• Korean Journal of Human Ecology
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• v.11 no.1
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• pp.31-43
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• 2002

The purpose of this study was to examine the financial status of the small business households, and to analyze their investment behaviors according to socio-economic variables like age, income, education, job satisfaction, and region. The size of total sample was 2167 with basis of data analysis of Korean Household Panel Study from Daewoo Economic Research Center. Descriptive Statistics were used to analyze their financial status according to the socio-economic variables. The results showed that small business family's financial status was differentiated according to age, income, job satisfaction, and region. Households' investment on the primary financial institute such as bank was differentiated by income, level of education, and job satisfaction. The amount of investment on secondary financial institute such as mutual fund was differentiated by income, age, and region. The households' investment for insurance was affected by all socio-economic variables except region and not significantly different according to socio-economic variables for stock and bonds. The amount of net-asset for households was affected by the level of education, age, and income and the amount of debt most by age and income. The results of this study was useful to develop the estimation tool for the small business households credit and also provides the basic informations for the financial assistance of those households.

• Journal of Family Resource Management and Policy Review
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• v.17 no.1
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• pp.199-219
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• 2013

The purpose of the study was to investigate the effects of money transfer between generations on preparation behaviors for retirement, separated into assets and saving for retirement. The survey was conducted by targeting 422 married people across the nation. The factor of money transfer between generations was defined as the inheritance and gift variable. The data were analyzed using SPSS 20. Correlation, analysis of variance (ANOVA), and multiple regressions were utilized. The results indicated that preparation behaviors for retirement are affected by the economic independence of parents, inheritance, expenses for children's education, and marriage. Retirement assets were significantly affected by inheritance, the economic independence of parents, educational expenses for children, financial assets, and amount of debt, while the significant factors related to retirement savings were interests on retirement, income, wedding expenses for children, economic independence of parents, and educational expenses for children. It was concluded that the financial preparation for retirement ought to be expanded from one household's finances to finances between generations.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.8
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• pp.433-442
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• 2021

This research examines the financial performance of Village and Urban Community Funds (VFs). The study also explores the beneficial effects of the biggest microfinance programs in the world in the lower and lowest income provinces; specifically, whether VFs change household economic status or not. The data is collected uniquely from the village funds in four provinces of each region in Thailand which considerably reflect the government achievement. Accordingly, several financial ratios have been applied to evaluate the financial efficiency of the village funds, and the ordered logit model has been used to estimate the impact on economic variables of the poor. The findings show that the village funds do not improve the savings, income, consumption, and asset of VFs' members, although such funds have a higher financial performance. Furthermore, the VFs are a good substitute compared to the Bank for Agriculture and Agricultural Cooperatives (BAAC) credit because the cross-price elasticity of quantity of demand for such loans is positive. In particular, the loans from village funds are insignificantly correlated with the debt, income, asset, and economic status of VF members. This implies that Thai Village Funds do not alleviate definitely the serious problem about the financial situation in rural provinces. Thus, this microfinance does not change the economic well-being of the poor.

• International journal of advanced smart convergence
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• v.12 no.3
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• pp.163-167
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• 2023

The restaurant industry is an industry with low entry barriers, and furthermore, it is an indispensable industry in life. However, for the restaurant industry, it is necessary to start a business considering many factors. In particular, the comparative group for each restaurant industry is different, and the commercial area analysis should be analyzed differently. Moreover, counseling for restaurant start-ups is still sticking to how to start a restaurant by meeting with each franchise supervisor or counselor. Therefore, a restaurant start-up chatbot is needed for prospective restaurant founders, and a food tech chatbot is needed to collect basic data. Therefore, in this study, factors for restaurant start-ups were divided into youth, preliminary start-ups, menus, taste, and food. In the case of restaurant start-ups with low entry barriers, it was confirmed as the most preferred start-up by young people. However, indiscriminate restaurant start-ups not only increase the closing rate but also have a significant impact on household debt, so accurate consulting should be used to lower the closing rate and increase the success rate. Furthermore, theories and measures for food technologies such as chatbots should be further developed to obtain accurate information on franchise start-ups.

• Journal of Family Resource Management and Policy Review
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• v.25 no.3
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• pp.1-15
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• 2021

This study explored how the family resilience of participants in self-sufficiency programs relates to their willingness to be self-sufficient and analyzed the mediating effects of family support in the relationship. The subjects of the study were 283 people in their 20s to 70s who are participating in a local self-sufficiency center in Gangwon-do. Statistical analyses were conducted using IBM SPSS 18, with descriptive statistics, difference verification and regression, and mediating effects analyzed following Baron & Kenny(1986). The results of the analysis are as follows. First, we conducted difference verification between the sociodemographic characteristics of participants in the self-sufficiency program and major variables. There was a significant difference in the willingness to be self-sufficient in terms of the caregiving family and household income. Family resilience differed significantly depending on age group, marital status, health condition, household type, caregiving family, and homeownership, while family support differed significantly in age group, marital status, health condition, household type, caregiving family, and debt. Second, we conducted a hierarchical regression analysis to determine the factors influencing the will of self-sufficiency of those participating in the self-sufficiency program and found that the better the health condition, the presence of caregiving families, and the higher the level of family resilience and family support, the higher the level of will to be self-sufficient. Third, analyses of the mediating effect following Baron & Kenny(1986) have shown that family support has a full mediating effect on the relationship between family resilience and the will to be self-sufficient. Thus, we have verified that family resilience and family support are important factors as an alternative to improving the level of willingness for self-sufficiency program participants.

