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Job Polarisation in India: Structural Causes and Policy Implications

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  • Francis Kuriakose

    (University of Cambridge)

  • Deepa Kylasam Iyer

    (University of Cambridge)

Abstract

Automation impacts wage levels at the micro-level and the structure of employment at the macro-level. Job polarisation is defined as the automation of ‘middle-skilled’ jobs that require routine cognitive and manual applications, whilst high- and low-skilled occupations are preserved. This paper examines the nature of job polarisation in India during the period 1983–2012 when Indian manufacturing sector was being automated. The research uses disaggregated data from National Sample Survey Office and examines the impact of supply-side factors such as nature of employment and presence of educated labour force. The study has three observations. First, the increased demand for high-skilled workers in the formal manufacturing sector is due to skill bias of technology and conforms to theoretical expectation. Second, the transition of agricultural labourers to low-skilled manufacturing sectors such as construction and textiles signals distress in traditional manufacturing sector to provide employment to these groups. Third, the over-supply of secondary and tertiary educated labour force has resulted in the squeezing out of middle-skilled workers from middle-skilled jobs to relatively low-skilled manufacturing and service occupations. This explains the persistence of routine occupations even after automation. The study concludes that in the Indian manufacturing sector, increased demand for high- and low-skilled jobs has coexisted with the middle-skilled jobs due to supply-side factors.

Suggested Citation

  • 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.
  • Handle: RePEc:spr:ijlaec:v:63:y:2020:i:2:d:10.1007_s41027-020-00216-7
    DOI: 10.1007/s41027-020-00216-7
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    1. Chamarbagwala, Rubiana, 2006. "Economic Liberalization and Wage Inequality in India," World Development, Elsevier, vol. 34(12), pages 1997-2015, December.
    2. James Markusen & Thomas F. Rutherford & David Tarr, 2017. "Trade and direct investment in producer services and the domestic market for expertise," World Scientific Book Chapters, in: Trade Policies for Development and Transition, chapter 19, pages 439-458, World Scientific Publishing Co. Pte. Ltd..
    3. David H. Autor & David Dorn, 2013. "The Growth of Low-Skill Service Jobs and the Polarization of the US Labor Market," American Economic Review, American Economic Association, vol. 103(5), pages 1553-1597, August.
    4. Eli Berman & Rohini Somanathan & Hong W. Tan, 2010. "Is Skill-Biased Technological Change Here Yet? Evidence from Indian Manufacturing in the 1990s," NBER Chapters, in: Contributions in Memory of Zvi Griliches, pages 299-321, National Bureau of Economic Research, Inc.
    5. Sher Singh Verick, 2017. "The puzzles and contradictions of the Indian labour market: What will the future of work look like?," ASARC Working Papers 2017-02, The Australian National University, Australia South Asia Research Centre.
    6. Maarten Goos & Alan Manning, 2007. "Lousy and Lovely Jobs: The Rising Polarization of Work in Britain," The Review of Economics and Statistics, MIT Press, vol. 89(1), pages 118-133, February.
    7. Azam, Mehtabul, 2012. "Changes in Wage Structure in Urban India, 1983–2004: A Quantile Regression Decomposition," World Development, Elsevier, vol. 40(6), pages 1135-1150.
    8. Autor, David & Dorn, David, 2009. "Inequality and Specialization: The Growth of Low-Skill Service Jobs in the United States," IZA Discussion Papers 4290, Institute of Labor Economics (IZA).
    9. Acemoglu, Daron & Autor, David, 2011. "Skills, Tasks and Technologies: Implications for Employment and Earnings," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 4, chapter 12, pages 1043-1171, Elsevier.
    10. Daron Acemoglu & Pascual Restrepo, 2018. "The Race between Man and Machine: Implications of Technology for Growth, Factor Shares, and Employment," American Economic Review, American Economic Association, vol. 108(6), pages 1488-1542, June.
    11. repec:adr:anecst:y:2005:i:79-80:p:12 is not listed on IDEAS
    12. Carlos Medina & Christian Manuel Posso Suárez, 2010. "Technical Change and Polarization of the Labor Market: Evidence for Brazil, Colombia and Mexico," Borradores de Economia 7269, Banco de la Republica.
    13. Jayan Thomas, 2013. "Explaining the ‘jobless’ growth in Indian manufacturing," Journal of the Asia Pacific Economy, Taylor & Francis Journals, vol. 18(4), pages 673-692.
    14. Pankaj Vashisht, 2015. "Creating Manufacturing Jobs in India: Has Openness to Trade Really Helped?," Working Papers id:7126, eSocialSciences.
    15. Kijima, Yoko, 2006. "Why did wage inequality increase? Evidence from urban India 1983-99," Journal of Development Economics, Elsevier, vol. 81(1), pages 97-117, October.
    16. Oesch, Daniel & Rodriguez Menes, Jorge, 2010. "Upgrading or polarization? Occupational change in Britain, Germany, Spain and Switzerland, 1990-2008," MPRA Paper 21040, University Library of Munich, Germany.
    17. Simon Gilchrist & John C. Williams, 2000. "Putty-Clay and Investment: A Business Cycle Analysis," Journal of Political Economy, University of Chicago Press, vol. 108(5), pages 928-960, October.
    18. Charles I. Jones, 2005. "The Shape of Production Functions and the Direction of Technical Change," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 120(2), pages 517-549.
    19. Adrian Adermon & Magnus Gustavsson, 2015. "Job Polarization and Task-Biased Technological Change: Evidence from Sweden, 1975–2005," Scandinavian Journal of Economics, Wiley Blackwell, vol. 117(3), pages 878-917, July.
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    2. 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.
    3. Gupta, Pallavi & Kothe, Satyanarayan, 2021. "Gender Discrimination and the Biased Indian Labour Market: Evidence from the National Sample Survey," MPRA Paper 110205, University Library of Munich, Germany.

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    More about this item

    Keywords

    Automation; Job polarisation; Supply-side factors; Manufacturing; India;
    All these keywords.

    JEL classification:

    • J2 - Labor and Demographic Economics - - Demand and Supply of Labor
    • J23 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Demand
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • J3 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials
    • J4 - Labor and Demographic Economics - - Particular Labor Markets
    • J48 - Labor and Demographic Economics - - Particular Labor Markets - - - Particular Labor Markets; Public Policy
    • O3 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights
    • O32 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Management of Technological Innovation and R&D

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