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    EIB Working Paper 2022/07 - Corporate training and skill gaps

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    Author(s)
    European Investment Bank
    Collection
    Knowledge Unlatched (KU)
    Language
    English
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    Abstract
    "The availability of talent and skills has been a significant investment obstacle for firms across the EU over the years, with several sources highlighting the persistence and prevalence of skill shortages. In this paper, we use the European Investment Bank’s Investment Survey (EIBIS) for the empirical analysis, which allows tracking corporate training investment on a yearly basis. To understand the reasons for firms’ decision to invest in their workforce, we examine transition patterns and employ dynamic panel data estimation. We also analyse the impact of COVID-19 on firms’ investment in workforce training and transitions in and out of training. Despite a slow upward trend in training investment observed in recent years supported by labour market recovery, differences across firms and countries have persisted. The pandemic risks aggravating these differences, through its uneven impact on labour markets and differences in corporate innovation, firm structure and resilience. While firm training can be an important element for firms and their workforce to adjust to the post-pandemic environment, asymmetries in training investment could make it harder for those already lagging. The paper concludes with a discussion of policy implications."
    URI
    https://library.oapen.org/handle/20.500.12657/57828
    Keywords
    Business & Economics; Banks & Banking
    DOI
    10.2867/89269
    ISBN
    9789286153198, 9789286153198
    Publisher
    European Investment Bank
    Publisher website
    https://www.eib.org/en/publications/index.htm
    Publication date and place
    2022
    Classification
    Banking
    Rights
    All rights reserved
    • Harvested from KU

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    License

    • If not noted otherwise all contents are available under Attribution 4.0 International (CC BY 4.0)

    Credits

    • logo EU
    • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

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