• Human Ecology Research
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• v.56 no.6
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• pp.573-588
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• 2018

This study analyzed per capita consumption expenditure by the consumption quintile of Middle and Older Elderly Households and the variables that affected it. Sample of 2,983 households was collected from the 6th KLoSA in 2016. First, when comparing the HH's living expenses by the number of family members, two persons to a person ratio, more than six persons to a person ratio were 2.007 and 4.148, respectively. The ratio increased as the number of family member increased; however, the rate of ratio increase decreased. Second, the per capita living expenses for the first and fifth quintile were 5.11 million won and 16.93 million won at the per capita living expenses that applied the OECD's equivalence scale to the HH's living expenses. The per capita living expenses for the fifth quintile was 3.31 times higher than in the first quintile. Third, among the variables influencing per capita living expenses by the consumption quintile, the marital status was the significant for all consumption quintiles; however, HH's income, HH's total asset, HH's financial asset, pension, subjective perception of the economy class, home ownership, residence (metropolitan or small city), education (elementary school), participation groups were significant in some quintiles among all quintiles. Fourth, of the significant variables influencing per capita living expenses, the most influential variables were first quintile followed by second quintile, third quintile, fourth quintile, marital status, HH's income, home ownership, HH's total asset, participation groups, residence (metropolitan), subjective perception of the economy class, in order.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.10a
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• pp.104-106
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• 2022

Single-person households are steadily increasing every year, and unlike multi-person households, the incidence of depression is higher because they are mentally isolated. There are many causes of depression, including physical activity, family size, and stress. Less physical activity and more stress are associated with higher rates of depression. As the number of single-person households increased, and the COVID-19 outbreak in 2019 caused restrictions on physical activity due to the overlapping pandemic, the stress index increased, resulting in many depressed patients. Since many patients do not receive treatment even if they develop depression, we propose a depression management system to increase access to treatment for depression.

• Korea journal of population studies
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• v.9 no.2
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• pp.93-105
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• 1986

The historical study reveals that our ancestors had maintained a system which could produce data on the number of population and households as well as on their characteristics. For example, such data on age structure of the population, number of births, number of deaths by age & sex, number of in & out migrants were found in an historical document for the year 755. The main purposes of maintaining the system at that time were taxation and conscription. As the system evolves, another function of identifying the legal status of people was also added. Looking into the figures for those days reveals that ommission rates of the number of population and households were high. Thus, in an effort to obtain a reliable data, the annual population survey system was introduced as of 1 September 1896. This date is now cerebrated as the Statistics Day. Since then, the survey system has been diversified. At the present time, there are three major data sources which produce the statistics on population and households: Civil Registration System (vital statistics), Resident Registratiton System (migration statistics) and Population Census. However, these three systems are found to have some problems to produce the accurate data. There are some inherent problems in the registration systems such as problems in its coverage, accuracies in contents and timeliness in reporting the vital events and publishing the results. The population census has also non-sampling errors such as errors in coverage, response and non-response. Apart from the above mentioned problems, there are also conflicting problems arised from having different three data source. We can find some overlapping problems in laws and difficulties in comparative studies between regions. In the future, these problems should be taken into consideration for the improvement of the quality of statistics on population and households.

• Korea journal of population studies
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• v.20 no.1
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• pp.5-25
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• 1997

The historical study reveals that our ancestors had maintained a system which could produce data on the number of population and households as well as on their characteristics. For example, such data on age structure of the population, number of births, number of deaths by age & sex, number of in & out migrants were found in an historical document for the year 755. The main purposes of maintaining the system at that time were taxation and conscription. As the system evolves, another function of identifying the legal status of people was also added. Looking into the figures for those days reveals that ommission rates of the number of population and households were high. Thus, in an effort to obtain a reliable data, the annual population survey system was introduced as of 1 September 1896. This date is now cerebrated as the Statistics Day. Since then, the survey system has been diversified. At the present time, there are three major data sources which produce the statistics on population and households: Civil Registration System (vital statistics), Resident Registratiton System (migration statistics) and Population Census. However, these three systems are found to have some problems to produce the accurate data. There are some inherent problems in the registration systems such as problems in its coverage, accuracies in contents and timeliness in reporting the vital events and publishing the results. The population census has also non-sampling errors such as errors in coverage, response and non-response. Apart from the above mentioned problems, there are also conflicting problems arised from having different three data source. We can find some overlapping problems in laws and difficulties in comparative studies between regions. In the future, these problems should be taken into consideration for the improvement of the quality of statistics on population and households.

