• Korean Journal of Construction Engineering and Management
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• v.19 no.2
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• pp.96-106
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• 2018

The government adopted activation policy of real estate to overcome low economic growth rate. Real estate activation plan adopted by the government raised credit limit by lowering the regulation, and reduced real estate investment cost by reducing the base rate. Also, delayed transfer tax on multi-house owner to activate real estate investment and resolved purchase right resale. Relief of real estate regulate caused increase of housing sales and price increase, and the real estate market changed to overheating aspect such as premium upon completion of lot sale in a short time. Such market atmosphere greatly increased household debs as owners own houses based on 'financial debt' instead of their income. Since 2017, real estate policy was reinforced to reduce household debts and lending rate was raised due to rise of base rate, accordingly, burden of household debt is expected to increase. This research suggested a plan for the Financial Supervisory Service to efficiently manage the financial world by analyzing the cause and problem of household debs.

• Journal of the Korean Home Economics Association
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• v.48 no.3
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• pp.71-86
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• 2010

The purpose of this study was to find the characteristics of university education expenditure and how university education expenditure affected household finance such as total household expenditure after excluding education expenditure, savings, and debts respectively. The data were drawn from the 8th Korean Labor & Income Panel Study conducted by the Korean Labor Institute, and 563 households with children attending university were selected. The t-test, F-test (Duncan's multiple range test as post hoc test), OLS, and Heckman's two-step estimation were utilized by SAS 9.1 and SPSS 12.0 for Windows. The results were as follows: First, average annual tuition was found to be 6,170,000won(21.5% of total annual household expenditures) and average annual private education expenses were 4,920,000won(15.9% of total annual household expenditures). Second, the higher the household income levels, the more spent on university education, whereas the higher the household income level, the lower the household expenditure-to-university education ratio. Third, tuition and private education expenses had a negative impact on household expenditures after excluding education expenditure.

• Journal of Families and Better Life
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• v.22 no.6 s.72
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• pp.165-175
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• 2004

The purpose of this study was to classify the household financial strategies and investigate major determinants of the household financial strategies and financial performance. The data of 3,994 households is from the Korean Labor and Income Panel Stud?. The major findings were as follows. (1) The classified household financial strategies types were Residual ($44.6\%$), Informal Institutional ($13.3\%$), Financial Assets ($16.7\%$), Real Estate ($13.4\%$), and Diversified Portfolio ($12.0\%$). (2) The criteria of classification of the household financial strategies were relative, not absolute. (3) The household financial strategy types changed largely during a short period(1999-2000). (4) In all households, the variables that affected changes in household financial strategies were education, occupation, number of children, residential location and home ownership. (5) Households that employed a diversified portfolio strategy had the greatest financial performance (2,316,000 won net gain). (6) In all households, the variables that had the greatest influence on financial performance were the number of children, assets and debts. 1'he financial performance was significantly different according to changes in the household financial strategy.

• Korean Journal of Human Ecology
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• v.21 no.2
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• pp.225-240
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• 2012

The purpose of this study was to investigate the determinants of households with risky debt loads. The study used financial ratios to determine which households were over-indebted. The 3 ratios used were Debt to Asset ratio, Debt to Financial asset ratio, and Debt Service ratio. Data for this study was the 2011 Survey of Household Finance. Households that demonstrated total debts of 70% or more when compared to total assets were 8.8%. Households that demonstrated a debt load totaling 5 or more times their total financial assets were 19%. Households with monthly repayment obligations of 40% or more of disposable income were 20%. Households that fulfilled all 3 financial ratio criteria were 1.5% of total indebted households. Over-indebted households demonstrated severe economic condition in terms of debt, but not all over-indebted households were categorized as being in economically vulnerable group. The major determinants of households with risky debts were income, asset, purpose of loans, and spending behavior of the households.

• 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.

