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Статті в журналах з теми "Income coefficient"

Автор: Grafiati

Опубліковано: 3 червня 2025

Оновлено: 31 липня 2025

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1

Pugachev, A. A. "Designing Income Taxation to Reduce Income Inequality in Russia: A Modeling Approach." Journal of Tax Reform 10, no. 2 (2024): 381–96. http://dx.doi.org/10.15826/jtr.2024.10.2.174.

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This study explores the possibility of adjusting income tax parameters to achieve a specific level of income inequality in Russia. The hypothesis is that by altering the personal income tax design, it is possible to reduce income inequality to a specified level, as measured by the Gini coefficient. Key parameters include the maximum progressive tax rate, the lower income threshold for increased rates, and the tax-free allowance (either differentiated or universal). To test this hypothesis, I modeled income inequality reduction using the Gini coefficient. The procedure involved optimizing incom

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2

Przekota, Grzegorz. "Wybrane koncepcje pomiaru nierówności dochodowych." Nierówności społeczne a wzrost gospodarczy 66, no. 2 (2021): 16–32. http://dx.doi.org/10.15584/nsawg.2021.2.2.

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Determining the level of income inequality requires the adoption of a specific measurement methodology. The aim of the study was to review and discuss the methodologies used to measure income inequality. Four measures are presented, each based on different assumptions. These measures were the Gini coefficient, Theil coefficient, Kukuła coefficient and unevenness coefficient. The first three measures, and in particular the Gini coefficient, are commonly described in the literature, while the unevenness coefficient is the author’s proposal for measuring income inequality. The empirical material

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3

Zhao, Xiaomeng, and Lin Liu. "Income Gap Equalization Based on PSO Algorithm in Edge Computing Environment." Journal of Environmental and Public Health 2022 (August 10, 2022): 1–12. http://dx.doi.org/10.1155/2022/8316982.

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In order to explore the current income gap, a method based on the PSO algorithm in the edge computing environment is proposed. PSO calculates and simulates bird flock foraging activities, the Frank Heppner biological group model, and the three rules in bird activities. After studying the activities of these natural creatures, abstract problems are quantified and similar models established. The Gini coefficient is calculated by using grouped data, and the grouping basis is also innovative. The quantile grouping method is adopted, which can effectively solve the difference between the concentrat

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4

Luptáčik, Mikuláš, and Eduard Nežinský. "Measuring income inequalities beyond the Gini coefficient." Central European Journal of Operations Research 28, no. 2 (2019): 561–78. http://dx.doi.org/10.1007/s10100-019-00662-9.

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AbstractGrowing interest in the analysis of interrelationships between income distribution and economic growth has recently stimulated new theoretical and empirical research. Measures such as the head-count ratio for the poverty index or the widely used Gini coefficient are aggregated indicators describing the general extent of inequality without deeper insights into income distribution among households. To derive an indicator accounting for income distribution among income groups, we propose a new approach based on an output oriented DEA model where the input value is unitized to 1 for each c

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5

KITOV, Ivan. "ESTIMATES OF INCOME INEQUALITY ARE BIASED OR MISINTERPRETED." Theoretical and Practical Research in the Economic Fields 5, no. 2 (2014): 142. http://dx.doi.org/10.14505/tpref.v5.2(10).02.

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We considerdefinitions and measuring procedures of personal income used by three U.S. agencies as well as the evolution of household size distribution and reveal major quantitative inconsistencies in the reported figures of personal and household inequality. The problem with the inequality estimates reported by the Internal Revenue Service consists in the changing proportion of people with lower incomes. The increasing proportion of low-income population is misinterpreted as the growth in income inequality. The Census Bureau provides personal income distributions scaled from a small subset of

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6

Averina, O. V. "GENERAL TRENDS IN CHANGING THE STRUCTURE AND DYNAMICS OF THE POPULATION MONETARY INCOME AT SUBJECTS OF THE FAR EASTERN FEDERAL." Regional problems 27, no. 4 (2024): 79–92. https://doi.org/10.31433/2618-9593-2024-27-4-79-92.

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The author analyzes the structure and dynamics of the population monetary income at subjects of the Far Eastern Federal District and outlines general trends in their change over the past 7 years, based on the Federal State Statistics Service (Rosstat) statistical data, information from the Federal subjects executive authorities, and on expert assessments. Monetary income is the most important part of the population life standards, being one of the life quality main indicators, providing daily needs of the population, its economic well-being and, in this way, the efficiency of the economy. The

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7

CHEN, CHAU-NAN, TIEN-WANG TSAUR, and TONG-SHIENG RHAI. "THE GINI COEFFICIENT AND NEGATIVE INCOME: REPLY." Oxford Economic Papers 37, no. 3 (1985): 527–28. http://dx.doi.org/10.1093/oxfordjournals.oep.a041708.

