IDEAS home Printed from https://ideas.repec.org/a/sae/woemps/v35y2021i3p451-469.html
   My bibliography  Save this article

Upskilling, Deskilling or Polarisation? Evidence on Change in Skills in Europe

Author

Listed:
  • Žilvinas Martinaitis

    (Vilnius University and Visionary Analytics, Lithuania)

  • Aleksandr Christenko

    (Visionary Analytics, Lithuania)

  • Jonas AntanaviÄ ius

    (Visionary Analytics, Lithuania)

Abstract

What are the directions of change in the complexity of work and the required skill levels of the labour force in Europe? Three prominent strands of literature suggest conflicting expectations – upskilling, deskilling and polarisation. This question is answered by employing a novel work complexity indicator that measures how tasks are performed at work according to three dimensions: routinisation of tasks, autonomy at work and continuous skill-building. The measurements rely on the European Working Conditions Surveys carried out in 2005, 2010 and 2015. The results show that the European labour markets witness upskilling with some polarisation, although there are significant cross-national differences. They also show that, individually, neither shifts in work complexity within occupations (deskilling hypothesis), nor changes in employment structure (the focus of the upskilling and polarisation hypotheses) can provide an adequate view of trends in the European labour markets. Instead, both vectors of change should be analysed collectively.

Suggested Citation

  • Žilvinas Martinaitis & Aleksandr Christenko & Jonas AntanaviÄ ius, 2021. "Upskilling, Deskilling or Polarisation? Evidence on Change in Skills in Europe," Work, Employment & Society, British Sociological Association, vol. 35(3), pages 451-469, June.
    • Handle: RePEc:sae:woemps:v:35:y:2021:i:3:p:451-469
    DOI: 10.1177/0950017020937934
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/0950017020937934
    Download Restriction: no
    File URL: https://libkey.io/10.1177/0950017020937934?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. McIntosh, Steven & Vignoles, Anna, 2001. "Measuring and Assessing the Impact of Basic Skills on Labour Market Outcomes," Oxford Economic Papers, Oxford University Press, vol. 53(3), pages 453-481, July.
    2. Maria Molina-Domene, 2018. "Specialization matters in the firm size-wage gap," CEP Discussion Papers dp1545, Centre for Economic Performance, LSE.
    3. Mane, Ferran & Miravet, Daniel, 2016. "Using the job requirements approach and matched employer-employee data to investigate the content of individuals' human capital," Journal for Labour Market Research, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany], vol. 49(2), pages 133-155.
    4. Mane, Ferran & Miravet, Daniel, 2016. "Using the job requirements approach and matched employer-employee data to investigate the content of individuals' human capital," Journal for Labour Market Research, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany], vol. 49(2), pages 133-155.
    5. Lawrence F. Katz & Kevin M. Murphy, 1992. "Changes in Relative Wages, 1963–1987: Supply and Demand Factors," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 107(1), pages 35-78.
    6. Kremer, M & Maskin, E, 1996. "Wage Inequality and Segregation by Skill," Working papers 96-23, Massachusetts Institute of Technology (MIT), Department of Economics.
    7. David H. Autor & David Dorn, 2013. "The Growth of Low-Skill Service Jobs and the Polarization of the US Labor Market," American Economic Review, American Economic Association, vol. 103(5), pages 1553-1597, August.
    8. Molina-Domene, Maria, 2018. "Specialization matters in the firm size-wage gap," LSE Research Online Documents on Economics 88696, London School of Economics and Political Science, LSE Library.
    9. David H. Autor & Frank Levy & Richard J. Murnane, 2003. "The skill content of recent technological change: an empirical exploration," Proceedings, Federal Reserve Bank of San Francisco, issue Nov.
    10. Hanushek, Eric A. & Schwerdt, Guido & Wiederhold, Simon & Woessmann, Ludger, 2015. "Returns to skills around the world: Evidence from PIAAC," European Economic Review, Elsevier, vol. 73(C), pages 103-130.
    11. Glenda Quintini, 2014. "Skills at Work: How Skills and their Use Matter in the Labour Market," OECD Social, Employment and Migration Working Papers 158, OECD Publishing.
    12. Eli Bekman & John Bound & Stephen Machin, 1998. "Implications of Skill-Biased Technological Change: International Evidence," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 113(4), pages 1245-1279.