• Journal of the Korean Data and Information Science Society
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• v.27 no.5
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• pp.1293-1305
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• 2016

In this paper, we develop debt collection predictive models for the person in arrears by utilizing the direct loan data of the Korea Student Aid Foundation. We suggest credit risk scorecards for overdue student direct loan using the developed 3 models. Model 1 is designed for 1 month overdue, Model 2 is designed for 2 months overdue, and Model 3 is designed for overdue over 2 months. Model 1 shows that the major influencing factors for the delinquency are overdue account, due data for payment, balance, household income. Model 2 shows that the major influencing factors for delinquency loan are days in arrears, balance, due date for payment, arrears. Model 3 shows that the major influencing factors for delinquency are the number of overdue in recent 3 months, due data for payment, overdue account, arrears. The debt collection predictive models and credit risk scorecards in this study will be the basis for segmented management service and the call & collection strategies for preventing delinquency.

• 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.66 no.3
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• pp.231-251
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• 2014

Recently, Korean government documented the plan to cope with the situation related to rich pensioners of Basic old-age pension. The purpose of this paper is to verify that how many rich pensioners are existing and to evaluate government reform plan's validity and effect. Main results are as follows; firstly, if the definition of rich pensioners is on the top 10%, the proportion of them would form 2.9% of total. And then, an amount of expenditure for them is only 2.6% of total. Secondly, in terms of disposable income, debt, and transfer income from child, the household who would be applied by government's plan is not richer than other household who is in the same living standard. And then, if the government's plan enforced, the effect might be very small. Lastly, the plan of government will discriminate against persons who support their parent. As a result, Basic old-age pension will be worsen. This paper should underline that the government's reform is only the 'hidden' retrenchment strategy in order to introduce a standard of the obligation to support own parent in the state without scientific prediction and serious discussion of negative public opinion. That is why, this is the same as the 'Trojan Horse'.

• Journal of Families and Better Life
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• v.24 no.5 s.83
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• pp.251-270
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• 2006

This study examined how the households used and combined financing sources to pay for college education. It compared the probability of using each source (current incomes, saving, education loans and grants) by households' socio-economic characteristics and analyzed which factors influence the decision to use each source and the amounts from each source for financing college education. Data for this study were from a questionnaire completed by 4-year college students (n=623) and were analyzed by t-tests, ANOVA and Heckman's two-step estimation models. The findings of this study were as follows: First, the most frequent source for college education was parents' savings and the second one was parents' incomes. Also, the most frequent combination of sources was saving and current incomes and the second was combination of three sources, saving, incomes and education loans. Second, the probability of using incomes was higher for younger students than for older students. The number of siblings showed significant differences among income, savings and education loans. Those who had higher incomes were more likely to use current incomes, saving, but less likely to borrow for financing college education. Middle-class income groups were more likely to borrow for education. Third, household incomes and asset holdings had generally positive impacts on the probability of using incomes and savings for college education, while total debt burden decreased both the probability and amounts of income and saving sources. The college costs had significantly positive effects on both the probability and the amounts of all of financing sources. Total grants received significantly decreased the amounts from incomes, savings and borrowing sources.

• International Journal of Human Ecology
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• v.7 no.2
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• pp.53-62
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• 2006

The purpose of this study is to examine the changes in financial structure of the self-employed brought on the economic crisis in Korea.. We use financial ratio analysis, such as income to expenditure ratio, liquidity ratio, debt ratio, and capital accumulation ratio to analyze financial well-being of self-employed households. This study used a 1997 and 1998 Korean Household Panel Study collected by Daewoo Economic Research Institute. The average amount of holding of each type of asset showed that the investment of self-employed households decreased in the banking industry and the stock market in 1998 compared to 1997. On the other hand, asset allocation in bond and real estate increased, which implied preference for a stable type of asset with the increase in uncertainty of the future and economic instability. Devaluation of real estate allowed households to easily obtain real estate and increase preference for asset allocation in real estate after the crisis. The changes in financial ratio for the year 1998 shows that such ratios as income to expenditure, liquidity, and capital accumulation, decreased compared to the year 1997. Among those ratios, the income to expenditure ratio showed the biggest decline because of reduced income of self employed households. The results implied that the income structure of the self-employed is unstable, thus the self-employed were likely to be greatly affected during the economic downturn. Earners have more average income and net assets than the self-employed. However, using financial ratios, it was found that self-employed households were more stable than employees. The results shows that the financial ratio analysis is better tool to estimate households financial status. Implications for financial educators, counselors, and planners are offered. The results will provide implications for policy makers to establish appropriate policies for the self-employed and help them financially survive.