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8

Dr., Ogbonna Udochukwu Godfrey. "The Effect of Non-Interest Income on the Performance of Selected Deposit Money Banks in Nigeria." Journal of Economics, Finance And Management Studies 4, no. 10 (2021): 1981–90. https://doi.org/10.47191/jefms/v4-i10-21.

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This paper investigated the effect of non-interest Income on the performance of 6 selected deposit money banks in Nigeria, between 2015 to 2019. A panel regression model was used to determine the effect of non-interest income of the DMBs’ profitability. The variables used are: fee income, commission income, e-income, and foreign transaction income which also influence the profitability of banks were considered in the model for the study using Tobin-Q as the independent variable. The analyses was done using a panel regression model on the EViews 10+ software. The coefficients reveal that

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9

Šoltés, Erik, Małgorzata Gawrycka, Anna Szymczak, and Marta Kuc-Czarnecka. "Labour share and income inequalities in the European Union, taking into account the level of development of economies." Equilibrium. Quarterly Journal of Economics and Economic Policy 18, no. 4 (2023): 941–65. http://dx.doi.org/10.24136/eq.2023.030.

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Research background: The relationship between labour share and income inequality is a complex and multifaceted problem. Despite ongoing discussions among economists, there is still no consensus on the direction of the relationship between labour share and income inequality. Purpose of the article: The article aims to assess the impact of labour share on income inequality, which is measured in three ways: the Gini index of gross income, the Gini index of market incomes, and the Gini index of household disposable income. Methods: Dynamic panel data models were applied to estimate the relationshi

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10

Thuat Pham, Trong, and Thanh Thuy Cu. "Impact of urbanization on people’s income and proposing new livelihood strategies for people in urban areas." Problems and Perspectives in Management 22, no. 2 (2024): 114–23. http://dx.doi.org/10.21511/ppm.22(2).2024.10.

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This study was undertaken to examine the effects of urbanization on the income of people in Vietnam. The research utilized data from a survey of 597 people who were impacted by urbanization in Vietnam. Research methods included: (i) The T-test difference test method, which is a method used to examine the influence of urbanization on people’s income by comparing the income differential between persons in urban regions and those in rural ones; (ii) The least squares method was used to quantify the impact of various factors on the income of people in the study area. The study concludes that peopl

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11

Cho, Taek Hee, and Min Ki Bae. "Determinants of Regional Subjective Health Levels and Health Inequalities: Focus on Chungbuk Province." Crisis and Emergency Management: Theory and Praxis 17, no. 11 (2021): 1–16. http://dx.doi.org/10.14251/crisisonomy.2021.17.11.1.

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This study aims to measure the health level and health inequality of local residents at the basic local level and analyze their determinants. EQ-5D, which is used as an indicator of subjective health status, is calculated through the “Local Social Health Survey” data and measures health inequality through the Gini coefficient. Analysis of local health and health inequity determinants using t-tst, ANOVA, multiple regression analysis, correlation coefficients. The index showed that men were higher than women, while younger and higher-income people were higher. In higher education than in lower e

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12

Allen, Edward. "Relation Between Two Income Inequality Measures: The Gini coefficient and the Robin Hood Index." WSEAS TRANSACTIONS ON BUSINESS AND ECONOMICS 19 (March 8, 2022): 760–70. http://dx.doi.org/10.37394/23207.2022.19.67.

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The objective of this investigation is to study the relation between two common measures of income inequality, the Gini coefficient and the Robin Hood index. An approximate formula for the Robin Hood index in terms of the Gini coefficient is developed from 100,000 Lorenz curves that are randomly generated based on 100 twenty-parameter families of income distributions. The approximate formula is tested against Robin Hood indexes of commonly-used one-parameter Lorenz curves, income data of several countries, and reported results of Robin Hood indexes. The approximate formula is also tested again

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13

BERREBI, Z. M., and JACQUES SILBER. "THE GINI COEFFICIENT AND NEGATIVE INCOME: A COMMENT." Oxford Economic Papers 37, no. 3 (1985): 525–26. http://dx.doi.org/10.1093/oxfordjournals.oep.a041707.

