• Journal of Family Resource Management and Policy Review
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• v.19 no.4
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• pp.35-53
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• 2015

The purpose of this study was to investigate the effects of social supports and health on the depression of the rural elderly according to their household patterns. Data were collected from 1,000 of the elderly over 65 living in rural Korea. A questionnaire was used with direct interviews and was analyzed through descriptive statistics, ANOVA, and a multiple regression analysis. The major findings of this study are as follows. First, the general characteristics, social supports, and health of the rural elderly are significantly different according to their household patterns. Second, depression in the rural elderly is also significantly different according to household patterns; elderly people in a single household report greater depression than elders in a coupled household or those in a household with a child. Third, satisfaction with health conditions and nutrition management variables has a significant influence on the depression of the rural elderly in all household patterns. Fourth, there are differences among variables that affect depression of the rural elderly according to their household patterns.

• Journal of the Korean Home Economics Association
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• v.35 no.1
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• pp.277-290
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• 1997

This study analyzed household expenditure patterns using the 1990 Korean Consumer Expenditure Survey and identified the factors determining a household's probability to be in an expenditure pattern. The results of cluster analysis revealed five expenditure patterns: Education and Recreation-dominated; Necessities-dominated; Miscellaneous expenditure-dominated Housing dominated; and Transportation and Communication-dominated patterns. Based on the results of descriptive and Logit analyses household income household size age of household head and housing status were major factors to determine the type of househld expenditure pattern.

• Human Ecology Research
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• v.53 no.5
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• pp.489-502
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• 2015

This study identifies the relation between recognition relatively deprivation and consumption patterns. The data used were the seventh Korea Welfare Panel Study (KOWEPS). The final sample of 1,597 households was selected based on several sampling steps standard weights suggested by KOWEPS were applied. The final sample was subdivided into household recognizing relatively deprivation (51.7%) and non-household recognizing relatively deprivation (48.3%) per level of subjective income and objective income. We derived six consumption patterns from the cluster analysis as per consumption ratio: transportation dominant consumption pattern, essential consumption pattern, other dominant consumption pattern, care attention consumption pattern, private transfer consumption pattern, and education dominant consumption pattern. The results of this study are as follows. The analysis of the determinants of recognizing relatively deprivation in regards to question one found that the household was likely to be relatively deprived when: the head of a household was older, a household had a dual income, children and more total assets then those assessed 1 year ago compared to household living conditions, result of comparing the consumption patterns difference between household recognizing relatively deprivation and non-household recognizing relatively deprivation indicated that household recognizing relatively deprivation was more likely to belong to the transportation dominant consumption pattern, other dominant consumption pattern, and private transfer consumption pattern. The multinomial logistic analysis conducted to understand the determinants affecting the consumption patterns of household recognizing relatively deprivation indicated differences in demographic characteristics, household-related variables, financial variables and perception of economic conditions.

• Journal of Family Resource Management and Policy Review
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• v.22 no.1
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• pp.99-118
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• 2018

This study examines household expenditure patterns for single-parent families to better understand the decision-making process and to consider the appropriateness of the decisions on monetary allocation. This study investigates the household expenditure patterns and the determinants of expenditure patterns for single-father families as compared to those for single-mother families. A series of analyses of the data, which was gathered from the 2015 Single-parent Family Survey on household expenditures, were conducted. The results show that there are differences in the household expenditure volumes and patterns between single-father families and single-mother families. Differences in the categories of expenditure and variations in the share that was allocated for each expenditure category in single-father families as compared to in single-mother families were both statistically significant. Disparities were found in seven categories of household expenditure between single-father families and single-mother families. The amount allocated from total expenditures for each expenditure category was also significantly different between single-father families and single-mother families in regards to clothing, home equipment, housing, water/light/heat costs, transportation, and telecommunication. The determinants of the total household expenditure for single-parent families were age, level of education, number of family members, public transfer, household income, assets, and debt.

• Journal of the Korean Society of Clothing and Textiles
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• v.38 no.1
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• pp.33-45
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• 2014

This study investigates urban household consumption patterns for clothing items in different income cohorts through the analysis of an Almost Ideal Demand System (AIDS) model. Korea quarterly time-series statistics data for urban household expenditures from 1990 to 2013 analyzed household demand. The price and total consumption expenditure elasticities of 4 clothing items (outer wear, shoes, clothing related services and other miscellaneous clothing) for 7 income cohorts were estimated to investigate the clothing consumption patterns of different income cohorts. The study results show that the different household income cohorts have different consumption patterns for clothing items. The elastic demand of total consumption expenditures in the lowest household income cohort suggests that they consume clothing items as luxuries while other households mostly consume them as necessities. The price elasticity for all household income cohorts and clothing items (except the highest household income cohort and outer wear) was found to be elastic. The highest household income cohort had an inelastic price demand for all clothing items that implied a less sensitive clothing consumption change for the clothing price change than other households.

