• The Journal of Asian Finance, Economics and Business
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• v.8 no.2
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• pp.635-641
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• 2021

This article analyzes the factors affecting income inequality in Vietnam, with data from 63 provinces and cities collected from the Vietnam Household Living Standards Survey of the General Statistics Office of Vietnam from 2010 to 2018. The article will firstly build a research model to identify factors affecting income inequality. Then, it uses the Generalized Method of Moments (GMM) method to evaluate the effect of factors on income inequality in Vietnam. The empirical estimate result shows that, in the period from 2010 to 2018, the factors such as the proportion of the working employees, income per capita, and inflation have positive effects on the Gini coefficient. That is, when these factors increase, there will be negative effects on improving income inequality in Vietnam. Conversely, when the factors such as the proportion of the literate adults, the proportion of the urban population, and population density increase they will have a positive impact on improving income inequality in Vietnam during this period. The estimated coefficients satisfied the sign expectation except the proportion of the literate adults. It means that, in Vietnam, the increase and more equilibrium in educational attainment balance the distribution of income and bring an improvement in income inequality.

• 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 School Health
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• v.20 no.1
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• pp.63-75
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• 2007

Purpose: With economic development and prolonged longevity, the level of health and health disparities have became growing concerns for individual and society as well. Since youth's health status are influenced by households' socioeconomic status and associated with heath status in later stage of life, assessing health inequality in the youth is a significant step toward lessening health disparity and promoting health. We measured health inequality in high school students and decomposed it into health factors. Methods: The subjects included 3,787 high school students of 12th graders from the Korea Education and Employment Panel (KEEP) in 2004. True health status was assumed as a latent variable and estimated by ordered logistic regression model. The predicted health was used as a measure of individual health after rPSraling to [0,1] interval. Total health inequality was then measured by Gini coefficient and was decomposed into health factors. Results: Health inequality in high school students was observed. Of total health inequality, 44% was explained by biological factors such as body mass index (BMI) (32.5%) and gender (13.5%). Behavioral factors such as smoking, drinking, physical activity, hours in bed and hours of computer ussge added to 11.7%. Household income and work experiences explained 5.6% and 8.8%, respectively. School satisfaction explained 14.6%. Other school related factors such as self-assessed achievement and experience of being bullied accounted for 15.5%. Conclusion: Among the health factors, biological factor was the most important contributor in health disparity. Other factors such as health behaviors, socioeconomic factors, school satisfaction and school related factors exhibited somewhat similar magnitude. For policy purposes, it is recommended to look into modifiable factors depending BM, gender and school surroundings.

• Communications of Mathematical Education
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• v.21 no.2 s.30
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• pp.303-320
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• 2007

The purpose of this study is to develop a tool which can be used in factor analysis of inequality on mathematics scholastic achievement. The objectives for study are as follows: First, we develop a model for 'factor analysis of inequality on mathematics scholastic achievement' transformed from Persell's 'A model for factor analysis of inequality on education'. Second, we analyze the inequality factors with the deviation index of objects on mathematics scholastic achievement that we have developed. The results of this study are as follows: We development a model for 'factor analysis of inequality on Mathematics' and inequality factors on mathematics scholastic achievement in secondary schools are private education, scholarships of parents, region, sex and school system. The factors most influenced in mathematics scholastic achievement are economic standings of household, scholarships of parents and private educations in order.

• 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.

• Women's Health Nursing
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• v.21 no.2
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• pp.150-159
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• 2015

Purpose: This study was aimed to identify gender-based health inequality and explore impacting factors on health inequality in one province in Korea. Methods: This was an explanatory study using the secondary data on Chungnam province from the Fifth Community Health Survey from August 16 to Oct 31, 2012. Variables included in this analysis were education level, poverty, marital status, and residential community for socio-cultural characteristics and subjective health status as an indicator of health inequality. Data were analyzed by ${\chi}^2$-test, t-test, ANOVA, and multiple linear regression. Results: There were gender inequalities and disparities in health, and these inequalities were greater in woman than in man (${\chi}^2$=161.8, p<.001). The impacting factors were education level, poverty, marital status, and residential community, which was accounted for 22.6% of variances of health inequality. Among these variables, gender showed the largest influence in health inequalities. Conclusion: To solve health inequalities, it should be considered gender differences based on social determinants of health. It is necessary to develop long term project based on these results and the social determinants model of World Health Organization.

