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Understanding Technological Unemployment: A Review of Causes, Consequences, and Solutions

Author

Listed:
  • Yuri Lima

    (Graduate School of Engineering (COPPE), Federal University of Rio de Janeiro (UFRJ), Rio de Janeiro 21941-901, Brazil)

  • Carlos Eduardo Barbosa

    (Graduate School of Engineering (COPPE), Federal University of Rio de Janeiro (UFRJ), Rio de Janeiro 21941-901, Brazil
    Center of Analysis of Naval Systems (CASNAV)—Brazilian Navy, São Paulo 552, Brazil)

  • Herbert Salazar dos Santos

    (Graduate School of Engineering (COPPE), Federal University of Rio de Janeiro (UFRJ), Rio de Janeiro 21941-901, Brazil)

  • Jano Moreira de Souza

    (Graduate School of Engineering (COPPE), Federal University of Rio de Janeiro (UFRJ), Rio de Janeiro 21941-901, Brazil)

Abstract

Many studies have focused on estimating the impact of automation on work around the world with results ranging widely. Despite the disagreement about the level of impact that automation will have, experts agree that new technologies tend to be applied to every economic sector, thus impacting work regardless of substituting or complementing it. The purpose of this study is to move on from the discussion about the size of the impact of automation to understanding the main social impacts that automation will cause and what actions should be taken to deal with them. For this purpose, we reviewed literature about technological unemployment found in Scopus and Web of Science published since 2000, presenting an academic view of the actions necessary to deal with the social impact of automation. Our results summarize causes, consequences, and solutions for the technological unemployment found in the literature. We also found that the literature is mainly concentrated on the areas of economy, sociology, and philosophy, with the authors situated in developed economies such as the USA, Europe, and New Zealand. Finally, we present the research agenda proposed by the reviewed papers that could motivate new research on the subject.

Suggested Citation

  • Yuri Lima & Carlos Eduardo Barbosa & Herbert Salazar dos Santos & Jano Moreira de Souza, 2021. "Understanding Technological Unemployment: A Review of Causes, Consequences, and Solutions," Societies, MDPI, vol. 11(2), pages 1-17, May.
  • Handle: RePEc:gam:jsoctx:v:11:y:2021:i:2:p:50-:d:559594
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    References listed on IDEAS

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    1. 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.
    2. Horst Feldmann, 2013. "Technological unemployment in industrial countries," Journal of Evolutionary Economics, Springer, vol. 23(5), pages 1099-1126, November.
    3. Alex Chernoff & Casey Warman, 2023. "COVID-19 and implications for automation," Applied Economics, Taylor & Francis Journals, vol. 55(17), pages 1939-1957, April.
    4. Frey, Carl Benedikt & Osborne, Michael A., 2017. "The future of employment: How susceptible are jobs to computerisation?," Technological Forecasting and Social Change, Elsevier, vol. 114(C), pages 254-280.
    5. 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.
    6. Focacci, Chiara Natalie, 2021. "Technological unemployment, robotisation, and green deal: A story of unstable spillovers in China and South Korea (2008–2018)," Technology in Society, Elsevier, vol. 64(C).
    7. Fabien Postel-Vinay, 2002. "The Dynamics of Technological Unemployment," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 43(3), pages 737-760, August.
    8. Diego Comin & Bart Hobijn, 2010. "An Exploration of Technology Diffusion," American Economic Review, American Economic Association, vol. 100(5), pages 2031-2059, December.
    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. Krings, Bettina-Johanna & Moniz, António & Frey, Philipp, 2021. "Technology as enabler of the automation of work? Current societal challenges for a future perspective of work [A tecnologia como facilitadora da automação do trabalho? Desafios sociais atuais para ," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 9(21), pages 7-30.
    11. Laura Carvalho & Corrado Di Guilmi, 2020. "Technological unemployment and income inequality: a stock-flow consistent agent-based approach," Journal of Evolutionary Economics, Springer, vol. 30(1), pages 39-73, January.
    12. Rostislav Kapeliushnikov, 2019. "The phantom of technological unemployment," Russian Journal of Economics, ARPHA Platform, vol. 5(1), pages 88-116, April.
    13. Tae Wan Kim & Alan Scheller-Wolf, 2019. "Technological Unemployment, Meaning in Life, Purpose of Business, and the Future of Stakeholders," Journal of Business Ethics, Springer, vol. 160(2), pages 319-337, December.
    14. Joel Blit, 2020. "Automation and Reallocation: Will COVID-19 Usher in the Future of Work?," Canadian Public Policy, University of Toronto Press, vol. 46(S2), pages 192-202, August.
    15. Ljubica Nedelkoska & Glenda Quintini, 2018. "Automation, skills use and training," OECD Social, Employment and Migration Working Papers 202, OECD Publishing.
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    1. Natalie Leesakul & Anne-Marie Oostveen & Iveta Eimontaite & Max L. Wilson & Richard Hyde, 2022. "Workplace 4.0: Exploring the Implications of Technology Adoption in Digital Manufacturing on a Sustainable Workforce," Sustainability, MDPI, vol. 14(6), pages 1-24, March.

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