• Korean Journal of Social Welfare Studies
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• v.40 no.3
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• pp.149-179
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• 2009

Purpose of this study is to know what is the factors affecting in working poor household's residential ascend mobility. As a result, Working poor household residential ascend mobility is affecting from age, education, work ability, household type, child, asset, public assistance, region, house position, minimum housing facilities, housing environment, education facilities, lastingness rental apartment, nation rental apartment, the lease of a house on a deposit basis, monthly rent, loaning delay times, debt. Main implication is as following Analysis. First, When housing policies establish, Working poor household's characteristics and individual characteristics should be considered enough by welfare policies aspect. For this, Rent assistance system have to be enforced for working poor household's house loan. Second, Working poor household's guarantee of financial Accessibility for house loan. Finally, Working poor household's residential problem may be solved though efforts that can heighten enough public information and the utilization rate about various in government's house policies.

• The Journal of the Convergence on Culture Technology
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• v.6 no.4
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• pp.379-384
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• 2020

The purpose of this study is to analyze the impact of individual savings banks' financial conditions on their loan portfolio after savings bank restructuring. The analysis results are as follows. First, it was estimated that the relationship between the rate of change in the NPL Ratio and the ratio of household loans has a significant positive value. Second, it was estimated that the interaction effect between the rate of change in the ratio of fixed and below loans and the spread of the deposit-to-deposit rate has a significant negative (-) value with the household loan weight. Third, the relationship between the asset size and the proportion of household loans was estimated to have a significant positive (+) value. In other words, it was analyzed that the financial situation of the savings bank affects the loan portfolio, and it should provide important implications for establishing policies for each financial situation of the savings bank. Depending on the financial situation in the future, there is a need to avoid excessive asset expansion of specific loans and preemptive soundness management.

• The Journal of the Convergence on Culture Technology
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• v.7 no.4
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• pp.1-7
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• 2021

The purpose of this study was to analyze the effect of household loan share on bank management soundness. The results of the empirical analysis are summarized as follows. First, as a result of estimating coefficient of the mortgage loan ratio shows a significant negative relationship with the BIS equity capital ratio of banks. In addition, it was found that the mortgage loan ratio had a significant positive (+) effect on Eunhae's BIS and equity capital ratio after the financial crisis. Second, as a result of the estimation coefficient of the mortgage ratio showed a significant positive (+) relationship with the NPL of the bank and below. In addition, it is estimated that the bank's secured loan ratio changed significantly before and after the financial crisis in the effect of banks' NPL and substandard-and-below loans. It is expected to make implication to financial policy and banking regulation and supervision. We believe that more efforts should be made to increase the soundness of household loans in preparation for risk factors that may arise from exogenous factors such as changes in the international financial environment and falling property prices.

• Land and Housing Review
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• v.5 no.4
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• pp.259-269
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• 2014

After global financial crisis, the ratio of household debt to GDP was decreasing in other advanced countries such as the U.S., and the U.K. and so on. But, in Korea, household debt (of which residential mortgage loan account for a large part) ratio is still increasing. This paper focuses on the scale and characteristics of households in negative housing equity (those are called House-poors in Korea), and also the socio-economic backgrounds of the formation process. In financial perspective, the problem of negative housing equity depends on financial debt repayment capability. We used DSR (Debt Service Ratio) and LTA (Loan to Asset ratio) as financial indicators to evaluate the debt repayment capability. The critical value of DSR is assumed as 40%, and LTA 100%. The socio-economic backgrounds of the House-poors are as follows : increasing households debt dependency, over lending competition of financial institutions and unreasonable loan in household economy, instability of real estate market, week regulation on mortgage loan. Finally, this paper suggests some implications about the range and the target of public intervention.

