• The Journal of Asian Finance, Economics and Business
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• v.8 no.12
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• pp.9-17
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• 2021

Globalization is an economic process responsible for the increase of interdependence of world economies. It enhances the mobility of national resources internationally via the integration of markets, trade and investments with minimal barriers to slow the flow of products and services. Although globalization has some positive impacts on the economy, it is said to be a factor in the decline of income inequality of the participating countries. However, the results of previous studies on the relationship between globalization and income inequality are inconclusive. This suggests that there are other factors influencing the relationship between the two variables. The purpose of this study is to examine the role of intelligence (IQ) in the globalization-income inequality relationship. This study employs the threshold regression technique and cross-nation observations from 117 sample nations for the period 1980-2016. The results show that the impact of globalization on income inequality in a nation relies on its IQ level. The results imply that economic globalization has a negative impact on income inequality in nations with lower IQ levels. It widens the gap between the poor and rich. While in nations with higher IQ levels, it seems to not have any significant impact on income distribution.

• The Journal of Fisheries Business Administration
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• v.54 no.2
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• pp.77-90
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• 2023

This study employed the Gini coefficient decomposition analysis to classify and examine fishery household income inequality according to income sources. The raw data from the Fisheries Economic Survey by the National Statistical Office were used for the analysis after equalization according to the recommended method of the OECD. In particular, the Gini coefficient was decomposed by classifying with and without public subsidies, and the contribution, correlation, and marginal effect by income source were presented.As a result of the analysis, the inequality of fishing income and non-fishing income of fishermen was worsening, and the inequality of transfer income was continuously easing. Among them, fisheries subsidies have been analyzed to have the greatest contribution to the Gini coefficient of gross income and the highest relative marginal effect, although distribution inequality has been alleviated. On the other hand, other subsidies, including public pensions, were found to have the opposite contribution, correlation, and marginal effect to fisheries subsidies. The results of this analysis showed that even within public subsidies, the contribution to income redistribution might differ depending on the nature of the subsidy. In addition, in the case of other public subsidies, it can be seen that the transition from selective welfare to universal welfare occurs.

• Journal of Labour Economics
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• v.36 no.3
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• pp.97-128
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• 2013

This paper analyzes the changing factors of income inequality by approaches to income sources focusing on the effect of husband-wife labor income relation and employment ratio change on income inequality. The level of contribution of income source to income inequality showed that the inequality of labor income between husband and wife(especially the husband's income) takes great importance. Also, the covariance of labor income of husband and wife showed growing trend and changed toward the same direction. As a result of the decomposition of the labor income covariance, it was found that the change in husband-wife employment ratio explained the covariance change better than the change in labor income inequality.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.2
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• pp.111-122
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• 2021

The main purpose of the present research is to analyze the effects of trade, financial globalization, and technological progress on income inequality in the Indian economy over the period from 1982 to 2018. For this purpose, the study uses economic growth, financial globalization, trade openness, technological development, and economic inequality variables with appropriate proxies. The study employs the Auto Regressive Distributed Lag (ARDL) approach to co-integration and VECM based Granger causality approach to estimate both the short-run and long-run relationship and causality among variables. Using the ARDL bounds test, the study finds a long-run co-integrating relationship existing among the variables in the model. The study confirms the existence of a positive and significant impact of technological progress on income inequality. Further, globalization's limited impact reflects two offsetting tendencies; trade globalization is associated with a reduction in income inequality, while financial globalization is related to an increase in inequality. The results of VECM based Granger causality approach further confirm that technological progress, trade, and financial globalization causes income inequality both directly and indirectly through economic growth and inflation. In case of India, the results of this research can significantly facilitate stakeholders and policymakers in devising policies towards effective globalization and technological innovation for inclusive growth.

• Journal of Digital Convergence
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• v.13 no.12
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• pp.31-39
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• 2015

This paper examines trends of the income inequality index and the income quintile share ratios, using the Household Survey released by Statistics Korea. We discuss their respective effects on total income inequality and the income disparity, as a contribution concept defined in this paper for 1990-2014 periods. Main findings are as follows. First, the contribution of 2-person families to total inequality with the current income or the disposable income becomes bigger, and growth rates have been above 10% since 2003. Second, the contribution of 1-person families to income inequality is greater than that of 2-person families. Policy implication is such that the government had better investigate the 1 or 2 person families in-depth to set up the policy measures for weakening the income inequality.

