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Can Labour Productivity Impact India’s Gig Economy?

In: Sustainability in the Gig Economy

Author

Listed:
  • Isha Jaswal

    (Delhi Metropolitan Education (GGSIPU))

  • Upasana Singh

    (Delhi Metropolitan Education (GGSIPU))

Abstract

A huge inclination towards smartphone usage and increased digitalization has led to rapid emergence of gig professionals in the past few years who are rendering their freelance services via tech-based mediums. COVID-19 health pandemic has been the exponential boost to digitalization which has unleashed increased preference towards flexible jobs or working hours. With regard to its growth, industries and sectors have witnessed exponential rise in gig work. Internet/digitalization has enabled ‘gig economy’ service providers to find work that they could not engage into earlier. India is emerging as leading country for flexi-staffing or gig and platform according to the Economic Survey, 2020–21, launched by Government of India. Samiran Chakraborty, Citigroup’s Chief Economist for India, reported in Financial Express in 2018 that rise in production is dependent not only upon increase in labour pool but also in growth of labour productivity. TFP is an important factor to accelerate economic growth especially to pull the nations out from the current slowdown. The authors have attempted to analyse the rise in factor productivity on the Indian economy by general equilibrium analysis. For this, GTAP database is employed to evaluate the impact on Indian economy due to a productivity shock. Strikingly, demand for labour in majority of the sectors was found to decline, thus indicating that India’s gig economy might experience a potential boost.

Suggested Citation

  • Isha Jaswal & Upasana Singh, 2022. "Can Labour Productivity Impact India’s Gig Economy?," Springer Books, in: Ashish Gupta & Tavishi Tewary & Badri Narayanan Gopalakrishnan (ed.), Sustainability in the Gig Economy, pages 127-136, Springer.
    • Handle: RePEc:spr:sprchp:978-981-16-8406-7_9
    DOI: 10.1007/978-981-16-8406-7_9
    as

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