• 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 Data and Information Science Society
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• v.26 no.6
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• pp.1417-1426
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• 2015

We develop the high risk group predictive model for loan default by utilizing the direct loan data from 2012 to 2014 of the Korea Student Aid Foundation. We perform the decision tree analysis using the data mining methodology and use SAS Enterprise Miner 13.2. As a result of this model, subject types were classified into 25 types. This study shows that the major influencing factors for the loan default are household income, national grant, age, overdue record, level of schooling, field of study, monthly repayment. The high risk group predictive model in this study will be the basis for segmented management service for preventing loan default.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.5
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• pp.1147-1154
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• 2021

The study aimed to investigate the impact of the microfinance program on loan borrowers' asset accumulation. In doing this, the study used descriptive and statistical methods to achieve the objectives. Primary data were collected from 192 respondents from Bangladesh using survey questionnaires. The data were analyzed using the multiple linear regression model. The result revealed that the majority of the borrowers said their assets such as farm, land, and livestock remained the same, which implies that microfinance borrowers still lag behind accumulating household assets. However, in the case of housing conditions and household appliances, there was a marginal increase. The regression result provides evidence that, among other factors, the amount of loan received from microfinance institutions and time duration with them is the most significant role-playing factor for borrower's sustainable well-being. The age and education level of borrowers are identified as positively related to asset accumulations, but not substantially so. Moreover, training provided by microfinance institutions is not effective and influential for microfinance borrowers' wealth accumulation, which is evidenced by the findings. This study's insights are worthwhile for any microfinance institution's decision-makers, development partners, and government to stress the shortcomings and accelerate the borrower's wealth status.

• Korean Journal of Rural Living Science
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• v.10 no.2
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• pp.1-14
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• 1999

The purposes of this study are to identify the factors affecting asset and debt choice behavior of rural households as well as to examine the differences in asset and debt choice behavior between rural and urban households. The data are taken from Korean Household Panel Study conducted in 1996 by Daewoo Economic Research Institute. Among 2,833, a final sample of 2,625 -537 rural and 2,088 urban sample- is used in this study. The results show that, the asset and debt choice behavior of rural households is totally different from that of urban households. The ratio of rural households holding all types of financial assets and sales credit is less than that of urban households while the ratio of holding real asset and loan is greater in rural than urban households. The most influential variable on the ownership of asset and debt is the age of household head. And there exist interrelationships between ownership of different assets and debts.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.2
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• pp.643-655
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• 2021

This study investigated the effect of the Amanah Ikhtiar Malaysia (AIM) microfinancing on the economic, social, and household empowerment of women borrowers in Malaysia. The study used a quantitative approach based on primary data. For this study, the participants comprised 384 AIM borrowers from Terengganu, Kelantan, and Pahang in the east coast region of Malaysia. Purposive stratified random sampling was used as well as the Krejcie and Morgan method to count the number of samples. Descriptive statistics and the Women Empowerment Index (WEI) were used in the analysis. The study findings reveal that AIM microfinancing affects the economic, social, and household empowerment of women borrowers in Malaysia. However, in comparing the three categories, women enjoyed more freedom in social and household decision-making than in economic decision-making. The present study recommends policies for the successful and effective operation of microfinance programs by providing the necessary guidelines for the control of AIM loan for women borrowers; increasing income-generating activities, sufficient access of credit, and proper education for the borrowers; and giving economic freedom of choice with necessary skill training policymaking options for the government and NGOs with the aim to improve the total household income and empowerment of the microcredit borrowers in Malaysia.

• East Asian Journal of Business Economics (EAJBE)
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• v.8 no.1
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• pp.57-69
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• 2020

Purpose - This study examines what are the asset market fluctuations in Europe and how each economic variable affects major variables, and explore the dynamics of housing and stock market through Greece. The variables under consideration are balance on current account (BCA), index of stock (STOCK), gross domestic product (GDP), housing price indices (HOUSING), M3, real rate of interest (IR_REAL) and household credits (LOAN). We investigate the functional and causal relationships between housing and stock market. Research design, data, and methodology - Vector error correction model (VECM) is used to figure out the dynamic relationships among variables. This study also contains the augmented Dickey-Fuller unit root, cointegration, Granger causality test, and impulse response function and variance decomposition analysis by EViews 11.0. Results - The statistical tests show that all variables under consideration have one unit root and there is a longterm equilibrium relationship among variables for Greece. GDP, IR_REAL, M3, STOCK and LOAN can be considered as causal factors to affect real estate market, while GDP, LOAN, M3, BCA and HOUSING can bring direct effects to stock market in Greece. Conclusions - It can be judged that the policy that affects the lending policy of financial institutions may be more effective than the indirect variable such as monetary interest rate.