• Journal of Family Resource Management and Policy Review
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• v.21 no.3
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• pp.141-159
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• 2017

The main purpose of this study is to investigate factors that influence sleep duration and sleep time poverty in terms of family characteristics, child characteristics, and time use. A series of data analyses were conducted on children's time use in two-parent families based on the 2013 Korean Children and Youth Panel Survey. One major finding is that children's sleep duration and the probability of having a sleep time poverty are related to their mothers' job classifications. The factors influencing the duration of sleep time and the sleep time poverty are similar in terms of family characteristics and children's time use. The mother's job classification, family income, number of younger siblings, number of older siblings, children's private tutoring hours, computer game hours, and TV hours are statistically significant factors affecting the duration of sleep time and the probability of having a sleep time poverty. However, the factor with greatest influence on sleep time duration is private tutoring hours and the factor most affecting sleep time poverty is computer game hours. The mother's job classification is a relatively powerful determinant for predicting her children's sleep duration and sleep time poverty.

• The Southeast Asian review
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• v.23 no.1
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• pp.127-167
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• 2013

This paper aims to analyse the inequality and poverty in Malaysia. Malaysia is considered to be a country of high inequality and high poverty according to the Asian Development Bank. To tackle the income inequality and poverty in Malaysia, especially after the incident of ethnic riot in 1969, the government pursued to implement the affirmative action for the benefit of bumiputra. Recognizing the fact that the economic factors are crucial in determining the levels of inequality and poverty, this paper analyses the historical, institutional and cultural factors and evaluates the affirmative action designed to reduce the income gap between bumiputra and non-bumiputra.

• Journal of the Korean Society of Child Welfare
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• no.26
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• pp.113-137
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• 2008

Present study investigated the effects of poverty and poverty-co-factors in childhood. The effect of poverty status was measured by needs-income ratio. It compared its effect on children's socio-emotional development with that of poverty proxy variables such as recipient of public assistance, financial stress, subjective perception about social class, residence in public housing. It also examined the effects of poverty-co-factors after poverty status were controlled. Results show that poverty status has a more consistent negative relationship with socio-emotional development than other proxy variables. However, the relationship between them disappeared after poverty-co-factors were controlled. Findings from the present study suggest that targeted efforts for decreasing poverty-co-factor risks should be made along with financial support.

• Research in Community and Public Health Nursing
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• v.10 no.2
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• pp.525-536
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• 1999

The result of this study may be abstracted as follows. 1) The study was done on 48.3% seniors(138), 34.3% sophomores. and 17.5% juniors mostly ranging in age from 21 to 22, the largest number of students at 38.1%(109) were Christian. followed by 31.5%(90) were Confucian. 20.6%(59) who were Catholic. and 9.1%(26)who were Buddhist. 2) Concerning the economic views. 46.8%(134) preferred Capitalism 40.9%(117) preferred a combination of Capitalism and Socialism, 8.7%(25) were for more or less Socialistic in view point, and 3.5%(10) for Socialism. 3) Among the internal factors causing poverty, 'lack of ability(knowledge)', scored the highest at 3.528, and 'beauty or appearance' scored the lowest at 1.570. Social factors scored high in 'bad economic/tax policies' at 3.374 and 'low average in wages' at 3.364. Among family matters, 'not much money at home' scored the highest at 3.273, and 'low expectation of success in poor families' scored the lowest at 2.315. On concerns of fate and destiny. 'bad luck' turned out to be the most likely cause of poverty with the score of 2.619. and 'destined poverty' was the least likely cause with the score of 1.969. 4) The high scoring economical consequences of poverty was 'not able to do as one desires' at 3.965, and 'no money to buy things wanted' at 3.804. 'Gets tired of life' (4.028) scored high in psychological consequences showing that poverty affects these matters greatly. 'Looked down on by others' (3.538) scored high in social circumstances, and 'feels like a burden to society' scored low at 2.080. Among family matters. 'hard life' scored high at 4.210, and 'low morality' scored low at 1.972. 5) Significant differences(p= .00) were found between economic views and what significance certain internal factors caused poverty these differences were also related to a reliance on religion, economic views, and economic status. Significant differences were also found between economic status and internal factors causing poverty(p= .04), economic point of view and social factors(p= .01). and economical point of view and luck related matters, (p = .01) When the consequences of poverty were considered. psychological factors such as 'hate towards oneself', 'tired of life', and 'afraid of the future' showed significant differences in relation to economic status. (p = .02) Family matters also showed significant differences in relation to economic status(p= .03), With personal characteristics and wealth causing factors, significant differences were found between a person's economic point of view and ecinomic status when considering and internal or social factors.

• International Journal of Advanced Culture Technology
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• v.10 no.2
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• pp.28-33
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• 2022

This study aims to investigate factors that affect elderly poverty based on a comprehensive and universal perspective, suggesting some alternatives for improving the poverty rate of the elderly. The comprehensive and universal approach to the poverty of the aged that this study attempts can give a better understanding of the elderly poverty beyond the contribution of the existing literature, with the research model including individual, family, labor, and income factors as the causes of old-age poverty from the comprehensive and universal perspective on the causes of poverty of the elderly. In addition, the study attempts to input variants of variables into the equation for the causes of elderly poverty by using panel data from the 8th Korean Retirement and Income Study. This study employs decision tree analysis to determine the cause of the poverty of the elderly using CHAID. The decision tree analysis shows that the most vital variable affecting elderly poverty is making income. For the poor elderly without earned income, public pensions, educational careers, and residential areas influence elderly poverty, but for the poor elderly with earned income, wage earners and gender are variables that affect poverty. This study suggests some alternatives to improve the poverty rate of the aged. The government should create a better working environment such as senior re-employment for old people to be able to participate in economic activities, improve public pension or social security for workers with unfavorable conditions for public security of old age, and give companies that create employment of the aged diverse incentives.

