• Title/Summary/Keyword: GINI

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Income-Consumption and Inequality Structural Changes in the Agricultural Economy (농가경제의 소득-소비와 불평등 구조 변화 분석)

  • Ha-Young Jeong;Ye-Jin Song;Duk-Byeong Park
    • Journal of Agricultural Extension & Community Development
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    • v.30 no.4
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    • pp.229-241
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    • 2023
  • This study aims to examine the farm household income and consumption structure change as well as farm income inequality. Data from the Agricultural Household Survey for the years 2016, 2021, and 2022 were hired to analyze farm income inequality by the Gini coefficient decomposition method. Results show that from 2016 to 2021, all income quintiles exhibited an increasing trend, but in 2022, income decreased across all quintiles. As a result of analyzing farm household consumption expenditure, consumption expenditure increased in all income quintiles in 2021 and 2022 compared to 2016, but consumption of optional goods decreased in the fifth quintile. In addition, it was found that farmers in the first quartile had higher consumption expenditures and expenditures on options than those in the second quartile. The analysis of farm income by region show that public subsidies increased significantly for general rural farmers than for farmers in special and metropolitan areas in all income quintiles during the period. In the case of the first quintile, farm household income in rural areas in special and metropolitan cities increased compared to general rural areas. In the fifth quartile, agricultural income and sideline income in general rural areas increased compared to rural areas in special and metropolitan cities, while rural areas in special and metropolitan cities increased non-business income compared to rural areas. Results of farming income inequality by income type show a steady decline in inequality from 2016 to 2022, indicating that the decreasing gini coefficinet of public subsidies is contributing to the decline in farm income inequality. Private subsidies and side income are shown to increase inequality.

An Explanatory Data Analysis about the Relationship between Mortality Level and Four Indicators Relating to the Causes Mortality Decline (사망수준과 사망 원인관련 지표들 간의 관계에 대한 자료탐색 분석)

  • Lee Sung Yong
    • Korea journal of population studies
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    • v.26 no.2
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    • pp.33-62
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    • 2003
  • The purpose of this study is to analyze the relative importance of three factor -socioeconomic development, public health development, egalitarian nature of socioeconomic development- affecting mortality declines. Infant mortality rate and life expectancy at birth are used as the mortality index, that is the dependent variables, while GNP is used as the indicator of socioeconomic development, primary school enrollment ratio of female as the indicator of egalitarian nature of socioeconomic development, population per hospital bed as the indicator of public health. The data of these variables are collected two time-periods -before 1970 and during 1970-1980- over 50 countries. The explanatory data analysis is used as the statistical technique. We can find whether the relationship between dependent variable and independent variables are linear or nonlinear, and which case is the influential case in our model. The main results of this study are followings. First, the association between infant mortality rates and four indices are not linear. The most important factor explaining the variation of infant mortality is GNP, while primary enrollment of female is the second and GINI is the third important factor. However, population per hospital bed does not have a significant effect on the infant mortality rates in this study. Second, life expectancy at birth is log-linearly related to GNP. Unlike infant mortality rates, the most important factor explaining the variation of life expectance at birth is women's education and the next important factor GNP, and then the third one GINI. But, still population per hospital bed is not significantly related to the variation of life expectance in this study.

Time Series Comparison of Urben Wage Workers' Education Expenditure among Different Social Classes (도시근로자 가계의 계층별 교육비 비교 - 1979년에서 1993년을 중심으로 -)

  • Ryu, Jeong-Soon;Lee, Hee-Ja
    • Korean Journal of Human Ecology
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    • v.4 no.1
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    • pp.63-74
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    • 1995
  • Urben wage workers' education expenditure among different social classes from 1979 to 1993 has been compared. Eduction expenditure has increased much more than that of income resulting from income increase and government policy. Education expenditure gaps among social classes have showed to be an increasing trend although the ratio of education expense to the income has increased among low class families. Average income elasticity was 1.1 and this result showed that education expense was luxury good. Income elasticity of education expense among low class families have fluctuated more than any other classes resulting from construction business cycle and housing rent increase. Average Gini coefficient was 0.38 and turned out to be highest among 9 household expenditures, however it was in the trend of improvement from 81. But from 91 Gini Coefficient went up high again. Main reason for this increase was due to high social class families' eucation expenditure increase. Government's strong policies to enhance equality level of education opportunity and to support low class families are urged.

