• Land and Housing Review
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• v.13 no.3
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• pp.57-68
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• 2022

This study investigates what influences the 2030 households' intention to utilize housing support policies for the younger generation. Using the logistic regression model, our empirical results show that the 'the recognition of youth housing support projects', 'the housing occupation', 'employment type', 'housing type', and 'age' factors have a significant effect on the intention to use the housing support policies. Specifically, the intention is positively associated with economic activity, one-room residence, monthly rent, employment status during the Covid-19 period, and policy recognition, while negatively related to age. In addition, willingness to use the housing support policies is greater when respondents lived in a studio, lived on a monthly rent, recognized the policy, and improved their employment status. The results suggest that housing support programs need to be expanded and improved. Moreover, information on housing support policies should be efficiently delivered to eligible households, and more sophisticated housing support policies should be provided for young people early in their careers.

• Journal of the Korea Institute of Building Construction
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• v.23 no.6
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• pp.809-820
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• 2023

In contemporary society, there is a notable rise in single-person households, coupled with an increased demand for residential spaces, necessitating the exploration of suitable housing solutions. Modular architecture is gaining prominence as a method to deliver cost-effective and sustainable living spaces efficiently. This study introduces a method for optimizing the design and construction processes of modular building units through Building Information Modeling(BIM) technology. It involves an analysis of factors that enhance living quality and meet the housing needs of single-person households. Utilizing BIM, a resource-efficient and cost-efficient modular apartment unit has been developed. BIM facilitates the visualization and integration of architectural components, thereby reducing design errors and enhancing productivity. This research evaluates both the benefits and constraints of modular architecture. Modular constructions, when combined with BIM, emerge as a potent solution for housing challenges, enriching the quality and variety of residential options. Nevertheless, considerations such as technical prerequisites and financial implications are also discussed. The study showcases the potential and merits of utilizing BIM for designing apartment units tailored to single-person households, offering a viable approach to ameliorate their living conditions.

• Journal of Distribution Science
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• v.12 no.4
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• pp.31-39
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• 2014

Purpose - This study investigates the following two issues. First, we attempt to find the important determinants of housing investment and to identify their significance rank using survey panel data. Recently, the expansion of global uncertainty in the real estate market has directly and indirectly influenced the Korean housing market; households demonstrate a sensitive reaction to changes in that market. Therefore, this study aims to draw conclusions from understanding how the impact of financial strength of the household is related to house investment. Second, we attempt to verify the effectiveness of diverse indices of financial strength such as DTI, LTV, and PIR as measures to monitor the housing market. In the continuous housing market recession after the global crisis, the government places top priority on residence stability. However, the government still imposes forceful restraints on indices of financial strength. We believe this study verifies the utility of these regulations when used in the housing market. Research design, data, and methodology - The data source for this study is the "National Survey of Tax and Benefit" from 2007 (1st) to 2011 (5th) by the Korea Institute of Public Finance. Based on this survey data, we use panel data of 3,838 households that have been surveyed continuously for 5 years. We sort the base variables according to relevance of house investment criteria using the decision tree model (DTM), which is the standard decision-making model for data-mining techniques. The DTM method is known as a powerful methodology to identify contributory variables for predictive power. In addition, we analyze how important explanatory variables and the financial strength index of households affect housing investment with the binary logistic multi-regressive model. Based on the analyses, we conclude that the financial strength index has a significant role in house investment demand. Results - The results of this research are as follows: 1) The determinants of housing investment are age, consumption expenditures, income, total assets, rent deposit, housing price, habits satisfaction, housing scale, number of household members, and debt related to housing. 2) The impact power of these determinants has changed more or less annually due to economic situations and housing market conditions. The level of consumption expenditure and income are the main determinants before 2009; however, the determinants of housing investment changed to indices of the financial strength of households, i.e., DTI, LTV, and PIR, after 2009. 3) Most of all, since 2009, housing loans has been a more important variable than the level of consumption in making housing market decisions. Conclusions - The results of this research show that sound financing of households has a stronger effect on housing investment than reduced consumption expenditures. At the same time, the key indices that must be monitored by the government under economic emergency conditions differ from those requiring monitoring under normal market conditions; therefore, political indices to encourage and promote the housing market must be divided based on market conditions.

• Korean Journal of Social Welfare
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• v.54
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• pp.295-319
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• 2003

The study starts from the critical thought on why most of female-headed single-parent families are under poverty regardless of their hard working. The study is to explore the lives of low-income single-parent families as working poor and to develop comprehensive policies for them out of poverty and other social vulnerability, using the concept of social exclusion which has been broadly introduced in the field of social science. Specifically, the study aims to analyse the process of social exclusion of low-income single-parent households, by comparing the differential lives in the economic, social, political aspects among male-headed dual-parent household, female-headed single-parent household, and poor female-headed lone-parent household who is under the public poverty line. The study was based on the secondary data analysis. A total of 3182 samples(the first 2508, the second 235, and the third 439) were included. Using SAS 6.12, frequency, chi-square, means, and ANOVA were utilized for the statistical analysis. Results show that single mothers, on the whole, are vulnerable population in terms of employment, housing stability and income. Also, low-income households of single mothers are more negatively affected by the IMF economic crisis and carry more pessimism on their future. In comparison with male-headed households, single mothers have fewer support from social insurance as well as family resources and higher burdens of additional caring need for the old, the disabled, and the chronically ill. These findings identify the reality in which female-headed households with dependent children are exposed to the overall social vulnerability and thus are easily trapped into the social disadvantaged. finally, the study suggests the development of comprehensive policies and counter-measurements for low-income female-headed families to be the primary member in our society.

