A polarization of inequality? The distribution of national Gini coefficients 1970–1996

Biancotti, Claudia

doi:10.1007/s10888-005-4889-7

Cited by 152 publications

(19 citation statements)

References 31 publications

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“…Similarly, WIDER's Data Set Version 1.0 has 221 data points for 67 countries over 26 years from 1970 to 1996. According to Biancotti (2005), "These are the only data points out of 5067 that meet a standard of comparability." 5.…”

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confidence: 99%

Inequality, unemployment and growth: New measures for old controversies

Galbraith

2008

J Econ Inequal

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Abstract:This essays surveys some of the work of the University of Texas Inequality Project, a small research group that for the past decade has worked primarily to develop new measures of economic inequality, using a method based on the between-groups component of Theil's T statistic. In this way, inequality statistics can be computed from many diverse and mundane sources of information, including regional tax collections, employment and earnings, census of manufacturing, and harmonized international industrial data sets. The rich data environment so constructed permits new analyses of patterns of economic change, by region, by sector, and by country, and broadly supports the idea that the movement of inequality is closely related to macroeconomic events at the national and the global level.

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confidence: 99%

Inequality, unemployment and growth: New measures for old controversies

Galbraith

2008

J Econ Inequal

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“…At present, several methods can be used to calculate the Gini coefficient (Kleiber and Kotz ; Biancotti ; Tang and Wang ). Considering the simplicity and applicability of the method in this study, we calculated the Gini coefficient for water use using the following equation (Tang and Wang ):

G = {false\sum}_{i = 1}^{n - 1} (M_{i} P_{i + 1} - M_{i + 1} P_{i}),

where G is the Gini coefficient; M i is the cumulative percentage of total water use; P i is the cumulative percentage of a given type of water use.…”

Section: Methodsmentioning

confidence: 99%

Spatial Pattern Analysis of Regional Water Use Profile Based on the Gini Coefficient and Location Quotient

Liu

Jia

Niu

et al. 2019

J American Water Resour Assoc

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Water resources have become a barrier hampering socioeconomic development. Changes in the spatial distribution of water use profile have direct impacts to regional water use efficiency. However, the related research is inadequate, and a more suitable way to analyze regional water use profile is necessary. The Gini coefficient and location quotient, two reliable methods commonly used in discussing the spatial distribution of elements, were introduced and calculated. Taking Gansu Province as the study area, the concentration effect of industrial water use was the strongest, followed by domestic, environmental, and agricultural water use. However, a balanced distribution of agricultural water use failed to be coordinated with the production conditions, the center of Gansu’s grain production should be established to enhance the scale effect of agricultural production. The industrial agglomeration effect remained weak, and each region’s dominant industries need to be developed vigorously. Gansu’s domestic water use was consistent with its population distribution, but it is necessary to reduce the water use gap between urban and rural areas. With a growing awareness of environmental protection, environmental water use exhibited a more balanced distribution. Overall, the methods are simple and have good applicability, and the results can provide a reference in water use optimization.

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“…Otherwise, the maximal GC reaches 0.8 if the adjustment is removed from the Eq.1 [15]. The alarming level of GC for denoting inequality is set at 0.4 [15][16][17].…”

Section: The Calculation Of the Gini Coefficient Used In This Studymentioning

confidence: 99%

Choropleth Map Legend Design for Visualizing the Most Influential Areas on the Topic of Anesthesiology: Bibliometric Analyses

2019

ARC Journal of Anesthesiology

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A polarization of inequality? The distribution of national Gini coefficients 1970–1996

Abstract: inequality,

Cited by 152 publications

References 31 publications

Inequality, unemployment and growth: New measures for old controversies

Inequality, unemployment and growth: New measures for old controversies

Spatial Pattern Analysis of Regional Water Use Profile Based on the Gini Coefficient and Location Quotient

Choropleth Map Legend Design for Visualizing the Most Influential Areas on the Topic of Anesthesiology: Bibliometric Analyses

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