• The Journal of Industrial Distribution & Business
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• v.12 no.2
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• pp.41-52
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• 2021

Purpose: This study aims to provide implications for the government's housing supply policy by analyzing the factors that determine the type of real estate holding and household debt. This study started from the awareness that the determinants of household debt differ depending on the type of real estate holding. Research design, data and methodology: Real estate ownership type was classified and analyzed into 4 models: model 1 (1 household 1 house and self-resident), model 2 (1 household multiple real estate ownership and self-resident), model 3 (1 household 1 house and rent residence), model 4 (1 household holds a large number of real estate and rent residence). The analysis method used multiple regression analysis. The dependent variable was household total debt. As independent variables, household debt, annual gross household income, financial assets, real estate net assets, annual repayment, demographic & residential characteristics were used. Results: 1) Model 4 has the highest household debt and the highest gross income, Model 2 has the most real estate mortgage loans and real estate net asset, and Model 1 has the highest real estate mortgage payments. 2) The positive factor of common household debt determinants is real estate net assets, and the negative factor is financial assets. 3) It was the net assets of real estate that acted as a positive factor in common for the four models. In other words, the more financial assets, the less household debt. It was analyzed that the more net assets of real estate, the more household debt. The annual repayment of financial liabilities had no influence on household debt, while the annual repayment of loan liabilities and household debt had a positive relationship. Conclusions: 1) It is necessary to introduce benefits and systems that can increase the proportion of household financial asset. Specific alternatives include tax benefits and reduced fees for financial asset investment. 2) In the case where a homeless person prepares one house for one household, it is necessary to prepare various support measures according to the income level. The specific alternative is to give additional points for pre-sale or apply an interest rate cut incentive for mortgage loans.

• Journal of the Korean Home Economics Association
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• v.35 no.5
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• pp.1.1-15
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• 1997

The purposes of this study were to identify the household's financial status by life cycle stage and no analyze contributing factors to financial planning for retirement preparation among Korean marred couples. For these purpose, 2074 married couples those being under 55 and having either single earner or dual earners were selected, and total sample was divided into three stages; young-aged(＜35), middle-aged(35-44) & old-aged(45-54). Statistics were frequencies, means, percentile, and logistic analysis. The results were as follows. First, old-aged had higher level of total income, total expenditure and total assets than either young-aged or middle-aged. In addition, households those holding private pensions were likely to have higher total income, total expenditure and total assets than those owning no private pension. while middle-aged had a highest total debts. Second, gini coefficients of total income and total expenditure between three aged groups were similar, but old-aged had the highest gini coefficient of total assets and total debts. In particular, gini coefficients of total assets and total debts of households those having no private pension were greater than those holding private pensions. third, contributing factors to private pension ownership of young-aged were family & household-related factor and financial factor, middle-aged's factors were household head's characteristics and financial factor. Also, old-aged's factors were household head's characteristics, family & household-related factor and financial factor.

• Journal of the Korean housing association
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• v.7 no.2
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• pp.69-77
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• 1996

Mobility in housing is a normative way to satisfy family needs for· better· living conditions. In the context of relative decisions. mobility can be understood as forced relocation or unforced relocation In making relocation. the household chooses a particular 'environmental quality profile. Therefore. the understanding of mobility and relocation in housing is needed for· the developing and planning of housing evnironment. The major findings are s follows ;1. The motives of mobility are composed of 4 factors('material porseperity’, 'convenience· safety'. environmental improvement' and 'forced relocation'). Especially, 'material prosperity' was defined the most fundamental factor· for. 2. The components of housing environment quality were composed of 3 factors related to the scale of home environment. They were 'neighborhood character factor', 'dwelling character· factor·'. And 'location character· factor'. The factor 'neighborhood character' was defined the basic factor· to choose for the housing environmental quality profile.3. It was examined that the motives of mobility and the components of home environmental quality were significantly different by the household characteristics (income. family life cycle. and tenure type).

