This study aimed to investigate the changed consciousness and expenditure on Kyong-Jo after IMF economic crisis and the some factors which have effects on the change. The expenditure on Kyong-Jo included donations and gifts associated with congratulations and condolences. The data were collected through the personal questionnaire on Cheju Island. The sample consisted of 400 married adults whose age were between 20 to 65. The independent variables were some individual characteristics, household related variables, and Kyong-Jo related variables. The dependent variables included the change in consciousness and expenditure on Kyong-Jo. The data were analyzed by methods such as frequencies, means, Multiple Regression and Logistic Regression analysis. Major results were as follows. The respondents perceived that Kyong-Jo is fundamentally a good custom to help each other when some one is in the hard time. Their perception of the expenditure on Kyong-Jo has not been changed even since IMF economic crisis. 70% of the respondents staid that there was little difference of the expenditure on Kyong-Jo before and after IMF economic crisis. This trend is in contrast to the perception and the expenditure of the people who lived in the other residences after IMF economic crisis. The factors which had significant effects on the respondent's consciousness of the expenditure on Kyong-Jo were occupation, whether owns a house or not, household income, and household assets. The change of household expenditure on Kyong-Jo was effected by the respondent's sex, occupation, household income, household assets, and social network. These results suggested that the respondents on Cheju Island more strongly hold the conservative perception to the expenditure on Kyong-Jo rather than the people in other residences.
This study aimed to identify and compare variables affecting life satisfaction of older women by focusing on household types and poverty levels. The study used data from the Korea Longitudinal Study of Aging administered by the Korea Labor Institute in 2006. The data for 1,017 older women ages over 65 including 427 single households and 590 couple households was analyzed. First, interaction effects of household types and poverty levels on life satisfaction were statistically significant. For the non-poverty households of older women, there was no explicit difference between single households and couple households in life satisfaction, but for the poverty households, single households were lower in life satisfaction than couple households. Second, as a result of reviewing four groups of older women (poverty-single household, poverty-couple household, non-poverty-single household, and non-poverty-couple household), besides religion, it was found that there were significant differences in age, education level, number of children, health level, residence area, and status of economic activity. Third, when analyzing variables affecting life satisfaction, common predictors for the four groups were health level and ownership of house. Older women who perceived to be healthier and owned their own homes were higher in life satisfaction. For poverty-single households, older women with over middle school graduation were also higher in life satisfaction, but for poverty-couple households, older women with over middle school graduation and more children were higher.
The Journal of Asian Finance, Economics and Business
/
v.7
no.5
/
pp.291-304
/
2020
This paper examines the factors that drive temporal income diversification in rural areas of the Mekong River Delta in Vietnam, based on a framework that conceptualized diversification as a function of a household's capacity to diversify and incentives (both push and pull factors) to diversify. Drawing from five rounds of the Vietnam Living Standard Measurement Surveys covering a 13-year span (1993-2006), two panel datasets made from five cross-sectional samples are used for the analyses. The data are drawn from the Vietnam General Statistics Office. Both tobit model and Ordinary Least Squares model with random and fixed effects are applied. The main points emerging from the analysis is that income diversification is strongly influenced by household labor capacity. The relationship between household labor capacity and increasing insertion in non-farming wage activities is not driven by unobserved time-invariant factors such as household ability and motivation, but is instead driven by the higher labor capacity of households. In terms of the other household capacity variables, the effect of farm size is much larger in terms of retaining households in traditional occupations as compared to pushing them towards non-farm wage employment. Other variables such as household access to financial capital do not play an important role.
Migration studies that assume that decision making is done on an individual basis is overlooking the importance of the family factor. Considering that must people belong to families, it is more appropriate to view migration decision from the perspective of the family. This study analyzes the household migration decision whereby the alternatives are to stay, 10 undertake family migration or to undertake single migration of a member. In developing a conceptual model of household migration decision, it is assumed that the household's objective is to maximize household income which is a function of individual members' earnings. The benefits and costs of household migration and individual migration are identified and the household chooses the migration strategy that maximizes expected household income. When household members have conflicting earning prospects in the potential destination, the household considers single migration of the member with the best earning potentials. However, lone migration by a household member involves cost of family separation which is both monetary and psychic, and this study shows that lone migration is undertaken only when its net gains to the family are greater than the separation cost of the family. The major benefit of choosing single migration is the retention of home base in the place of origin which can serve as an insurance against the uncertainty of obtaining a job in the destination, the benefit that is unavailable in family migration. The conceptual analysis shows how a household's migration decision would depend on its members' economic roles and prospects in the destination. Besides the economic variables, social and life cycle variables of the family translate into separation costs and benefits of migration. This study indicates that one - earner family in low economic status but with good earning prospects and high separation costs is more likely to choose family migration over single migration.
