• Journal of Korea Water Resources Association
• /
• v.54 no.12
• /
• pp.1223-1232
• /
• 2021

In this study, a new analysis method by using a "Discharge Gini Coefficient" is presented to determine the degree of inequality in daily discharge throughout the year. The Discharge Gini Coefficient can be calculated using the area relationship with the cumulative percentage of the daily mode discharge in the ascending order according to the cumulative percentage of the date of occurrence of the daily discharge throughout the year. The Discharge Gini Coefficient is presented as a value between 0 and 1, and the degree of inequality can be divided into 5 levels. The Discharge Gini Coefficient can be used to estimate the discharge stability of the downstream point relative to the upstream point. In addition, it is possible to quantify the influence of each reference discharge on the total inequality. The applicability of the Discharge Gini Coefficient was reviewed using long-term daily discharge data at eight points upstream and downstream of the four major rivers in Korea. The Discharge Gini Coefficient can also be used to analyze the discharge control effect in the downstream by the upstream dam.

• 사회경제평론
• /
• no.38
• /
• pp.9-49
• /
• 2012

Our luck is brute if we cannot choose or control it and, thus, we are not responsible for it. Our luck is optional if we can choose or control it and, thus, we are responsible for it. Egalitarian justice at least demands brute luck be fully neutralized. If, however, brute luck is not fully neutralized and possibly accumulated, what will happen to the Gini coefficients as a measure of inequality due to brute luck? By simulating brute luck under various combinations of the rate of accumulation and the level of, what I call, leximin-redistribution, I obtain the Gini coefficients for the distribution of the accumulated and, then, redistributed brute luck. The level of the leximin-redistribution determines the negative or positive relation between the rate of accumulation and the Gini coefficient. The minimum leximin-redistribution level that generates the negative relation between the rate of accumulation and the Gini coefficient, depends on the characteristics of the starting-point distribution of brute luck. The sooner the leximin-redistribution is ushered in, the lower the minimum level becomes. The so-called 'Growth First Redistribution Later' policy may hurt victims of brute bad luck.

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

• The Journal of the Acoustical Society of Korea
• /
• v.27 no.1
• /
• pp.26-32
• /
• 2008

UBSS (unde-determined blind source separation) is composed of the stages of BMMR (blind mixing matrix recovery) and BSR (blind source recovery). Generally, these two stages are executed using the sparseness of the observed data, and their performance is influenced by the accuracy of the measure of the sparseness. In this paper, as introducing the measure of the sparseness using the Gini coefficient to BSR stage, we obtained more accurate measure of the sparseness and better performance of BSR than methods using the $l_1$-norm, $l_q$-norm, and hyperbolic tangent, which was confirmed via computer simulations.

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

• Journal of Korean Society of Forest Science
• /
• v.95 no.4
• /
• pp.476-483
• /
• 2006

This study tried to estimate the concentration indices of 15 forested national parks using Gini coefficient and Lorenz curve which can be measure the degree of inequality. The concentration indices were estimated by two parts which are yearly index for the periods of 1997-2005 and travel origin area(city or province) distribution index each national park. The empirical results were as follows: first, yearly Gini coefficients showed severe inequality. Particularly, 2004 and 2005 Gini coefficients were .453 and .446. which are intensive inequality compared with other years. Second, in travel origin area distribution each national park, Gini coefficients of Bukhansan and Kyeryungsan national park were .916 and .855 which are the great inequality compared with other national parks. The other hand, Gini coefficients of Dukyusan and Byunsanbando national parks were .508 and .628 which are the lowest inequality. The national park policy manager should find out the factors of concentration and deconcentration each year and national park and decided the visitor distribution policy which visitor size and scope for balancing the natural resources use.

• Journal of the Korean Institute of Rural Architecture
• /
• v.13 no.4
• /
• pp.59-66
• /
• 2011

This study aims to understand the degree of inequality of surveyed rural amenity resources according to resources and region in basic self governing body by estimating the Gini Coefficient and Lorenz Curve. Case Study was performed in Sunchang basic self governing body which full survey of rural amenity resources was completed. The Gini Coefficient was applied to measure the concentration of amenity resources in 11 Eup-Myun regions, Sunchang county of Jeonbuk province. The results demonstrate significantly different variation according to Eup-Myun regions and amenity variables. This result would be used as a basic data for rational rural planning based on amenity resources through identifying distributional concentration of rural amenity resources in basic self governing body.

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

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

• The Journal of the Korea Contents Association
• /
• v.16 no.5
• /
• pp.591-600
• /
• 2016

This paper, in the situation of deepening poverty and worsening income inequality, aims to find the impact on income inequality of main income sources such as public income, market income and family income in the elderly and propose polices for weakening the income inequality in the elderly. Main results are as follows. First, Gini coefficients of each income sources in the elderly are total income's 0.4801, public income's 0.4071, market income's 0.6736 and family income's 0.1855. Income inequality in the elderly population is serious in the total income, public income and market income areas. Second, after excepting for public income in total income, Gini coefficient is 0.4864. after excepting for market income in total income, Gini coefficient is 0.3609. And after excepting for family income in total income, Gini coefficient is 0.5784. When market and public income are excepted from total income, Gini coefficient alleviate. Therefore, market income and public income are the major causes of income inequality in the elderly. But, family income alleviate the income inequality in the elderly. In order to alleviating the income inequality of the elderly, we must try to increasing the market income. For example, government must to supply job opportunities for the elderly of low-income.