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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)
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    References listed on IDEAS

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    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.
    2. Daron Acemoglu & Pascual Restrepo, 2018. "Artificial Intelligence, Automation, and Work," NBER Chapters, in: The Economics of Artificial Intelligence: An Agenda, pages 197-236, National Bureau of Economic Research, Inc.
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    Keywords

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    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

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