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14

Lundberg, Alexander L., Kim P. Huynh, and David T. Jacho-Chávez. "Income and Democracy: A Smooth Varying Coefficient Redux." Journal of Applied Econometrics 32, no. 3 (2016): 719–24. http://dx.doi.org/10.1002/jae.2536.

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15

Chen, Tingqiang, Jinnan Pan, Yuanping He, and Jining Wang. "Evolutionary Game Model of Integrating Health and Care Services for Elder People." Complexity 2020 (July 7, 2020): 1–13. http://dx.doi.org/10.1155/2020/5846794.

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With the background of aging, ensuring the deep integration of pension and medical services and effectively integrating pension resources and medical resources are hot issues that must be addressed in the current mode of integrating health and care services for older people. Thus, we use game theory to construct the utility model of resource allocation between pension and medical institutions. We apply this model to explore how pension institutions and medical institutions invest resources into the integration of health and care services, analysis of influencing factors, and conducting incenti

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16

Gołasa, Piotr. "TAX BURDENS AS AN INSTRUMENT FOR EQUALIZING FARM INCOMES." Annals of the Polish Association of Agricultural and Agribusiness Economists XIX, no. 4 (2017): 60–64. http://dx.doi.org/10.5604/01.3001.0010.5165.

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The aim of the article was to present the issue of income inequality among agricultural holdings and the importance of the current system of taxation of agricultural activities for their equalization. This study was based on data collected from 573 agricultural holdings from Mazowieckie, Lubelskie, Podlaskie and Lodzkie. Gini coefficient was used to determine income differentiation. It was found that the examined farms are characterized by high income diversification (Gini coefficient – 0.672). The tax burden on farm incomes is at a low level of 3.8% and 77% of these burdens is agricultural ta

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17

Idrovo, Alvaro J., Myriam Ruiz-Rodríguez, and Abigail P. Manzano-Patiño. "Beyond the income inequality hypothesis and human health: a worldwide exploration." Revista de Saúde Pública 44, no. 4 (2010): 695–702. http://dx.doi.org/10.1590/s0034-89102010005000020.

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OBJECTIVE: To analyze whether the relationship between income inequality and human health is mediated through social capital, and whether political regime determines differences in income inequality and social capital among countries. METHODS: Path analysis of cross sectional ecological data from 110 countries. Life expectancy at birth was the outcome variable, and income inequality (measured by the Gini coefficient), social capital (measured by the Corruption Perceptions Index or generalized trust), and political regime (measured by the Index of Freedom) were the predictor variables. Corrupti

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18

Lyu, Juncheng, Jie Zhang, and Dorian A. Lamis. "A Worldwide Study of the Relationship Between Gini Coefficients and Suicide Rates." International Journal of Environmental Research and Public Health 22, no. 7 (2025): 1110. https://doi.org/10.3390/ijerph22071110.

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Background: The Gini coefficient measures how much the distribution of income or consumption within an economy deviates from an equal distribution. However, there has been a paucity of research examining the association between Gini coefficients and suicide rates in the countries of the world. Objective: To prove the hypothesis that the higher the Gini coefficient, the larger the relative deprivation and the higher the suicide rate, and further to verify the effect of relative deprivation on suicidality. Methods: Suicide rates for different countries were obtained from the World Health Organiz

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19

Binay, Murat, and Ahmet Yalçın Yalçınkaya. "Gini Coefficient Analysis for Pensioners in Turkey." Global Journal of Business, Economics and Management: Current Issues 6, no. 2 (2016): 232–37. http://dx.doi.org/10.18844/gjbem.v6i2.1402.

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One of the main objectives of economic policy is to make the fair distribution of income. To provide fair distribution of income, how the revenue is shared must be based on certain criteria. Products and services are not shared in any society indiscriminately. There is a mechanisms governing the distribution of income in every society. Production factors increase the value created for themselves and how to divide this value is complex phenomenon which has technical, economic, social and political dimensions. There are a lot of criterias about how to divide the created value like change interva

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20

Turčínková, J., and J. Stávková. "Assessment of the income situation of households in the Czech Republic." Agricultural Economics (Zemědělská ekonomika) 57, No. 7 (2011): 322–30. http://dx.doi.org/10.17221/30/2011-agricecon.

