• Journal of Preventive Medicine and Public Health
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• v.51 no.6
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• pp.289-297
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• 2018

Objectives: Obesity is a considerable and growing public health concern worldwide. The present study aimed to quantify socioeconomic inequalities in adult obesity in western Iran. Methods: A total of 10 086 participants, aged 35-65 years, from the Ravansar Non-communicable Disease Cohort Study (2014-2016) were included in the study to examine socioeconomic inequalities in obesity. We defined obesity as a body mass index ${\geq}30kg/m^2$. The concentration index and concentration curve were used to illustrate and measure wealth-related inequality in obesity. Additionally, we decomposed the concentration index to identify factors that explained wealth-related inequality in obesity. Results: Overall, the prevalence of obesity in the total sample was 26.7%. The concentration index of obesity was 0.04; indicating that obesity was more concentrated among the rich (p<0.001). Decomposition analysis indicated that wealth, place of residence, and marital status were the main contributors to the observed inequality in obesity. Conclusions: Socioeconomic-related inequalities in obesity among adults warrant more attention. Policies should be designed to reduce both the prevalence of obesity and inequalities in obesity by focusing on those with higher socioeconomic status, urban residents, and married individuals.

• Korean Journal of Social Welfare Studies
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• v.42 no.1
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• pp.333-370
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• 2011

This study views the aged inequalities according to the inequality hypothesis of the life course perspective in OECD 10 countries. Focusing on educational level which is early social status and welfare state regime which is social structure factors of inequality, this study analyzes income inequality for the aged who have transformed into old age period from non-aged period. The analysis is based on the data SHARE of Europe and HRS of USA. The main results of this study are summarized in four points. First, the income inequality is quite high by welfare system and the educational level. Second, the income inequality is somewhat reduced in case the people move from the period of non-aged to the period of aged. However, gini coefficient is still high(0.475). Considering welfare state regimes, although the income inequality is high in conservative regime of non-aged period, this would be higher in aged period. This result supports cumulative advantages/disadvantages hypothesis. The liberal regime remains high income inequality which supports the theoretical argument of status maintenance. Social democratic regime provides evidence to offer some support for the status leveling hypothesis. In there, income inequality is lower in aged period even though income inequality of non-aged period is low. Third, the cumulative advantages/disadvantages of disposable income according to educational level are strengthened and heterogeneity is grown in case people transition from the late period of non-aged to aged period. But public pension has been more equally distributed than gross income. Fourth, seeing welfare state regimes, public pension of aged-period is more inequally distributed than that of non-aged period in liberal and conservative regime. Specially in conservative regime, inequality of gross income is very high and public pension is also inequally distribute So this might show that the social security system strengthens the cumulative advantages/disadvantages. However, in the social democratic regime, public pension is more equally distributed than gross income and it could be much more equally distributed in aged period, which can support the status leveling hypothesis.

• Kyungpook Mathematical Journal
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• v.54 no.1
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• pp.1-9
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• 2014

We build new Hilbert-type integral inequalities in the whole plane with the non-homogeneous kernel involving some parameters and the best constant factors. We also consider their reverse.

• The Journal of the Korea Contents Association
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• v.13 no.6
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• pp.236-245
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• 2013

This study analyzed the relationship between elderly suicide rates and socio-economic factors from the macroscopic perspectives. As certain theoretical background of elderly suicide, sociological and economic perspectives are applied. The economic factors of elderly suicide rates consisted of economic growth and unemployment rate, economic activity rate of the aged, and relative poverty rate (income inequality rate). The sociological factors included social welfare spending, divorce rate, growth rate of population aging, and elderly dependency ratio. According to research findings, first, the more economic activity of the aged is low, the more elderly suicide rate is high. Second, the more social welfare spending rate goes flat, the more elderly suicide rate is growing. Third, the more relative poverty rate (income inequality), increasing population aging rate, and elderly dependency ratio are high, elderly suicide rate goes high at the same time. Finally, this study proposed several socio-economic policy alternatives for preventing continuous growth of Korean elderly suicide rate.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.11
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• pp.541-548
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• 2020

This study aimed to explain the factors that influenced an individual's decision to migrate. The method of analysis in this study was the estimation of the probit regression model with data from the Indonesian Family Life Survey (IFLS-5), which covered 30,000 individuals from 13 provinces in Indonesia. Data from IFLS-5 were longitudinal data, meaning that the study was looking for data consistently to get reliable data from respondents. The research variables to determine the individual's decision to migrate were education level, income level, employment status, marital status, land ownership status, health quality, gender, residence status, and poverty status. Individual decision to migrate as a dependent variable was placed as a dummy variable. The results showed that the level of education, income level, employment status, marital status, land ownership status, health quality, and poverty status significantly influenced an individual's decision to migrate. Meanwhile, gender and residence status did not significantly affect an individual's decision to migrate. This research recommends that it is necessary to pursue a policy of economic equality between regions because economic factors are the main trigger for an individual's decision to migrate. Policies to overcome economic disparities among regions will reduce the individual's decision to migrate.

