The first part of this story situated India’s informal sector firms in the country’s larger economy, described their basic economic status and also flagged what can only be described as satisfaction despite economic precarity. The second part will use unit level data from AUSUE surveys to show that most of these firms are largely family-run establishments with very little paid employment generation, especially of better quality. While things such as having stayed in the business for a long time do
Representative photo (Pixabay)
59% of the workers in informal sector firms are just owners or their family members
87% of informal sector firms in the 2023-24 AUSE data are own account establishments which means that they hire no workers and run with just the working owners and unpaid family members. Even among the remaining 13.4%, which are classified as Hired Worker Establishments (HWEs), 28% of the total workers are either the owner or unpaid family labour. The share of formally hired workers – they are expected to have paid leaves and other social security benefits – in informal sector enterprises as a whole was just 1.6% (4.3% in HWE). This clearly shows that there is very little quality employment generation in these firms. See Chart 1: break-up of workforce in OAEs, HWEs and total informal sector enterprises
Subsistence variety employment is spread across sectors in the informal economy
To be sure, one could argue that a lot of informal sector enterprises would be proverbial Mom and Pop stores and therefore one need not read too much into it. However, a broad sector-wise data analysis shows that the problem is more widespread. Even in manufacturing, almost three-fourths of the workers are either owners or unpaid family workers. What is really striking is the fact that the share of formally hired workers does not cross even 3.8% in any kind of manufacturing sector activity in ASUSE data. This number reaches its highest value in the education sub-sector of services (if one were to ignore the very small sector of non-captive electricity generation). See chart 2: sector-wise break-up of workers by worker type
Longevity seems to have very little premium in the informal economy
This is another striking finding from the data. ASUSE also classifies informal sector firms on the basis of the number of years they have been in operation. The classification itself seems to be a bit counter-intuitive with the oldest firm category extending beyond just three years. What the data shows is that there is very little difference in surplus or fixed capital per firm by their longevity in the market. This suggests that there is very little learning-by-doing premium generated upward mobility for such firms in the Indian economy. See Chart 3: surplus and physical capital by years in operation
But firms do show a relation with economies of their states
While all the evidence presented above nudges one towards the conclusion that India’s informal sector firms have very little economic dynamism at least one piece of data shows that they do not operate in complete isolation of the larger economic environment. A comparison of average GVA per informal sector firm in a state shows a strong positive correlation with per capita GSDP of that state. While the relationship merits a more serious analysis, it does tell us that dynamism in the informal sector is not divorced from the formal economy. Chart 4:
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.
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.
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Home/Editors Pick/Number Theory: A peek inside India’s informal economy – II
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