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Skills and global value chains: A characterisation

Author

Listed:
  • Robert Grundke

    (OECD)

  • Stéphanie Jamet

    (OECD)

  • Margarita Kalamova

    (OECD)

  • François Keslair

    (OECD)

  • Mariagrazia Squicciarini

    (OECD)

Abstract

This study follows a job task-based approach to measure the skills of individuals. It exploits information contained in the OECD Survey of Adult Skills (PIAAC) and conducts an exploratory state-of-the-art factor analysis to obtain six task-based skills indicators that are comparable across 31 countries. By combining the PIAAC-based skills indicators with OECD Trade in Value Added (TiVA) data, light is shed on the way skills and their distributions (at the country-industry level) relate to industry performance and to integration into global value chains (GVCs). The results underline the importance of cognitive skills such as literacy, numeracy and problem solving for any industry to thrive in the global economy. Also, a persistent and positive association with labour productivity and participation in GVCs is observed, at the industry level, for non-cognitive skills such as managing and communication skills, ICT skills and workers’ readiness to learn and to think creatively.

Suggested Citation

  • Robert Grundke & Stéphanie Jamet & Margarita Kalamova & François Keslair & Mariagrazia Squicciarini, 2017. "Skills and global value chains: A characterisation," OECD Science, Technology and Industry Working Papers 2017/05, OECD Publishing.
  • Handle: RePEc:oec:stiaaa:2017/05-en
    DOI: 10.1787/cdb5de9b-en
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    Cited by:

    1. Anita Prakash (ed.), 2019. "Asia-Europe Connectivity Vision 2025: Challenges and Opportunities," Books, Economic Research Institute for ASEAN and East Asia (ERIA), number 978-602-8660-91-4, July.
    2. Egana-delSol, Pablo & Bustelo, Monserrat & Ripani, Laura & Soler, Nicolas & Viollaz, Mariana, 2022. "Automation in Latin America: Are Women at Higher Risk of Losing Their Jobs?," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    3. Szabina Fodor & Ildikó Szabó & Katalin Ternai, 2021. "Competence-Oriented, Data-Driven Approach for Sustainable Development in University-Level Education," Sustainability, MDPI, vol. 13(17), pages 1-23, September.
    4. Filippo Bontadini & Rinaldo Evangelista & Valentina Meliciani & Maria Savona, 2021. "Asymmetries in Global Value Chain Integration, Technology and Employment Structures in Europe: Country and Sectoral Evidence," CESifo Working Paper Series 9438, CESifo.
    5. Yashiro, Naomitsu & Kyyrä, Tomi & Hwang, Hyunjeong & Tuomala, Juha, 2020. "Technology, Labour Market Institutions and Early Retirement: Evidence from Finland," IZA Discussion Papers 13990, Institute of Labor Economics (IZA).
    6. Ximena del Carpio & José A. Cuesta & Maurice D. Kugler & Gustavo Hernández & Gabriel Piraquive, 2022. "What Effects Could Global Value Chain and Digital Infrastructure Development Policies Have on Poverty and Inequality after COVID-19?," JRFM, MDPI, vol. 15(2), pages 1-29, January.
    7. Maria-Chiara Morandini & Anna Thum-Thysen & Anneleen Vandeplas, 2020. "Facing the Digital Transformation: Are Digital Skills Enough?," European Economy - Economic Briefs 054, Directorate General Economic and Financial Affairs (DG ECFIN), European Commission.

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