IDEAS home Printed from https://ideas.repec.org/a/sae/fbbsrw/v8y2019i1p9-16.html
   My bibliography  Save this article

Industry 4.0 and Future of Work in India

Author

Listed:
  • Balwant Singh Mehta
  • Ishwar Chandra Awasthi

Abstract

Jobless growth turning into job-loss growth and the recent evidence suggest that unemployment rate has shot off multiple times and the situation for educated youth, in particular, has become more severe. The situation is likely to worsen with emerging industry 4.0 technologies which are more skill-based and capital intensive in nature. The challenge is further compounded in the light of growing additions to labour force and inability to provide them suitable jobs. The inevitability of job losses with onslaught industry 4.0 technologies is likely to have big impact but much larger in the longer term. The evidences shows that pace of replacement of existing technologies is slower and selective in India and therefore the impact will be discernible in select sectors but it is going to proliferate in near future and that will demand new forms of knowledge, skills and competencies. In the emerging scenario, some occupation will die and others will emerge in newer forms. Clearly, this paper suggest that threatening of jobs is inescapable but this will require training-retraining of people in the newer forms of skills that is critical policy challenge to the government and other stakeholders such as companies and other employers.

Suggested Citation

  • Balwant Singh Mehta & Ishwar Chandra Awasthi, 2019. "Industry 4.0 and Future of Work in India," FIIB Business Review, , vol. 8(1), pages 9-16, March.
  • Handle: RePEc:sae:fbbsrw:v:8:y:2019:i:1:p:9-16
    DOI: 10.1177/2319714519830489
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/2319714519830489
    Download Restriction: no