• Journal of Distribution Science
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• v.18 no.2
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• pp.69-77
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• 2020

Purpose - This paper is aimed to analyze the effects of the mandatory closing regulation targeting large retailers, which has been implemented since 2012 to protect small retailers. We examine the changes in consumers' choice of retailers and their purchasing patterns of agri-food following the implementation of such regulation. Research design, data, and methodology - Household spending patterns were identified through the historical data of household food purchase, consumer panel provided by the Rural Development Administration. Clustering was employed to determine the household spending patterns. Moreover, the different household spending patterns before and after the regulation were comparatively studied. The patterns of consumers' choice of retail stores and shopping baskets by the type of retailers, derived from the respective datasets before and after the regulation, were compared to analyze the effects of the regulation. Results -After the regulation, some consumers who used to shop at large retailers before the regulation changed their shopping places to small retailers. However, the product categories that consumers had mainly purchased before the regulation were rarely changed even after the regulation. Conclusions - Although the regulation helped migrate some of the consumers to small retailers, the regulation seemed to have failed to stimulate consumers to purchase the goods, normally bought at large retailers, from traditional markets. In other words, traditional markets are not effective substitutes for regulation-affected retailers.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.9
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• pp.5564-5577
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• 2014

This study examined how the differences in household characteristics influence consumer expenditure patterns. The Price-Scaling AIDS model with household income and expenditure survey data were used for the analysis. The results showed that the income elasticity of the service items is greater than non-service items, indicating an increase in higher demand of service items with the same increase in household income. The household expenditure patterns vary according to the commodities, holding age and income level. The so-called traditional pattern, which emphasizes spending for non-service items, changed to the one with a higher expenditure ratio for service items. Such a change in household expenditure patterns naturally derives the expansion of the relevant service market; hence, the growth of the related service industry. This highlights the need to formulate an appropriate response from the supply side that deals with the changes in the service market.

• Journal of the Korean housing association
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• v.12 no.4
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• pp.53-62
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• 2001

The purpose of this study was to compare the housing expenditure patterns of elderly and non-elderly households. The raw data from the National Survey of Family Income and Expenditure 1996were used for this study. The final sample was 12,007 households. Generally, elderly households tended to spend less on housing expenditure than non-elderly ones. Also the effects of the household characteristics on housing expenditure were significantly different between elderly and non-elderly house holds. the household characteristics significantly effected on housing expenditure of both two house holds were household income, household size, and location of the residence. Occupation, duction, and sex of the head were household characteristics which had more influences on housing expenditure of elderly households.

• Journal of the Korean Society of Clothing and Textiles
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• v.28 no.7
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• pp.939-949
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• 2004

The purpose of this study was to analyze clothing expenditure patterns of urban, rural/farm, and rural/non-farm households. A sample of 23,994 households was selected from the 1996 National Survey of Household Income and Expenditure, and 1996 Farm Household Economy Survey. Frequency and regression analyses were used. Major findings were: 1) clothing expenditure of rural/farm households were significantly lower than that of urban and rural/non-farm households; 2) in terms of clothing expenditure by categories, urban and rural-non-farm households have similar expenditure pattern; 3) clothing expenditures relative to income were lower than 1 for all three groups; 4) clothing expenditures relative to total income for urban and rural/non-farm households were higher than 1, while that for rural/farm households was lower than 1; 5) a major factor explaining clothing expenditure differences between urban and rural consumers was the household head＇s occupation.

• Journal of Families and Better Life
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• v.17 no.4
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• pp.31-46
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• 1999

This study aims to investigate the difference of the financial state, the expenditure patterns of household, the expenses of Auto, and the influential variables on the purchase in automobiles according to the auto-installment. The important findings from the data based on the samples of household with only one car on the Korea Household Pannel Study by Daewoo Institute. 1) The financial state of installment households were not good than those of non-installment. 2) The expenditures of the purchase and maintenance of installment household were higher than those of non-installment. 3) Variables affecting to the expenses of the purchases of installment households were the evacuation of car, in the case of new car, household's net assets and the living level compared to last year. In those of non-installment households were the evacuation of car and in the case of new car.