• 대한가정학회지
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• 제37권2호
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• pp.127-144
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• 1999

The purposes of this study were to identify the housing maintenance cost, imputed rent fee and total housing cost of households living in rental house, to analyze the factors related to their housing maintenance cost, imputed rent fee and total housing cost and to investigate the factors contributing to total housing cost to total household income ratio. The data used for these purposes, was 97 KHPS of Daewoo Economic Research Institute. Sample size of households living in rental house, was 663. Statistics performed for the analysis were frequencies, percentiles, t-test, Lorenz cutie and Gini coefficient, Tobit analysis, OLS and Logistic analysis. The results of this study were as fellows: First, monthly cost of monthly rent & maintenance and repairs of households living in rental house with a deposit was lower than rental house, while the imputed rent fee of households living rental house with a deposit was higher than monthly rent households'And, total housing cost of households living in rental house with a deposit was higher than monthly rent households'. Second, Gini coefficient of the housing maintenance cost was 0.440, Gini coefficient of imputed rent fee was 0.362, and Gini coefficient of total housing cost was 0.291. Third, the variables related to their housing maintenance cost were family type, total household expenditure of socio-demographic characteristics and residence, type of rent, housing type of housing environmental factor. Also, the variables contributing to imputed rent fee were job type and educational attainment of household hearts, the number of family members, total household expenditure, residence, type of rent, housing type and tole number of rooms. In addition, the variables associated with total housing cost were job type and educational attainment of household head, total household income and residence, type of rent, housing type and the number of room. Finally, age, job type, educational attainment of household head, wife's employment status, the number of family members, family type, total household expenditure, residence, rent type of rent, housing type, the size of living space, and the number of room were significant variables contributing to total household cost to total household income ratio.

• 한국항만경제학회지
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• 제20권1호
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• pp.1-20
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• 2004

The purpose of this paper is to analyze the degree of cargo concentration at Korean ports using Theil's Entropy and to compare the results with those of Gini coefficient, Hoyle(1983), and Hirshmann-Herfindahl models. The entropy indices were compared with other models after measuring the cargo concentration for the period of 1981-2000 among the 18 Korean ports. The core results of empirical analysis are as follows: first, the empirical results of entropy indices show the following trends: all the ports(concentration except 1996's slight deconcentration), ports in Western area(deconcentration in 1990s and slight concentration in 2000), ports in Southern area(deconcentration in 1980s and 1990s except concentration in 2000), and ports in Eastern area(continuous trends of concentration). However, competition power will be decreased if concentration is increased, because of the character of entropy index. The empirical results of 4 indices except Hoyle model show the comparatively same directions in terms of trends. This study found out the similar results among the following models: All the ports(entropy index & Gini coefficient & H-H model), ports in Western area(Entropy index &Hoyle model), ports in Southern area(Entropy index & Gini coefficient), and ports in Eastern area(Entropy index & H-H index).The policy planner of Korean ports should find out the determination factors of concentration and deconcentration of each ports and decide the investment priority, size and scope for balancing the development of regional ports.

• Communications for Statistical Applications and Methods
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• 제25권4호
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• pp.373-383
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• 2018

The spatial scan statistic is a widely used method to detect spatial clusters. The method imposes a large number of scanning windows with pre-defined shapes and varying sizes on the entire study region. The likelihood ratio test statistic comparing inside versus outside each window is then calculated and the window with the maximum value of test statistic becomes the most likely cluster. The results of cluster detection respond sensitively to the shape and the maximum size of scanning windows. The shape of scanning window has been extensively studied; however, there has been relatively little attention on the maximum scanning window size (MSWS) or maximum reported cluster size (MRCS). The Gini coefficient has recently been proposed by Han et al. (International Journal of Health Geographics, 15, 27, 2016) as a powerful tool to determine the optimal value of MRCS for the Poisson-based spatial scan statistic. In this paper, we apply the Gini coefficient to normal-based spatial scan statistics. Through a simulation study, we evaluate the performance of the proposed method. We illustrate the method using a real data example of female colorectal cancer incidence rates in South Korea for the year 2009.

