• Korean Journal of Environmental Agriculture
• /
• v.17 no.3
• /
• pp.234-238
• /
• 1998

Anaerobic degradation characteristics of dewatered liquid of household food waste including methane conversion efficiency and degradation kinetics were studied in an anaerobic batch reactor of 5 L volume. The ultimate methane production for dewatered liquid of household food waste tested was over 0.31L $CH_4/L{\cdot}dewatered$ liquid of household food waste. The kinetic constant of dewatered liquid of household food waste tested was $0.223d^{-1}/L$. The kinetic behavior of anaerobic degradation was described as a first order series reaction. The determinant of rate-limiting step(DR) that is balanced out from the rates of reaction steps was defined by the logarithmic difference of the maximum acidification rate and the maximum methanation rate. Anaerobic degradation characteristics of organic materials were evaluated by the value of DR. The DR of dewatered liquid of household food waste tested was 1.17.

• Journal of the Korean Home Economics Association
• /
• v.34 no.2
• /
• pp.201-215
• /
• 1996

The purpose of the study was to examine the effects of household characteristics to family savings. Family savings were defined in four ways such as monthly savings, average propensity to save, financial assets, and net financial assets. The household characteristics dealt with were family income, household size, number of earners, age, occupation, education, housing tenure, and urbanization. The data used in the study was Survey of Family Finance 1990. The main statistical method was multiple regression. Family income was found to the most important variable to determine four family saving variables holding other characteristics constant. Also, household size had significant negative effects on family savings. Two-earner households were found to have higher average propensity to save and less financial assets compared to single-earner households. Fro monthly savings and average propensity to save, the households with forties andfifties household head tended to be less than others, while financial assets tended to increase with the age of household head. Compared to salary earner households, blue-colored households had significantly lower average propensity to save, and the households with professionals had significantly higher financial assets. The college-graduated households tended to have less monthly savings than the elementary-graduated households. Also, the housing renters were found to have more monthly savings and higher average propensity to save, compared to the housing owners.

• Journal of Families and Better Life
• /
• v.22 no.2
• /
• pp.85-95
• /
• 2004

The purpose of this study was to classify the household financial strategies and find out variables affecting the type of the household financial strategies. The data of 3994 households from Korean Labor and Income Panel Study(1999-2000) were used. The major findings were as follows: (1) the household financial strategies were Residual Saver Type(44.6%), Unformal Institute Saver Type(13.3%), Financial asset Saver Type(16.7%), Real estate Saver Type(13.4%) and Diversities(12.0%). (2) The household financial strategy types were changed rapidly during short term. (3) In 3994 households, the variables which influence on the change of the household financial strategies were education, job, numbers of children, place of residence, home ownership. Similarly, in each type, the change of household financial strategies was significantly different according to the household characteristics variables.

• Asia-Pacific Journal of Business
• /
• v.11 no.4
• /
• pp.291-301
• /
• 2020

Purpose - The purpose of this study was to investigate several household characteristics related to panel attrition, examining how they may have conditioned the panel data in the Korea Welfare Panel Study (KOWEPS). Design/methodology/approach - We studied the cause of the differences in household income between the original panel and the new panel in KOWEPS. Findings - To summarize our findings, whereas it is highly likely that a low-income household or a household without health insurance will remain in the panel, it is highly likely that a high-income household or a household of more than three members will be taken off the panel. Research implications or Originality - The proportion of low-income household tends to decrease over the years, which appears to result from an overall increase in household income. Such changes are reflected in the pattern in which older panels have higher estimates of household income than newer panels.

• Journal of the Korean Home Economics Association
• /
• v.36 no.9
• /
• pp.35-47
• /
• 1998

The purpose of this study was to investigate the effect of household characteristics on household expenditures on wedding, funeral, ancestor worship, and 60th birthday anniversary. Data for this study were from the 1996 Annual Report on the Family Income and Expenditure Survey. OLS regression analysis was used to identify the effect of household characteristics on money spent on family ceremony expenditures. The household income, age of head, education of head, and family size were all significant factors for understanding family ceremony expenditures. The results also indicated that additional income from wife's labor force participation was associated with lesser expenditures on family ceremony, while business income, asset income, and transfer income had no effects on this category. The effect of the third quarter of 1996 was significant on family ceremony expenditures, indication that households spent significantly less for this category in the summer than did in the winter, holding other factors constant.

• Journal of Families and Better Life
• /
• v.21 no.6
• /
• pp.43-51
• /
• 2003

The purpose of this research was to investigate the perception of financial risks and expenditures for insurance by household characteristics. Data were collected from 598 housewives by online survey on Dec., 2001. Results indicated that respondents had perceived the risk of unemployment most among three types of risks. Household characteristics reflecting financial needs in emergency case had positive effects on the perception of risks, and hence the expenditures for insurance, in general. On the other hand, the level of emergency preparation had negative effects on the perception of risks and the expenditures for insurance. However, only credit-related risk had a positive relationship with the expenditures for insurance.

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

• The Transactions of the Korean Institute of Electrical Engineers C
• /
• v.53 no.3
• /
• pp.149-156
• /
• 2004

This paper deals with the effective protection method for the household electric appliances against lightning surges invading from the Power lines. Direct or induced lightning is the main cause of the breakdown of household electric appliance. The most effective protection method is to install SPDs(surge protective devices) at household electric appliances. If SPDs were not installed at most household electric appliances, it is necessary to install SPDs on the mains. Therefore the propagation aspect and protection methods of lighting surges coming into household electric appliances through the mains was experimentally investigated. The in actual-sized test circuits results of protection method for 8 household electric appliances including computer monitors and TV set could be summarized as follows: The breakdown characteristics of household electric appliances from lightning surges were significantly changed with the their input impedance. Namely, the types of input impedance are classified into infinite, resistive or inductive impedances. Especially, the monitor for computer with inductive input impedance from lightning surges was relatively weak against lightning surges. It was confirmed that the self inductance of branch circuits on the mains have protection effect for household electric appliances against lightning surges invading from the power lines. Also the varistors installed at cabinet panel or circuit-breaker were more effective than multi-tap outlet with varistors. When installed varistors in cabinet panel and multi-tap outlet together, the surge protection effect is much more excellent in technical and economical aspects.

• The Journal of Industrial Distribution & Business
• /
• v.12 no.2
• /
• pp.41-52
• /
• 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 Families and Better Life
• /
• v.14 no.2
• /
• pp.61-76
• /
• 1996

In this study it was assumed that planning was composed of three activities -resource assessment standard setting information seeking and implementing was composed of money investment and time investment, Two variable groups which were assumed to be related with planning and implementing were household characteristics and housewife's value characteristics. Money investment to children's education was significantly affected by income, net wealth of household instrumental value of eduation and information seeking about private education. The variables assumed to affect time investment to children's education were instrumental value of education information seeking about private education and expected education level.