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The paper deals with the assessment of income situation of households in the Czech Republic. The primary source for the analysis were the data of the survey EU-SILC European Union &ndash; Statistics on Income and Living Conditions. The basic variable for the analysis is the level of the household income in 2005&ndash;2008. In addition to the decile classification, characteristics such as the average income per one household member, poverty threshold, poverty depth coefficient, Lorenz curve and Gini coefficient. were calculated in order to evaluate the income situation. The results show

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21

Syrovátka, P. "Income elasticity of food expenditures of the average Czech household." Agricultural Economics (Zemědělská ekonomika) 50, No. 7 (2012): 309–16. http://dx.doi.org/10.17221/5208-agricecon.

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The paper was focused on the quantitative research of the income elasticity in the field of the food expenditures within the consumer bundle of the average Czech household between 1995 and 2002. The quantitative analysis of the elasticity was based on the system of the nine one-equation regression models of the demands. Because of the time dimension of the used CZO databases, the partial equations of the demand system were developed in the explicit dynamic form. For the elimination of the price changes in the research of the income-elasticity, the real levels of the expenditures and the income

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22

Shao, Liang Frank, and Melanie Krause. "Rising mean incomes for whom?" PLOS ONE 15, no. 12 (2020): e0242803. http://dx.doi.org/10.1371/journal.pone.0242803.

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Not everybody is benefiting equally from rising mean incomes. We discuss the mean-income population share (MPS), the population percentage of earners below mean income, whose evolution can capture how representative rising mean values are for middle income households. Tracking MPS and its associated income share MIS over time indicates to what extent economic growth is inclusive of both the middle and the bottom of the income distribution. We characterize MPS and MIS analytically under different growth scenarios and compare their parametric estimation using micro-level and grouped income data.

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23

Behari Dave, Brij. "Rethinking Income Inequality: A Search for the Optimal Distribution." Sumerianz Journal of Business Management and Marketing, no. 73 (September 25, 2024): 66–73. http://dx.doi.org/10.47752/sjbmm.73.66.73.

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The United Nations’ ambitious 2030 Agenda, adopted in September 2015, outlines 17 Sustainable Development Goals (SDGs) with the overarching aim of eradicating poverty and hunger. This agenda represents an unprecedented opportunity to address global challenges. However, one crucial aspect, achieving an appropriate level of income disparity (income inequality), remains a significant hurdle for both academics and policymakers. This research gap necessitates a deeper exploration of the theoretical underpinnings of an optimal income distribution for a given population size. This study delves into t

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24

Bilan, Yuriy, Halyna Mishchuk, Natalia Samoliuk, and Halyna Yurchyk. "Impact of Income Distribution on Social and Economic Well-Being of the State." Sustainability 12, no. 1 (2020): 429. http://dx.doi.org/10.3390/su12010429.

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Income distribution can cause large-scale transformations in human resources structure, essential changes of economic outputs via its impact on life satisfaction and motivation of work. Thus, the overall objective of this research is to improve methodological tools of income distribution analysis based on identifying the links between different structural indicators of income inequality and the most essential features of social and economic well-being. We conducted comparative analysis of EU Member States and Ukraine. We used structural analysis based on two forms of income distribution—functi

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25

E., Appah, and Iweias S.S. "Taxes and Income Inequality in Nigeria: 1980 – 2020." African Journal of Economics and Sustainable Development 6, no. 1 (2023): 100–128. http://dx.doi.org/10.52589/ajesd-kknb1wp3.

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This study investigated the relationship between taxes and income inequality in Nigeria from 1980 to 2020. The specific objectives were to investigate the relationship between personal income tax and Gini coefficient, evaluate the relationship between company’s income tax and Gini coefficient, assess the relationship between petroleum profit tax and Gini coefficient, determine the relationship between capital gain tax and Gini coefficient, investigate the relationship between value added tax and Gini coefficient, evaluate the relationship between custom and excise duty and Gini coefficient fro

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26

Zeinolla, Saule, Arsen Tleppayev, Rashid Kerimbayev, and Lazat Spankulova. "The Role of Education in Reducing Income Inequality: A Regional Analysis of Kazakhstan." Eurasian Journal of Economic and Business Studies 69, no. 2 (2025): 34–50. https://doi.org/10.47703/ejebs.v69i2.505.

