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Why reservation may fail in levelling the field

From SC-ST social groups, reservations have expanded to OBCs, economically weaker sections

Published on: Mar 9, 2021, 01:58:02 IST
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A Constitution Bench of the Supreme Court has agreed to re-examine the 50% ceiling on reservations in India, which was put in place by the Supreme Court itself in 1992 in the famous Indra Sawhney case. The apex court took this decision while hearing a case on the validity of 10% separate reservations for Marathas in education and employment in government jobs in Maharashtra, something that would have breached the ceiling. Reservations were originally envisaged in the constitution as a temporary provision only for social groups designated as Scheduled Caste (SC) and Scheduled Tribe (ST). Over time they have come to occupy a more prominent role in politics, paved the way for not just evergreening such provisions but also expanding their coverage. From applying to just SC-ST social groups, reservations have expanded to cover OBCs, economically weaker sections of all social groups, who are neither SC-ST nor OBCs, and increasingly, once dominant communities that have now fallen on hard times (such as land-owning communities dependent on agriculture). While the argument in asking for a 50% cap on reservations can be questioned on the basis that merit itself is sometimes the function of privilege, it is clear that reservations are gradually losing their ability to level the playing field. Here are three charts which explain this.

The apex court has agreed to re-examine the 50% ceiling on reservations in India while hearing a case on the validity of 10% separate reservations for Marathas (Amal KS/HT PHOTO)
The apex court has agreed to re-examine the 50% ceiling on reservations in India while hearing a case on the validity of 10% separate reservations for Marathas (Amal KS/HT PHOTO)

Reservations apply to the public sector, which is losing its importance

While the scope of reservations has gradually increased in India from being for just SC-ST groups to first OBC and now economically weaker sections from other social groups as well, the size of the pie which is covered under reservations has been declining gradually. Data from the Centre for Monitoring Indian Economy’s database shows that the share of public sector; where reservations apply, in organised employment in the country increased until the 1980s and then started declining as public sector started shrinking with the opening up of the economy. In 2011-12, the latest period for which data is available, public sector accounted for less than 60% of total organised sector jobs in the country. This includes government jobs. (Chart 1)

Private sector has higher social-inequality in better paying jobs

An analysis of unit level data from the latest Periodic Labour Force Survey (PLFS), India’s official source of employment statistics, shows that caste-wise inequality in salaried jobs (they are the highest paying jobs in India) is greater in private sector than in public sector. The former does not have reservations, while the latter has. A 2007 Economic and Political Weekly (EPW) paper by SK Thorat and Paul Attewell was based on an experiment where identical job applications were sent by candidates with names which suggested that they were upper caste, Dalits (SC) and Muslims. The authors found that companies discriminated against candidates with SC and Muslim surnames even in terms of contacting candidates. But reservations may not be the answer. (Chart 2)

Expanding reservations to private sector will not solve inequality problem

The declining share of India’s public sector employment should be read in consonance with the fact that the total number of organised sector jobs in 2011-12 was just 29.6 million, whereas the size of India’s labour force was 430 million. This statistic is the most telling reminder that even if reservations were to be expanded to the private sector, it cannot achieve much in equalizing access to quality jobs, even if the social unrest which the policy would cause, were to be set aside for a moment. A comparison of the share of salaried jobs in India during the post-reform period captures this point. The solution lies in increasing the size of the pie, not play around with the allocation of the slices.(Chart 3)

  • Roshan Kishore
    ABOUT THE AUTHOR
    Roshan Kishore

    Roshan Kishore is the Data and Political Economy Editor at Hindustan Times. He heads the newsroom's data journalism team, which produces Number Theory, a daily data-driven feature for the print edition and the HT app. Number Theory uses data analysis and story-telling based on it to add value to the newsroom’s daily coverage by putting stories in a larger context on a range of issues, including politics, macroeconomy, markets, global affairs and climate. Under his leadership HT’s data journalism work has established itself as a niche product in Indian journalism and pushed the boundaries of marrying academic rigour with news sense and speed. Along with writing and editing data stories, he has also been writing a weekly political economy column called Terms of Trade for HT Premium. A trained economist with an MPhil degree from Jawaharlal Nehru University, Kishore has also been a visiting fellow at the Centre for Advanced Studies of India (CASI) at the University of Pennsylvania. Along with his journalistic work, his writings have also appeared in journals such as the Economic and Political Weekly and working papers for CASI and UNESCAP.Read More

  • Abhishek Jha
    ABOUT THE AUTHOR
    Abhishek Jha

    Abhishek Jha is Assistant Editor-Data at Hindustan Times. He uses statistical programming to generate newsworthy insights from large datasets. He is part of the team that produces Number Theory, a daily data story feature of the paper’s print edition. Since March 2024, he has been writing Weather Bee, a weekly column for the Hindustan Times website. He is a chemical engineer by training, who specialises in stories related to weather, climate, and the environment. Jha has been at HT since 2018, where he offers data-driven perspective and analysis on politics, environment, weather, climate, economy and society. His work includes data coverage of elections in India and abroad, including the 2019 and 2024 Lok Sabha elections; the disasters and extreme weather resulting from changing climate, such as floods, droughts, heat waves, cold waves, and dwindling snow cap in the Himalayas; the factors that drive poor air quality in northern India; the changing patterns of land use; the Covid-19 pandemic and its impact on labour market conditions; the changing pattern of consumer spending seen in the new consumer spending surveys; and social norms seen in the surveys such as the National Family Health Survey.Read More