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Begin New Search Political Geography India Content Type Working Paper Author Amit Basole Publication Year within 5 Years Publication Year within 10 Years Publication Year within 3 Years

1. Jobless growth and structural transformation: Some theoretical considerations and empirical evidence from India

Author:
Zico Dasgupta and Amit Basole
Publication Date:
09-2023
Content Type:
Working Paper
Institution:
Centre for Sustainable Employment, Azim Premji University
Abstract:
The decoupling of output growth and employment growth, known popularly as “jobless growth” has been a problem plaguing many countries. Using cross-country data, we show that India has underperformed significantly on job creation compared to the average developing country with lower than average employment elasticities at both the aggregate level and for the non-agricultural sector. Strikingly, we find a one-for-one relationship between output growth and productivity growth in India’s non-agricultural sector, i.e. a Kaldor-Verdoorn coefficient of one. Despite this joblessness of growth, the Indian economy has experienced some structural transformation with the share of the non-agricultural sector and the share of regular wage employment rising at the expense of agriculture and self-employment. We develop a theoretical model which clarifies the relative roles of labour demand and labour supply in determining the output-employment relationship. In this model, the Indian case of some structural transformation even with jobless growth emerges as one case among four possible cases (growth with or without jobs / structural change or no structural change). We conclude with some policy implications.
Topic:
Employment, Economic Growth, Gender, Structural Transformation, and Jobless Growth
Political Geography:
South Asia and India

2. Estimating the productivity gap between organised and unorganised small-scale units in India’s manufacturing sector

Author:
Amit Basole, Dimple Chopde, and Paaritosh Nath
Publication Date:
06-2023
Content Type:
Working Paper
Institution:
Centre for Sustainable Employment, Azim Premji University
Abstract:
Small manufacturing firms are considered to be engines of growth and job creation. While most research on small firms focuses on formal sector units, in India informal sector units far outnumber the formal. This is true even for manufacturing units employing 5 to 49 workers, which constitute only 5% of all unorganised units, but in absolute numbers are nine times more numerous than organised units in the same size class. Such firms have the potential to contribute to structural transformation but their capacities vis-a-vis formal firms are not well understood. To address this, we create a unit-level dataset combining Annual Survey of Industries data for organised (formal) units with the National Sample Survey data on unorganised (informal) units. We also discuss problems involved in this exercise and some ways to deal with them. We find that matching organised and unorganised units on observable characteristics reduces the labour productivity differences between them to around 25 percent. We discuss some policy implications of our results.
Topic:
Employment, Manufacturing, Productivity, and Informal Economy
Political Geography:
South Asia and India

3. Labour incomes in India: A comparison of PLFS and CMIE-CPHS data

Author:
Mrinalini Jha and Amit Basole
Publication Date:
02-2022
Content Type:
Working Paper
Institution:
Centre for Sustainable Employment, Azim Premji University
Abstract:
The Covid-19 pandemic has created a need for high frequency employment and income data to gauge the nature and extent of shock and recovery from month to month. Lack of such high frequency household-level data from official sources has forced researchers to rely almost entirely on the Consumer Pyramids Household Survey (CPHS) conducted by the Centre for Monitoring the Indian Economy (CMIE). Recently, the CPHS has been criticised for missing poor and vulnerable households in its sample. In this context, it becomes important to develop a detailed understanding of how comparable CPHS estimates are to other more familiar sources. We examine the comparability of monthly labour income estimates for the pre-pandemic year (2018-19) for CPHS and the Periodic Labour Force Survey (PLFS). Across different methods and assumptions, as well as rural/urban locations, CPHS mean monthly labour earnings are anywhere between 5 percent to 50 percent higher than corresponding PLFS estimates. In addition to the sampling concerns raised in the literature, we point to differences in the way employment and income are captured in the two surveys as possible causes of these differences. While CPHS estimates are always higher, it should also be emphasized that the two surveys agree on some stylized facts regarding the Indian workforce. An individual earning INR 50,000 per month lies in the top 5 percent of the income distribution in India as per both surveys. Second, both PLFS and CPHS show that half the Indian workforce earns below the recommended National Minimum Wage.
Topic:
Labor Issues, Survey, Data, COVID-19, and Income
Political Geography:
South Asia and India