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In the context of increasing social stratification, the assessment of factors affecting income inequality is becoming particularly important. This article examines the influence of socioeconomic factors, including access to education and human capital development, on Kazakhstan's income inequality level. The Fixed Effects Model is used as an empirical approach, allowing for consistent regional characteristics and minimizing unexplained data variability. The methodological base is built on panel data for 16 regions, covering the period from 2001 to 2022, comprising 352 observations. The regress

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27

Nurdiana, Nurdiana, and Nursalam Nursalam. "Risk Analysis of Rice Farming in Polenga Village, Watubangga District, Kolaka Regency." Agribusiness Journal 4, no. 1 (2021): 40–43. http://dx.doi.org/10.31327/aj.v4i1.1449.

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This study aims to determine the amount of production risk, cost risk and income risk of rice farmers in Polenga Village, Watubangga District, Kolaka Regency. The basic method used in this research is quantitative descriptive. Determination of the research sample using simple random sampling method, with a total sample of 48 rice farmers. The results of this study are the risks faced by farmers in Polenga Village, Kecamtan Watubangga, which is the production risk, costs risk and income risk. Based on the value of variation coefficients (CV) obtained, if CV 0.5 then the production risk , costs

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28

Chu, C. Y. Cyrus, and Yi-Ting Wang. "Gini coefficient versus top income shares – Pattern change differences." Economics Letters 201 (April 2021): 109769. http://dx.doi.org/10.1016/j.econlet.2021.109769.

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29

Karimi, Arizo, Charlotte Lucke, and Mårten Palme. "Components of the evolution of income inequality in Sweden, 1990–2021." Fiscal Studies 45, no. 2 (2024): 187–204. http://dx.doi.org/10.1111/1475-5890.12367.

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AbstractThis paper documents how the inequality of household equivalent disposable income has changed in Sweden over the period 1990–2021. We find that income inequality has unambiguously increased. Measured by the Gini coefficient, inequality increased from around 0.19 to almost 0.3 by the end of 2020. We then analyse the backgrounds to this change by measuring the importance of changes in different components of the overall income distribution: the wage distribution; the distribution of hours of work; capital incomes; income differences between labour market participants and non‐participants

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30

P., O. Oviasuyi, and E. Omoregie A. "OIL REVENUE AND INCOME INEQUALITY IN NIGERIA." International Journal of E-Government & E-Business Research 1, no. 1 (2016): 37–50. https://doi.org/10.5281/zenodo.10824497.

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<strong>Abstract</strong> <em>The study examines the effect of oil revenue on income inequality in Nigeria using a time series data from 1990 to 2014. The Error Correction Model (ECM) was employed on the time series data in order to study the effect of oil revenue on income inequality in Nigeria. The study adopted a country-specific approach using oil revenue, Gini coefficient and macroeconomic data from 1990-2014. Data were collected from the Central Bank of Nigeria Annual Statistical Bulletin, Index Mundi, World Bank Indicators and relevant literatures.   From the empirical result,

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31

Faulkner, Christina M. "Using G2 to measure income inequality in two Latin American upper middle income countries." Statistical Journal of the IAOS: Journal of the International Association for Official Statistics 30, no. 4 (2014): 321–29. https://doi.org/10.3233/sji-140858.

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In his paper, Dr. Joseph Gastwirth argues that an income inequality indicator that combines the Gini coefficient with a measure that captures right skewness is a better measure to detect changes in the distribution that disproportionately favor upper income levels. Gastwirth proposes the indicator, G2, in which the mean/median is multiplied by the Gini coefficient, as a better measure of income inequality in such circumstances. In this paper, I consider whether G2 is a useful measure in Brazil and Mexico, two upper middle income countries that have historically high income inequality that appe

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32

Nam, Kyungsik, Sungro Lee, and Hocheol Jeon. "Nonlinearity between CO2 Emission and Economic Development: Evidence from a Functional Coefficient Panel Approach." Sustainability 12, no. 24 (2020): 10258. http://dx.doi.org/10.3390/su122410258.

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This paper investigates the nonlinear relationship between CO2 emission and economic development using a newly developed functional coefficient panel model. In contrast to the existing literature, which suggests that the income elasticity of CO2 emission is parametrically modeled as a function of income, the income coefficient of CO2 emission is set as a function of both income and time. Then, we estimate the income elasticity in a nonparametric way using the country panel data covering 1971–2017. By doing so, we impose richer dynamics to the income elasticity not only over income but also ove

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33

Tkachyk, L., O. Zamaslo, M. Kulchytskyy, Ye Mayovets, and Ya Mayovets. "MANAGEMENT OF THE INCOME AND BUSINESS ACTIVITY OF THE POPULATION IN THE CONTEXT OF DE-SHADOWING THE ECONOMY OF UKRAINE." Financial and credit activity: problems of theory and practice 3, no. 38 (2021): 95–110. http://dx.doi.org/10.18371/fcaptp.v3i38.237426.

