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Are they coming for us? Industrial robots and the mental health of workers

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  • Abeliansky, Ana Lucia
  • Beulmann, Matthias

Abstract

We investigate how an increase in the robot intensity (the ratio of industrial robots over employment) affects the self-reported mental health of workers in Germany. To do so, we combine individual mental health data from the German Socioeconomic Panel with the deliveries of robots to 21 German manufacturing sectors provided by the International Federation of Robotics for the period 2002-2014 (every two years). Controlling for a range of individual and sectoral characteristics, and employing individual-, time- and sectoral fixed effects, we find that an increase in robot intensity of 10% is associated with an average decrease of 0.59% of the average mental health standard deviation. This suggests that in a fast automating sector (i.e. rubber and plastics), where the robot intensity increased by approximately 2000%, mental health would have decreased by 118% of one standard deviation. This effect seems to be driven by job security fears of individuals working in noninteractive jobs and the fear of a decline in an individual's economic situation. Moreover, further sample divisions into low, middle and high occupational groups shows that the negative effects are affecting mostly the middle-level occupational group. Splitting the sample according to different age groups shows that the mental health of younger workers is the most vulnerable to an increase in automation. Results are also robust to instrumenting the stock of robots, and to different changes in the sample.

Suggested Citation

  • Abeliansky, Ana Lucia & Beulmann, Matthias, 2019. "Are they coming for us? Industrial robots and the mental health of workers," University of Göttingen Working Papers in Economics 379, University of Goettingen, Department of Economics.
  • Handle: RePEc:zbw:cegedp:379
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    2. Qiren Liu & Sen Luo & Robert Seamans, 2023. "Pain or Anxiety? The Health Consequences of Rising Robot Adoption in China," Papers 2301.10675, arXiv.org.
    3. Grossmann, Volker & Strulik, Holger, 2021. "Illicit drugs and the decline of the middle class," Journal of Economic Behavior & Organization, Elsevier, vol. 183(C), pages 718-743.
    4. Gihleb, Rania & Giuntella, Osea & Stella, Luca & Wang, Tianyi, 2022. "Industrial robots, Workers’ safety, and health," Labour Economics, Elsevier, vol. 78(C).
    5. Henrik Schwabe & Fulvio Castellacci, 2020. "Automation, workers’ skills and job satisfaction," PLOS ONE, Public Library of Science, vol. 15(11), pages 1-26, November.
    6. Vincent FRIGANT, 2019. "Industry 4.0, towards a de-globalization of value chains? Expected effects of advanced industrial robotics and additive manufacturing on the coordination system," Cahiers du GREThA (2007-2019) 2019-12, Groupe de Recherche en Economie Théorique et Appliquée (GREThA).
    7. Dengler, Katharina & Hiesinger, Karolin & Tisch, Anita, 2022. "Digital transformation: The role of computer use in employee health," Economics & Human Biology, Elsevier, vol. 46(C).
    8. Seong-Uk Baek & Jin-Ha Yoon & Jong-Uk Won, 2022. "Association between Workers’ Anxiety over Technological Automation and Sleep Disturbance: Results from a Nationally Representative Survey," IJERPH, MDPI, vol. 19(16), pages 1-12, August.
    9. Anna Matysiak & Daniela Bellani & Honorata Bogusz, 2023. "Industrial Robots and Regional Fertility in European Countries," European Journal of Population, Springer;European Association for Population Studies, vol. 39(1), pages 1-36, December.
    10. Sylvie Blasco, 2022. "Replaced or depressed? The effect of automation risk on workers' mental health," French Stata Users' Group Meetings 2022 09, Stata Users Group.
    11. Klump, Rainer & Jurkat, Anne & Schneider, Florian, 2021. "Tracking the rise of robots: A survey of the IFR database and its applications," MPRA Paper 110390, University Library of Munich, Germany.
    12. Anna Matysiak & Daniela Bellani & Honorata Bogusz, 2022. "Industrial robots and fertility in European countries," Working Papers 2022-26, Faculty of Economic Sciences, University of Warsaw.
    13. Blasco, Sylvie & Rochut, Julie & Rouland, Benedicte, 2022. "Displaced or Depressed? The Effect of Working in Automatable Jobs on Mental Health," IZA Discussion Papers 15434, Institute of Labor Economics (IZA).

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    More about this item

    Keywords

    Mental Health; Industrial Robots; Germany; Job Loss Fear; Job Polarization;
    All these keywords.

    JEL classification:

    • I10 - Health, Education, and Welfare - - Health - - - General
    • O30 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - General
    • I31 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - General Welfare, Well-Being
    • J6 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers

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