• Journal of Families and Better Life
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• v.20 no.6
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• pp.81-93
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• 2002

The purpose of this study is to analyze the effects of household income drops on household economic status during economic crisis periods. Using the data taken from Korean Household Panel Study for 1996 and 1998, it was investigated how household income change affected household income, expenditure, and assets/debt. The economic status change of the income-decreased group was compared with that of the income-increased group. The major findings were as follows: Average income of the total sample was 1,905 thousand won in 1996, while 1,419 thousand won in 1998. The household of which income was decreased during the period was 65.1% of total sample. Average income of the group was reduced from 2,263 thousand won to 1,239 thousand won. Among income sources, the amount of income from real asset was found to be the highest decreasing rate, and the amounts of both business and employed-work income were reduced almost up to an half of those in two years ago. The amounts for all expenditure categories were also decreased with decreasing household income. Especially the expenditures for food away from home, leisure, durable, recreation, and vehicle-related expense were found to have the highest income elasticity. The households with decreased income were found to reduce household expenditures by 377 thousand won per month, which was 70.9% of that in 1996. Decreases in household income resulted in decreases in net wealth by 10,170 thousand won. With decreases in household income, the amounts of total insurance and private savings such as gye were decreased, and so were the amounts of real assets and monetary assets.

• Journal of Families and Better Life
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• v.24 no.1 s.79
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• pp.253-269
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• 2006

This study examined the economic structure of male one-person households, and investigated how it differed by male's age and marital status. Specifically household incomes, expenditure patterns, assets, debts, and other demographic variables were compared by age and marital status. From the 2000 National Survey of Household Income and Expenditure conducted by Korea National Statistical Office(KNSO), 1,389 male one-person households were selected. The findings of this study were as follows: First, the economic status of male one-person households was unstable. They were more likely to depend on labor incomes and transfer incomes, and had less property incomes and total assets. Their average propensity to consumption was higher than that of general households. Second, the economic structure of male one-person households showed large differ+useholders in age 50s allocated $48\%$ of household expenditure to the non- consumption categories, especially child or (ex)spouse support payments. The economic status of householders in age 60s and over was inferior to those of the other groups. Third, there were considerable differences in the economic status of male householders who had different marital status. Divorced and separated males had higher incomes and expenditures, but assigned large portion of their incomes to the non-consumption categories. Widowers' level of economic living, such as incomes, expenditures, and assets, was the worst among male one-person households.

• Korean Journal of Social Welfare Studies
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• v.48 no.1
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• pp.23-53
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• 2017

This study aims to examine how newly married couple's financial position influence the decision of divorce by using data from the Korea Labor and Income Panel Study (KLIPS). In particular, we closely examine the period between marriage and divorce for the households married since 2000. As a measure of household financial position, we focus on hosing debts because it can be considered as one of the most important factors for newly married couples. The key findings are as follows. First of all, age for marriage, age gaps between husband and wife and education level have a vital influence on the decision of divorce. In addition, in general, the household debts have decisive and negative effects on the future divorce decision. Especially, not only high absolute amount of debt but also high relative debt to household total income bring about a decision of divorce. The findings of this study suggest that systematic debt relief policies for newly married couples would be needed to build healthy family.

• Journal of the Korean Home Economics Association
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• v.35 no.2
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• pp.95-110
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• 1997

The purpose of this study were 1) to identity housing fund by the type of housing mobility and 2) to analyze the variable contributing to housing fund by the type of housing mobility. For these purposes, the 1993 KHPSD data was used and the sample in this study consisted of 2,796 couple households. Statistics employed for the analysis were frequencies, means, univariate analysis and multiple regression analysis. As the results, the composition and the amount of housing fund according to the type of housing mobility, were different respectively. Housing fund was consisted of previous housing sales price, savings deposits, loans, inheritance, subsidy, and personal debts. Households who already own houses used housing finance for their housing fund easily while renters were at a disadvantage to use housing finance. Moreover, among the contributing factors, home ownership, number of family member, residence, average monthly income, average monthly expenditure, husband's education attainment, satisfaction with housing, husband's job, and the type fo housing were positively associated with the amounts of housing funds. However, duration fo residence tended to negatively related to the amounts of housing funds.

• KDI Journal of Economic Policy
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• v.46 no.1
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• pp.1-19
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• 2024

This paper evaluates explanations for China's growth slowdown. The natural tendency for rapidly growing economies to slow down is a major factor, along with problems bequeathed by unbalanced growth, including a declining ICOR, slowing total factor productivity growth, and rising indebtedness. A number of other mechanisms are of lesser importance: demographics, President Xi's centralization of political power and anti-corruption campaign, and U.S. export controls. Sustaining growth in the longer term will require China to step away from investment, debt and export-fueled growth in favor of a balanced growth model with household consumption playing a larger role. Doing so will require hardening of the budget constraints of regional and local governments and restructuring of the nonperforming debts of property and construction companies.