• Journal of the Korean Home Economics Association
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• v.34 no.5
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• pp.49-66
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• 1996

The purpose of this study is to identify how the households invest in their children as a human capital. In addition, contributing factors to households' human capital investment was examined. The results of this study are as follows; First, Average number of children 2 children of surveyed housewives, full time housewives had more time spent for children than working counterparts. The former spent 6.8 hours a day with the latter 4.98 hour a day while both of them shared the most time in nonphysical care of their children. meanwhile, money paid for children was that full time housewife family spent 1,014,000 and a working housewife family paid 974,000. Second, In the full time housewives, total amount of time housewives spend for their children was greatly influenced by the income, the age of the youngest child, and emotional value. The housewives' educational level, life cycle, and an income were a significant impact on money investment. Total investment was influenced by the housewives' educational level, life cycle, income, and the number of children.

• Journal of Industrial Convergence
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• v.21 no.9
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• pp.77-87
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• 2023

The purpose of this study was to examine the effect of social relations satisfaction of low-income middle-aged and elderly single-person households on individual subjective happiness and to verify the mediating effect of depression and gender control to provide basic data for the development of related policies and programs. The SPSS WIN 25.0 program used frequency analysis, technical statistics analysis, correlation analysis, and PROCESS MACRO Model Number 4 to verify the mediating effect of 482 middle-aged singleperson households extracted using the "17th Korea Welfare Panel in 2022" survey data. In addition, the control effect was verified using PROCESS MACRO Model Number 1. The results of the study first showed that social relationship satisfaction after controlling demographic characteristics had a positive effect on subjective happiness. Second, it was found that depression had a partial mediating effect in the relationship between social relationship satisfaction and subjective happiness. Third, it was found that the higher the satisfaction level of social relationships among women than men, the greater the sense of happiness. Through this study, it is meaningful in that it identified the meaning of social relationships of middle-aged and elderly single-person households and presented practical implications so that they can be used as basic data for policy support measures.

• The Journal of the Korea Contents Association
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• v.21 no.9
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• pp.696-703
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• 2021

The purpose of this study was to analyze determinant factors of the life satisfaction of adults with brain lesions disabilities so as to provide suggestion for improving the quality of life. I used the data on second wave 4th Panel Survey of Employment for the Disabled. The total number of respondents was 281, 54 respondents of one-person households and 227 respondents of multi-person households. The data was analyzed using SPSS Win 25.0 program and utilizing χ² test, ANOVA, logistic regression analysis. Results of study were : First, The one-person households group showed middle aged and the elderly, lower income, basis living security recipient, lower help for daily life, lower participation in social activities than multi-person group. Second, level of disability, health status, participation in social activities, experience of discrimination were found to have a significant effect on the life satisfaction of multi-person households. And gender, age, health status, employment, experience of discrimination were found to have a significant effect on the life satisfaction of one-person households. Base on the results of this study, suggested for improving the quality of life in adults with brain lesions disabilities by households type.

