ISSN (Print) - 0012-9976 | ISSN (Online) - 2349-8846

Income InequalitySubscribe to Income Inequality

Are Spectacular Growth and High Inequality Two Sides of the Same Coin?​​​​​​​

The emergence of India as an economic powerhouse notwithstanding, growth has failed to trickle down to marginalised sections, rendering inclusive growth a major concern. That has made India one of the most unequal countries. In this context, the extent of inequality across states during the post-economic reforms period has been analysed in this paper. Income inequality is estimated by sourcing gross state domestic product data from the Reserve Bank of India’s Handbook of Statistics on the Indian Economy and using the Gini coefficient and Lorenz curve for 26 states and three union territories from 1993–94 to 2019–20. During this period, the western and southern zones have recorded a higher GSDP than the rest of the states in the country. The Gini coefficient was the lowest at 0.25 for Andhra Pradesh and the highest for Sikkim at 0.52. It is argued that the policy focus should not just be on a higher magnitude of growth, but on equitable growth, which requires region-specific interventions with a focus on several dimensions such as setting up agro-processing storage unit storage and transportation and generating accessible employment opportunities—supplemented by significant investments in education and health.

Income Inequality in Indian States

There is a large magnitude of income inequality in Indian states, as estimated by various measures, with substantial variation among states and between rural and urban areas of the states along with negligible evidence for a Kuznets-type curve.

Income Inequality

Utilising unit-level data from the India Human Development Surveys, income inequalities in India and in 17 major states for 2004–05 and 2011–12 are estimated. Income inequality was generally high and was rising during the years, notwithstanding some declines in a few states. It is observed that income inequalities among Indians are unlikely to be narrowed down on their own from trickledown effect of income growth.

Wage Suppression and Wage-rentierism

The surplus value created by non-supervisory workers is typically understood as captured by firm owners and shareholders (that is, as capital income). The surplus value created by non-supervisory workers is captured largely in the form of compensation for high-level executives, and that this capture explains a greater share of wealth inequality than increases in capital’s share of income.

Rising Inequalities in Income in India

According to a study by Lucas Chancel and Thomas Piketty (2017), the average annual real per adult income growth in India accelerated from 1.7% during 1951–80 to 3.3% during 1980–2015. However, for the bottom 50% income group, it decelerated from 2.2% to 1.9% over the same period, despite acceleration from 1.2% to 5.1% for the top 10% income group and from 0.2% to 6.6% for the top 1% income group. These growing income inequalities in India are part of a larger set of rising income inequalities in several parts of the world; according to the World Social Report 2020 by the United Nations (2020), two-thirds of the world’s population today lives in countries where income inequality has grown. Moreover, “the ratio between the incomes of the richest and the poorest 10% of global population is 25% larger than it would be in a world without global warming,” as, among other factors, “at similar levels of exposure, people in poverty are more susceptible to damage from climate change than those who are better off” (United Nations 2020: 7).

The Fallacy of Trickle-down Economics: Whom Does ‘Wealth Creation’ Benefit?

While the theory of “trickle down” of wealth to the poor is often invoked to support the government’s neo-liberal policies, such as tax cuts and other financial incentives for the private sector that benefit the rich, in reality, such policies have not been successful in bridging economic inequalities.

Understanding India’s Gilded Age

The Billionaire Raj: A Journey through India’s New Gilded Age by James Crabtree, Noida: Harper Collins, 2018; pp 358 + xxv, `799.

 

Three Decades of HDI

Tackling gender and income disparities will boost India’s human development record.

Beyond Headline GDP Growth

Income and consumption growth rates vary for different income groups. Data shows that beyond the headline gross domestic product growth rate, there is a significant heterogeneity in growth rates depending on which part of the income distribution one is located in.

Small Farmers and Organised Retail Chains in India

This study compares farmers selling vegetables to Mother Dairy, an organised retail chain, with those selling to the local mandi in Haryana to find out the drivers and constraints determining their participation in these two types of marketing chains, particularly for the small farmers. The findings suggest the significance of farm size in determining farmers’ participation in organised retail chains. Using Heckman selection–correction model, the study found that though the income of participating farmers increases, the increase depends on farm size, while the Ginni coefficient shows that the inequality in income distribution is more among the participants than the non-participating farmers.

Changing Wealth Inequalities in Child Nutrition in Indian States

How have wealth inequalities in child nutrition changed in the major states of India between the last two rounds of the National Family Health Survey? The temporal change in the likelihood of child stunting in the poorest quintile of households vis-à-vis the richer quintiles is examined. Alternative measures of wealth inequality in child nutrition, based on the ranking of the households’ wealth scores (namely the concentration index and the extended concentration index), are also used to see how the magnitudes have changed. The poorly performing states have not only retained the last ranks in terms of average stunting, but have also faltered in the reduction of stunting during the decade under study. In three of these states, the improvement in child stunting has disfavoured the poor by all measures. Comparing the concentration index and the extended concentration index for the two rounds, it is found that inequality in stunting has increased in all the states excluding Uttarakhand. This calls for immediate policy attention, since children from the poorest households in the backward states seem to suffer from the dual burden of the state effect and the class effect.

If You Want Change, Look to the Youth: Lessons for Chile's Struggle Against Inequality

Thirty years after the dictatorship of Augusto Pinochet, Chile is in the middle of an economic and political crisis, the roots of which can be found in the neo-liberal model initiated by the Pinochet regime.

Pages

Back to Top