    13. David H. Autor & Michael J. Handel, 2013. "Putting Tasks to the Test: Human Capital, Job Tasks, and Wages," Journal of Labor Economics, University of Chicago Press, vol. 31(S1), pages 59-96.
    14. Adcock, Robert & Collier, David, 2001. "Measurement Validity: A Shared Standard for Qualitative and Quantitative Research," American Political Science Review, Cambridge University Press, vol. 95(3), pages 529-546, September.
    15. Ralph Stinebrickner & Todd Stinebrickner & Paul Sullivan, 2019. "Job Tasks, Time Allocation, and Wages," Journal of Labor Economics, University of Chicago Press, vol. 37(2), pages 399-433.
    16. Fonseca, Tiago & Lima, Francisco & Pereira, Sonia C., 2018. "Job polarization, technological change and routinization: Evidence for Portugal," Labour Economics, Elsevier, vol. 51(C), pages 317-339.
    17. Piero Esposito & Robert Stehrer, 2009. "The sector bias of skill-biased technical change and the rising skill premium in transition economies," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 36(3), pages 351-364, August.
    18. David H. Autor, 2015. "Why Are There Still So Many Jobs? The History and Future of Workplace Automation," Journal of Economic Perspectives, American Economic Association, vol. 29(3), pages 3-30, Summer.
    19. Maarten Goos & Alan Manning & Anna Salomons, 2014. "Explaining Job Polarization: Routine-Biased Technological Change and Offshoring," American Economic Review, American Economic Association, vol. 104(8), pages 2509-2526, August.
    20. Jerik Hanushek & Dennis Kimko, 2006. "Schooling, Labor-force Quality, and the Growth of Nations," Voprosy obrazovaniya / Educational Studies Moscow, National Research University Higher School of Economics, issue 1, pages 154-193.
    21. Acemoglu, Daron & Autor, David, 2011. "Skills, Tasks and Technologies: Implications for Employment and Earnings," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 4, chapter 12, pages 1043-1171, Elsevier.
    22. Daron Acemoglu, 2002. "Technical Change, Inequality, and the Labor Market," Journal of Economic Literature, American Economic Association, vol. 40(1), pages 7-72, March.
    23. Gary S. Becker, 1964. "Human Capital: A Theoretical and Empirical Analysis with Special Reference to Education, First Edition," NBER Books, National Bureau of Economic Research, Inc, number beck-5.
    24. Schultz, Theodore W, 1975. "The Value of the Ability to Deal with Disequilibria," Journal of Economic Literature, American Economic Association, vol. 13(3), pages 827-846, September.
    25. Hutter, Christian & Weber, Enzo, 2017. "The effects of skill-biased technical change on productivity flattening and hours worked," IAB-Discussion Paper 201732, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    26. Bonner, Sarah E., 1994. "A model of the effects of audit task complexity," Accounting, Organizations and Society, Elsevier, vol. 19(3), pages 213-234, April.
    27. Russo, Giovanni, 2016. "Job Design and Skill Developments in the Workplace," IZA Discussion Papers 10207, Institute of Labor Economics (IZA).
    28. Elias, Peter & McKnight, Abigail, 2001. "Skill Measurement in Official Statistics: Recent Developments in the UK and the Rest of Europe," Oxford Economic Papers, Oxford University Press, vol. 53(3), pages 508-540, July.
    29. Esposto, A., 2008. "Skill: An Elusive and Ambiguous Concept in Labour Market Studies," Australian Bulletin of Labour, National Institute of Labour Studies, vol. 34(1), pages 100-124.
    30. Jacob Mincer, 1958. "Investment in Human Capital and Personal Income Distribution," Journal of Political Economy, University of Chicago Press, vol. 66(4), pages 281-281.
    31. Koen Breemersch & Jože P. Damijan & Jozef Konings, 2017. "Labour Market Polarization in Advanced Countries: Impact of Global Value Chains, Technology, Import Competition from China and Labour Market Institutions," OECD Social, Employment and Migration Working Papers 197, OECD Publishing.
    32. Neto, Antonio & Afonso, Oscar & Silva, Sandra T., 2019. "How Powerful Are Trade Unions? A Skill-Biased Technological Change Approach," Macroeconomic Dynamics, Cambridge University Press, vol. 23(2), pages 730-774, March.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Leon, Ramona Diana, 2023. "Employees’ reskilling and upskilling for industry 5.0: Selecting the best professional development programmes," Technology in Society, Elsevier, vol. 75(C).
    2. Saverio Minardi & Carla Hornberg & Paolo Barbieri & Heike Solga, 2023. "The link between computer use and job satisfaction: The mediating role of job tasks and task discretion," British Journal of Industrial Relations, London School of Economics, vol. 61(4), pages 796-831, December.

