• Journal of Convergence for Information Technology
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• v.11 no.11
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• pp.327-334
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• 2021

In this study, using the raw data of the 7th Food Consumption Behavior Survey(2019), compare and analyze what factors affect the food delivery service and take-out food expenditure of single-person and multi-person households. It was found that women(especially women in single-person households), have a high tendency to pursue safety preference versus price. In the future, Korea's population structure is expected to steadily increase single-person household and elderly households, and women's participation in economic activities is expected to continue to increase. In addition, the food delivery market has more than doubled compared to the previous year in 12 cities and provinces out of 17 cities and provinces nationwide with Covid-19, especially in the non-capital area, making it has become a universal service nationwide. Therefore, the growing home meal replacement market needs marketing strategies to secure and emphasize food safety.

• Journal of Labour Economics
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• v.37 no.3
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• pp.1-44
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• 2014

This paper investigates the effect of household formation on the mapping from wage inequality to income inequality, which usually is smaller than the former. Added workers, income pooling among household members, and shared consumption are the factors that make income distribution less inequal than wage distribution, and the effect of income pooling appears to be the greatest. This suggests than the increase in nuclear families and the resulting increase of old families have a potential effect of worsening income inequality at the absence of sufficient private income transfers among the two households. A simple counter-factual estimate indicates that income pooling among the children's and parents' households can efficiently and sizeably reduce income inequality.

• Journal of Labour Economics
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• v.25 no.1
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• pp.75-95
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• 2002

Using 3 years of panel data on nearly 3,507 households, the Korea Labor Income Panel Survey(KLIPS) data, the authors measure the determinants of poverty and unemployment, and the extents to which poverty influenced unemployment. The probit analysis of unemployment shows that unemployment probability is lower, when male, lower age and is higher, high-school and over junior college, work duration is over 3 years. The probit analysis of poverty shows that poverty probability is lower, when male, higher education level, longer career. specially unemployment and social insurance is determinants of increasing poverty. Bivariate probit model of unemployment and poverty also provides similar findings to those probit analysis and shows an evidence of the influence of unemployment on poverty along with the positive role of social welfare policy such that social welfare receipt reduces the impact of unemployment on poverty.

• Korean Journal of Health Education and Promotion
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• v.25 no.5
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• pp.39-51
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• 2008

The objectives of this study were to analyze the socio-economical factors related to smoking and drinking behaviors using the Korea Welfare Panel data. The key variables were sex, age, frequency of health and medical facilities visit, subjective health level, smoking level, drinking level, depression symptoms, and low income level. Since the health variables in the Welfare Panel data were limited, the analysis was exploratory. In male population of those older than 30 years old, low income group people were more likely to smoke cigarettes than the general income population. In the result of the Chi square analysis, the smoking rate showed significantly different relationships with the different age groups, gender and income level. According to the descriptive analysis, persons with low income level were more likely to experience health risk behaviors and showed more medical service utilization. The utilization of the local public health centers was 4.6% for the Bow income level and 1% for the general level. The higher smoking rate was associated with the younger age, and the lower income. The smoking rate in the age category from 20 to 29 was 23.3% for the general level and 25% for the low income level. On the other hand, the drinking rate was even higher in the general families. The rates of non use of alcohol was 36.7% in the general families and 58.4% for the low income families. For both smoking and high risk drinking issues, demographic and sociological variables such as sex, age, education levels and income levels were analyzed, and there wer significant relationships. Health risk factors were serious for males, with age groups of 20's and 30's, lower education level, and in a low income family. In general, females were more unhealthy. The rates of smoking and drinking were higher in the low income level. Even in the health and nutrition survey results in 2005, persons in the low income class were experiencing poorer health in health level or the degree of action restriction. Since the effects of the health promotion could not be measured in a short period of time, it has not been easy to create the basis for the substantial effects. Factors related to health risks needs to be continuously studied using data from diverse field.

