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Industrial robots, workers' safety, and health
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| Authors and Corporations: | , , , |
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| Other Authors: | Giuntella, Osea [Author] • Stella, Luca [Author] • Wang, Tianyi [Author] |
| Type of Resource: | E-Book |
| Language: | English |
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Deutsches Institut für Wirtschaftsforschung: SOEP papers on multidisciplinary panel data research ; 1107 (2020)
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| Source: | Verbunddaten SWB Lizenzfreie Online-Ressourcen |
| Summary: | This study explores the relationship between the adoption of industrial robots and workplace injuries using data from the United States (US) and Germany. Our empirical analyses, based on establishment-level data for the US, suggest that a one standard deviation increase in robot exposure reduces work-related injuries by approximately 16%. These results are driven by manufacturing firms (-28%), while we detect no impact on sectors that were less exposed to industrial robots. We also show that the US counties that are more exposed to robot penetration experience a significant increase in drug- or alcohol-related deaths and mental health problems, consistent with the extant evidence of negative effects on labor market outcomes in the US. Employing individual longitudinal data from Germany, we exploit within-individual changes in robot exposure and document similar effects on job physical intensity (-4%) and disability (-5%), but no evidence of significant effects on mental health and work and life satisfaction, consistent with the lack of significant impacts of robot penetration on labor market outcomes in Germany. |
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| Physical Description: | 1 Online-Ressource (circa 47 Seiten); Illustrationen |