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Abstract. The shadowing of the economy is a significant obstacle on the way to stable economic development and the reason for deteriorating investment climate and imbalance of economic incentives in the national economy of Ukraine. The aim of the article is to determine the factors of shadowing and de-shadowing of Ukraine’s economy in the areas of household income and business and investment activity of the population, as well as justification of measures to de-shadow economic processes in Ukraine. On the basis the calculation of the Fechner correlation coefficient, the relationship between th

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34

Xu, Mo, Shifeng Chen, Jian Chen, and Taiming Zhang. "Non-linear links between human capital, educational inequality and income inequality, evidence from China." PLOS ONE 18, no. 8 (2023): e0288966. http://dx.doi.org/10.1371/journal.pone.0288966.

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This study aims to reveal short-run and long-run asymmetries among human capital, educational inequality, and income inequality in China over the period 1975–2020 using a nonlinear autoregressive distributed lag (NARDL) model. The estimated long-run asymmetry parameters reflect that positive shocks to secondary education (SSE) and higher education (HE) are negatively correlated with income Gini coefficient. The adverse shocks of secondary education (SSE) and higher education (HE) stimulate the Gini coefficient of income, but the effect of secondary education (SSE) on the Gini coefficient of in

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35

Shao, Liang. "How do mean division shares affect growth and development." Panoeconomicus 64, no. 5 (2017): 525–45. http://dx.doi.org/10.2298/pan150520033s.

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The Gini coefficient is widely used in academia to discuss how income inequality affects development and growth. However, different Lorenz curves may provide different development and growth outcomes while still leading to the same Gini coefficient. This paper studies the development effects of ?mean division shares?, i.e., the share of income (mean income share) held by people whose household disposable income per capita is below the mean income and the share of the population (mean population share) with this income, using panel data. Our analysis explores how this income share and populatio

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Zimčík, Petr, Renáta Pakšiová, Pavel Semerád, and Roman Brauner. "The Role of Government in Tackling Income Inequality: Evidence from Central and Eastern European Countries." DANUBE 15, no. 4 (2024): 308–20. https://doi.org/10.2478/danb-2024-0017.

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Abstract The aim of this study is to investigate the role of government interventions in lowering income inequality in post-communist economies of Central and Eastern Europe (CEE). The focus is set on three key policy instruments: progressive income taxation, social transfers, and minimum wage regulations. We use the Gini coefficient for market income and the Gini coefficient for disposable income to quantify income inequality in observed economies and to estimate how government policies tend to create differences between these two measures. We use open panel data from period 2012–2021 to dete

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Wildman, John. "COVID-19 and income inequality in OECD countries." European Journal of Health Economics 22, no. 3 (2021): 455–62. http://dx.doi.org/10.1007/s10198-021-01266-4.

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Abstract Objective To determine the association between income inequality and COVID-19 cases and deaths per million in OECD countries. Methods Cross-sectional regression methods are used to model the relationship between income inequality, as measured by the Gini coefficient, and COVID-19 reported cases and deaths per-million. Results The results demonstrate a significant positive association between income inequality and COVID-19 cases and death per million in all estimated models. A 1% increase in the Gini coefficient is associated with an approximately 4% increase in cases per-million and a

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Ida Bagus Eka Artika. "INCOME DISTRIBUTION OF RED CHILLI FARMER, AT MEREMBU VILLAGE, LABUAPI DISTRICT, WEST LOMBOK REGENCY 2021." Journal of Agri Rinjani: Social Agricultural Economics - Faculty of Agriculture, UGR 1, no. 2 (2021): 27–33. http://dx.doi.org/10.53952/jar.v1i2.68.

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Red chili is an agricultural commodity planted by farmers on the sidelines of rice planting as the main agricultural commodity, especially in Merembu Village, Labuapi District, West Lombok Regency. This study aims to determine the level of income distribution of chili farmers in Merembu Village, Labuapi District, West Lombok Regency. The sample respondent as many as 35 red chili farmers in the research area. The analysis technique uses income distribution analysis with three approaches, namely Gini Coefficient approach, Lorenz Curve and World Bank Criteria Approach. The results of the Gini Rat

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Чернякова, Ю. Д., and Г. А. Трофимова. "ECONOMIC INEQUALITY: ANALYTICAL TOOLS DEVELOPMENT." Human Progress 6, no. 4 (2021): 11. http://dx.doi.org/10.34709/im.164.11.