• Journal of Preventive Medicine and Public Health
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• v.40 no.5
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• pp.381-387
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• 2007

Objectives: This study was conducted in order to determine how the association between socioeconomic position(SEP) and health status changes with age among Seoul residents aged 25 and over. Methods: We utilized the 2001 and 2005 Seoul Citizens Health Indicators Surveys. We used self-rated 'poor' health status as an outcome variable, and family income as an indicator of SEP. In order to characterize the differential effects of socioeconomic position on health by age, we conducted separate multivariate analyses by 10-year age groups, controlling for sociodemographic covariates. In order to assess the relative health inequality across socioeconomic groups, we estimated the Relative Index of Inequality (RII). Results: The risk of 'poor health' is significantly high in low family income groups, and this increased risk is seen at all ages. However, the magnitude of relative socioeconomic inequality in health, as measured by the odds ratio and RII, is not identical across age groups. The difference in health across income groups is small in early adulthood (ages 25-34), but increases with age until relatively late in life (ages 35-64). It then decreases among the elderly population (ages more than 65). When the RII reported in 2005 is compared to that reported in 2001, RII can be seen to have increased across all ages, with the exception of individuals aged 25-34. Conclusions: The magnitude of health inequality is the greatest during mid- to late adulthood (ages 45-64). In addition, health inequalities have worsened between 2001 and 2005 across all age groups after economic crisis.

• Journal of Digital Convergence
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• v.15 no.12
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• pp.625-633
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• 2017

The purpose of this study is to investigate the effect of private insurance revenues and household spending on household income inequality. To this end, we conducted a concentration index and concentration curve analysis for the income level of medical panel survey data in 2015. The main results are as follows. First, the household income concentration ratio is 0.3580, which means that income is concentrated in the high income group, and the degree of inequality is considerably large. Second, although the portion of the private insurance benefits was small on the high-income household, it helped to strengthen the benefits concentration on this group. Third, the low income group has a large self-pay medical expense. Finally, the index of the income excluding the burden of the total medical expenses in the household income was 0.3676, so that even accounting for medical expenses, the income was concentrated in the high income class. Therefore, private insurance benefits and medical expenses were all contributing factors to the inequality of household income, and this study provides the essential materials for research and policy planning which could lead to the convergence of different fields.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.7
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• pp.55-66
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• 2021

The purpose of this study is to analyze the relationship and effects of variables both directly and indirectly (e.g., investment (INV), government expenditure (GE), unemployment rate (UR), economic growth (EG), and income inequality). The analytical phases consist, first, to transform the data using the Log Natural (Ln) method. Second, to check normality and multicollinearity of data. Third, to test direct effects of variables (government expenditure and investment effect on the unemployment rate and economic growth; investment on government expenditure; economic growth on unemployment rate; economic growth and unemployment rate on income inequality). Fourth, to test indirect effects using Sobel test, which involves UR and EG as intervening variable. Fifth, to test hypotheses with p-value < 0.05. The results of the study reveal that, of the 12 relationships, statistics show that 11 variations of the association have significant positive and negative effects. Theoretically, the different characters and goals of GE and INV in each country will have a different impact on EG and UR goals. The study provides an input, especially for the government. To create optimal EG through GE and INV, it is necessary to allocate budgets to industrial sectors that can absorb a massive labor force and to new economic growth sectors.

• Journal of the Korean Home Economics Association
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• v.41 no.5
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• pp.221-232
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• 2003

This study examined the investment in human capital of Korean urban households. Data for this study were from the 2001 Household Income and Expenditure Survey and consisted of a sample of 2,681 households. The results of Gini's concentration coefficient showed high inequality of investment in human capital. To investigate which factors influence investments in human capital, various socio-demographic variables were analysed. High investment in human capital is shown in high society indicating that they transmit the advantage of education to their descendants. The results of this study is useful for welfare professionals who work in family well-being.

• The Journal of Industrial Distribution & Business
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• v.6 no.1
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• pp.5-15
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• 2015

Purpose - This study reviews Cameroon's economic growth, crisis, and recovery, aiming to: review the principal factors of Cameroon's real economic growth; explore the causes of its economic crisis analyze the determinants of its economic recovery; and suggest appropriate policies to ameliorate economic growth. Research design, data, and methodology - By reviewing the relevant literature and economic indicators, we observed that from the 1980s to the present, Cameroon experienced all the possible business cycle phases: economic prosperity (until 1985), economic and social crisis (1986-1994), and renewed economic growth (after 1995). Results - As a result of the economic changes in Cameroon, its macroeconomic indicators have evolved. Poverty and inequality have changed in both quantitative and qualitative terms. Throughout the examined period, rural poverty has become more widespread, deeper, and more severe than urban poverty, while inequality has experienced greater increases in urban areas relative to rural zones. Conclusions -To reap maximum benefits and reduce poverty from these economic changes, Cameroon needs to liberalize trade and foreign exchange transactions to attract foreign investment, especially during the current globalization.