• Journal of Distribution Science
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• v.17 no.3
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• pp.21-30
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• 2019

Purpose - While many related prior studies have focused on the segregation by race and ethnicity, the academic interest in the separation of residence by income and social class is gradually increasing. This study aims to not only investigate spatial pattern of economic segregation and poverty rate in South Korea, but also shed light on what affect residential distribution of the poor. Research design, data, and methodology - The unit of analysis is Si-Gun-Gu municipal level entities of South Korea. Most demographic, socioeconomic, and residential variables were derived from Korean Census Data in 2015. In order to examine spatial patterns of economic segregation and poverty rate in South Korea, a series of measurements and visualization was conducted through the Geo-Segregation Analyzer and ArcGIS programs. Determinants of economic segregation and local poverty rates were investigated by regression analyses using STATA. Results - The spatial patterns of areas with high poverty rates were extremely clustered, while the distribution of areas with high economic segregation was relatively evenly distributed. Demographic, residential, and local factors appeared to affect whether the poor live in particular area or spread evenly. Conclusions - The factors that raise the poverty rate result in lower level of economic segregation, while factors that reduce the poverty rate lead to severe level of economic segregation.

• Human Ecology Research
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• v.56 no.2
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• pp.175-193
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• 2018

This study identified the rate of income poverty and multidimensional poverty, correlation between income poverty and multidimensional poverty, and adjusted multidimensional poverty rate. We also analyzed the factors that affected the number of poverty dimension and the probability of belonging to the poor or not in 3,159 elderly households including 474 poor households and 2,685 middle class households. First, in poor households, the employment poverty rate was the highest and the housing poverty rate was the lowest. In middle class households, the relation poverty rate was the highest and the employment poverty rate was the lowest. Second, in poor households, correlation between asset poverty and relation poverty had the highest coefficient of .205 and asset poverty and housing poverty had the lowest coefficient of .149. In middle class households, the correlation between income poverty and relation poverty had highest coefficient of -.290 and employment poverty and relation poverty had the lowest coefficient of .038. Third, in poor households, the number of average poverty dimension was 4.30, but the number of average poverty dimensions of middle class households was 2.310. Fourth, the variable affecting the number of poverty dimensions in poor households were gender, age, level of education, marital status; however, the significant variables were gender, education level, marital status, income poverty in the middle class households. The variable that affected the probability of belonging to the poor or not in poor households was age. However, the significant variables were gender, education level, marital status, residence, and income poverty in middle class households.

• Korean Journal of Health Education and Promotion
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• v.32 no.5
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• pp.43-51
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• 2015

Objectives: Socioeconomic factors are one of the significant factors explaining drinking problems in our society. From the poverty and inequality perspective, not only absolute poverty but perceived level of poverty or inequality has a direct effect on one's health and health behaviors. The purpose of the study is to explore the growth trajectories of problem drinking in Korea in relation to poverty and perceived income. Methods: Data from 13,414 adults were analyzed using 4 years of data (2010 to 2014) from the Korea Welfare Panel. Main variables included poverty status, perceived income inequality, and problem drinking. A latent growth modeling was employed for the analysis. Results: The non-poverty group had higher initial level of problem drinking; however, the poverty group showed higher rate of increase in problem drinking rate. The perceived income inequality had no significant influence on the initial level, but over time, those with higher level of perceived income inequality showed higher rate of increase in problem drinking. Conclusions: Findings showed that poverty and inequality affect changes in problem drinking. Efforts to prevent and decrease problems related to alcohol should not only focus on changing individuals' behavior but also on decreasing the inequality gap.

• Korean Journal of Organic Agriculture
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• v.29 no.4
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• pp.471-484
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• 2021

The characteristics of poverty can be comprehensively revealed from the two angles of income and multidimensional. This paper compares China's rural income poverty measure with multidimensional poverty index using data from China Family Panel Studies (CFPS) by focusing on the static and dynamic disparities, and analyzes the factors influencing poverty through the Logit model. The results show that there exists a substantial mismatch in who is deemed poor, 60 percent of multidimensional poverty households are not considered poor in terms of income poverty, and 70 percent of income poverty households are not considered poor in terms of multidimensional poverty; There is a high level of disparity between the dynamics of the two measures of poverty. Among those who rose in the income dimension, only about 7 percent also rose in the multidimensional measure from 2016 to 2018.

• The Korean Journal of Community Living Science
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• v.24 no.3
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• pp.343-354
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• 2013

Elderly people living in poverty are one of the most vulnerable population groups who are at risk of experiencing social exclusion. Social participation is an important contributing factor to active aging and social integration of the older adults living in poverty. This study aims to identify factors affecting social participation of the poor elderly. Data from the second wave of the Korean Longitudinal Study of Ageing was used for the analyses and 1,346 poor elderly aged over 65 were analyzed. The findings showed that age, education, health status, a level of depression, financial stress, and economic activity were associated with the social participation of the elderly living in poverty. These results indicated that psychological empowerment and specific needs of the older adults living in poverty should be considered in developing services and programs to promote social participation of the poor elderly.