IDEAS home Printed from https://ideas.repec.org/a/aip/access/v6y2025i1p141-158.html
   My bibliography  Save this article

Trends in workforce qualification in the context of new digital and ecological transformations of the economy

Author

Listed:
  • Catalin GHINARARU

    (National Scientific Research Institute for Labour and Social Protection (INCSMPS), Bucharest, Romania)

  • Daniela PASNICU

    (National Scientific Research Institute for Labour and Social Protection (INCSMPS), Bucharest, Romania
    Spiru Haret University (USH), Bucharest, Romania)

  • Mihaela GHENTA

    (National Scientific Research Institute for Labour and Social Protection (INCSMPS), Bucharest, Romania)

  • Aniela MATEI

    (National Scientific Research Institute for Labour and Social Protection (INCSMPS), Bucharest, Romania)

  • Elen-Silvana CRIVOI

    (National Scientific Research Institute for Labour and Social Protection (INCSMPS), Bucharest, Romania)

Abstract

Understanding future skills needs is essential to ensure a just and socially equitable transition to the green and digital economy and to stimulate rapid economic recovery due to the COVID-19 pandemic. Objectives: The purpose of the article is to contribute to the knowledge of labour supply and demand forecasts according to skill levels in order to achieve a balance in labour market in the context of new economic changes. Methods/Approach: In this regard, a secondary forecast analysis was made at the 2030 horizon point regarding the change in the structure of the employed population in Romania by occupational groups, qualification level and broad occupational groups according to total demand, net change and demand for replacement and a comparative analysis of the workforce forecast by qualification levels in the period 2018-2030, at the level of 12 EU countries. The analyzed data come from the CEDEFOP center. The secondary data analysis was supplemented with information on new occupations and new skills needed in the perspective of 2030-2040. A Delphi methodology was applied for this purpose. Results: The data analysis highlights new occupations that will appear in the context of digital transformations, and also new skills to which the education system will have to adapt. Conclusions: In the period 2018-2030, most jobs will appear as a result of the demand for replacement, which illustrates that the potential for creating new jobs remains low.

Suggested Citation

  • Catalin GHINARARU & Daniela PASNICU & Mihaela GHENTA & Aniela MATEI & Elen-Silvana CRIVOI, 2025. "Trends in workforce qualification in the context of new digital and ecological transformations of the economy," Access Journal, Access Press Publishing House, vol. 6(1), pages 141-158, November.
  • Handle: RePEc:aip:access:v:6:y:2025:i:1:p:141-158
    DOI: 10.46656/access.2025.6.1(8)
    as

