• 아태비즈니스연구
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• 제8권2호
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• pp.15-30
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• 2017

This study analyzes the relationship between income inequality and economic growth. Gini coefficient (market income), the deciles income inequality index and per capita real GDP were analyzed. Furthermore, various cointegration tests were tried to improve the reliability of the test results. From the weak exogeniety test of between per capita real GDP and the Gini coefficient (market income), per capita real GDP has a weak exogeneity while the Gini coefficient is endogenous. From the various cointegration tests, we found out that there is a cointegration between Gini coefficient and per capita real GDP. Moreover, it is estimated that per capita real GDP has a positive effect on the Gini coefficient (market income). In the VAR Granger causal analysis, per capita real GDP affects the Gini coefficient (market income), but it is difficult to say that the Gini coefficient (market income) always has an effect on per capita real GDP. Also, the impulse-response function of the VAR model shows that per capita real GDP temporarily reduces the Gini coefficient (market income), and then increases it over time. Accordingly, it is necessary for the policies to improve not only the distribution structure but also income distribution through economic growth.

• 유통과학연구
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• 제17권1호
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• pp.21-31
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• 2019

Purpose - As the market economy deepens, the issue of social equity caused by income distribution becomes more and more significant. Therefore, this paper attempts to exploit the determinants of income distribution in terms of macroeconomics. Research design, data, and methodology - The data set from 1990 to 2017 will be used to conduct an empirical analysis under a menu of econometric approaches such as vector autoregressive model and impulse response function. The income distribution and other macroeconomic variables such as foreign direct investment and employment will be used to conduct an empirical analysis to explore the determinants of income distribution in terms of macroeconomics. Results - The findings indicate that the income distribution is related with macroeconomics. More specifically, the export, import, GDP and foreign direct investment play a role in deteriorating the income distribution. Conversely, the industrialization, inflation and employment can improve the income distribution. Unfortunately, the inflation and employment do not get through under 5% significant test. Conclusions - Due to that a good income distribution can be beneficial for both a country and an individual, this paper provides a new scope for China's government to improve its income distribution in terms of macroeconomics.

• The Journal of Asian Finance, Economics and Business
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• 제8권4호
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• pp.613-624
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• 2021

This paper analyzes the relationship between income distribution and energy consumption from a Pareto optimal approach. For this purpose, the causality relationship between electricity consumption per capita (kWh) with respect to country groups and energy consumption per capita (kg of oil equivalent) along with gross domestic product per capita was analyzed. In addition to this purpose, a Pareto analysis was conducted to determine the countries with the highest per capita national income, how much of the world total energy they consume, and whether the law of power in the energy and electricity markets exists. Finally, the impact of official development assistance provided to low-income countries by high-income countries on the low-income countries' electricity and energy consumption was analyzed. In other words, it was questioned whether pareto redistribution policies serve the purpose or not. The Engle-Granger causality approach was used in the analysis of the causality relationship between variables. Our analysis indicated that, first, the energy data of the country groups may be inadequate in revealing income inequalities. Second, the existence of Pareto law of power and global income inequality can be explained based on energy data. Finally, Pareto optimal redistribution policies to eliminate income inequality remain inadequate in practice.

• 대한간호학회지
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• 제52권4호
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• pp.451-463
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• 2022

Purpose: This study examined the reciprocal relationships between depression and income, and gender differences in these relationships among older adults in South Korea. Methods: Using 2015 to 2019 of the Korea Welfare Panel Study (KoWePS), we studied 6,070 older adults (2,394 men and 3,676 women) aged 60 years over in 2015. The generalized estimating equation was employed to explore the effect of an individual income on depression and the reverse causal link-that of depression on income. Results: The study found the reciprocal relationships between income and depression. Income has a significant impact on depression. Higher-income was linked to decreased risks of the Center for Epidemiologic Studies Depression (CES-D) scores among older adults (B = - 0.121, p < 0.001). Estimates of the reverse causal link show that higher CES-D scores were also linked to income reduction among Korean older adults (B = - 0.007, p < 0.001). In addition, we also observed gender differences in the impact of income on depression but not in the reverse causal link. Income has more detrimental to psychological consequence for older men (B = - 0.108, p < 0.001) than older women (B = - 0.057, p < 0.001). Conclusion: The finding implies that both psychological and social protection policies for the elderly are needed in view of gender perspective.

• 한국사회복지학
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• 제64권2호
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• pp.185-212
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• 2012

본 연구는 한국노동패널 2차, 7차, 12차 자료를 활용하여 노년기로의 이행에 따른 소득불평등의 변화와 소득이동성을 분석하였다. 분석 결과는 다음과 같이 요약된다. 첫째, 비노년기에서 노년기로 이행할 때 소득불평등 수준이 증가하는 것으로 나타났다. 둘째, 비노년기에서 노년기로 이행하는 시기에 소득순위의 변동이 크게 나타나고, 노년기로의 이행이 이루어진 이후 노년후기로 갈수록 소득순위가 고착화되는 경향이 나타났다. 셋째, 노년기로 이행할 때 소득불평등 수준을 증가시키고 소득순위의 변동을 야기하는 가장 큰 요인은 근로소득의 감소이다. 이러한 분석 결과는 노년기로 이행할 때 근로소득의 감소가 소득불안정성을 야기한다는 사실을 의미한다.