    File URL: https://libkey.io/10.1177/2319714519830489?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Dev Nathan & Neetu Ahmed, 2018. "Technological Change and Employment: Creative Destruction," The Indian Journal of Labour Economics, Springer;The Indian Society of Labour Economics (ISLE), vol. 61(2), pages 281-298, June.
    2. David J. Deming, 2017. "The Growing Importance of Social Skills in the Labor Market," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 132(4), pages 1593-1640.
    3. Alexandra Spitz-Oener, 2006. "Technical Change, Job Tasks, and Rising Educational Demands: Looking outside the Wage Structure," Journal of Labor Economics, University of Chicago Press, vol. 24(2), pages 235-270, April.
    4. Melanie Arntz & Terry Gregory & Ulrich Zierahn, 2016. "The Risk of Automation for Jobs in OECD Countries: A Comparative Analysis," OECD Social, Employment and Migration Working Papers 189, OECD Publishing.
    5. Ghose, Ajit K., 2016. "India Employment Report 2016: Challenges and the Imperative of Manufacturing-Led Growth," OUP Catalogue, Oxford University Press, number 9780199472574.
    6. David H. Autor, 2015. "Why Are There Still So Many Jobs? The History and Future of Workplace Automation," Journal of Economic Perspectives, American Economic Association, vol. 29(3), pages 3-30, Summer.
    7. Nathan, Dev. & Ahmed, Neetu., 2018. "Technological change and employment creative destruction," ILO Working Papers 994980893502676, International Labour Organization.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Armanda Cetrulo & Dario Guarascio & Maria Enrica Virgillito, 2020. "Anatomy of the Italian occupational structure: concentrated power and distributed knowledge," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 29(6), pages 1345-1379.
    2. Eckhardt Bode & Stephan Brunow & Ingrid Ott & Alina Sorgner, 2019. "Worker Personality: Another Skill Bias beyond Education in the Digital Age," German Economic Review, Verein für Socialpolitik, vol. 20(4), pages 254-294, November.
    3. Maarten Goos & Melanie Arntz & Ulrich Zierahn & Terry Gregory & Stephanie Carretero Gomez & Ignacio Gonzalez Vazquez & Koen Jonkers, 2019. "The Impact of Technological Innovation on the Future of Work," JRC Working Papers on Labour, Education and Technology 2019-03, Joint Research Centre.
    4. Nicola Cassandro & Marco Centra & Dario Guarascio & Piero Esposito, 2021. "What drives employment–unemployment transitions? Evidence from Italian task-based data," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 38(3), pages 1109-1147, October.
    5. Wojciech Hardy & Roma Keister & Piotr Lewandowski, 2016. "Technology or Upskilling? Trends in the Task Composition of Jobs in Central and Eastern Europe," HKUST IEMS Working Paper Series 2016-40, HKUST Institute for Emerging Market Studies, revised Dec 2016.
    6. Blanas, Sotiris & Oikonomou, Rigas, 2023. "COVID-induced economic uncertainty, tasks and occupational demand," Labour Economics, Elsevier, vol. 81(C).
    7. Songul Tolan & Annarosa Pesole & Fernando Martinez-Plumed & Enrique Fernandez-Macias & José Hernandez-Orallo & Emilia Gomez, 2020. "Measuring the Occupational Impact of AI: Tasks, Cognitive Abilities and AI Benchmarks," JRC Working Papers on Labour, Education and Technology 2020-02, Joint Research Centre.
    8. Jens Prüfer & Patricia Prüfer, 2020. "Data science for entrepreneurship research: studying demand dynamics for entrepreneurial skills in the Netherlands," Small Business Economics, Springer, vol. 55(3), pages 651-672, October.
    9. Consoli, Davide & Marin, Giovanni & Rentocchini, Francesco & Vona, Francesco, 2023. "Routinization, within-occupation task changes and long-run employment dynamics," Research Policy, Elsevier, vol. 52(1).
    10. Lorenz, Hanno & Stephany, Fabian, 2018. "Back to the future: Changing job profiles in the digital age," Working Papers 13, Agenda Austria.
    11. Hensvik, Lena & Skans, Oskar Nordström, 2023. "The skill-specific impact of past and projected occupational decline," Labour Economics, Elsevier, vol. 81(C).
    12. Arntz, Melanie & Gregory, Terry & Zierahn, Ulrich, 2019. "Digitalization and the Future of Work: Macroeconomic Consequences," IZA Discussion Papers 12428, Institute of Labor Economics (IZA).
    13. Enrique Fernandez-Macias & Martina Bisello, 2020. "A Taxonomy of Tasks for Assessing the Impact of New Technologies on Work," JRC Working Papers on Labour, Education and Technology 2020-04, Joint Research Centre.
    14. Fossen, Frank M. & Sorgner, Alina, 2019. "New Digital Technologies and Heterogeneous Employment and Wage Dynamics in the United States: Evidence from Individual-Level Data," IZA Discussion Papers 12242, Institute of Labor Economics (IZA).
    15. Falck, Oliver & Heimisch-Roecker, Alexandra & Wiederhold, Simon, 2021. "Returns to ICT skills," Research Policy, Elsevier, vol. 50(7).
    16. Bertin Martens & Songul Tolan, 2018. "Will this time be different? A review of the literature on the Impact of Artificial Intelligence on Employment, Incomes and Growth," JRC Working Papers on Digital Economy 2018-08, Joint Research Centre.
    17. Cirillo, Valeria & Evangelista, Rinaldo & Guarascio, Dario & Sostero, Matteo, 2021. "Digitalization, routineness and employment: An exploration on Italian task-based data," Research Policy, Elsevier, vol. 50(7).
    18. Ben Vermeulen & Jan Kesselhut & Andreas Pyka & Pier Paolo Saviotti, 2018. "The Impact of Automation on Employment: Just the Usual Structural Change?," Sustainability, MDPI, vol. 10(5), pages 1-27, May.
    19. Gunther Tichy, 2016. "Geht der Arbeitsgesellschaft die Arbeit aus?," WIFO Monatsberichte (monthly reports), WIFO, vol. 89(12), pages 853-871, December.
    20. Zilian, Laura S. & Zilian, Stella S. & Jäger, Georg, 2021. "Labour market polarisation revisited: evidence from Austrian vacancy data," Journal for Labour Market Research, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany], vol. 55, pages 1-7.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:sae:fbbsrw:v:8:y:2019:i:1:p:9-16. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: SAGE Publications (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.