Sign in

Economic Survey's optimism on labour markets warrants caution

Data from quarterly PLFS rounds are available till the three months ended September 2022. Rural employment numbers, however, are released in the annual PLFS reports. These reports show tangible improvement on three key labour market statistics.

Updated on: Feb 2, 2023, 08:14:34 IST
By , New Delhi
Share
Share via
  • facebook
  • twitter
  • linkedin
  • whatsapp
Copy link
  • copy link

Have labour markets recovered from the pandemic shock? While the 2022-23 Economic Survey says they have, using statistics from the Periodic Labour Force Survey (PLFS), there is reason to be cautious about this claim. Here’s why.

Labour force participation rate (LFPR) and worker participation rate (WPR) were at their highest in the two quarters till September last year.
Labour force participation rate (LFPR) and worker participation rate (WPR) were at their highest in the two quarters till September last year.

Data from quarterly PLFS rounds are available till the three months ended September 2022. Rural employment numbers, however, are released in the annual PLFS reports. These reports show tangible improvement on three key labour market statistics.

Also Read | India’s Budget ray of hope in uncertain times: PM Modi

Labour force participation rate (LFPR) and worker participation rate (WPR) were at their highest in the two quarters till September last year. LFPR is the share of population working or looking for work, and WPR is the share of workers in the population. Unemployment rate was at its lowest level in both these quarters. These comparisons are made on annual basis rather than sequentially, as seasonal factors affect labour market conditions. “This trend highlights that the labour markets have recovered from the Covid-19 impact,” the survey said.

This trend highlights that the labour markets have recovered from the Covid-19 impact
This trend highlights that the labour markets have recovered from the Covid-19 impact

While there is nothing factually wrong with this claim, it might be missing the qualitative worsening in labour markets after the pandemic, as HT has been pointing out in its analysis of the quarterly PLFS rounds.

UNION BUDGET 2023: FULL COVERAGE

The share of salaried or regular wage urban workers, who are the best paid, was 48.6% and 48.7% in the first two quarters of 2022-23, the second-lowest and lowest in the quarterly bulletin data, and lower than in 2019-20, the financial year preceding the pandemic. On the other hand, the share of self-employed urban workers was higher than pre-pandemic levels.

The higher proportion of self-employed workers suggests that LFPR, WPR and unemployment rate numbers must be read with caution.
The higher proportion of self-employed workers suggests that LFPR, WPR and unemployment rate numbers must be read with caution.

The higher proportion of self-employed workers suggests that LFPR, WPR and unemployment rate numbers must be read with caution. Self-employed workers also include the subcategory of unpaid workers in family enterprises. Their share among urban workers has been higher than pre-pandemic levels after the lockdown-affected June quarter of 2020.

To be sure, the data on unpaid workers can be found only from the annual report, or the unit-level data of PLFS, which is available only up to June 2021. Therefore, it is difficult to comment with certainty on the nature of the recovery in urban labour markets, as HT has reported earlier (https://bit.ly/3HniDZy).

The Economic Survey has noted the decline in quality of employment in the annual data for June 2020-July 2021 and declining rural wages in real terms in 2022-23. The deterioration in quality of urban jobs is another alarming aspect of the labour markets, even as quantitative indicators continue to recover.

This is all the more important given the fact that domestic demand is expected to be the major driver of growth, as the global economy faces volatility in the year ahead.

  • 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