[go: up one dir, main page]
More Web Proxy on the site http://driver.im/
IDEAS home Printed from https://ideas.repec.org/p/zbw/efisdi/12022.html
   My bibliography  Save this paper

Bildung und Qualifikation als Grundlage der technologischen Leistungsfähigkeit Deutschlands 2022

Author

Listed:
  • Kerst, Christian
  • Weilage, Insa
  • Gehrke, Birgit
Abstract
Die Studie zu Bildung und Qualifikation wird 2022 als Kurzstudie vorgelegt. Sie enthält wie in den Vorjahren die zentralen Indikatoren zur Qualifikationsstruktur der Erwerbstätigen im internationalen Vergleich. Erneut zeigt sich, dass der Anteil der Erwerbstätigen mit formal hohen (tertiären) Qualifikationen (ISCED 5 bis 8) in Deutschland deutlich niedriger ausfällt als in den OECD-Vergleichsländern. Dafür ist in Deutschland der Anteil qualitativ hochwertiger Abschlüsse mit berufsbildender Komponente im mittleren Qualifikationsbereiche (ISCED 3 und 4) besonders hoch. Die Studie enthält im zweiten Teil eine umfassende Darstellung hochschulstatistischer Kennzahlen zur Studiennachfrage und zur Entwicklung der Absolventenzahlen. Ein besonderes Augenmerk liegt dabei erneut auf der insbesondere in den weiterführenden Studiengängen Master und Promotion hohen Bildungsbeteiligung internationaler Studierender. Hier werden mit der zurückgehenden internationalen Studiennachfrage erste Auswirkungen der Corona-Pandemie erkennbar. Im dritten Teil der Studie werden Daten zur individuellen Teilnahme an Weiterbildung sowie zu weiterbildungsaktiven Betrieben berichtet.

Suggested Citation

  • Kerst, Christian & Weilage, Insa & Gehrke, Birgit, 2022. "Bildung und Qualifikation als Grundlage der technologischen Leistungsfähigkeit Deutschlands 2022," Studien zum deutschen Innovationssystem 1-2022, Expertenkommission Forschung und Innovation (EFI) - Commission of Experts for Research and Innovation, Berlin.
    • Handle: RePEc:zbw:efisdi:12022
    as

