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Robots at work: the impact on productivity and jobs

Author

Listed:
  • Georg Graetz
  • Guy Michaels

Abstract

Robots may seem dangerous not only to cinema action heroes but also to the average manufacturing worker.To assess whether such concerns are well founded, Guy Michaels and Georg Graetz analyse the labour market effects of industrial robots, which have been widely adopted in the past 25 years.

Suggested Citation

  • Georg Graetz & Guy Michaels, 2015. "Robots at work: the impact on productivity and jobs," CentrePiece - The magazine for economic performance 447, Centre for Economic Performance, LSE.
    • Handle: RePEc:cep:cepcnp:447
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    File URL: https://cep.lse.ac.uk/pubs/download/cp447.pdf
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    Citations

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    Cited by:

    1. Naudé, Wim, 2017. "Entrepreneurship, Education and the Fourth Industrial Revolution in Africa," IZA Discussion Papers 10855, Institute of Labor Economics (IZA).
    2. Abeliansky, Ana Lucia & Prettner, Klaus, 2017. "Automation and demographic change," VfS Annual Conference 2017 (Vienna): Alternative Structures for Money and Banking 168215, Verein für Socialpolitik / German Economic Association.
    3. Prettner, Klaus & Strulik, Holger, 2017. "The lost race against the machine: Automation, education and inequality in an R&D-based growth model," Hohenheim Discussion Papers in Business, Economics and Social Sciences 08-2017, University of Hohenheim, Faculty of Business, Economics and Social Sciences.
    4. Gunther Tichy, 2016. "Geht der Arbeitsgesellschaft die Arbeit aus?," WIFO Monatsberichte (monthly reports), WIFO, vol. 89(12), pages 853-871, December.
    5. Weiming Zhang & Jiachao Peng & Lian Zhang, 2023. "Disruptive Displacement: The Impacts of Industrial Robots on the Energy Industry’s International Division of Labor from a Technological Complexity View," Energies, MDPI, vol. 16(8), pages 1-19, April.
    6. Feng Dong & Shengnan Zhang & Jiao Zhu & Jiaojiao Sun, 2021. "The Impact of the Integrated Development of AI and Energy Industry on Regional Energy Industry: A Case of China," IJERPH, MDPI, vol. 18(17), pages 1-24, August.
    7. Prettner, Klaus, 2016. "The implications of automation for economic growth and the labor share," Hohenheim Discussion Papers in Business, Economics and Social Sciences 18-2016, University of Hohenheim, Faculty of Business, Economics and Social Sciences.
    8. Kexu Wu & Zhiwei Tang & Longpeng Zhang, 2022. "Population Aging, Industrial Intelligence and Export Technology Complexity," Sustainability, MDPI, vol. 14(20), pages 1-24, October.
    9. Liu, Jun & Yang, Yuan-jun & Cao, Ya-ru & Forrest, Jeffrey Yi-Lin, 2021. "Stimulating effects of intelligent policy on the performance of listed manufacturing companies in China," Journal of Policy Modeling, Elsevier, vol. 43(3), pages 558-573.
    10. Irene Bertschek & Reiner Clement & Daniel Buhr & Hartmut Hirsch-Kreinsen & Oliver Falck & Alexandra Heimisch & Anita Jacob-Puchalska & Andreas Mazat, 2015. "Industry 4.0: The Digital Economy – Challenges and Opportunities for Businesses and the Working World," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 68(10), pages 03-18, May.
    11. Prettner, Klaus, 2016. "The implications of automation for economic growth and the labor share of income," ECON WPS - Working Papers in Economic Theory and Policy 04/2016, TU Wien, Institute of Statistics and Mathematical Methods in Economics, Economics Research Unit.
    12. Naude, Wim & Nagler, Paula, 2015. "Industrialisation, Innovation, Inclusion," MERIT Working Papers 2015-043, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    13. Aili Zhang & Xinyu Sun, 2022. "Analysis on the Next Generation of Artificial Intelligence Development Plan and Digital Financial Inclusion: Evidence from China," Journal of Applied Finance & Banking, SCIENPRESS Ltd, vol. 12(6), pages 1-1.
    14. Gasteiger, Emanuel & Prettner, Klaus, 2017. "A note on automation, stagnation, and the implications of a robot tax," Discussion Papers 2017/17, Free University Berlin, School of Business & Economics.
    15. Heyman, Fredrik, 2016. "Job polarization, job tasks and the role of firms," Economics Letters, Elsevier, vol. 145(C), pages 246-251.
    16. MORIKAWA Masayuki, 2016. "The Effects of Artificial Intelligence and Robotics on Business and Employment: Evidence from a survey on Japanese firms," Discussion papers 16066, Research Institute of Economy, Trade and Industry (RIETI).
    17. Dominique Méda, 2017. "The Future of work: The meaning and value of work in Europe," Working Papers hal-01616579, HAL.
    18. Bertschek, Irene & Briglauer, Wolfgang & Hüschelrath, Kai & Krämer, Jan & Frübing, Stefan & Kesler, Reinhold & Saam, Marianne, 2016. "Metastudie zum Fachdialog Ordnungsrahmen für die Digitale Wirtschaft: Im Auftrag des Bundesministeriums für Wirtschaft und Energie (BMWi)," ZEW Expertises, ZEW - Leibniz Centre for European Economic Research, number 147040.
    19. Thor Berger & Carl Benedikt Frey, 2016. "Structural Transformation in the OECD: Digitalisation, Deindustrialisation and the Future of Work," OECD Social, Employment and Migration Working Papers 193, OECD Publishing.
    20. Wolfgang Schwarzbauer, 2017. "Die Digitale Evolution," FIW Policy Brief series 034, FIW.
    21. Li, Feiyang & Lin, Ziyue & Huang, Liangxiong & Yang, Caiting, 2022. "Environmental regulation and global value chain division position：Analysis based on global transnational data," Energy Policy, Elsevier, vol. 168(C).
    22. MIYAKAWA Daisuke & MIYAUCHI Yuhei & Christian PEREZ, 2017. "Who Are Afraid of Losing Their Jobs to Artificial Intelligence and Robots? Evidence from a survey," Discussion papers 17069, Research Institute of Economy, Trade and Industry (RIETI).
    23. Yining Zhang & Zhong Wu, 2021. "Intelligence and Green Total Factor Productivity Based on China’s Province-Level Manufacturing Data," Sustainability, MDPI, vol. 13(9), pages 1-16, April.
    24. Gasteiger, Emanuel & Prettner, Klaus, 2017. "On the possibility of automation-induced stagnation," Hohenheim Discussion Papers in Business, Economics and Social Sciences 07-2017, University of Hohenheim, Faculty of Business, Economics and Social Sciences.

    More about this item

    Keywords

    Robots; productivity; technological change;
    All these keywords.

    JEL classification:

    • E23 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Production
    • J23 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Demand
    • O30 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - General

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