• 수산경영론집
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• 제39권3호
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• pp.25-47
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• 2008

The Fishing Communities (so-called Uchongae) in Korea was legally established in 1962. It has been gradually expanded by quantity, and we have total 1,969 communities in 2006. The major establishment purpose of Uchongae was put 2 functions. The first function is to make up the double industry structure in coastal region, and second function is to make economical condition for Uchongae. Nevertheless the Fishing Communities System in Korea was not successfully developed after first beginning. The Income gap have become heavily between fishing area and non - fishing area, including agricultural area. The income gap has been due to rapid industrialization and urbanization in Korea. And the income gap even have become heavily among Uchongaes. In this paper, It have been researched the degree of Income inequality among Uchongaes in Korea during 1986-2006. The income inequality degree was analyzed by Gini coefficient and Mean Log Deviation (MLD) using Lorenz Curve. According to analysis result, the Gini coefficient of Uchongaes in Korea has been about 2-times high from 0.0847 to 0.1770 during 20 years. And the MLD has been 5.4 times from 0.0125 to 0.0679 during same periods. This means to more wide the general Income Inequality among the Uchongaes in Korea. Especially, It means to more wide the gap of high ranking Uchongaes and low ranking Uchongaes that MLD index multiplier has been more high.

• 한국비블리아학회지
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• 제31권1호
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• pp.237-255
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• 2020

사회 현상 곳곳에서 나타나고 있는 파레토 법칙(Pareto principle)은 상위 20%가 전체 성과의 80%를 차지한다는 법칙이다. 본 연구에서는 대학도서관 학술정보 공유 협력체에서도 파레토 법칙이 발견되고 있는지 확인하였으며, 더불어 지니계수(Gini coefficient)를 통해 대학 간에 나타나는 학술정보 공유 기여 정도에 대한 격차를 수치로 산출하였다. 그 결과 학술정보 공유 협력 사업에서 상위 20%의 대학도서관이 81.2% 이상의 실적을 주도하고 있었으며, 정보 기여에 대한 격차는 평균 0.78로 매우 심각한 상태를 나타냈다. 대학도서관의 규모를 감안하여 재계산한 지니계수도 일부 사업에서만 균등한 쪽으로 조금 조정되는 양상을 나타냈다. 대학의 형태에 따라서는 전문대학도서관 간의 격차가 4년제 대학도서관보다 극심하였으며, 국립대학도서관보다는 사립대학도서관간의 격차가 더욱 심각한 것으로 나타났다. 마지막으로 도서관의 규모와 학술정보 기여 정도에 따라 참여도서관의 분포를 시각화한 결과, 압도적인 기여 수준을 보이는 대규모 도서관이 존재하였으며, 도서관의 규모는 작지만 상대적으로 높은 기여 수준을 보이는 도서관도 분포하였다.

• 한국콘텐츠학회논문지
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• 제16권5호
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• pp.591-600
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• 2016