    Download full text from publisher

    File URL: https://www.econstor.eu/bitstream/10419/251355/1/1795356936.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Marco Vivarelli, 2014. "Innovation, Employment and Skills in Advanced and Developing Countries: A Survey of Economic Literature," Journal of Economic Issues, Taylor & Francis Journals, vol. 48(1), pages 123-154.
    2. Gehrke, Birgit & Kerst, Christian & Weilage, Insa, 2020. "Bildung und Qualifikation als Grundlage der technologischen Leistungsfähigkeit Deutschlands 2020 (Kurzstudie)," Studien zum deutschen Innovationssystem 1-2020, Expertenkommission Forschung und Innovation (EFI) - Commission of Experts for Research and Innovation, Berlin.
    3. Gehrke, Birgit & Kerst, Christian & Wieck, Markus & Trommer, Max & Weilage, Insa, 2019. "Bildung und Qualifikation als Grundlage der technologischen Leistungsfähigkeit Deutschlands 2019: Fortschreibung der Indikatoren mit ergänzenden Analysen zu Hochschulen in privater Trägerschaft und zu," Studien zum deutschen Innovationssystem 1-2019, Expertenkommission Forschung und Innovation (EFI) - Commission of Experts for Research and Innovation, Berlin.
    4. Gehrke, Birgit & John, Katrin & Kerst, Christian & Wieck, Markus & Sanders, Sandra & Winkelmann, Gert, 2017. "Bildung und Qualifikation als Grundlage der technologischen Leistungsfähigkeit Deutschlands 2017," Studien zum deutschen Innovationssystem 1-2017, Expertenkommission Forschung und Innovation (EFI) - Commission of Experts for Research and Innovation, Berlin.
    5. Gehrke, Birgit & Kerst, Christian & Wieck, Markus & Weilage, Insa, 2021. "Bildung und Qualifikation als Grundlage der technologischen Leistungsfähigkeit Deutschlands 2021: Fortschreibung der Indikatoren," Studien zum deutschen Innovationssystem 1-2021, Expertenkommission Forschung und Innovation (EFI) - Commission of Experts for Research and Innovation, Berlin.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ayhan, Fatih & Elal, Onuray, 2023. "The IMPACTS of technological change on employment: Evidence from OECD countries with panel data analysis," Technological Forecasting and Social Change, Elsevier, vol. 190(C).
    2. Biagi, Federico & Falk, Martin, 2017. "The impact of ICT and e-commerce on employment in Europe," Journal of Policy Modeling, Elsevier, vol. 39(1), pages 1-18.
    3. Luigi Aldieri & Concetto Paolo Vinci, 2019. "Firm Size and Sustainable Innovation: A Theoretical and Empirical Analysis," Sustainability, MDPI, vol. 11(10), pages 1-9, May.
    4. Silvia Vannutelli & Sergio Scicchitano & Marco Biagetti, 2022. "Routine-biased technological change and wage inequality: do workers’ perceptions matter?," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 12(3), pages 409-450, September.
    5. Bianchini, Stefano & Pellegrino, Gabriele, 2019. "Innovation persistence and employment dynamics," Research Policy, Elsevier, vol. 48(5), pages 1171-1186.
    6. Di Cataldo, Marco & Rodríguez-Pose, Andrés, 2016. "What drives employment growth and social inclusion in EU regions," LSE Research Online Documents on Economics 68510, London School of Economics and Political Science, LSE Library.
    7. Başak Dalgıç & Burcu Fazlıoğlu, 2021. "Innovation and firm growth: Turkish manufacturing and services SMEs," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 11(3), pages 395-419, September.
    8. Costantini, Valeria & Crespi, Francesco & Paglialunga, Elena, 2018. "The employment impact of private and public actions for energy efficiency: Evidence from European industries," Energy Policy, Elsevier, vol. 119(C), pages 250-267.
    9. Irwin, Kris & Gilstrap, Collin & McDowell, William & Drnevich, Paul & Gorbett, Abigail, 2022. "How knowledge and uncertainty affect strategic international business investment decisions: Implications for cross-border mergers and acquisitions," Journal of Business Research, Elsevier, vol. 139(C), pages 831-842.
    10. Alfredo Monte & Sara Moccia & Luca Pennacchio, 2022. "Regional entrepreneurship and innovation: historical roots and the impact on the growth of regions," Small Business Economics, Springer, vol. 58(1), pages 451-473, January.
    11. Mehmet Ugur & Sefa Awaworyi Churchill & Edna Solomon, 2018. "Technological Innovation And Employment In Derived Labour Demand Models: A Hierarchical Meta†Regression Analysis," Journal of Economic Surveys, Wiley Blackwell, vol. 32(1), pages 50-82, February.
    12. Komlos John, 2016. "Has Creative Destruction become more Destructive?," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 16(4), pages 1-12, October.
    13. Pantea, Smaranda & Sabadash, Anna & Biagi, Federico, 2017. "Are ICT displacing workers in the short run? Evidence from seven European countries," Information Economics and Policy, Elsevier, vol. 39(C), pages 36-44.
    14. Montobbio, Fabio & Staccioli, Jacopo & Virgillito, Maria Enrica & Vivarelli, Marco, 2022. "Robots and the origin of their labour-saving impact," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
    15. Avenyo, Elvis Korku & Konte, Maty & Mohnen, Pierre, 2019. "The employment impact of product innovations in sub-Saharan Africa: Firm-level evidence," Research Policy, Elsevier, vol. 48(9), pages 1-1.
    16. Giovanni DOSI & Maria Enrica VIRGILLITO, 2019. "Whither the evolution of the contemporary social fabric? New technologies and old socio‐economic trends," International Labour Review, International Labour Organization, vol. 158(4), pages 593-625, December.
    17. Gehrke, Birgit & John, Katrin & Kerst, Christian & Wieck, Markus & Sanders, Sandra & Winkelmann, Gert, 2017. "Bildung und Qualifikation als Grundlage der technologischen Leistungsfähigkeit Deutschlands 2017," Studien zum deutschen Innovationssystem 1-2017, Expertenkommission Forschung und Innovation (EFI) - Commission of Experts for Research and Innovation, Berlin.
    18. Silviano Esteve-Pérez & Fabio Pieri & Diego Rodriguez, 2022. "One swallow does not make a summer: episodes and persistence in high growth," Small Business Economics, Springer, vol. 58(3), pages 1517-1544, March.
    19. Ugur, Mehmet & Awaworyi, Sefa & Solomon, Edna, 2016. "Technological innovation and employment in derived labour demand models: A hierarchical meta-regression analysis," MPRA Paper 73557, University Library of Munich, Germany.
    20. Pi, Jiancai & Zhang, Pengqing, 2018. "Skill-biased technological change and wage inequality in developing countries," International Review of Economics & Finance, Elsevier, vol. 56(C), pages 347-362.

    More about this item

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:zbw:efisdi:12022. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: ZBW - Leibniz Information Centre for Economics (email available below). General contact details of provider: http://www.e-fi.de/index.php?id=1&L=1 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.