• 가정과삶의질연구
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• 제33권5호
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• pp.1-24
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• 2015

The purpose of this study was to investigate the effects of Engel coefficient, Angel coefficient and Schwabe index influencing Household head's life satisfaction. For this study, the data from the 8th analysis of the 2013 Korea Welfare Panel Survey conducted by Korea Institute for Health and Social Affairs were used. For the sample, 903 male Household heads with children under the age of 18, were selected. For statistical analysis, SPSS program (Ver. 21.0) was used. And for statistical methods, frequency and percentile, mean and standard deviation, Pearson's correlation, one way analysis of variance, Duncan's multiple range tests, multiple regression analysis were used. The findings are as follows. First, as a results of analyzing the food costs, education costs and housing costs depending on Income Quintile, the food costs and education costs in the 5th Income Quintile compared with other Income Quintile, were highest. Also, the highest housing cost was in the 2nd Income Quintile, while the least housing cost was in the 1st Income Quintile. Second, by analyzing the differences of Engel coefficient, Angel coefficient and Schwabe index according to Income Quintile, the results show that Engel coefficient and Schwabe index decreases as Income Quintile increases, and Angel coefficient increases as Income Quintile becomes higher. Third, the level of HH's life satisfaction according to Income Quintile, 1st Income Quintile, 2nd Income Quintile, 4th Income Quintile, 3rd Income Quintile, 5th Income Quintile in order, increased. Fourth, as the result of analyzing the influence of Variables related to household and demographics about Engel coefficient, Angel coefficient and Schwabe index, it was shown that the variables effecting Engel coefficient, Angel coefficient, and Schwabe index are age, occupations, Number of workers, House ownership, Income Quintile. Fifth, As a result of analyzing the Variables effecting life satisfaction, especially while Schwabe index is not that significant, Engel coefficient and Angel coefficient are shown to have a significant influence. Therefore, the influence of Food costs and education costs can be confirmed.

• 한국가정과학회지
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• 제10권1호
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• pp.19-25
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• 2007

The study is attempted to help double-income families use resources efficiently and rationally by analyzing The Time Use each of working women and housewives having preschool children based on the data of The Time Use survey carried out in 2004 and promote understandings on their quality of life, lifestyle and family welfare. To this end, the study analyzes the actual The Time Use of double-income families haying preschool children. The findings of the study are as follows: First, according to the comparison of The Time Use between double-income families and single-income families in 1999 and 2004, there is no significant difference in husbands' participation time in family management or family care between 1999 and 2004. Second, according to the comparison of The Time Use between double-income families and single-income families depending on the presence or non-presence of preschool children, families haying preschool children spent much more hours in family care than families without preschool children. Third, according to the comparison of the weekend schedule between double-income families and single-income families, it is found that working women work much more than housewives not only on weekdays but also on weekends and in particular, it is found that working women having preschool children work 2 hours longer than housewives.

• Journal of the Korean Data and Information Science Society
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• 제25권6호
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• pp.1315-1331
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• 2014

소득대체율은 은퇴 전 소득 대비 은퇴 후 소득이 어느 정도 인지를 나타내는 지표로써, 사회보장제도의 급여수준이나 노후대비소득의 적정성을 논할 때 매우 유용하게 사용된다. 기존 연구들은 소득대체율 개념을 통해 은퇴시점이나 특정 은퇴기간의 은퇴소득을 진단하고 있다. 본 연구에서는 생애에 초점을 두고 생존기간에 따라 소득대체율이 어떻게 변화하는지 살펴보았으며, 생존기간에 따른 소득대체율을 하나의 지표 값으로 나타내어 분석하였다. 이를 생애소득대체율로 명명하였으며, 분석결과 3대 연금에 모두 20년 가입 시 남자의 생애소득대체율은 38.3%, 여자의 생애소득대체율은 41.1%로 예상된다.

• 농업과학연구
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• 제36권2호
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• pp.233-244
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• 2009

This study analyzed the income of orange farming of Lichuan, Jiangxi Province in China. Using a questionnaire, 36 farmhouseholds of Lichuan were surveyed. The results are as follows. First, through the investigation of Lichuan orange farming farmhouseholds, we know that the direct expenses of Lichuan orange is around 2,250 RMB/10a and the direct expenses per household's are about 32,000 RMB. The average production of Lichuan orange is 1,548 kg/10a and the income is around 2,200 RMB/10a. The results showed that in Lichuan area orange farming benefit is more than rice so orange farming has been increasing. Second, the direct expense of Lichuan orange farming, 91% is material cost, 8% is labor cost, depreciation cost is only 1.4%. This result show that orange farming in Lichuan is very labor intensive. Third, there are a lots of young orange trees in Lichuan, so income would be increasing through the year.

• Journal of the Korean Data and Information Science Society
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• 제26권3호
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• pp.755-762
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• 2015

One of the main objectives of the U.S. Census Bureau is the proper estimation of median household income for small areas. These estimates have an important role in the formulation of various governmental decisions and policies. Since direct survey estimates are available annually for each state or county, it is desirable to exploit the longitudinal trend in income observations in the estimation procedure. In this study, we consider Fay-Herriot type small area models which include time-specific random effect to accommodate any unspecified time varying income pattern. Analysis is carried out in a hierarchical Bayesian framework using Markov chain Monte Carlo methodology. We have evaluated our estimates by comparing those with the corresponding census estimates of 1999 using some commonly used comparison measures. It turns out that among three types of time-specific random effects the small area model with a time series random walk component provides estimates which are superior to both direct estimates and the Census Bureau estimates.