• Economic Analysis
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• v.25 no.2
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• pp.1-53
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• 2019

This paper examines monetary policy quantitatively in a two-agent and small-scale New-Keynesian economy with debt-constrained households that cannot smooth their consumption intertemporally and frictionlessly since highly indebted households are not allowed to borrow above a certain debt ceiling in incomplete financial markets without additional risk premiums due to information asymmetry between savers and borrowers. We find that, in the event of cost shocks, the asymmetric responses of borrowing households without, and saving households with, dividend incomes lead to different labor supplies and consumptions over heterogeneous households, and eventually to an extension of the monetary policy transmission channels. The income effect and low elasticity of the labor supply play key roles in such asymmetric responses over heterogeneous households. We also find that the social welfare in a flexible inflation targeting (FIT) monetary policy, in which both the inflation gap and the output gap are considered in an integrated manner when policy-making, is similar to that of the Ramsey optimal monetary policy (ROP), in which the shares of debt-constrained households, as well as all economic states, including both the inflation gap and output gap, are considered comprehensively for policy-making, and that it is greater than that of simple inflation targeting (SIT) monetary policy, in which only the inflation gap is considered mechanically for policy-making. Such social welfare implies that a FIT policy may still work even in an economy with a sizable number of debt-constrained households. Further, the responses of cost shocks to consumption and labor supply are dying out more slowly under FIT and ROP policies than under an SIT policy.

• KIEAE Journal
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• v.13 no.6
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• pp.55-65
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• 2013

Korean Government has developed Sejong City as a new administration city. This city of future was planned and designed toward one of the most eco-friendly city on the basis of ICTs. To attain this object, a carbon emission monitoring system (CEMS) was designed and installed as a part of u-city service which provides various information anytime and anywhere to enrich the people's quality of life. In this paper, at first, the structure and functions of CEMS are introduced. This system is consist of 5 parts - data collection from user and linked public DBs, transforming data into meaningful information for the policy makers, system-user interfacing via statistical tables and graphs, and system maintenance. This system can be operated by the citizen participation through whole the process. With the help of GIS map and graphic interface, statistics of monitored data for both citizen and decision maker provided and after feed-back, they have affected on the behaviour of citizen's energy consumption and related policy as well. By the CEMS, energy consumption data of 124 agreed households were collected during 9 months in 2012. Electricity, gas and water consumption were remote-metered automatically by the system and analysed. This showed that more than 85% of CO2 emission is rely on electricity usage. Furthermore, number of family members and size of house influences on the emission of CO2 by each household together with the life-style of the occupants. Electricity and water consumption showed the seasonal factor while gas consumption represents the number of family members. Even this paper has limitations caused by 9 months of data collection, it shows the policy directions to reduce the emission of CO2 focusing on the house size and number of family members of each households. With the result of this research, life-style of the generation of dwellers should be investigated and the CO2 emission characteristics of other housing type as well for the data building for future policy making.

• Human Ecology Research
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• v.57 no.1
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• pp.51-71
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• 2019

This study analyzed the poverty rate by poverty dimension, correlation between multidimensional poverty, variables that affected the number of poverty dimension and the probability of the poor or not. The sample consisted of 6,361 elderly households (1,561 baby boom birth cohort, 1,793 post-liberation birth cohort, 3,007 Japanese colonial period birth cohort) taken from the $12^{th}$ Korean Welfare Panel Study. First, the highest poverty rate among the baby boom birth cohort was 62.8% of employment poverty. The highest rate among the post-liberation birth cohort and Japanese colonial period birth cohort, was 82.5%, 92.3% of health poverty, respectively. Second, the highest coefficient in the baby boom birth cohort was .354 for asset poverty and relation poverty. In the remaining two cohorts, the coefficient for asset poverty and relation poverty was the highest at .268, .284, respectively. Third, the average number of poverty dimensions was 2.318 of the baby boom birth cohort, 2.921 of the post-liberation birth cohort, 3.564 of the poverty in the Japanese colonial period birth cohort. Also, the poverty rate for each cohort was 20.179%, 28.779%, and 50.083%, respectively. Fourth, the significant variables in all cohorts were gender, education, marital status, residence, and equalized ordinary income for the multiple regression analysis on the number of poverty dimensions. Additionally, age of the post-liberation birth cohort was significant, age and family numbers of the Japanese colonial period birth cohort were significant. Significant variables in logistic analysis on the probability of poverty or not were the same as those of regression analysis.