• 한국노년학
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• v.31 no.3
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• pp.573-590
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• 2011

This study analyzes the major factors affecting domestic middle-aged and elderly households' strength in consumption using the first and second wave of Korea Longitudinal Study of Ageing(KLoSA). First, household income and household liquid assets which are the strength in household consumption was analyzed and as a result, among various explaining variables, aged and elderly households with the higher education level and more household members, those in self-owned residence and in a state of labor and those which are the beneficiaries of special occupational pension scheme show relatively the same high level of strength in consumption. Then, the determining factor of household consumption was assumed based on the second wave of data and as a result, those with more yearly household disposable income and household liquid assets, those living in metropolitan cities with self-owned homes, those engaged in labor practice or which are the beneficiaries of special occupational pension scheme are more likely to have a relatively bigger contributory factor in increasing household consumption. By contrast, household's consumption decrease in the case of those with higher age, those who are the beneficiaries of national pension or those who are male.

• 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.

• Journal of Family Resource Management and Policy Review
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• v.27 no.1
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• pp.41-52
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• 2023

This study aims to discuss the role and function of social capital in explaining social risk perception among female-headed households. This study analyzed the level of social risk perception and its determinant factors of female-headed households using 2020 Social Survey data from Statistics Korea. The analysis revealed that socio-demographic factors and social capital influenced the perception of social risk. In addition, the social capital related to social safety was associated with the level of social risk perception. Even after controlling for various factors, the social risk perception level among female-headed households was higher than among male-headed ones. Among female-headed households, social capital such as compliance with regulations or ability to cope with risk; demographic factors such as age, residential area, and health status; and economic factors such as income level and housing type were found to affect social risk perception. Based upon the findings this study devises ways to accumulate social capital that can be obtained in cooperative relationships between families and communities.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.6
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• pp.321-331
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• 2021

This study sought to analyze factors influencing high-risk drinking in single-person households. For this, data from the 2018 community health survey were used. Subjects were 32,389 adults above the age of 19 in single-person households. For the data analysis, high-risk drinking groups were extracted according to the high-risk drinking rate index of the survey to arrive at influencing factors and differences in health-related and sociodemographic characteristics. The IBM SPSS 25.0 software was used for analysis and a complex sampling design was applied. The results showed that the high-risk drinking rate of Korea's single-person households was 15.0% (male: 25.8%, female: 5.8%) and age, education under high school level, service-industry employees, smokers, people with depression, high blood pressure, and irregular breakfast eaters appeared as common elements for both genders. Stress appeared to only affect males while being diabetic only affected females. High-risk drinking was higher for males in their 30~40s and women in their 20~30s. The younger generation showed the highest numbers in high-risk drinking and factors like stress or depression appeared to be influencing factors for high-risk drinking. Hence, mental health programs along with customized health policies through health forms and lifestyle changes will be required to lower the high-risk drinking rates of single-person households.

• Journal of Families and Better Life
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• v.18 no.3 s.47
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• pp.53-70
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• 2000

This research was tried to understand the income, consumption expenditure with the family lifecycle stage of urban workers and on the basis of this to pull out the optimal consumption line and to provide the basic data for long term management of household finance. As a whole, it ti revealed that real consumption both in the period of establishment and reduction is lower than optimal consumption, whereas real consumption in the extension period is far higher than the optimal consumption in the same period. The reason amy come from that the educational expenditure of children in the middle age reaches the climax and in addition household in the same time tends to add the marriage costs supporting his children.

• Journal of Korean Society of Transportation
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• v.30 no.3
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• pp.71-82
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• 2012

This study analyzed factors affecting daily travel times at each stage of commuters' life cycle. In this study, travel times were dealt with in the context of trip chain. That is, the travel time was defined as the total amount of time commuters had spent to move for daily activities from leaving to coming back home. A commuter's life cycle was divided into 6 stages on a basis of both householder's age and family type: i.e., the unmarried youth period, the family forming period, the children education period, the children youth period, the children independence period, and the aged period. Variables such as commuting times, home-based trip cycle recurrences, and the number of stops differed for each stage of life cycle, the latter of which represents how many places a commuter dropped by during a trip cycle. Several factors were found to affect commuting times at each stage of life cycle as a result of applying a Cox proportional hazard model. The empirical study was conducted using 2010' household travel survey data collected from Gyeonggi-do.