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Статья посвящена изучению и систематизации методов оценки экономического неравенства населения на уровне отдельных стран. Представлена суть экономического неравенства и его разновидности: неравенство в оплате труда, неравенство доходов и неравенство богатства. Определено влияние экономического неравенства на демографические показатели, в том числе определено неизбежно снижение рождаемости населения. Подробно проанализированы такие классические показатели неравенства населения, как медианный доход, коэффициент Джини, децильный коэффициент, квинтильный коэффициент, коэффициент 50/40/10, коэффици

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Fadillah, Puti Andiny, and Rinaldi Syahputra. "Analisis Pertumbuhan Ekonomi, Jumlah Penduduk dan Indeks Pembangunan Manusia terhadap Distribusi Pendapatan di Aceh Bagian Timur." Jurnal Penelitian Ekonomi Akuntansi (JENSI) 7, no. 2 (2023): 374–87. http://dx.doi.org/10.33059/jensi.v7i2.8907.

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This research aims to determine the influence of Economic Growth, Population and Human Development Index on Income Distribution in Eastern Aceh simultaneously and partially in 2012-2021. This research uses time series data using panel data regression analysis method. E-Views application version 10, which produces a coefficient value for the Economic Growth variable of 0.9402 and has an insignificant effect on Income Distribution. The population coefficient value is 0.5946 and has insignificant effect on Income Distribution. The coefficient value of the Human Development Index is 0.0006 and has

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Efa, Gobena Tura, and Assefa Bizualem. "Sources of Income Inequality among Farm Households in Ethiopia; Using of Gin Coefficient." American Based Research Journal 6, no. 8 (2017): 14–23. https://doi.org/10.5281/zenodo.3445777.

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<em>The distribution pattern of income over years has been a major concern in the determination of the level of economic growth and development of any country. Household in rural Ethiopia are diversifying activity both within agricultural and non-agricultural sectors. The study intended to analyze sources of income inequality of cash and cereal crops farmers. Data for the study obtained from primary and secondary sources of data. About 164 respondents for cereal crops and 150 cash crops producers sampled for the study. For analysis purposes descriptive statistics, Lorenz curve and Gini coeffic

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Kossowski, Tomasz M., and Paweł Motek. "The diversity and spatial polarisation of own incomes of the Polish gminas." Wiadomości Statystyczne. The Polish Statistician 66, no. 8 (2021): 1–23. http://dx.doi.org/10.5604/01.3001.0015.2301.

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Own incomes are considered one of the most important sources of financing for local governments in Poland. Although own incomes have been the subject of numerous analyses, extensive research focusing on their spatial aspect is rarely conducted. This article aims to identify the changes in the spatial diversification and polarisation of gminas (communes’) own incomes. Data from the Local Data Bank of Statistics Poland, the National Bank of Poland and the World Bank were used. The analysis covered the years 1995–2019. The study used the global spatial autocorrelation coefficient and the LISA met

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Sepurrohman, Yoga. "PENGARUH BEBAN OPERASIONAL DAN PENDAPATAN TERHADAP LABA BERSIH." COMPETITIVE Jurnal Akuntansi dan Keuangan 7, no. 1 (2023): 226. http://dx.doi.org/10.31000/competitive.v7i1.4797.

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The purpose of this research determines the effect of operating income and expenses on net income. The variables used in this reasearch are income, operating expenses and net income. The research method is to use quantitative methods with a non-parametric statistical approach because the sample less than 30 it just 7. Data analysis techniques used were correlation analysis, multiple linear multiple regression and coefficient of determination. The hypothesis testing technique uses a contingency coefficient test. Based on the results of the data analysis test, it shows that income and operating

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Uge, Sri Hapsa, Tri Handayani Amaliah, and Muliyani Mahmud. "Pengaruh Modal Usaha, Biaya Dan Jenis Kelamin Terhadap Pendapatan Pedagang Pasar Tradisional." Jambura Accounting Review 3, no. 1 (2022): 37–51. http://dx.doi.org/10.37905/jar.v3i1.46.

