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Are machines stealing our jobs?

Author

Listed:
  • Andrea Gentili
  • Fabiano Compagnucci
  • Mauro Gallegati
  • Enzo Valentini

Abstract

This study aims to contribute empirical evidence to the debate about the future of work in an increasingly robotised world. We implement a data-driven approach to study the technological transition in six leading Organisation for Economic Co-operation and Development (OECD) countries. First, we perform a cross-country and cross-sector cluster analysis based on the OECD-STAN database. Second, using the International Federation of Robotics database, we bridge these results with those regarding the sectoral density of robots. We show that the process of robotisation is industry- and country-sensitive. In the future, participants in the political and academic debate may be split into optimists and pessimists regarding the future of human labour; however, the two stances may not be contradictory.

Suggested Citation

  • Andrea Gentili & Fabiano Compagnucci & Mauro Gallegati & Enzo Valentini, 2020. "Are machines stealing our jobs?," Cambridge Journal of Regions, Economy and Society, Cambridge Political Economy Society, vol. 13(1), pages 153-173.
    • Handle: RePEc:oup:cjrecs:v:13:y:2020:i:1:p:153-173.
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    File URL: http://hdl.handle.net/10.1093/cjres/rsz025
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    References listed on IDEAS

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    14. Fabiano Compagnucci & Andrea Gentili & Enzo Valentini & Mauro Gallegati, 2019. "Robotization and labour dislocation in the manufacturing sectors of OECD countries: a panel VAR approach," Applied Economics, Taylor & Francis Journals, vol. 51(57), pages 6127-6138, December.
    15. James Bessen, 2019. "Automation and jobs: when technology boosts employment," Economic Policy, CEPR, CESifo, Sciences Po;CES;MSH, vol. 34(100), pages 589-626.
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    Cited by:

    1. Davide Dottori, 2021. "Robots and employment: evidence from Italy," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 38(2), pages 739-795, July.
    2. 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.
    3. Capello, Roberta & Lenzi, Camilla & Perucca, Giovanni, 2022. "The modern Solow paradox. In search for explanations," Structural Change and Economic Dynamics, Elsevier, vol. 63(C), pages 166-180.
    4. Mauro Caselli & Andrea Fracasso & Sergio Scicchitano & Silvio Traverso & Enrico Tundis, 2021. "Stop worrying and love the robot: An activity-based approach to assess the impact of robotization on employment dynamics," DEM Working Papers 2021/06, Department of Economics and Management.
    5. 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.
    6. Fuchs Martina & Cumbers Andrew, 2023. "Digitalization and Labor Restructuring," ZFW – Advances in Economic Geography, De Gruyter, vol. 67(4), pages 173-176, December.

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