• KDI Journal of Economic Policy
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• v.25 no.2
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• pp.55-88
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• 2003

When the definition of income and the equivalence scale was applied just as it was in the LIS (Luxembourg Income Study), the adjusted disposable income inequality calculated by Gini coefficients in Korea was 0.358 for the year 2000. Compare to the 1996 figure of 0.298 the increase of income inequality has skyrocketed. In addition, the adjusted market income inequality increased from 0.302 in 1996 to 0.374 in 2000. The disposable income inequality ranked the third and the market income inequality ranked at the mid level in 2000 among OECD countries. One significant finding in this paper was that the difference between the disposable income inequality and market income inequality in Korea is very small compared to those of other OECD countries. The relative poverty ratio, which is calculated by using 40% of the medium income bracket of the disposable income was calculated at 7.6% in 1996 and 11.5% in 2000. The poverty ratio in 2000 for Korea ranked one of the highest in OECD countries, also.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.10
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• pp.571-579
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• 2020

This paper examines how human capital and other economic variables, such as private investment, economic growth, government investment, inflation, and unemployment influence inequality in Indonesia's provinces. We apply panel data model with fixed effect estimation for the data of 34 provinces from the period 2013 to 2019. We develop a new index for human capital using the education index approach. The results show that human capital has a negative and significant effect on income inequality. An increase in human capital is related to an increase in knowledge and competence due to the longer average school year and expectations of the school year. Human capital has increased the possibility of a person being accepted into the job market and earning a higher income; hence, it lowers income inequality. We also find that inflation leads to a higher gap of income distribution. A further implication of this situation is that the rise in inflation causes an increase in low-income people, and as a consequence, makes their lives worse off. This paper will be beneficial for policy-makers for whom human capital, which is measured using an education index, is an important factor that significantly affects income inequality, in addition to other economic factors.

• Journal of Korean Society of Forest Science
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• v.108 no.3
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• pp.392-404
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• 2019

The purpose of this study was to identify the impact of various income sources on income inequality of forestry households. Data from the Forestry Household Economy Survey from 2013-2016 were analyzed using the Gini coefficient decomposition method via income source. In particular, the income inequality analysis of forestry households was broken down into separate analyses based on group, i.e., the whole of forestry households and the five income quintile classes. The results of the analyses showed that income inequality of forestry households is primarily affected by forestry and nonforestry incomes and income quintile class. Moreover, income inequality of the highest income quintile class was largely affected by forestry income compared with other sources of income, whereas that of other income quintile classes was largely affected by nonforestry income. Therefore, in order to reduce income inequality in forestry households, it is necessary to increase the proportion of forestry income in the lower four quintile classes. Given that the income of the lowest quintile class is negative, it is necessary to devise ways to improve the proportion and quantity of forestry income. At the same time, as forestry income increases, a policy alternative is also required to improve inequality in forestry income.

• Korean Journal of Social Welfare
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• v.61 no.2
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• pp.391-415
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• 2009

The purpose of this study is to examine the trends of income inequality by gender since 1997 economic crisis and to investigate what is the most influential factor on these changes for males and females. Data used for this study are nine waves of Korean Labor and Income Panel Study(KLIPS). Income inequality is measured by the Gini coefficient and the mean logarithmic deviation(MLD) and the MLDs are decomposed into three components to quantify within- and between-group inequalities. The results show that the extent of income inequality is greater for women during the whole period and is fluctuated more widely. Women's income inequality is mainly affected by the family-related variables, such as age and marital status, while men's inequality is primarily determined by the labor market factors, such as employment status, industrial types and occupation status. These results imply that gender-sensetive welfare policies need to be implemented and that it is necessary to assist the poor women and men through the benefits from the income assistance programs and labor market programs.

• Korea Trade Review
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• v.42 no.6
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• pp.51-67
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• 2017

This study analyzes the relationship between globalization and income inequality. The empirical model is developed based on Kuznets' hypothesis of the inverse U curve. The effects of factor abundancy and globalization which is characterized by trade and FDI on income inequality are analyzed. 127 member countries of WTO are classified into 4 groups according to GNI. The period of analysis is 21 years from 1995 to 2015. Results show that 3 groups of countries excluding one group that is high income countries supports Kuznets' hypothesis which is the inverse U curve. Secondly, expansion of trade decreases income inequality of middle income countries but increases high and low income countries. Thirdly, FDI increases income inequality of middle and low income countries. Finally, the increase in capital abundancy lowers income inequality because the capital accumulation increases the productivity of labor.