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• v.28 no.5
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• pp.113-129
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• 2010

This study explored the level and general propensity of the economic distress and the financial management behavior of household financial managers and analyzes the effects of economic distress and the sub dimensions to financial management behaviors. The research results can be summarized as follows. 1. The overall level of economic distress of household financial managers was middle-levels and the financial management behavior were slightly higher than mid-point. 2. Regarding the household variables on the economic distress of household financial managers, education levels and occupations of husbands, monthly income, financial knowledge were the variables that had a significant negative effect on the economic distress. That is, higher education levels of husbands, husbands with management-level/professional-level career, higher monthly income, and higher level of financial knowledge generated lower economic distress. 3. Regarding the household variables and the economic distress on the financial management behavior, monthly income, and financial knowledge were the variables that had a significant positive effect on the financial management behavior. On the contrary, income-asset distress was negative variable. Thus, higher monthly income, higher level of financial knowledge, and lower level of economic distress generated higher financial management behavior. Statistically significant differences were detected in financial management behavior sub dimensions. From this research, it could be concluded that the main variables affecting the level of financial management behaviors are income-asset distresses and financial knowledge.

• The Korean Journal of Health Service Management
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• v.7 no.4
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• pp.143-151
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• 2013

The purpose of this study was to analyze the socio-economic factors, the factors affecting the private insurance, utilizing Korea National Health & Nutrition Examination Survey 2011. Findings of the study can be summarized as follows. First, participants with private insurance are young, high monthly income, low prevalence of chronic illness. Second, participants with private insurance and chronic illness were young and high monthly income. Third, Average monthly household income, the higher the age is younger. Private insurance and national health insurance was higher subscription rate. Consequently, participants with private insurance and uninsured of the major differences is the age and the average monthly income. Elderly, low income are needed health promotion and disease prevention for expanded medicare, welfare policies.

• Journal of the Korean Home Economics Association
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• v.40 no.7
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• pp.211-227
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• 2002

The issue of children′s education is the most important issue for all households in Korea. It is certain that the issue of private education for children is the first issue among household′s issues. This study is to recognize the current pictures of household primate education of Korean households. Also, whether the expenditure of private education effect the economic will-being of household. The data for this study was"the 3th Korean Labor Panal", conducted by Lobor in Korea. The sample was 1950 households from the panel data. The results of this study was as following: 1. The mean of monthly private education expenditure was 149273won for all households and 217,100won for households with high school students. 2. Almost 70% households had economic burden for private education expenditure. 0% households had no economic burden. 3. The factors of influencing the level of economic burden for private education were mother′s education level, mother′s job, the number of children, living location, monthly income, total asset of household′s. The factors of influencing the amount of monthly private education expenditure positively were living in 4. The economic well-being of household was analyzed by socio-economic variables, household′s financial variables, monthly private education expenditure, the level of economic burden of private education. The economic well-being were sub-categorized 4 divisions; the level of economic problem, the level of satisfaction for household′s income, the level of satisfaction for general living, the level of subject economic condition)

• Journal of the Korean Home Economics Association
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• v.37 no.2
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• pp.127-144
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• 1999

The purposes of this study were to identify the housing maintenance cost, imputed rent fee and total housing cost of households living in rental house, to analyze the factors related to their housing maintenance cost, imputed rent fee and total housing cost and to investigate the factors contributing to total housing cost to total household income ratio. The data used for these purposes, was 97 KHPS of Daewoo Economic Research Institute. Sample size of households living in rental house, was 663. Statistics performed for the analysis were frequencies, percentiles, t-test, Lorenz cutie and Gini coefficient, Tobit analysis, OLS and Logistic analysis. The results of this study were as fellows: First, monthly cost of monthly rent & maintenance and repairs of households living in rental house with a deposit was lower than rental house, while the imputed rent fee of households living rental house with a deposit was higher than monthly rent households'And, total housing cost of households living in rental house with a deposit was higher than monthly rent households'. Second, Gini coefficient of the housing maintenance cost was 0.440, Gini coefficient of imputed rent fee was 0.362, and Gini coefficient of total housing cost was 0.291. Third, the variables related to their housing maintenance cost were family type, total household expenditure of socio-demographic characteristics and residence, type of rent, housing type of housing environmental factor. Also, the variables contributing to imputed rent fee were job type and educational attainment of household hearts, the number of family members, total household expenditure, residence, type of rent, housing type and tole number of rooms. In addition, the variables associated with total housing cost were job type and educational attainment of household head, total household income and residence, type of rent, housing type and the number of room. Finally, age, job type, educational attainment of household head, wife's employment status, the number of family members, family type, total household expenditure, residence, rent type of rent, housing type, the size of living space, and the number of room were significant variables contributing to total household cost to total household income ratio.

