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The impact of local and foreign automation on labor market outcomes in emerging countries

Author

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  • Luis R. Diaz Pavez

    (Unversity of Goettingen)

  • Inmaculada Martinez-Zarzoso

    (Unievrsity of Goettingen and Universidad Jaume 1)

Abstract

In the XXI century, the labor market effects of automation have gained significant attention from scholars and policymakers alike. Concerns about potential negative effects are particularly relevant in emerging countries, where a rapid acceleration of robot adoption and an increasing involvement in global value chains have been observed in recent years, with the subsequent increase in exposure to foreign competition. This paper estimates the effect of local and foreign robots on labor market outcomes and labor shares using a panel dataset composed of 16 sectors and ten emerging countries from 2008 to 2014. The endogeneity of robots’ adoption is addressed with an instrumental variables approach and using a shift-share index of exposure to foreign robots. The main results for all sectors show that only foreign robot adoption, but not local, has affected employment, whereas no effects on the labor share are found. When exploring sectoral heterogeneity, we find that the foreign robots’ negative effect on employment has occurred in many sectors, being more prominent in those with higher exposure to foreign robots. Moreover, we found small and negative spillover effects of robots in other sectors on employment and wages in the newly industrialized countries examined. Finally, the results obtained when examining the sectoral heterogeneity of the effects show that the labor share is also affected in some sectors by both the use of robots in developed and emerging countries.

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  • Luis R. Diaz Pavez & Inmaculada Martinez-Zarzoso, 2023. "The impact of local and foreign automation on labor market outcomes in emerging countries," Working Papers 2023.01, International Network for Economic Research - INFER.
    • Handle: RePEc:inf:wpaper:2023.01
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    References listed on IDEAS

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    Cited by:

    1. Jurkat, Anne & Klump, Rainer & Schneider, Florian, 2023. "Robots and Wages: A Meta-Analysis," EconStor Preprints 274156, ZBW - Leibniz Information Centre for Economics.
    2. Pinheiro, Alexandra & Sochirca, Elena & Afonso, Oscar & Neves, Pedro Cunha, 2023. "Automation and off(re)shoring: A meta-regression analysis," International Journal of Production Economics, Elsevier, vol. 264(C).

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    More about this item

    Keywords

    Automation; Robots; Labor markets; Inequality; Emerging countries;
    All these keywords.

    JEL classification:

    • F - International Economics

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