    Download full text from publisher

    File URL: https://journal.access-bg.org/journalfiles/journal/issue-6-1-2025/trends_in_workforce_qualification_in_the_context_of_new_digital_and_ecological_transformations.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.46656/access.2025.6.1(8)?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. Daron Acemoglu & Pascual Restrepo, 2018. "Artificial Intelligence, Automation and Work," Boston University - Department of Economics - Working Papers Series dp-298, Boston University - Department of Economics.
    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. Ayorinde Ogunyiola & Ryan Stock & Maaz Gardezi, 2025. "Precision agriculture and the future of agrarian labor in the US food system," Agriculture and Human Values, Springer;The Agriculture, Food, & Human Values Society (AFHVS), vol. 42(1), pages 383-403, March.
    2. Khan, Muhammad Salar & Shoaib, Azka & Arledge, Elizabeth, 2023. "How to Promote AI in the US Federal Government: Insights from Policy Process Frameworks," SocArXiv vm43w, Center for Open Science.
    3. Ghimire, Ramesh & Skinner, Jim & Carnathan, Mike, 2020. "Who perceived automation as a threat to their jobs in metro Atlanta: Results from the 2019 Metro Atlanta Speaks survey," Technology in Society, Elsevier, vol. 63(C).
    4. Joshua S. Gans, 2023. "Artificial intelligence adoption in a competitive market," Economica, London School of Economics and Political Science, vol. 90(358), pages 690-705, April.
    5. Evangelos Mourelatos & Jaakko Simonen & Simo Hosio & Daniil Likhobaba & Dmitry Ustalov, 2024. "How has the COVID-19 pandemic shaped behavior in crowdsourcing? The role of online labor market training," Journal of Business Economics, Springer, vol. 94(9), pages 1201-1244, November.
    6. Savin, Ivan & Ott, Ingrid & Konop, Chris, 2022. "Tracing the evolution of service robotics: Insights from a topic modeling approach," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
    7. Melián-González, Santiago & Bulchand-Gidumal, Jacques, 2025. "A framework for research on the automation of work," Technological Forecasting and Social Change, Elsevier, vol. 215(C).
    8. Amalia R. Miller & Ragan Petrie & Carmit Segal, 2024. "Effects of Workplace Competition on Work Time and Gender Inequality," ILR Review, Cornell University, ILR School, vol. 77(2), pages 251-272, March.
    9. Bokrantz, Jon & Skoogh, Anders & Berlin, Cecilia & Wuest, Thorsten & Stahre, Johan, 2020. "Smart Maintenance: an empirically grounded conceptualization," International Journal of Production Economics, Elsevier, vol. 223(C).
    10. Nour Mohamad Fayad & Ali Awdeh & Jessica Abou Mrad & Ghaithaa El Mokdad & Madonna Nassar, 2025. "The Impact of Technological Development on the Productivity of UK Banks," FinTech, MDPI, vol. 4(3), pages 1-32, August.
    11. Andreas Irmen, 2021. "Automation, growth, and factor shares in the era of population aging," Journal of Economic Growth, Springer, vol. 26(4), pages 415-453, December.
    12. Shahzad, Umer & Ghaemi Asl, Mahdi & Panait, Mirela & Sarker, Tapan & Apostu, Simona Andreea, 2023. "Emerging interaction of artificial intelligence with basic materials and oil & gas companies: A comparative look at the Islamic vs. conventional markets," Resources Policy, Elsevier, vol. 80(C).
    13. Dominic Chalmers & Niall G. MacKenzie & Sara Carter, 2021. "Artificial Intelligence and Entrepreneurship: Implications for Venture Creation in the Fourth Industrial Revolution," Entrepreneurship Theory and Practice, , vol. 45(5), pages 1028-1053, September.
    14. Gilbert Cette & Lorraine Koehl & Thomas Philippon, 2019. "The Labor Share in the Long Term: A Decline?," Economie et Statistique / Economics and Statistics, Institut National de la Statistique et des Etudes Economiques (INSEE), issue 510-511-5, pages 35-51.
    15. Luo, Jigang & Wang, Zhen & Wu, Maohua, 2021. "Effect of place-based policies on the digital economy: Evidence from the Smart City Program in China," Journal of Asian Economics, Elsevier, vol. 77(C).
    16. Zilian, Laura S. & Zilian, Stella S. & Jäger, Georg, 2021. "Labour market polarisation revisited: evidence from Austrian vacancy data," Journal for Labour Market Research, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany], vol. 55(55), pages 1-.7.
    17. Özkiziltan, Didem, 2024. "Governing Engels’ Pause: AI and the World of Work in Germany," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 77(5), pages 846-856.
    18. Zhang, Baizhen & Guo, Meiting, 2025. "Strong financial regulation and the intelligent transformation of enterprises," Economic Analysis and Policy, Elsevier, vol. 85(C), pages 186-207.
    19. José Luis Gracia Bustelo & Albert Miró Pérez & Harold Meruvia Torrez, 2025. "The Determinants of the Concentration of Superstar Firms: Cluster Analysis and Its Relationship with Economic Development and Artificial Intelligence," Economies, MDPI, vol. 13(2), pages 1-20, February.
    20. Zhu, Jun & Zhang, Jingting & Feng, Yiqing, 2022. "Hard budget constraints and artificial intelligence technology," Technological Forecasting and Social Change, Elsevier, vol. 183(C).

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;

    JEL classification:

    • J30 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - General
    • J50 - Labor and Demographic Economics - - Labor-Management Relations, Trade Unions, and Collective Bargaining - - - General
    • J60 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - General

    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:aip:access:v:6:y:2025:i:1:p:141-158. 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: Mariana Petrova (email available below). General contact details of provider: https://access-bg.org/ .

    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.