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Determinants and impact of automation: An analysis of robots' adoption in OECD countries

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Abstract

This report analyses automation trends and its effect on employment in OECD countries. On average, robots are found to be associated with a reduction in employment in elementary occupations – those requiring the lowest levels of skills – and an increase in employment in high-skill occupation such as professionals and technicians. For occupations in the middle of the skills distribution the correlation is strong and negative. In general, therefore, these estimates do not support the hypothesis of labour market polarisation, i.e.: an increase in both high-skill and low-skill employment. However, in a few countries - notably the United States - this report finds evidence of labour market polarisation.

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  • Oecd, 2019. "Determinants and impact of automation: An analysis of robots' adoption in OECD countries," OECD Digital Economy Papers 277, OECD Publishing.
    • Handle: RePEc:oec:stiaab:277-en
    DOI: 10.1787/ef425cb0-en
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    Cited by:

    1. Ballestar, María Teresa & Díaz-Chao, Ángel & Sainz, Jorge & Torrent-Sellens, Joan, 2021. "Impact of robotics on manufacturing: A longitudinal machine learning perspective," Technological Forecasting and Social Change, Elsevier, vol. 162(C).
    2. Gilbert Cette & Aurélien Devillard & Vincenzo Spiezia, 2022. "Growth Factors in Developed Countries: A 1960–2019 Growth Accounting Decomposition," Comparative Economic Studies, Palgrave Macmillan;Association for Comparative Economic Studies, vol. 64(2), pages 159-185, June.
    3. Ayako Obashi & Fukunari Kimura, 2021. "New Developments in International Production Networks: Impact of Digital Technologies," Asian Economic Journal, East Asian Economic Association, vol. 35(2), pages 115-141, June.
    4. Fernández-Macías, Enrique & Klenert, David & Antón, José-Ignacio, 2021. "Not so disruptive yet? Characteristics, distribution and determinants of robots in Europe," Structural Change and Economic Dynamics, Elsevier, vol. 58(C), pages 76-89.
    5. Davide Antonioli & Alberto Marzucchi & Francesco Rentocchini & Simone Vannuccini, 2022. "Robot Adoption and Innovation Activities (last revised: December 2023)," Munich Papers in Political Economy 21, Munich School of Politics and Public Policy and the School of Management at the Technical University of Munich.
    6. 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.
    7. Anzolin, Guendalina & Andreoni, Antonio & Zanfei, Antonello, 2022. "What is driving robotisation in the automotive value chain? Empirical evidence on the role of FDIs and domestic capabilities in technology adoption," Technovation, Elsevier, vol. 115(C).

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