• Forest Science and Technology
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• v.14 no.4
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• pp.192-203
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• 2018

This study analyzed the distribution of forest income and other variable sources of rural household income and considered their importance for the reduction of income inequality and poverty. We employed Gini decomposition to measure the contribution of forest income and other sources of income to income equality and assess whether they were inequality-increasing or inequality-decreasing in the 14 villages. The forest income Gini correlation with total income was very high, $R_k=0.6960$, and the forest income share of total rural household income was 35% ($S_k=0.3570$). If the income earned from forest activities was removed, the Gini index would increase by 10.3%. Thus, if people could not access forest resources because of vast deforestation, perhaps from the limitations of government-managed forestry, unplanned clearing of forest land for agriculture or the granting of ELCs, there would be an increase in income inequality and poverty among rural households. The findings suggest that policy makers should look beyond agriculture for rural development, as forest resources provide meaningful subsistence income and perhaps contribute to both preventing and reducing poverty and inequality in rural communities. The study found that non-farm activities were inequality-increasing sources of income. The share of non-farm income to the total rural household income was $S_k=0.1290$ and the Gini index of non-farm income was very high, $G_k=0.8780$, compared with forest and farm income. This disagrees with other studies which have reported that non-farm income was inequality-decreasing for the rural poor.

• Korean Journal of Social Welfare Studies
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• v.41 no.1
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• pp.65-84
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• 2010

The purpose of Inequality Index Decomposition is to know the cause of overall inequality through decomposing aggregate inequality index into relevant components. Previous studies have mostly focused on the absolute contribution meaning that how much each component possesses out of overall inequality. However it could be more important to know the marginal contribution and inequality effect of each component in order to implement policies reducing overall inequality effectively. For this, we decomposed Gini Coefficient as representative inequality index into income sources or social welfare programs and calculated each Gini Income Elasticity(GIE). Analysis result says that regular employee income and employer(or the self-employed) income, of which GIE are 1.205 and 1.867, are classified as inequality-increasing income source. GIE can be one of good methods to analyse the inequality effect of various income sources and social welfare programs.

• Journal of Preventive Medicine and Public Health
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• v.20 no.2 s.22
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• pp.301-311
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• 1987

The purpose of this study is to analyze degree of geographic maldistribution of physicians and changes in the distributional pattern in Korea over the years 1980-1985. In assessing the degree of disparity in physician distribution and in identifying changes in the distributional pattern, the Gini index of concentration was used. The geographical units selected for computation of the Gini index in this analysis are districts (Gu), cities (Si), and counties (Gun). Locational data for 1980 and 1985 were obtained from the population census data in the Economic Planning Board and regular reports of physicians in the Korean Medical Association. The rates of physicians located counties to whole physicaians were 10.4% in 1980 and 9.6% in 1985. In term of the ratio of physicians per 100,000 population, rural area had 9.18 physicians in 1980 and 12.95 in 1985, 7.13 general practitioner in 1980 and 7.29 in 1955, and 2.05 specialists in 1980 and 5.66 in 1985. Only specialists of genral surgery and preventive medicine were distributed over 10% in county and distribution of every specialists except chest surgery in county increased in 1955, comparing with that rates of 1980. The Gini index computed to measure inequality of physician distribution in 1985 indicate as follows; physicians 0.3466, general practitioners 0.5479, and specialists 0.5092. But the Gini index for physicians and specialists fell -15.40% and -10.42% from 1980 to 1985, indication more even distribution. The changes in the Gini index over the period for specialists from 0.3639 to 0.4542 for districts, from 0.2510 to 0.1949 for cities, and 0.5303 to 0.5868 for counties indicate distributional change of 24.81%, -22.35%, and 10.65% respectively. The Gini indices for specialists of neuro-surgery, chest surgery, plastic surgery, ophthalmology, tuberculosis, preventive medicine, and anatomical pathology in 1985 were higher than Gini indices in 1980.

• The Journal of the Korea Contents Association
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• v.16 no.8
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• pp.366-375
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• 2016

This study evaluates the degree of the inequality of medical care expenditure and private health insurance benefits and the relation with household income inequality in korea health care system. This study used the 2014 korea Health Panel survey, and study method is Gini coefficient. The main results are as follow. First, average household income in 1st income quartile is 6,290,000won and 10st income quartile is 101,930,000won. And Gini coefficient of Korea household income is 0.3756. In other words, family income inequality is quite serious. Second, the Gini coefficient of the public institution supported medical care expenditure, such as health insurance and public assistance, is 0.0761, and the Gini coefficient of the expenditure of transportation fee and medical materials etc that don't supported is 0878. The inequality in medical care expenditure in public health care system and without public support aren't serious all. Third, Gini coefficient in excluding household medical care expenditure from household income slightly increased. That is, the medical care expenditure of our country household is the factor of aggravating the inequality of household income. Fourth, Gini coefficient of private health insurance benefits is 0.0927. Therefore, the ineqality in private insurance benefits is low. In addition, the Gini coefficient of the sum of private insurance benefits and household income is 0.3672. it decrease from Gini coefficient(0.3756) of household's. Private health insurance perform the functions somewhat weaken household income inequality. However, it is very little improvement.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.31 no.4
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• pp.29-47
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• 2020