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This study aims ti determine the influence of venture capital, funding, an gender on the seller’s uincome in the traditional market in Molutabu Village. This primary research data implement a quantitative method and take 69 respondents through the questionnaire with a simple random sampling technique. This study conducts multiple regression analysis technique with statistical test (validity, reliability, classic assumption, partial, simultaneous,and determination coefficient test). Based on the partial test, it obtains the venture, capital gives positive and significant influence toward the se

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Hoffmann, Rodolfo. "Decomposition of Mehran and Piesch inequality measures by factor components and their application to the distribution of per capita household income in Brazil." Brazilian Review of Econometrics 24, no. 1 (2004): 149. http://dx.doi.org/10.12660/bre.v24n12004.2706.

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Inequality decomposition by factor components is extended to the Mehran and Piesch indices, comparing them with the decomposition of the Gini index, the squared coefficient of variation and the Theil's T coefficient. The decomposition procedure is applied to the distribution of per capita household income in Brazil in 1999, considering six components: earnings of civil servants and military personnel, earnings of other employees, earnings of self-employed workers, earnings of employers, pensions and, finally, all other incomes. One of the results is that for all the five measures used, the con

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Guo, Jiahong, and Shixiong Cao. "Investigating the main factors responsible for changes in income inequality in China between 2000 and 2018." Journal of Infrastructure, Policy and Development 8, no. 8 (2024): 5787. http://dx.doi.org/10.24294/jipd.v8i8.5787.

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Poverty, and especially the widening disparity between the rich and the poor, leads to social unrest that can interrupt the harmonious development of human society. Understanding the reasons for income inequality, and supporting the development of an effective strategy to reduce this inequality, have been major goals in socioeconomic research around the world. To identify the determinants of the income gap, we calculated the Gini coefficients for Chinese provinces and performed regression analysis and contribution analysis for heterogeneity, using data from 30 Chinese provinces from 2002 to 20

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Akshita Sheoran. "Exploring the causes and consequences of income inequality in India." Innovative Research Thoughts 10, no. 2 (2024): 92–102. http://dx.doi.org/10.36676/irt.v10.i2.1412.

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The unequal income distribution among people or households within a society is called income inequality. It is a crucial socioeconomic problem that has an impact on the foundation of all countries. With its wide diversity and intricate social structure, India is a country where economic inequality poses special difficulties and ramifications. This essay investigates the origins and effects of income disparity in India, looking at its historical development, relevance, and the urgent need for in-depth study in this area. The degree to which income is dispersed unevenly among a population is kno

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Babanić, Mirko. "Levered beta: Influence of debt and corporate income tax on company systematic risk: Discussion on the correct algebraic equation." European Journal of Applied Economics 20, no. 2 (2023): 150–67. http://dx.doi.org/10.5937/ejae20-45235.

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The increase in the share of debt in the capital structure is accompanied by an increase in the required return on equity because companies are exposed to higher financial risk. The beta coefficient of debt-financed companies differs from the beta coefficient of companies that are financed exclusively with equity. Namely, the beta coefficient, under the influence of financial leverage, tends to increase with the growth of indebtedness, that is the systematic risk measured by the coefficient beta of debt-financed companies is higher than the systematic risk of non-leveraged companies, due to fi

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Wang, Songtao, Tristan Kenderdine, and Zhen Qi. "Working for Less: Income Inequality and the Diminishing Share of Labor in China’s National Wealth." Asian Social Science 13, no. 6 (2017): 81. http://dx.doi.org/10.5539/ass.v13n6p81.

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This paper demystifies variation in labor’s share of national labor income in China from the perspective of the income gap. We extend the gross national labor income function by introducing a Gini coefficient to support our argument that the share of gross national labor income decreases with an increasing Gini coefficient. The hypotheses are tested using provincial data from 1996 to 2010: (1) the Gini coefficient’s ‘inverted U’ shape partially contributes to the U-shaped evolution of the labor income-share; (2) China’s 15 per cent decline in the labor income share can be explained by the wide

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Nesha, R., R. Bernadette, and A. Yulianita. "The Determinants of Income Inequality in Bangka Belitung Province." MIR (Modernization. Innovation. Research) 12, no. 1 (2021): 83–90. http://dx.doi.org/10.18184/2079-4665.2021.12.1.83-90.

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Purpose: this research study focused on analyzing the conditions of income distribution and the determinants of the low Gini coefficient, namely the sectors that have the highest contribution, including the industrial, agricultural and trade sectors and labor productivity in the industrial sector in Kepulauan Bangka Belitung Province.Methods: the income distribution phenomenon in Kepulauan Bangka Belitung Province during the 2007-2018 period became the basis for analyzing the determining variables of income distribution including the industrial sector, the agricultural sector, the trade sector

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