• Journal of Families and Better Life
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• v.17 no.1
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• pp.121-138
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• 1999

The purpose of this study were to identify the factors related to the changes of family total income total expenditures housing maintenance costs food expenditures and clothing expenditure, The data used for these purposes was collected from housewives living in jeonbuk area by questionaire in May 1998. Sample size of this data was 341 households. Statistics performed for the analysis were frequencies percentage means and multiple regression analysis. The results of this study were as follows; First monthly income decreased by 370,000 won than last year. The variables contributing to decreasing income were job type of household head and educational attainment of housewives the amount of total family current income total household expenditure and the perception of economic status. Second monthly expenditure decreased by 24,000 won than last year. The variables related to decreasing expenditure were educational attainment of housewives and the perception of economic stats. Third the variables related to their total household change were job type of household head number of family current household expenditure and the perception of economic status. finally the variables associated with total satisfaciotn of family life were the amount of leisure time the perception of economic attainment the confirmity of family and the amount of current household expenditure.

• Korean journal of food and cookery science
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• v.7 no.2
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• pp.51-74
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• 1991

It has been many changes in traditional Korean food habits according to the improvement of household income levels and the rise of standard of living. Therefore, the pattern of consumption in animal origin processed/convenient foods would have changed. This research aims to find the tendency of consumption in some animal origin processed/convenient foods compared with typical Korean traditional foods according to household income levels. Therefore, this survey was made on 698 children from 10 elementary schools located in Seoul. They were divided into 6 groups according to their household income levels. The data were analysed using Chi-square test and F-test in SPSS package program. From this research, the following results were obtained: 1. Their average monthly household income levels were between 500, 000~1, 500, 000 won(64.2%) and their family were of mostly 4~5 members. There were no significant differences in children's physical status among various income groups. As the household. income level increases, the food expenditure per month increases and Engel's coefficient decreases. 2. The animal origin processed/convenient foods that have no significant differences are ham, sausage, milk, yogurt, canned fish, and fish meal. The high-income groups preferred bacon, cheese, pork cutlet, and fried chicken, compared to those of low-income groups. The low-income groups preferred crab-flavored meal, compared to those of high-income groups. 3. In some Korean traditional foods, there were significant differences according to income levels. Those were Bulgogi, baked fish, fried meat, cooked fish and meat with soy-bean sauce. Fried fish and anchovy have no significant differences in food intake frequency according to household income levels. Chicken and egg saute are liked by children in every income groups. 4. Between the animal origin processed/convenient foods and the typical Korean nonprocessed traditional foods, children preferred the former regardless of income levels. In conclusion, animal origin processed/convenient food consumption patterns were not affected by household income levels.

• International Journal of Human Ecology
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• v.15 no.2
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• pp.93-104
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• 2014

This study examined housing costs and housing affordability of young college graduate renters in the Capital Region of Korea using microdata of the 2012 Korea Housing Survey (KHS). A licensed microdata set of 2012 KHS was obtained on September 29, 2012 from the official KHS Website and analyzed statistically. I selected 93,795 young college graduate renters between 20 and 29 years of age in the Capital Region and compared their housing costs across income levels and tenure type. Major findings were as follows: (1) Jeon-se deposit was on average 3.1 times the annual household income and monthly renters' deposit was 7.1 times the monthly household income; (2) households in higher income groups tended to pay a larger deposit and/or monthly rent; however, households with a lower income were found to pay a greater proportion of income to housing costs than households with a relatively higher income; (3) a total of 64% of all young college graduate renters had housing cost burdens to pay 30% or more of their income for housing, and more than 78% of the low-income households were found burdened; and (4) after housing cost payments, low-income households had less than one million KRW left to spend on other needs and savings; in addition, some low-to mid-income households had zero or even minus income left after housing cost payments.