• Land and Housing Review
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• v.12 no.4
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• pp.93-101
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• 2021

As the number of small households (1 to 2 persons per household) in Korea gradually increases, so does the importance of housing supply policies for small households. In response to the increase in small households, the government has been continuously supplying urban housing for these households. Since housing for small households is a sales and rental business similar to apartments and general business facilities, it is important for the building owner to calculate the project's estimated construction duration during the planning stage. Review of literature found a model for estimating the duration of construction of large-scale buildings but not for small-scale buildings such as urban housing for small households. Therefore this study aimed to develop and verify a model for estimating construction duration for urban housing at the planning stage based on multiple regression analysis. Independent variables inputted into the estimation model were building site area, building gross floor area, number of below ground floors, number of above ground floors, number of buildings, and location. The modified coefficient of determination (R_a²) of the model was 0.547. The developed model resulted in a Root Mean Square Error (RMSE) of 171.26 days and a Mean Absolute Percentage Error (MAPE) of 26.53%. The developed estimation model is expected to provide reliable construction duration calculations for small-scale urban residential buildings during the planning stage of a project.

• Korean Journal of Human Ecology
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• v.9 no.1
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• pp.21-32
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• 2000

This study investigated the effect of householder's occupation on the debt structures of households. Household debts were categorized into six types according to borrowing sources: debts from banks, other financial institutes, employers, private sources, Gye, and retailers. Householder's occupations were classified into four groups: full-time employees, employers, farmers & fishermen, and part-time employees. The data came from the 1996 Korean Household Panel Study. It was found that the rates of holding each types of debt and the debt amounts were different according to householder's occupation. The human and economic resources to overcome the possible household debt problems were also different by the householder's occupation.

• Journal of the Korean housing association
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• v.12 no.4
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• pp.93-104
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• 2001

This study has been performed to analyze size and deficit problem of residential space in later life. In this study, 216 Koreans aged 50 to 79 were surveyed for their current residential space ad family related items such as age, marital status, living arrangement, birth order, and housing status. The results are drawn as follows: 1. The space size significantly fluctuates by marital status, number of generations living together, tenure, and structure type; For example, use of indoor area per person ranges from 7.01 pyoung for three-generation households to 19.53 for one-generation households. 2. s for space deficit, very old widowed females, 60's living in rented or multi-family housing units, and those living in three generations are high risk groups of the space deficit below 7 young per person. In this study, further researches are recommended as follows; Regarding the highest risk group of space deficit, life styles causing space-related conflicts should be studied, and accordingly proper welfare services for the causal life styles be offered. Housing maintenance & utility costs be investigated and guidelines should be proposed for any surplus groups among the 60's, so that their space surplus can be reduced by suitable adjustment process.

• The Journal of Fisheries Business Administration
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• v.36 no.2 s.68
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• pp.25-52
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• 2005

Since late 1990's, the Fish Aquiculture Households belong Fishing Community have been faced very serious pressure of management. The surface factors of this situation have been understood to overproduction and too much imports from China, but basic factor was caused structural problem, that is considered small scale production system. Then, We should enlarge scale of the Fish Aquiculture Households belong Fishing Community to overcoming profitability aggravation. To the Enlargement of Scale, We should consider to change the regime of Fishing Community that means two practical programs. First, it need to enlarge the scale of Fishing Community than now, and Second, it need to incorporate the Fishing Community for exclusive Management of Fish Aquiculture Rights.

• Proceedings of the SAREK Conference
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• 2009.06a
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• pp.77-82
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• 2009

If we can supply accurate minute flow rate to the households, we can solve many problems that are occurring in consequences of uncontrolled flow rate for the households. Therefore, this paper presents an innovative solution to the source of the problems by illustrating how we can control the flow rate to the household. This paper proves such problems even can be solved in a case when there is a room turned off the heating.

• Agribusiness and Information Management
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• v.5 no.2
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• pp.1-5
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• 2013

Demographic transition drives changes in consumer demand for food products. This study examines how rising incomes and population trends affect spending on food purchased for home. The objective of this study is to characterize the relationships between selected socio-demographic factors and food selection among South Korean households. Panel data from Rural Development Administration (RDA) in South Korea in 2010 was used (n=971). Household food purchases were classified into one of the five food groups from Composition of Foods of RDA. Multiple regression analysis was used to analyze the effects of household size and income based on the expenditure share on each food group. All statistical analyses were performed using SAS/ PC version 9.3. Results show that household socio- demographic characteristics have a strong influence on food purchasing, with the purchase of vegetables and fruit, and processed food and pre-packaged being particularly sensitive.