• Korean Journal of Rural Living Science
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• v.6 no.1
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• pp.73-84
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• 1995

The objective of this thesis is to analyse empirically the economic resource problems of the rural poor households. Data from 444 rural sample households in four provinces, divided into two subgroups, the poor and the non-poor households, were analysed and compared. The owned arable land size, level of agricultural and non-agricultural income, assets, debts and the sufficiency of living expenses of the poor households were measured and compared with those of non-poor households respectively. The significant findings and drawn conclusions are as follows : The rural poor households 1. tends to show smaller family size, older age and lower level of education of homemakers than the non-poor households, that might work as constraints to income sources and quality. 2. has not only small arable lands and agricultural income but also even smaller cash income, less than 50% of total income, with 27% of self-product consumption and depends more on non-agricultural income than the non-poor households. Such weakness of income structure might cause and increase the income instability of the rural poor households. 3. reveals significantly different level and components of assets from the non-poor households lower level of assets, less amounts of but more load of debt due to lower solvency that comes from low level of income and assets, higher debts for consumption and lower accessibility to credit. All these socio-demographic and economic characteristics of the rural poor households might have compound effects on the economic problems of the poor households and make vicious circle of poor.

• 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.

• Journal of the Korean Regional Science Association
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• v.37 no.1
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• pp.15-27
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• 2021

This study investigates the difference in income trajectories of the working poor and the non-working poor and explains the effects of socio-demographic (marriage, education) and regional (living in large cities) factors on intergroup differences. We use Seoul Survey data collected between 2009-2018 and the latent growth modeling approach. It was found that the trajectory difference between groups was statistically significant. Since 2016, the income gap widened as the income of the working poor stagnated. The three variables included in this model better explained the income trajectory of the working poor compared to the working non-poor. In particular, the change in income growth rate was positively related to whether they live in large cities. This suggests the possibility that living in a large city would act as an economic premium for the working poor. It is necessary to conduct follow-up studies on urban premiums for the working poor.

• The Journal of Asian Finance, Economics and Business
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• v.9 no.10
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• pp.227-234
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• 2022

The proportion of people living in poverty in Soc Trang is comparatively large. 27,154 households in this province are considered to be poor, which represents 8.4 percent of all households. The gap between rural and urban areas, between farmers and other social classes in this province, tends to increase, and the living standard of people in the countryside remains difficult. This paper aims to investigate the determinant factors of poor households' income in rural areas of Soc Trang province, Vietnam. Data from 120 poor households in Vinh Chau district and Ke Sach district of Soc Trang province collected in the year 2019 is employed to test the proposed hypotheses in this study. By applying the descriptive statistical method and ordinary least squares (OLS) regression, the results show that the factors of production land, number of income generation activities, access to credit, means of transportation, and means of production positively affect the income per capita of poor household in the study area, whereas household size has a negative impact on the household income per capita. Considering the empirical findings, several solutions and recommendations are proposed to improve the income of poor households in Soc Trang province.

• Korean Journal of Health Education and Promotion
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• v.30 no.2
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• pp.41-53
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• 2013

Objectives: As the size of elderly population living alone grows, socioeconomic diversity has also increased. This study examined if social risk factors of poor self-rated health were distinguishable between the low income elderly and their non-low income counterparts both living alone. Methods: The '2006 Elderly Health Interview Survey' conducted by D-gu in Seoul was utilized. We divided the elderly living alone into two groups depending on their economic status: low income and non-low income. Employing logistic regression, we analyzed the associations of poor self-rated health with socio-demographic factors, health-related factors, social support, the relations with children, social activities, welfare service use, and the perception of neighborhood safety. Results: Proportion of rating one's own health being poor was different between two populations. Social support was important for the self-rated health of the non-low income elderly, while welfare service use, the perception of neighborhood safety, and the relations with children were noticeable for the low income elderly. Conclusions: To better understand the health need of elderly population living alone, their heterogeneity in socioeconomic characteristics should be taken into account.

