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Relevanz der Digitalisierung für die Bundesländer: Saarland, Thüringen und Baden-Württemberg haben den größten Anpassungsbedarf (Relevance of digitalisation for the federal states in Germany: Adjustments are particularly pressing in Saarland, Thuringia and Baden-Wuerttemberg)

Author

Listed:
  • Buch, Tanja

    (Institute for Employment Research (IAB), Nuremberg, Germany)

  • Dengler, Katharina

    (Institute for Employment Research (IAB), Nuremberg, Germany)

  • Matthes, Britta

    (Institute for Employment Research (IAB), Nuremberg, Germany)

Abstract

"The share of tasks that is at risk of computerisation considerably varies across occupations. Because of their specific economic and occupational structures, the potential for substitution is distributed unevenly among different employees in the federal states. Occupations are characterised by a high potential for substitution if currently more than 70 per cent of the tasks could be performed by computers. The share of employees in an occupation with a high potential for substitution varies across the federal states: between 8 per cent in Berlin and more than 20 per cent in Saarland. The higher the importance of manufacturing industries in a federal state, the higher is the share of employees in occupations with a high potential for substitution." (Author's abstract, IAB-Doku) ((en))

Suggested Citation

  • Buch, Tanja & Dengler, Katharina & Matthes, Britta, 2016. "Relevanz der Digitalisierung für die Bundesländer: Saarland, Thüringen und Baden-Württemberg haben den größten Anpassungsbedarf (Relevance of digitalisation for the federal states in Germany: Adjustme," IAB-Kurzbericht 201614, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    • Handle: RePEc:iab:iabkbe:201614
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    References listed on IDEAS

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    1. Melanie Arntz & Terry Gregory & Ulrich Zierahn, 2016. "The Risk of Automation for Jobs in OECD Countries: A Comparative Analysis," OECD Social, Employment and Migration Working Papers 189, OECD Publishing.
    2. Enzo Weber, 2015. "Industrie 4.0 – Wirkungen auf Wirtschaft und Arbeitsmarkt," Wirtschaftsdienst, Springer;ZBW - Leibniz Information Centre for Economics, vol. 95(11), pages 722-723, November.
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