• Journal of Preventive Medicine and Public Health
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• v.52 no.4
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• pp.214-223
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• 2019

Objectives: Equity in financial protection against healthcare expenditures is one the primary functions of health systems worldwide. This study aimed to quantify socioeconomic inequality in facing catastrophic healthcare expenditures (CHE) and to identify the main factors contributing to socioeconomic inequality in CHE in Iran. Methods: A total of 37 860 households were drawn from the Households Income and Expenditure Survey, conducted by the Statistical Center of Iran in 2017. The prevalence of CHE was measured using a cut-off of spending at least 40% of the capacity to pay on healthcare services. The concentration curve and concentration index (C) were used to illustrate and measure the extent of socioeconomic inequality in CHE among Iranian households. The C was decomposed to identify the main factors explaining the observed socioeconomic inequality in CHE in Iran. Results: The prevalence of CHE among Iranian households in 2017 was 5.26% (95% confidence interval [CI], 5.04 to 5.49). The value of C was -0.17 (95% CI, -0.19 to -0.13), suggesting that CHE was mainly concentrated among socioeconomically disadvantaged households in Iran. The decomposition analysis highlighted the household wealth index as explaining 71.7% of the concentration of CHE among the poor in Iran. Conclusions: This study revealed that CHE is disproportionately concentrated among poor households in Iran. Health policies to reduce socioeconomic inequality in facing CHE in Iran should focus on socioeconomically disadvantaged households.

• Korean Journal of Labor Studies
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• v.24 no.3
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• pp.1-34
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• 2018

This paper attempts to provide a new theoretical approach and an empirical analysis based on it to interrogate the structure of household income inequality and its changes in South Korea in the 2010s. Previous research on inequality in sociology, labor economics and feminism has focused on local inequalities which derive from specific spaces of society. For a comprehensive understanding of social inequality in totality, it requires a discussion of global inequality beyond local inequalities. Thus, a synthetic approach that integrates local inequalities, encompassing class, the labor market, population, and family. By using regression-based inequality decomposition, we decompose the contribution of gender, level of education, employment status, occupation, household composition and wealth to household income inequality. This paper shows that household and wealth, as well as the factors discussed in the previous research, are significant factors affecting household income inequality in South Korea.

• Journal of Korean society of Dental Hygiene
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• v.22 no.5
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• pp.417-424
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• 2022

Objectives: This study aimed to find a way to solve oral health inequality in old age by understanding the effect of the socioeconomic level of the elderly on oral health. Methods: We used data from the 7th Korea National Health and Nutrition Examination Survey. A chi-square test was performed to investigate differences in oral health according to socioeconomic status and demographic and oral health-related factors. Socioeconomic status and oral health inequality were analyzed using multiple logistic regression. Results: The average number of teeth in the elderly was 17.20, which is insufficient for the minimum number of teeth required for mastication. In the analysis of the correlation between socioeconomic status and oral health inequality, education level, income level, and home ownership were factors influencing the oral health of the elderly; education level was found to have the strongest effect. Conclusions: Oral health inequality according to socioeconomic status was confirmed, and it is necessary to measure the level of oral health inequality with active efforts at the government level to resolve the gap in oral health by social class.

• Kyungpook Mathematical Journal
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• v.48 no.3
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• pp.457-463
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• 2008

In this paper, by introducing a new function with two parameters, we give another generalizations of the Hilbert's integral inequality with a mixed kernel $k(x, y) = \frac {1}{A(x+y)+B{\mid}x-y{\mid}}$ and a best constant factors. As applications, some particular results with the best constant factors are considered.