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Contribution of Principal Components Based on the Broken-Stick Model (Broken-Stick 모형에 기초한 주성분 공헌도평가)

  • Kang, Y.J.;Byun, J.H.;Ki, K.Y.
    • The Korean Journal of Applied Statistics
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    • v.23 no.4
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    • pp.767-776
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    • 2010
  • Frontier (1976) suggested a criterion based on the expected length of ordered random intervals under the Broken-stick model (Barton and David, 1956) to determine the optimal number of principal components retained. It is considered to be one of the methods that provide the most consistent simulation results (Jackson, 1993). This study is aimed to propose a method using the distribution of ordered random intervals to evaluate the contribution of principal components. We also examine several types of Gini indices along with the corresponding Lorenz curves to visualize the overall equivalence of those contributions.

A Study on the Multi Functional Administrative City and Innovation City Effect on Balanced National Development (행정중심복합도시와 혁신도시건설이 국토균형발전에 미치는 영향)

  • Kweon, Ihl;Ryu, Sang-Kyu
    • Proceedings of the Korea Contents Association Conference
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    • 2006.05a
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    • pp.75-79
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    • 2006
  • The Purpose of the study is to analyze the change of the unbalanced national development by the construction of multifunctional administrative city and innovation cities. In this study, index of unbalanced national development is measured by unbalanced distribution of population on national land. Gini's coefficient is used to measure the unbalanced distribution of population. As a result, the construction of multifunctional administrative city and innovation cities will relieve the unbalanced national development. but the effect will be insignificant. For the relief of unbalanced national development, various policy and strategy will have to develop.

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Application of multi-objective genetic algorithm for waste load allocation in a river basin (오염부하량 할당에 있어서 다목적 유전알고리즘의 적용 방법에 관한 연구)

  • Cho, Jae-Heon
    • Journal of Environmental Impact Assessment
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    • v.22 no.6
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    • pp.713-724
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    • 2013
  • In terms of waste load allocation, inequality of waste load discharge must be considered as well as economic aspects such as minimization of waste load abatement. The inequality of waste load discharge between areas was calculated with Gini coefficient and was included as one of the objective functions of the multi-objective waste load allocation. In the past, multi-objective functions were usually weighted and then transformed into a single objective optimization problem. Recently, however, due to the difficulties of applying weighting factors, multi-objective genetic algorithms (GA) that require only one execution for optimization is being developed. This study analyzes multi-objective waste load allocation using NSGA-II-aJG that applies Pareto-dominance theory and it's adaptation of jumping gene. A sensitivity analysis was conducted for the parameters that have significant influence on the solution of multi-objective GA such as population size, crossover probability, mutation probability, length of chromosome, jumping gene probability. Among the five aforementioned parameters, mutation probability turned out to be the most sensitive parameter towards the objective function of minimization of waste load abatement. Spacing and maximum spread are indexes that show the distribution and range of optimum solution, and these two values were the optimum or near optimal values for the selected parameter values to minimize waste load abatement.

A Study on Concentration and Centralization of Tonnage in Korean Shipping(A Comparative Study with Egypt)

  • Kim, Hyun-Deok;Ahn, Ki-Myung;Shin, Yong-John
    • Journal of Navigation and Port Research
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    • v.28 no.2
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    • pp.121-127
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    • 2004
  • The shipping industry can be explained by a growing process of concentration and centralization of tonnage. A few largest shipping company control a great deal of shipping tonnage in the total tonnage through the process of concentration and centralization of tonnage in shipping over time. It confirms that a decreasing number of operators take an increasing quantity of tonnage in the total tonnage. Thus, the extremely dualistic structure (extremely unequal distribution of tonnage) are shown not only in the shipping industry in a given country but also in liner shipping in the world In this paper, the two countries, that is, Korea and Egypt, are compared considering the absolute size of tonnage and shipping policy in tenn., of concentration and centralization of tonnage in shipping. In order to measure the degree of concentration of tonnage in shipping, the quantitative measurements; the Lorenz curve and Gini coefficient are introduced. But it should be supplemented with the qualitative measures of tonnage in a given country.

