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Robotisation and Workforce Dynamics

Analysing Employment and Wage Effects within Manufacturing Establishments

Datos Bibliográficos

ID2374885
AutoresMichael Otto (0000-0003-0212-0965, Friedrich-Alexander-Universität Erlangen-Nürnberg, autor de correspondencia), Meg Abraham (0000-0001-8081-946X, Friedrich-Alexander-Universität Erlangen-Nürnberg)
Año2025
Volumen39
Número6
Páginas1486-1512
Fecha de publicación2025-07-27
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaWork Employment and Society (JOURNAL)
Identificadores de la revistaISSN: 0950-0170 • E-ISSN: 1469-8722
EditorialSAGE Publications Inc (PUBLISHER)
DOI10.1177/09500170251351260
OpenAlexW4412674413
IdiomaEN
Referencias citadas46

This article explores the effects of increasing robot adoption on workforce composition, wages and wage inequality in the manufacturing sector. Using longitudinal data from the German Institute for Employment Research (IAB), industrial robot sales data and survey data from the IAB Establishment Panel, we examine the impact of robots on total employment and wage structures at the establishment level from 2008 to 2017. We find that while robotisation contributes to overall employment and wage growth, its effects vary across worker groups. High- and middle-skilled workers benefit more from employment and wage increases, whereas low-skilled and routine-intensive workers experience fewer gains. In contrast to skill-biased and task-biased technological change theories (SBTC and TBTC), robots do not significantly increase wage inequality within establishments. Instead, firms mitigate inequality, suggesting that organisational policies play a key role in shaping distributional outcomes. Works councils also influence wage dynamics, benefiting middle-skilled more than low-skilled workers

Business · Dynamics (music · Economic growth · Economics · Labour economics · Sociology · Wage · Workforce · Digital Economy and Work Transformation · Firm Innovation and Growth · Labor market dynamics and wage inequality

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