IDEAS home Printed from https://ideas.repec.org/p/osf/socarx/h9gaw.html
   My bibliography  Save this paper

Automation and Labour in India: Policy Implications of Job Polarisation pre and post COVID-19 crisis

Author

Listed:
  • Nippani, Abishek

Abstract

Advancements in ICTs have heightened the potential of such technology to automate jobs and render labour redundant en masse, uniting the concerns of sociologists, policy makers, and economists alike. Realistically, however, concern revolves not around redundancy of labour, but the polarising effect automation exerts on jobs. This polarisation stems from the claim that automation 'hollows out' mid-skill jobs, thereby increasing demand for high- and low- skill jobs. Job polarisation widens wage disparity, lowers the aggregate skill level of labour and exacerbates existing social inequalities. Proponents of laissez-faire automation argue that while automation may exert adverse effects on labour in the short run, it is bound to realise higher net benefits and employment in the long run. Such an understanding which is based on the Schumpterian notion of creative destruction is predicated on the fact that firms would adopt only such technology which bring about substantial strides in productivity. However, world over and in India firms have been merely substituting labour with capital, without any greater efficiency gains. This trend is only set to worsen with the ongoing health crisis due to varied reasons. In such a situation, it becomes imperative to design novel methods of social security.

Suggested Citation

  • Nippani, Abishek, 2020. "Automation and Labour in India: Policy Implications of Job Polarisation pre and post COVID-19 crisis," SocArXiv h9gaw, Center for Open Science.
  • Handle: RePEc:osf:socarx:h9gaw
    DOI: 10.31219/osf.io/h9gaw
    as

    Download full text from publisher

    File URL: https://osf.io/download/5f2e42a8479288006b85f192/
    Download Restriction: no

    File URL: https://libkey.io/10.31219/osf.io/h9gaw?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. Daron Acemoglu & Pascual Restrepo, 2020. "The wrong kind of AI? Artificial intelligence and the future of labour demand," Cambridge Journal of Regions, Economy and Society, Cambridge Political Economy Society, vol. 13(1), pages 25-35.
    2. Daron Acemoglu & Pascual Restrepo, 2019. "Automation and New Tasks: How Technology Displaces and Reinstates Labor," Journal of Economic Perspectives, American Economic Association, vol. 33(2), pages 3-30, Spring.
    3. Francis Kuriakose & Deepa Kylasam Iyer, 2020. "Job Polarisation in India: Structural Causes and Policy Implications," The Indian Journal of Labour Economics, Springer;The Indian Society of Labour Economics (ISLE), vol. 63(2), pages 247-266, June.
    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. Janine Berg & Francis Green & Laura Nurski & David A Spencer, 2023. "Risks to job quality from digital technologies: Are industrial relations in Europe ready for the challenge?," European Journal of Industrial Relations, , vol. 29(4), pages 347-365, December.
    2. Li, Chengming & Huo, Peng & Wang, Zeyu & Zhang, Weiguang & Liang, Feiyan & Mardani, Abbas, 2023. "Digitalization generates equality? Enterprises’ digital transformation, financing constraints, and labor share in China," Journal of Business Research, Elsevier, vol. 163(C).
    3. Yuan, Sai & Zhou, Ran & Li, Mengna & Lv, Chengchao, 2023. "Investigating the influence of digital technology application on employee compensation," Technological Forecasting and Social Change, Elsevier, vol. 195(C).
    4. Usabiaga, Carlos & Núñez, Fernando & Arendt, Lukasz & Gałecka-Burdziak, Ewa & Pater, Robert, 2022. "Skill requirements and labour polarisation: An association analysis based on Polish online job offers," Economic Modelling, Elsevier, vol. 115(C).
    5. Jasmine Mondolo, 2022. "The composite link between technological change and employment: A survey of the literature," Journal of Economic Surveys, Wiley Blackwell, vol. 36(4), pages 1027-1068, September.
    6. Wang, Linhui & Wang, Hui & Cao, Zhanglu & He, Yongda & Dong, Zhiqing & Wang, Shixiang, 2022. "Can industrial intellectualization reduce carbon emissions? — Empirical evidence from the perspective of carbon total factor productivity in China," Technological Forecasting and Social Change, Elsevier, vol. 184(C).
    7. A. A. Ternikov, 2023. "Artificial intelligence and the demand for skills in Russia," Voprosy Ekonomiki, NP Voprosy Ekonomiki, issue 11.
    8. Giovanna Ciaffi & Matteo Deleidi & Stefano Di Bucchianico, 2022. "Stagnation despite ongoing innovation: Is R&D expenditure composition a missing link? An empirical analysis for the US (1948-2019)," Department of Economics University of Siena 877, Department of Economics, University of Siena.
    9. Wang, Linhui & Cao, Zhanglu & Dong, Zhiqing, 2023. "Are artificial intelligence dividends evenly distributed between profits and wages? Evidence from the private enterprise survey data in China," Structural Change and Economic Dynamics, Elsevier, vol. 66(C), pages 342-356.
    10. Katya Klinova & Anton Korinek, 2021. "AI and Shared Prosperity," Papers 2105.08475, arXiv.org.
    11. Stefan Jestl, 2022. "Industrial Robots, and Information and Communication Technology: The Employment Effects in EU Labour Markets," wiiw Working Papers 215, The Vienna Institute for International Economic Studies, wiiw.
    12. László Czaller & Rikard H. Eriksson & Balázs Lengyel, 2021. "Reducing automation risk through career mobility: Where and for whom?," Papers in Regional Science, Wiley Blackwell, vol. 100(6), pages 1545-1569, December.
    13. Jean-Philippe Deranty & Thomas Corbin, 2022. "Artificial Intelligence and work: a critical review of recent research from the social sciences," Papers 2204.00419, arXiv.org.
    14. Yituan Liu & Yabin Bian & Wenhao Zhang, 2022. "How Does Enterprises’ Digital Transformation Impact the Educational Structure of Employees? Evidence from China," Sustainability, MDPI, vol. 14(15), pages 1-25, August.
    15. Bürgisser, Reto, 2023. "Policy Responses to Technological Change in the Workplace," SocArXiv kwxn2, Center for Open Science.
    16. Genz, Sabrina & Schnabel, Claus, 2023. "Digitalization is not gender-neutral," Economics Letters, Elsevier, vol. 230(C).
    17. Barth, Erling & Davis, James C. & Freeman, Richard B. & McElheran, Kristina, 2023. "Twisting the demand curve: Digitalization and the older workforce," Journal of Econometrics, Elsevier, vol. 233(2), pages 443-467.
    18. Radu Vranceanu & Angela Sutan, 2023. "Should the firm or the employee pay for upskilling? A contract theory approach," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 44(1), pages 197-207, January.
    19. Czarnitzki, Dirk & Fernández, Gastón P. & Rammer, Christian, 2023. "Artificial intelligence and firm-level productivity," Journal of Economic Behavior & Organization, Elsevier, vol. 211(C), pages 188-205.
    20. Juan F. Jimeno, 2019. "Fewer babies and more robots: economic growth in a new era of demographic and technological changes," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 10(2), pages 93-114, June.

    More about this item

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    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:osf:socarx:h9gaw. 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: OSF (email available below). General contact details of provider: https://arabixiv.org .

    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.