    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. Tommaso AGASISTI & Geraint JOHNES & Marco PACCAGNELLA, 2021. "Tasks, occupations and wages in OECD countries," International Labour Review, International Labour Organization, vol. 160(1), pages 85-112, March.
    2. Antonio Martins-Neto & Nanditha Mathew & Pierre Mohnen & Tania Treibich, 2024. "Is There Job Polarization in Developing Economies? A Review and Outlook," The World Bank Research Observer, World Bank, vol. 39(2), pages 259-288.
    3. 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.
    4. David J. Deming, 2017. "The Growing Importance of Social Skills in the Labor Market," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 132(4), pages 1593-1640.
    5. Arntz, Melanie & Gregory, Terry & Zierahn, Ulrich, 2016. "ELS issues in robotics and steps to consider them. Part 1: Robotics and employment. Consequences of robotics and technological change for the structure and level of employment," ZEW Expertises, ZEW - Leibniz Centre for European Economic Research, number 146501.
    6. Falck, Oliver & Heimisch-Roecker, Alexandra & Wiederhold, Simon, 2021. "Returns to ICT skills," Research Policy, Elsevier, vol. 50(7).
    7. Du Yuhong & Wei Xiahai, 2020. "Task content routinisation, technological change and labour turnover: Evidence from China," The Economic and Labour Relations Review, , vol. 31(3), pages 324-346, September.
    8. Sebastian Lago Raquel & Federico Biagi, 2018. "The Routine Biased Technical Change hypothesis: a critical review," JRC Research Reports JRC113174, Joint Research Centre.
    9. Cirillo, Valeria & Evangelista, Rinaldo & Guarascio, Dario & Sostero, Matteo, 2021. "Digitalization, routineness and employment: An exploration on Italian task-based data," Research Policy, Elsevier, vol. 50(7).
    10. Caselli, Mauro & Fracasso, Andrea & Scicchitano, Sergio & Traverso, Silvio & Tundis, Enrico, 2021. "Stop worrying and love the robot: An activity-based approach to assess the impact of robotization on employment dynamics," GLO Discussion Paper Series 802, Global Labor Organization (GLO).
    11. Thor Berger & Carl Benedikt Frey, 2016. "Structural Transformation in the OECD: Digitalisation, Deindustrialisation and the Future of Work," OECD Social, Employment and Migration Working Papers 193, OECD Publishing.
    12. David Kunst, 2019. "Deskilling among Manufacturing Production Workers," Tinbergen Institute Discussion Papers 19-050/VI, Tinbergen Institute, revised 30 Dec 2020.
    13. Goos, Maarten & Rademakers, Emilie & Röttger, Ronja, 2021. "Routine-Biased technical change: Individual-Level evidence from a plant closure," Research Policy, Elsevier, vol. 50(7).
    14. Thomsen, Stephan L, 2018. "Die Rolle der Computerisierung und Digitalisierung für Beschäftigung und Einkommen," Hannover Economic Papers (HEP) dp-645, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
    15. Songul Tolan & Annarosa Pesole & Fernando Martinez-Plumed & Enrique Fernandez-Macias & José Hernandez-Orallo & Emilia Gomez, 2020. "Measuring the Occupational Impact of AI: Tasks, Cognitive Abilities and AI Benchmarks," JRC Working Papers on Labour, Education and Technology 2020-02, Joint Research Centre.
    16. Rica, Sara De La & Gortazar, Lucas & Lewandowski, Piotr, 2020. "Job Tasks and Wages in Developed Countries: Evidence from PIAAC," Labour Economics, Elsevier, vol. 65(C).
    17. Consoli, Davide & Marin, Giovanni & Rentocchini, Francesco & Vona, Francesco, 2023. "Routinization, within-occupation task changes and long-run employment dynamics," Research Policy, Elsevier, vol. 52(1).
    18. Julieta Caunedo & David Jaume & Elisa Keller, 2023. "Occupational Exposure to Capital-Embodied Technical Change," American Economic Review, American Economic Association, vol. 113(6), pages 1642-1685, June.
    19. Gregory, Terry & Salomons, Anna & Zierahn, Ulrich, 2016. "Racing With or Against the Machine? Evidence from Europe," VfS Annual Conference 2016 (Augsburg): Demographic Change 145843, Verein für Socialpolitik / German Economic Association.
    20. Lee, Tim & Shin, Yongseok, 2017. "Horizonatal and Vertical Polarization: Task-Specific Technological Change in a Multi-Sector Economy," TSE Working Papers 17-800, Toulouse School of Economics (TSE).

    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:sae:woemps:v:35:y:2021:i:3:p:451-469. 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: SAGE Publications (email available below). General contact details of provider: http://www.britsoc.co.uk/ .

    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.