Sandpile Universality in Social Inequality: Gini and Kolkata Measures

Author:

Banerjee Suchismita1,Biswas Soumyajyoti2,Chakrabarti Bikas K.13,Ghosh Asim4,Mitra Manipushpak1

Affiliation:

1. Economic Research Unit, Indian Statistical Institute, Kolkata 700108, India

2. Department of Physics, SRM University-AP, Amaravati 522240, India

3. Condensed Matter Physics, Saha Institute of Nuclear Physics, Kolkata 700064, India

4. Department of Physics, Raghunathpur College, Purulia 723133, India

Abstract

Social inequalities are ubiquitous and evolve towards a universal limit. Herein, we extensively review the values of inequality measures, namely the Gini (g) index and the Kolkata (k) index, two standard measures of inequality used in the analysis of various social sectors through data analysis. The Kolkata index, denoted as k, indicates the proportion of the ‘wealth’ owned by (1−k) fraction of the ‘people’. Our findings suggest that both the Gini index and the Kolkata index tend to converge to similar values (around g=k≈0.87, starting from the point of perfect equality, where g=0 and k=0.5) as competition increases in different social institutions, such as markets, movies, elections, universities, prize winning, battle fields, sports (Olympics), etc., under conditions of unrestricted competition (no social welfare or support mechanism). In this review, we present the concept of a generalized form of Pareto’s 80/20 law (k=0.80), where the coincidence of inequality indices is observed. The observation of this coincidence is consistent with the precursor values of the g and k indices for the self-organized critical (SOC) state in self-tuned physical systems such as sand piles. These results provide quantitative support for the view that interacting socioeconomic systems can be understood within the framework of SOC, which has been hypothesized for many years. These findings suggest that the SOC model can be extended to capture the dynamics of complex socioeconomic systems and help us better understand their behavior.

Publisher

MDPI AG

Subject

General Physics and Astronomy

Reference48 articles.

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4. Gini, C.W. (1912). Variabilitá e Mutabilitá: Contributo allo Studio delle Distribuzioni e delle Relazioni Statistiche, Cristiano Cuppini. Available online: https://en.wikipedia.org/wiki/Gini_coefficient#:~:text=The%20Gini%20coefficient%20measures%20the,reflects%20maximal%20inequality%20among%20values.

5. Bourguignon, F. (2015). Globalization of Inequality, Princeton University Press.

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