• Journal of Agricultural Extension & Community Development
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• v.16 no.3
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• pp.557-586
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• 2009

The objective is to find the classification criteria between urban and rural, and to classify the urban and rural area all the country in Korea. For the research objectives, reviews of related literature and statistical yearbooks were used for finding criteria and analysing data. Through reviewing the literature, some indicators were selected in views of rurality and urbanity, and gathered the data from statistical yearbooks. And factor analysis was used to find first and second factor for classifying region. Six factors as a city surrounding(36%), non-farmer household population ratio(28.1%), cultivated acreage(12.48%), agricultural production surrounding (12.40%), the farm family number change(5.58%) and household number rise and fall(5.54%) were finding. And rurality factors were cultivated acreage, agricultural production surrounding, the farm family number change and household number rise and fall, and urbanity factors were city surrounding and non-farmer household population ratio. Based on the first and second factor loaded amount, four type regional classification was followed.

• The Journal of Fisheries Business Administration
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• v.45 no.1
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• pp.17-31
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• 2014

This study examines trends in the overall income inequality of fishery household from 2003 to 2012 with the panel data of the Fishery Household Economy Survey. To investigate the potential determinants of income inequality, we decomposes the Gini coefficients into five income sources, fishery income, non-fishery income(non-fishery business income, non-business income), transfer income, irregular income and calculate the impact of each income sources on total income inequality. An evident trend toward increasing inequality of household income was found. Also, we find rising fishery income and non-fishery income play important role in the rapid increase of income inequality. Only transfer income appear to reduce total income inequality.

• Journal of the Korean Home Economics Association
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• v.31 no.3
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• pp.75-87
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• 1993

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.

• Journal of Families and Better Life
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• v.23 no.2 s.74
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• pp.159-166
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• 2005

The purpose of this study was to understand the relationship between fertility rate and the women's employment experience in household having one child, to observe the effects of related personal factor, family factor and social factor. The sample population included 276 married women in the reproductive ages(25$\~$45 years old) which are no additional pregnant or delivery after the first child birth. The major findings of the research are as follows: First, it shows some relevance between the plan of child birth and the experience of women for employment. Specially, the married women experiencing discontinuance of employment become to have a plan and motivation about the second child birth. Second, the motivations of child birth in woman of lower fertility household are related to her age, the existence of young child, and the education. Thirdly, as a result of Logit analysis, they have the plan to deliver additionally after first child birth in case of younger age and higher educational achievement than Master degree.

• Journal of Families and Better Life
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• v.9 no.2
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• pp.119-135
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• 1991

The purpose of this study is; 1)to identify the overall levels of household role perception, performance, and evaluation of the low-income employed wives residing in the city. 2) to investigate the relations of them. 3) to examine the factors affecting them. For the purpose of this study, the samples were selected form the low-income employed wives living in the poor area of Seoul and engaging in the poor jobs. The significant results are as follows; 1) The household role perception score is 3.45. This significantly differs to the marriage duration. 2) The household role performance is 3.65. This significantly differs to the communicative satisfaction between husband and wife. 3)The urban low-income employed wives have evaluated that they do their best in the economic role. 4)There are positive correlations between the household role perception and the household role performance of the low-income employed wives. 5) The communicative satisfaction between husband and wife is observed to have the significant factor among the variables which are related to the household role.

• Journal of Families and Better Life
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• v.14 no.2
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• pp.157-170
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• 1996

Even if holding debt may be a rational means for household to maximize utility under any circumstance and any time through the family life cycle most households have some difficulty to determin and keep the moderate debt amount. The purpose of this study is to identify the characteristics of household's debt and the factor associated with debt. Data used in this study consisted of 4,009 households. The results of this study were as follows; Among 4,009 households 1,400 housholds?(34.9%) owed. Age education and occupation of household header liquid and real asset and housing ownership had significant effects on whether household having debt. The real and liquid asset had significantly positive relation with the liabilities of financial agency whereas the occupation of household header liquid asset and unearned income with private liabilities. Finally age education and occupation of household header home ownership and liquid asset had significantly negative effect on the total a ount of debt while earned and unearned income and real asset had positive one.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.66 no.7
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• pp.1025-1031
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• 2017

This study compares the characteristics and the determinants of household electricity consumption for low electricity consuming and high electricity consuming households. The data are drawn from a household energy consumption sample survey by Korea Energy Economics Institute in 2015. The results show the differences in socio-demographic, dwelling, and electricity consumption characteristics between two households. Next, the factors affecting the household's electricity consumption are investigated. Common factor affecting the electricity consumption function is only the number of electrical appliances. There are also the differences in major determinants of the household's electricity consumption functions for two households. The results of this study would be useful for understanding socio-demographic, dwelling, and electricity consumption characteristics of low electricity consuming and high electricity consuming households.