This study uses Gini coefficient to index the inequality of academic information resource among universities to identify the areas where the gap is extremely severe, and analyzes the Gini coefficient over time for 10 years to show how the gap is changing. In addition, the degree and characteristics of the gap appearing by type of universities such as metropolitan universities, local national universities, private universities, and colleges were also compared. As a result, first, the university library academic information infrastructure showed a severe level of disparity (0.6 - 0.9), and the inequality was more severe in serials, electronic resources, and reference service. Even when the relative Gini coefficient was calculated considering the number of students, the inequality was over 0.4 in serial etc. Second, the Gini coefficient trend over the last decade shows that the inequality has decreased toward equality in the re-education time of employees and electronic information resources, but not in other sectors. Third, it was found that special universities and universities in the metropolitan area showed a large gap between universities of the same kind, and local national universities showed the best gap level as well as the best academic information infrastructure.

• 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.

• The Journal of the Korea Contents Association
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• v.20 no.6
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• pp.392-405
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• 2020

The aim of this study is to investigate the effects of income inequality on consumption expenditure in other to understand income-led growth policy. This is basically resulted in the income inequality had gotten worse since global financial crisis in many economies. Malthusian hypothesis which signifies the relationship between the income inequality and the consumption expenditure revisited for this purpose. The paper utilizes multiple break points regression and TGARCH model, and these methodologies are tentatively applied to the case of U.S and U.K. This is because that long-run time series data enables to formulate a stylized fact in general. Empirical evidence suggests that there does not exist a solid relationship among APC, income inequality by Gini coefficient, and consumption expenditure before the year of 2000, but Malthusian hypothesis is supported by weak basis in U.S while strong basis in U.K after since then. It implies that the income inequality has to be alleviated to maximize its effectiveness of the income-led growth policy.

• Journal of the Korean Home Economics Association
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• v.36 no.10
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• pp.179-196
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• 1998

The purpose of this study was to analyze the financial status of Korean elderly households to make a financial plan for retirement preparation. The sample obtained from 1997 KHPS, consisted of 326 households of 55-64 aged and 210 households of 65 and over aged. Statistics employed for the analysis were frequencies, percentile, univariate analysis and logistic analysis. And Lorenz curve and Gini coefficient were used to compare the financial status. The results could be summarized as follows. First, total income, total expenditure, total debt and net worth of 55-64 aged group were higher than those of 65 and over group, while total asset of 55-64 aged group was similar to 65 and over group's Second, total expediture to total imcome ratio(R1) and total asset to total debt ratio(R4) of 55-64 aged group were higher than 65 and over group's, but net worth to minimum cost of living ratio(R2) and financial asset to monthly expenditure ratio(R3) of 65 and over group were higher than 55-64 aged group's . Third, R4's Gini coefficient was the highest and R1's Gini coefficient was the lowest among all Gini coefficients. Also, R1's and R4's Gini coefficients of 55-64 aged group were greater than 65 and over group's. ourth, variables affecting R1's stability of 55-64 aged group were household head's age, educatonal attainment and family type, while those of 65 and over group were household head's age, past economic experience and the number of children. There was no significant variable affecting R2's stability of 55-64 aged group, but there was only household head's pst economic experience affecting those of 65 and over group. The variable contributing to R3's stability of 55-64 aged group was residence while the variables of 65 and over group were household head's educational attainment, past economic experience and the number of children. The variables contributing to R4's stability of 55-64 aged group were the number of children and residence, and the number of children was one variable of contributing to R4's stability of 65 and over aged group.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.31 no.1
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• pp.237-255
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• 2020

Pareto principle states that, for many events, roughly 80% of the effects come from 20% of the causes. This study clarified if there is Pareto principle in Korean universities' academic information resource sharing network and calculates the Gini efficient about inequality in sharing academic resources. As a result, top 20% libraries led 80% of performance and inequality degree showed 0.8 as very serious condition. Relative Gini efficient which is recalculated considering scale of each libraries stay 0.7 that is adjusted slightly down. It means that such phenomenon is not caused by the difference of each universities scale with high contribution of big university and low contribution of small university. And in comparison of inequality between university's types, inequality between community colleges and private universities is more serious than four-year-course college and national university respectfully. Finally, as a result of visualizing the distribution of participating libraries, there were libraries with overwhelming contributions, and libraries with small but relatively high contribution levels were also distributed.

• Korean Journal of Labor Studies
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• v.23 no.2
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• pp.47-77
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• 2017

This paper analyzes the changes in wage inequality and its contributing factors since the mid-2000s. Although trends vary by data and wage indices, the Gini coefficient of the total wage of all workers shows an increasing trend due to the part-time increase of less than 35 hours per week, while the wage Gini coefficient of hourly wages and the total wage Gini coefficient of full-time workers showed a declining trend. Part-time increases have increased inequality based on total wages, but part-time hourly wage increases can be considered to have reduced hourly wage inequality. Therefore, as a result of decomposing the factor of Gini coefficient reduction only for full-time workers, factors that contributed absolutely to inequality reduction were variables such as job tenure, career, and occupation, and employment type variable has little effects, and the establishment size variable deepens inequality. The variables such as industry, age, and education did not contribute significantly to the inequality change. This is attributed to the decline in wage premiums for job tenure and management and professional jobs and the increase in wage premiums for large-scale businesses.