4. Tracking Employment Trajectories during the Covid-19 Pandemic: Evidence from Indian Panel Data

Author:
Rosa Abraham, Amit Basole, and Surbhi Kesar
Publication Date:
01-2021
Content Type:
Working Paper
Institution:
Centre for Sustainable Employment, Azim Premji University
Abstract:
Using the CMIE’s Consumer Pyramids Household Survey, we track a panel of households prior to the lockdown (in December 2019), during the lockdown (in April 2020) and afterwards (in August 2020) to investigate the employment and income effects of the Covid-19 pandemic and its associated containment measures. We identify four distinct employment experiences during the pandemic for those who were in the workforce just prior to the lockdown: no loss of employment (“No effect”), loss of employment followed by recovery (“Recovery”), loss of employment with no recovery (“No recovery”), and a delayed loss of employment (“Delayed job loss”). Overall, 54% of individuals experienced no job loss, while 30% lost work in April but recovered by August. 12% had not recovered employment as of August 2020. We analyse how these trajectories vary across different social and economic characteristics to quantify contractions and recovery in the labour market and the extent to which the vulnerabilities vary across different social groups, employment arrangements, and industries. We find that women were substantially more likely to lose employment as well as less likely to recover employment. Job loss was also more severe for lower castes as compared to intermediate and upper castes and for daily wage workers as compared to regular wage workers. Younger workers were particularly vulnerable to job loss compared to older workers. Having lost employment in April, younger workers were also less likely to recover employment in August. Finally, for those who were employed in both December 2019 and August 2020, we examine the changes in employment arrangements. We find a much greater frequency of transitions from wage employment to self-employment, more than that in the seasonally comparable period last year (Dec 2018 to Aug 2019). Our results call for urgent additional fiscal measures to counteract these effects.
Topic:
Economics, Labor Issues, Employment, Unemployment, Pandemic, Job Creation, and Consumerism
Political Geography:
India

5. Down and Out? The Gendered Impact of the Covid-19 Pandemic on India’s Labour Market

Author:
Rosa Abraham, Amit Basole, and Surbhi Kesar
Publication Date:
02-2021
Content Type:
Working Paper
Institution:
Centre for Sustainable Employment, Azim Premji University
Abstract:
The Covid-19 pandemic has created unprecedented disruptions in labour markets across the world including loss of employment and decline in incomes. Using panel data from India, we investigate the differential impact of the shock on labour market outcomes for male and female workers. We find that, conditional on being in the workforce prior to the pandemic, women were seven times more likely to lose work during the nationwide lockdown, and conditional on losing work, eleven times more likely to not return to work subsequently, compared to men. Using logit regressions on a sample stratified by gender, we find that daily wage and young workers, whether men or women, were more likely to face job loss. Education shielded male workers from job loss, whereas highly educated female workers were more vulnerable to job loss. Marriage had contrasting effects for men and women, with married women less likely to return to work and married men more likely to return to work. Religion and gender intersect to exacerbate the disproportionate impact, with Muslim women more likely to not return to work, unlike Muslim men where we find religion having no significant impact. Finally, for those workers who did return to work, we find that a large share of men in the workforce moved to self-employment or daily wage work, in agriculture, trade or construction. For women, on the other hand, there is limited movement into alternate employment arrangements or industries. This suggests that typical ‘fallback’ options for employment do not exist for women. During such a shock, women are forced to exit the workforce whereas men negotiate across industries and employment arrangements.
Topic:
Economics, Gender Issues, Labor Issues, Women, Employment, and Labor Market
Political Geography:
India

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