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Technological change, automation and employment: A Short review of theory and evidence

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  • K.V. Ramaswamy

    (Indira Gandhi Institute of Development Research
    Institute of Economic Growth)

Abstract

A selective survey of recent papers in the area of technological change, automation and employment is presented. The objective is to convey analytical ideas and the empirical evidence that have informed studies in this area of contemporary policy relevance. Automation occurs when a machine does work that might previously have been done by a person. How robots and automation affect the availability of jobs for labor force? There are very few emerging studies that address the issue with detailed data on robots usage and employment in different sectors of the economy. Based on our review of available studies and empirical evidence the following statements can be made: (1) Increasing automation and robots adoption do not seem to cause loss of employment in the aggregate (2) Low skilled workers in routine jobs are more likely to suffer job losses. (3) There will be demand for new types of skilled workers or new specializations within occupations. Prospective automation intensifies the degree of uncertainty in labor markets across countries.

Suggested Citation

  • K.V. Ramaswamy, 2018. "Technological change, automation and employment: A Short review of theory and evidence," Indira Gandhi Institute of Development Research, Mumbai Working Papers 2018-002, Indira Gandhi Institute of Development Research, Mumbai, India.
    • Handle: RePEc:ind:igiwpp:2018-002
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    File URL: http://www.igidr.ac.in/pdf/publication/WP-2018-002.pdf
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    References listed on IDEAS

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    1. Georg Graetz & Guy Michaels, 2018. "Robots at Work," The Review of Economics and Statistics, MIT Press, vol. 100(5), pages 753-768, December.
    2. Maarten Goos & Alan Manning & Anna Salomons, 2014. "Explaining Job Polarization: Routine-Biased Technological Change and Offshoring," American Economic Review, American Economic Association, vol. 104(8), pages 2509-2526, August.
    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. 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. Daron Acemoglu, 2002. "Technical Change, Inequality, and the Labor Market," Journal of Economic Literature, American Economic Association, vol. 40(1), pages 7-72, March.
    6. Daron Acemoglu & Pascual Restrepo, 2016. "The Race Between Machine and Man: Implications of Technology for Growth, Factor Shares and Employment," NBER Working Papers 22252, National Bureau of Economic Research, Inc.
    7. Joel Mokyr & Chris Vickers & Nicolas L. Ziebarth, 2015. "The History of Technological Anxiety and the Future of Economic Growth: Is This Time Different?," Journal of Economic Perspectives, American Economic Association, vol. 29(3), pages 31-50, Summer.
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    Cited by:

    1. Weller, Jürgen, 2022. "Tendencias mundiales, pandemia de COVID-19 y desafíos de la inclusión laboral en América Latina y el Caribe," Documentos de Proyectos 48610, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL).
    2. Thomas Habanabakize & Zandri Dickason-Koekemoer, 2023. "The Role of Industrialization on Employment and Economic Growth in South Africa," International Journal of Economics and Financial Issues, Econjournals, vol. 13(6), pages 116-123, November.
    3. Ramesh Chandra Das & Kamal Ray, 2022. "Linkages Between Employment and Net FDI Inflow: Insights from Individual as Well as Panel Data for Emerging South Asian Labour Market," Global Business Review, International Management Institute, vol. 23(3), pages 785-803, June.
    4. Camiña, Ester & Díaz-Chao, Ángel & Torrent-Sellens, Joan, 2020. "Automation technologies: Long-term effects for Spanish industrial firms," Technological Forecasting and Social Change, Elsevier, vol. 151(C).

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    More about this item

    Keywords

    Technological change; Automation; Robots; Skill Bias; employment;
    All these keywords.

    JEL classification:

    • J20 - Labor and Demographic Economics - - Demand and Supply of Labor - - - General
    • 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
    • O30 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - General
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes

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