The impact of automation on labour market outcomes in emerging countries
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The impact of automation on labour market outcomes in emerging countriesFecha de publicación
2024-01Editor
WileyCita bibliográfica
DÍAZ PAVEZ, Luis R.; MARTÍNEZ‐ZARZOSO, Inmaculada. The impact of automation on labour market outcomes in emerging countries. The World Economy, 2024, vol. 47, no 1, p. 298-331.Tipo de documento
info:eu-repo/semantics/articleVersión de la editorial
https://onlinelibrary.wiley.com/doi/full/10.1111/twec.13523Versión
info:eu-repo/semantics/publishedVersionPalabras clave / Materias
Resumen
The labour market effects of automation have gained
significant attention from scholars and policymakers. Concerns about negative effects are important in
emerging countries, where a rapid acceleration of robot
a ... [+]
The labour market effects of automation have gained
significant attention from scholars and policymakers. Concerns about negative effects are important 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 labour market outcomes and labour 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 foreign robot adoption has negatively affected
employment in emerging countries. 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 inter-sectoral spillover effects of local robots on employment and wages. Finally, the results also
show that the labour share is affected in some sectors of
emerging countries by both the use of local and foreign
robots. [-]
Publicado en
The World Economy, 2024, vol. 47, no 1.Entidad financiadora
Ministerio de Ciencia e Innovación | Universitat Jaume I
Código del proyecto o subvención
ID2020-114646RB-C42 | UJI-B2020-57
Derechos de acceso
info:eu-repo/semantics/openAccess
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© 2023 The Authors. The World Economy published by John Wiley & Sons Ltd.