본 연구는 노인빈곤의 심화와 함께 노인 소득불평등 악화가 우려되는 상황에서 공적소득, 시장소득, 가족 소득 등 주요 노인소득원이 소득불평등에 미치는 영향을 확인하여 노인 간 소득불평등을 완화하기 위한 정책방안을 제안하는데 목적이 있다. 주요 분석결과는 다음과 같다. 첫째, 노인 소득원별 불평등 정도를 파악하기 위해 지니계수를 산출한 결과 전체소득 0.4809, 공적소득 0.4701, 시장소득 0.6735, 가족소득 0.1855로 나타났다. 한국 노인의 소득집단에 따른 소득원별 불평등 정도는 시장소득이 가장 크고 전체소득, 공적 소득도 매우 큰 것이다. 둘째, 노인 소득원이 소득불평등에 미치는 영향을 확인하기 위하여 전체소득에서 공적소득, 가족소득, 시장소득을 각각 제외한 소득의 지니계수를 산출한 결과 전체소득에서 공적소득을 제외한 지니계수 0.4864, 가족소득을 제외한 지니계수 0.5784, 시장소득을 제외한 지니계수 0.3609로 나타났다. 전체소득에서 제외한 소득의 지니계수가 전체소득 지니계수보다 약간 증가한 공적소득은 노인 소득불평등 완화효과가 매우 미미한 반면에 전체소득에서 제외한 소득의 지니계수가 전체소득 지니계수보다 매우 커진 가족소득은 노인 소득불평등 완화효과가 큰 것으로 나타났다. 반면에 제외한 소득의 지니계수가 전체 소득 지니계수보다 크게 낮아진 시장소득은 노인 소득불평등의 큰 원인이었다. 현재의 노인 소득불평등을 완화하기 위해서는 저소득층 노인을 대상으로 일자리를 제공하는 등 노인의 시장소득을 올릴 수 있는 기회를 적극적으로 제공해야 할 것이다.

• 가정과삶의질연구
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• 제14권3호
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• pp.223-236
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• 1996

The purpose of this study was to compare the financial status between Aged Households and Non-aged households. The sample obtained from 1993 KHPS, consisted of 3,425 Korean married couples including 2,915 of non-aged households and 510 aged households. Statistics employed for the analysis were frequencies percentile and t-test And Lorenz curve and Gini coefficient were used to compare the financial status of two groups. The results of this study were as follows. First financial status of aged households specially annual total income annual current income earned income and annual total expenditure were lower than those of non-aged households. Second Gini-coefficients of aged households' income and expenditure were greater than expenditure of them. Moreover Gini-coefficients of aged households' total asset and total debt were greater than those of non-aged households' However total asset of aged and non-aged households were smaller than total debt of two groups.

• KDI Journal of Economic Policy
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• 제29권3호
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• pp.1-28
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• 2007

본고의 분석 결과 지니계수와 양극화지수가 이론적으로는 상이하나, 실증적으로는, 상관관계를 통해서 볼 때, 다른 지수라 보기 어렵다는 점이 확인되었다. 또한 DER지수의 추정을 통해 한국소득분포의 극화를 추정한 결과도 외환위기 전후로 소득분포의 극화가 지니계수로 측정되는 소득불평등도보다 심화되었다고 여길 수 없음이 확인되었다.

• 대한가정학회지
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• 제40권9호
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• pp.143-159
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• 2002

This study investigates inequality of the private educational expenditure using the Family Expenditure Survey of 1990, 1996, 1998, and 2000. The major results are: first, inequality of the private educational expenditure has been relived between 1990 and 2000; second, despite decrease in household income right after the Korean economic crisis, the private educational expenditure has been increased in the households having middle and high school students; third, the gaps in the private educational expenditure between income groups are mainly due to the differences in the spending levels of the private education rather than differences in the percentages of households who spend any in the private education; fourth, in 2000, the gini coefficient of the private educational expenditure among households having elementary school student is 0.4832, and 0.6468 among households having middle and high school students; fifth, 30% of the households having middle and high school students who show the highest level of the private educational expenditure occupy 80% of the total private educational expenditure made by the whole households.

• Journal of Smart Tourism
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• 제2권3호
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• pp.17-30
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• 2022

The tourism sector of the Maldives has seen rapid growth since its inception in 1972. One significant development is the transformation of the market composition in recent years. China has surpassed traditional European markets as the single largest source market. In this regard, this study seeks to assess the seasonality in the Maldivian tourism sector using a monthly dataset of visitor arrivals from 2003 to 2019. The seasonality ratio, the seasonality indicator, the Gini coefficient and the seasonal index were used to examine the seasonality patterns. The results of this study show that there are three distinct peaks (January to April, August, and November to December) and two off-peaks (May to July and September) periods. The findings also reveal that the rise of the Chinese market has significantly lessened the seasonality of Maldivian inbound tourism. Finally, some important implications are discussed.