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New Technologies, Migration and Labour Market Adjustment: An Intra-European Perspective

Author

Listed:
  • Antea Barišić
  • Mahdi Ghodsi

    (The Vienna Institute for International Economic Studies, wiiw)

  • Michael Landesmann

    (The Vienna Institute for International Economic Studies, wiiw)

  • Alireza Sabouniha

    (The Vienna Institute for International Economic Studies, wiiw)

  • Robert Stehrer

    (The Vienna Institute for International Economic Studies, wiiw)

Abstract
In this note, we study the relationship between the use of new technologies (e.g. robots and various ICT assets), labour demand and migration patterns. The adoption of new technologies might change the demand for labour in various ways, which in turn will have an impact on skill composition and wage levels of different types of workers. We report the main results from a study that first analyses the impact of robot adoption on wages by sector and skills. Second, we study the impact of robot adoption in manufacturing industries on the attraction of migrants while controlling for other factors in the labour demand function. This is followed by an analysis of push and pull factors of bilateral migration that focuses on the impact of relative automation gaps across countries. Finally, using the OeNB Euro Survey, we examine determinants of the intention to migrate and the role of income differentials between the countries of origin and destination.

Suggested Citation

  • Antea Barišić & Mahdi Ghodsi & Michael Landesmann & Alireza Sabouniha & Robert Stehrer, 2024. "New Technologies, Migration and Labour Market Adjustment: An Intra-European Perspective," wiiw Policy Notes 77, The Vienna Institute for International Economic Studies, wiiw.
    • Handle: RePEc:wii:pnotes:pn:77
    as

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    References listed on IDEAS

    as
    1. David Autor & Anna Salomons, 2018. "Is Automation Labor-Displacing? Productivity Growth, Employment, and the Labor Share," NBER Working Papers 24871, National Bureau of Economic Research, Inc.
    2. Philippe Aghion & Céline Antonin & Simon Bunel, 2019. "Artificial Intelligence, Growth and Employment: The Role of Policy," Economie et Statistique / Economics and Statistics, Institut National de la Statistique et des Etudes Economiques (INSEE), issue 510-511-5, pages 149-164.
    3. Richard Grieveson & Sandra M. Leitner & Robert Stehrer, 2019. "EU Faces a Tough Demographic Reckoning," wiiw Policy Notes 30, The Vienna Institute for International Economic Studies, wiiw.
    4. David H. Autor & Frank Levy & Richard J. Murnane, 2003. "The skill content of recent technological change: an empirical exploration," Proceedings, Federal Reserve Bank of San Francisco, issue Nov.
    5. Gaetano Basso & Giovanni Peri & Ahmed S. Rahman, 2020. "Computerization and immigration: Theory and evidence from the United States," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 53(4), pages 1457-1494, November.
    6. Daron Acemoglu & Pascual Restrepo, 2018. "The Race between Man and Machine: Implications of Technology for Growth, Factor Shares, and Employment," American Economic Review, American Economic Association, vol. 108(6), pages 1488-1542, June.
    7. Ernst Ekkehardt & Merola Rossana & Samaan Daniel, 2019. "Economics of Artificial Intelligence: Implications for the Future of Work," IZA Journal of Labor Policy, Sciendo & Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 9(1), pages 1-35, June.
    8. Blundell, Richard & Bond, Stephen, 1998. "Initial conditions and moment restrictions in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 87(1), pages 115-143, August.
    9. 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.
    10. repec:hal:spmain:info:hdl:2441/7n49nkmngd8448a5ts5gt5ade0 is not listed on IDEAS
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    More about this item

    Keywords

    Migration; migrant jobs; wages; employment; novel technologies; adoption of robots; digitalisation; European labour markets; Central Eastern European countries;
    All these keywords.

    JEL classification:

    • F22 - International Economics - - International Factor Movements and International Business - - - International Migration
    • F66 - International Economics - - Economic Impacts of Globalization - - - Labor
    • J61 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Geographic Labor Mobility; Immigrant Workers
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • J20 - Labor and Demographic Economics - - Demand and Supply of Labor - - - General
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes

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