Analyzing the Relationship between the PM2.5 Concentration and the Gini Coefficient Using the Grey Model by Lifeng Wu, Kai Cai, Yan Chen

“…In the past nine years, the Gini coefficients have declined in more than 70% of the 26 provinces. …”
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Chinese Gini Coefficient from 2005 to 2012, Based on 20 Grouped Income Data Sets of Urban and Rural Residents by Jiandong Chen, Fuqian Fang, Wenxuan Hou, Fengying Li, Ming Pu, Malin Song

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Wages in the U.S. Manufacturing industry by N. E. Petrovskaya

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Feasibility and usefulness of Gini coefficients of primary care visits as a measure of service inequality: preliminary findings from a cross-sectional study using region-wide electronic medical records in Anhui, China by Xin Yang, Jing Chai, Jing Cheng, DeBin Wang, XingRong Shen, Rong Liu, ManMan Lu, Jia Xu, Ningjing Yang, Guocheng Li

“…Objective The aim of this study was to investigate inequalities in primary healthcare visits by using the Gini coefficients of primary healthcare visits (GPVs) as derived from large-scale and region-wide electronic records and to explore estimation and utility of GPV.Design The study used a cross-sectional study design. …”
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Analysis of equity in the distribution of human resources and hospital beds and its association with the COVID-19 mortality rate: a case of Iran by Habib Jalilian, Seyed Mohammad Riahi, Somayeh Heydari, Masoomeh Taji

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Measurement and spatiotemporal evolution characteristics of dietary diversity among Chinese residents by Guangyuan Qin, Miaomiao Li, Shiwen Quan

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Integrated assessment of environmental suitability and water-energy conflict for optimizing solar energy in Northwest China's desert regions by Weike Zhao, Zhangxinyue Zhao, Wenjuan Hou, Dezheng Jiang, Kaijin Zhang, Xueliang Zhang

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International Standards and Domestic Experience of Population Income Measurement: Russia and Regions by S. G. Bychkova

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Modelling height to crown base using non-parametric methods for mixed forests in China by Zeyu Zhou, Huiru Zhang, Ram P. Sharma, Xiaohong Zhang, Linyan Feng, Manyi Du, Lianjin Zhang, Huanying Feng, Xuefan Hu, Yang Yu

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Gelir Gruplarına Göre Tüketici Fiyat Endeksi (TÜFE) Hesapları ve Gelir Dağılımı Ölçümü İçin Yeni Bir Öneri by Esat Daşdemir

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Progressive scale implementation for personal income tax as a necessary condition for ensuring social justice by N. Z. Zotikov

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Dietary changes are associated with an increase in air pollution-related health and environmental inequity in China by Biao Luo, Jianwei Huang, Xueying Liu, Mei-Po Kwan, Amos P. K. Tai

“…Here we show that the PM2.5-related mortality attributable specifically to dietary changes and the associated rising agricultural emissions has a high Gini coefficient of 0.369 in China in 2010, and raises the Gini coefficient of all-cause PM2.5-related mortality from 0.189 to 0.197 with more uneven allocation among income groups, reflecting worsened health inequity and an export of pollution from richer coastal regions to poorer agricultural regions via food trade. …”
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Empirical Analysis of African Aubergine (Solanum gilo) – Marketing and Income Disparity among Traders in Owerri, Imo State, Nigeria by Godfrey C. Onuwa

“…Thus, the variables (marketing experience, cost price, quantity sold and marketing cost) in the regression model accounted for 77% of the variation in the marketing margin of African Aubergine traders in the study area. The estimated Gini Coefficient was 0.59, indicating a moderate level of income disparity (inequality) in the sales income of the respondents. …”
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Comparing the Impact of Renewable and Non-Renewable Energy Consumption on the Economic Welfare of Iranian Provinces Using a Panel Data Approach by Mahmoud Rahimi, Mohammad Mirbagherijam, Ebrahim Ghaed, Akram Noorani

“…Also, the variables of the unemployment rate, inflation rate, and income distribution inequality (Gini coefficient) have a negative and significant effect, and the variables of population growth rate, GDP, and labour productivity have a positive and significant impact on economic welfare.Originality/Value: The study showed that using renewable energy in the provinces of Iran has a more significant effect than non-renewable energy in increasing economic welfare. …”
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Epidemiological panorama of type 2 diabetes in Mexico: differences by state and social determinants by Guadalupe Soto-Estrada, Laura Moreno-Altamirano, Naghielli Álvarez-Chombo, Juan J. García-García

“…The poorest states, with the lowest Human Development Index and GDP and the highest Gini coefficient have been the most affected. The correlation showed that, the higher the level of extreme poverty, the higher the increase in mortality and the prevalence of T2DM. …”
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Desigualdades persistentes, direitos e democracia contemporânea by Aloísio Ruscheinsky

“…In this sense, despite social policies and the middle scale decision devices, the evaluation of the Gini coefficient shows a massive persistence of inequalities. …”
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Identification of Inequities in Green Visibility and Ways to Increase Greenery in Neighborhoods: A Case Study of Wuhan, China by Xiaohua Guo, Chang Liu, Shibo Bi, Yuling Tang

“…However, this improvement did not translate into better spatial equity, as the Gini coefficient consistently ranged between 0.4 and 0.5. …”
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Examining sufficiency and equity in the geographic distribution of physicians in Japan: a longitudinal study by Yuichi Imanaka, Susumu Kunisawa, Koji Hara, Tetsuya Otsubo

“…Healthcare demand was adjusted using health expenditure per capita. Trends in the Gini coefficient and the number of SMAs with a low physician supply were analysed. …”
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Empowering access: unveiling an overall composite spatial accessibility index to healthcare services in Southeastern Iran by Ahmad Raeesi, Soheil Hashtarkhani, Mahmood Tara, Narjes Sargolzaei, Behzad Kiani

“…Inequality was assessed using the Lorenz curve and Gini coefficient analysis. Results Low geographic accessibility was found across Sistan and Baluchestan Province, especially in rural areas. …”
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Changes in Consumer Food Preferences in EU Countries from 2001-2013 by Grzegorz Koszela, Luiza Ochnio

“…It turns out that we may use the greatest possible measure of the structure’s dissimilarity as an analogy to the Gini coefficient, to express this rate. Using the “ar” measure to compare structures of food consumption in two separate three-year time periods for each country, scientists may rank and group the countries according to the value of changes in consumer food preferences.…”
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