This study focused on examining the effects of Objective, Subjective variables on the household economic well-being. Data were collected from 254 financial managers in Seoul. City. Results show that the Causal model supported hypothesis. Almost of the hypothesis were supported and Perceived adequacy of resources variable was mediated between Input variables and Satisfaction with financial situation variable. The present study implicated that this model apply to family resource management research.
The purpose of this study is to analyze the variables related to household work and to find the methods to increase it. The data using in-depth interview method was collected. 30 homemakers were sampled, and the frequency and interview contents were presented. The major findings were as follows: 1. 18 out of 30 interviewees were satisfied with their household work, but they just accepted their given lives. 2. Changes in socialization for woman, general images of household work and women's perception to their work rather than reduction of work load are needed. 3. When women choose the household work as their job, their satisfaction will be increased.
This study is object to structural analysis of household running machine frame. The finite element model was developed to compute the stress, strain and natural frequency for household running machine frame. For structural analysis using result from FEM Code. In other to structural analysis of household running machine frame, many variables such as load condition, boundary condition and weight condition are considered.
Journal of the Korean Regional Science Association
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v.31
no.3
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pp.19-37
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2015
The purpose of this study is to confirm a structural relationship on factors affecting ratio of public transportation spending to a car-owning household's total transportation expenditure. For this purpose, informations of household's attributes and activities were gathered using the 13th Korean Labor and Income Panel Study (KLIPS), and information of land-use and transportation conditions on their residential locations was collected and processed. A structural equation model (SEM) on determinants affecting ratio of public transportation expenditure was constructed, based on an execution result of factor analysis using the analyzing database. The latent variables were derived as land-use/transportation characteristic, household's attribute and household's activity. In the analyzing result of the SEM, the entire latent variables were significant. And, the first two latent variables had positive influences, and the last latent variable had a negative impact. To promote public transportation use of the car-owning households, this study suggests that the policies such as enhancement of convenience in public transportation use for the household's activities and improvement of the land-use/transport conditions are required.
Journal of Family Resource Management and Policy Review
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v.2
no.2
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pp.147-159
/
1998
Given the dramatic increase in the percentage of married women working in clercial occupations and the inflexibility of work commitments for employees working in this domain, this paper investigates the division of household labor between married female clerical workers and their husbands, and their sources of external help. The total housework time of couples, the percent of total housework done by husbands, and a scale measuring the wife’s perception of the frequency with which her husband does specific household tasks are all used to measure the division of household labor between couples. Data for 143 couples were gathered from using structured questionares and the time dairies that included one weekday and one weekend day. The findings of this study are as follows; 1) The couples receive substantial support in housework from their mothers. 2) Wives spend an average of 23 hours and 26 minutes per week on household labor, whereas husbands spend an average 7 hours and 7 minutes per week. Husbands do an average of 20.9% of all housework done by the couples. Wives typically perceive that their husbands are not frequently participating in a variety of household tasks(mean = 2.88 on a 5-point Likert scale where 1=never and 5=always). 3) Multivariate analysis reveal that working hours is negatively related to while the presence of child under 6 years old is positively related to total housework. Time availability variables(e.g. working hours and the presence of child under 6 years old) and relative resource variables(e.g. the rate of wife’s income on that of husband) are related to the percent of total housework done by husbands. The sex-role attitude variables are related to the wife’s perceptions of the frequency with which her husband does specific household tasks.
The housing market requires customized housing to be supplied according to the various characteristics of households. Multinominal Logistic Regression was used to analyze the effects of variables of household characteristics according to the number of family members on the choice of housing size in the scope of the whole country's housing market. Analysis showed that the number of family members has its own characteristics. When a household has a smaller number of family members, there are more variables affecting choice of housing size. Living and housing expenses variables served as significant variables that affect all household types. Results showed that households with more living and housing expenses are more likely to choose a large sized house and where households have a greater number of family members, there is more influence on that choice. The age of the householder was only found to be a meaningful variable in 1-2 person households and 3-4 person households, particularly in the choice of a small or large sized house. This shows that the age of the householder does not play an important role in choosing medium sized houses for households of under 4 people, but affects the choice of small and large sized houses. The academic ability of household members also served as a significant variable. While 1-2 person households with high academic ability tend to select a large sized house, 3-4 person households with high academic ability tend to select a small sized house. It is observed that members of both 1-2 person households and 3-4 person households tend to select their house between a large sized house and a small sized house in order to own their own houses. The result of this research suggests that there are various and detailed variables on the choice of housing size. Especially, a notable result is that household characteristics more significantly affect the housing size choice of 1-2 person households, while the trend of an aging society will more significantly affect a 3-4 person households' choice of a large sized house. Therefore, a study on the choice of housing size according to characteristics of elderly households and 1-2 person households should be continually analyzed.
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