Factors Impacting on Income Inequality in Vietnam: GMM Model Estimation

  • NGUYEN, Hiep Quang
    • The Journal of Asian Finance, Economics and Business
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    • v.8 no.2
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    • pp.635-641
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    • 2021
  • This article analyzes the factors affecting income inequality in Vietnam, with data from 63 provinces and cities collected from the Vietnam Household Living Standards Survey of the General Statistics Office of Vietnam from 2010 to 2018. The article will firstly build a research model to identify factors affecting income inequality. Then, it uses the Generalized Method of Moments (GMM) method to evaluate the effect of factors on income inequality in Vietnam. The empirical estimate result shows that, in the period from 2010 to 2018, the factors such as the proportion of the working employees, income per capita, and inflation have positive effects on the Gini coefficient. That is, when these factors increase, there will be negative effects on improving income inequality in Vietnam. Conversely, when the factors such as the proportion of the literate adults, the proportion of the urban population, and population density increase they will have a positive impact on improving income inequality in Vietnam during this period. The estimated coefficients satisfied the sign expectation except the proportion of the literate adults. It means that, in Vietnam, the increase and more equilibrium in educational attainment balance the distribution of income and bring an improvement in income inequality.

Tax Incidence of Philippine Tax Reform: Poverty and Distributional Effect

  • DIZON, Ricardo Laurio
    • The Journal of Asian Finance, Economics and Business
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    • v.8 no.2
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    • pp.281-288
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    • 2021
  • The purpose of the study is to determine the poverty and distributional effects of the implementation of Tax Reform for Acceleration and Inclusion Law. The Computable General Equilibrium-Top Down Behavioral Microsimulation was used to obtain the effects of the tax reform on macroeconomic and microeconomic levels. Moreover, the Poverty Gap Index, Squared Poverty Gap Index, Foster, Greer, and Thorbecke Measures of Poverty, and Sen-Shorrocks-Thon Index were used to measure the poverty effect of the tax reform. Meanwhile, the Gini Coefficient and SST Gini Coefficient Index were used to measure the distributional effect of the tax reform. The results show that the implementation of the tax reform has resulted in a significant increase in household income and disposable income. Region IV has the highest estimated increase in household income. Meanwhile, Region IV remained to have the lowest household income. Further, the findings of this study suggest that the tax reform resulted in a significant decrease in the magnitude of poor and the number of poor in the Philippines. However, the result of the study also suggests that the effect of tax reform manifests no differences in terms of the poverty gap measured through the Foster, Greer, and Thorbecke poverty index due.

The Relationship Between Government Size, Economic Volatility, and Institutional Quality: Empirical Evidence from Open Economies

  • MUJAHID, Hira;ZAHUR, Hafsah;AHMAD, Syed Khalil;AYUBI, Sharique;IQBAL, Nishwa
    • The Journal of Asian Finance, Economics and Business
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    • v.9 no.5
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    • pp.19-27
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    • 2022
  • The size of the government is one of the most fundamental debates of open economies. In any economy, government plays an important role, but a pertinent level of economic prosperity has never been obtained in history without government. Therefore, the objective of this paper investigates the association of government size, economic volatility, and institutional quality for 182 economies from the time period 1996-2016 is collected from the World Bank database. GE is defined as the General government's final consumption expenditure. Health expenditure is represented by HE. Government expenditure on education is denoted by EDUEXP. The economic volatility is measured by the rolling standard deviation of GDP per capita growth rate, Population growth, Trade openness, GINI represented Gini index which measures the degree to which the income distributed or consumption expenses among citizens deviates from a perfectly equal distribution. The results proposed that economic volatility has a significant effect on government size and institutional qualities. Moreover, the paper extends the investigation by finding the link between economic volatility with government health and education expenditure separately. The policy implication drawn from this analysis is that controlling economic volatility may reduce the size of government and also significantly affect health and education expenditures.