• 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 Journal of Asian Finance, Economics and Business
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• v.6 no.1
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• pp.71-81
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• 2019

The objective of the study is to examine the impact of financial development and foreign remittances on poverty and income inequality in the context of Pakistan. The study used ARDL-Bounds testing approach for robust inferences. The results show that in the short-run, remittances increases poverty and income inequality, which further translated into its long-run impact. The result confirmed the inverted U-shaped relationship between per capita income and income inequality, while the second order coefficient of per capita income substantially decline poverty incidence in a country. In the long-run, the results disappeared and it's turned into U-shaped relationship between income inequality and country's per capita income. Education largely decreases income inequality both in the short and long-run, however, it increases poverty in the long-run. Unemployment rate substantially damaged the pro-poor growth scenario, as high unemployment rate increases both the poverty rates and income inequality, which suffered poor more than non-poor in a country. Financial development has a positive impact on poverty reduction and income inequality in the short-run. The impact of income inequality on poverty incidence is positive both in the short- and long-run, which need pro-poor growth policies and rationale income distribution in a country.

• The Journal of Asian Finance, Economics and Business
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• v.9 no.2
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• pp.209-215
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• 2022

This study aims to analyze the livelihood resources and income diversification of informal recyclers in the Mekong River Delta (MRD). The multiple linear regression model was applied to determine income diversification and total household income with the sustainable livelihood analysis framework developed by the United Kingdom Department for International Development (2000), including human resources, physical resources, natural resources, financial resources, and social resources. The results indicated that up to 25% of itinerant waste buyers worked on average more than 7.3 hours/day, which was higher than the urban near-poor level regulated by the Vietnam government. The results of the regression model revealed that total households' income was affected by the factors of health status, gender, urban location type 1, the amount of potential savings, and informal credit participation, while the factors of health status, urban location, the amount of potential savings, and informal credit participation have the effect of diversifying farm household income. Thus, if the informal waste recycling sector is supported and regulated by proper government management, it will not only help poor households diversify their income, but it will also help poor households diversify their income, particularly women's income, which is vulnerable and lower than male income in the MRD.

• Korean Journal of Social Welfare
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• v.56 no.2
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• pp.237-259
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• 2004

The public assistance scheme plays more important role in income maintenance for poor elders than the public pension does due to insufficient coverage of the public pension resulted from late introduction of it in Korea. However, only limited numbers of poor elders are financially protected by the public assistance contrary to the general perception that the elderly population most benefits from public aids. Based on data set of 2000 from the Korean Labor and Income Panel Study, this study analysed the size, composition and characteristics of poor elders excluded from the public assistance, and determinants of the elderly's participation in it. Findings of the study can be summarized as follows: (1) More than half of poor elders are excluded from the public assistance although their economic status is similar with that of recipients, which may cause income reversal between recipients and non-recipients. (2) It was identified that non-recipient poor elders especially those with same income level of recipients of the National Livelihood Guarantees(NLG) are actually in desperate need of public aids considering their serious financial conditions. (3) Participation in public assistance among the elderly is more affected by socio-demographic factors that reflect family conditions than by economic factors, which is mostly caused by the strict eligibility criteria of the public assistance that reinforces family duty of financial support for elderly relatives in Korea. Policy implications for more effective income security for poor elders include revising inappropriate eligibility criteria of the NLG concerning family obligations, expanding the coverage of the old age allowance for poor elders to near-poor elders, and providing work opportunities to non-recipient poor elders to supplement their income deficit.

• Korean Journal of Social Welfare Studies
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• v.42 no.3
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• pp.233-265
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• 2011

Material hardship measures have been used to supplement the traditional income-based poverty measures. Recently poverty researchers have increasingly used measure of material hardship to examine the well-being of low income families. Measuring the material hardship might be useful to a better understanding of the multi-dimensions of the poverty in Korea. Using the data of the Korea Welfare Panel Study(the fourth wave), I examine incidences of material hardship across quintiles of the income distributions and the factors that might affect the experience of material hardship among the poor families. Major findings are as follows. Descriptive results show that nearly one-fifth of all families had experienced at least one of the five material hardships in the year. Those in the bottom quintiles and the poor families are more likely to experience material hardship than the other quintiles and non-poor families. But, incidences of the material hardship in the middle income quintiles and low income families are not a few(18 percent and 37 percent). Logistic regression results show that family-consumption related variables, income other economic resources(asset and public assistance), and household's employment status affect the experience of material hardship among the poor families. But, material hardship among the poor families is not significantly related with family income. These results indicate that material hardship measures are the useful indicators to understanding the multi-dimensions of the poverty in Korea. And they suggest that an extensive reform of the public assistance policy is necessary to relieve the material hardships of the poor in Korea.