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Robots, skill demand and manufacturing in US regional labour markets

Author

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  • Nancey Green Leigh
  • Benjamin Kraft
  • Heonyeong Lee

Abstract

Advances in robotics and artificial intelligence (AI) technology have spurred a re-examination of technology’s impacts on jobs and the economy. This article reviews several key contributions to the current jobs/AI debate, discusses their limitations and offers a modified approach, analysing two quantitative models in tandem. One uses robot stock data from the International Federation of Robotics as the primary indicator of robot use, whereas the other uses online job postings requiring robot-related skills. Together, the models suggest that since the Great Recession ended, robots have contributed positively to manufacturing employment in the USA at the metropolitan level.

Suggested Citation

  • Nancey Green Leigh & Benjamin Kraft & Heonyeong Lee, 2020. "Robots, skill demand and manufacturing in US regional labour markets," Cambridge Journal of Regions, Economy and Society, Cambridge Political Economy Society, vol. 13(1), pages 77-97.
    • Handle: RePEc:oup:cjrecs:v:13:y:2020:i:1:p:77-97.
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    File URL: http://hdl.handle.net/10.1093/cjres/rsz019
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    Citations

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    Cited by:

    1. Nikolas Zolas & Zachary Kroff & Erik Brynjolfsson & Kristina McElheran & David N. Beede & Cathy Buffington & Nathan Goldschlag & Lucia Foster & Emin Dinlersoz, 2020. "Advanced Technologies Adoption and Use by U.S. Firms: Evidence from the Annual Business Survey," NBER Working Papers 28290, National Bureau of Economic Research, Inc.
    2. Dario Guarascio & Alessandro Piccirillo & Jelena Reljic, 2024. "Will robot replace workers? Assessing the impact of robots on employment and wages with meta-analysis," LEM Papers Series 2024/03, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    3. Li, Yunjian & Song, Yixiao & Sun, Yanming & Zeng, Mingzhuo, 2024. "When do employees learn from artificial intelligence? The moderating effects of perceived enjoyment and task-related complexity," Technology in Society, Elsevier, vol. 77(C).
    4. 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.
    5. Jurkat, Anne & Klump, Rainer & Schneider, Florian, 2023. "Robots and Wages: A Meta-Analysis," EconStor Preprints 274156, ZBW - Leibniz Information Centre for Economics.
    6. Mariachiara Barzotto, 2024. "Educational (mis)match in the context of new manufacturing: A qualitative comparative analysis study in five European countries," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 29(2), pages 2116-2138, April.
    7. Judith Clifton & Amy Glasmeier & Mia Gray, 2020. "When machines think for us: the consequences for work and place," Cambridge Journal of Regions, Economy and Society, Cambridge Political Economy Society, vol. 13(1), pages 3-23.
    8. Decheng Fan & Kairan Liu, 2021. "The Relationship between Artificial Intelligence and China’s Sustainable Economic Growth: Focused on the Mediating Effects of Industrial Structural Change," Sustainability, MDPI, vol. 13(20), pages 1-15, October.
    9. Klump, Rainer & Jurkat, Anne & Schneider, Florian, 2021. "Tracking the rise of robots: A survey of the IFR database and its applications," MPRA Paper 110390, University Library of Munich, Germany.
    10. Filippi, Emilia & Bannò, Mariasole & Trento, Sandro, 2023. "Automation technologies and their impact on employment: A review, synthesis and future research agenda," Technological Forecasting and Social Change, Elsevier, vol. 191(C).

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