IDEAS home Printed from https://ideas.repec.org/a/ers/journl/vxxivy2021ispecial2-part1p260-273.html
   My bibliography  Save this article

Factor Competitiveness of the Technological Advanced Services Sector in the European Union Countries: A Typological Analysis

Author

Listed:
  • Malgorzata Juchniewicz

Abstract

Purpose: The article presents a significant and current research problem concerning the competitiveness of the technologically advanced services sector. The research aimed to assess the diversity of this phenomenon in the EU Member States and make a typology of Member States based on partial competitiveness indicators. Design/Methodology/Approach: The study uses a universal model of factor competitiveness - the adopted indicators can also be used to assess other sectors of the economy. Typological classification of EU Member States was made using Ward's cluster analysis. Findings: Several countries shape the level of competitiveness of the high-tech services sector in the EU. The first group comprises France, Germany, Spain, the Netherlands, and Italy - it is characterized by a high level of production potential and factor competitiveness indicators. The second group comprises countries with low production potential but with the highest competitiveness indicators among the EU countries. These are Luxembourg, Cyprus, and Malta. Practical Implications: The typology of EU countries in terms of the production potential and competitiveness of the high-tech services sector is a source of information that can shape regional development policies of this sector in individual EU countries. The increasing importance of knowledge-based services in economic development, which includes the studied sector, is a crucial application value of the study. Originality/Value: The level of competitiveness of the technologically advanced services sector and the factors shaping it is a critical issue both in EU policy and in the development of individual countries. Research on the high-tech sector focuses mainly on manufacturing companies (high-tech industry), and to a much lesser extent, on service companies (high-tech services). The considerations contained in the article fill the research gap in this area.

Suggested Citation

  • Malgorzata Juchniewicz, 2021. "Factor Competitiveness of the Technological Advanced Services Sector in the European Union Countries: A Typological Analysis," European Research Studies Journal, European Research Studies Journal, vol. 0(Special 2), pages 260-273.
    • Handle: RePEc:ers:journl:v:xxiv:y:2021:i:special2-part1:p:260-273
    as

    Download full text from publisher

    File URL: https://ersj.eu/journal/2427/download
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Markus Grillitsch & Bjørn Asheim & Michaela Trippl, 2018. "Unrelated knowledge combinations: the unexplored potential for regional industrial path development," Cambridge Journal of Regions, Economy and Society, Cambridge Political Economy Society, vol. 11(2), pages 257-274.
    2. Tomasz Kijek & Anna Matras-Bolibok, 2020. "Knowledge-intensive Specialisation and Total Factor Productivity (TFP) in the EU Regional Scope," Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, Mendel University Press, vol. 68(1), pages 181-188.
    3. Thomas Brenner & Marco Capasso & Matthias Duschl & Koen Frenken & Tania Treibich, 2018. "Causal relations between knowledge-intensive business services and regional employment growth," Regional Studies, Taylor & Francis Journals, vol. 52(2), pages 172-183, February.
    4. Rob Bilderbeek & Pim den Hertog, 1998. "Technology-Based Knowledge-Intensive Business Services in the Netherlands: Their Significance as a Driving Force behind Knowledge-Driven Innovation," Vierteljahrshefte zur Wirtschaftsforschung / Quarterly Journal of Economic Research, DIW Berlin, German Institute for Economic Research, vol. 67(2), pages 126-138.
    5. Henk Kox & Luis Rubalcaba, 2007. "Analysing the Contribution of Business Services to European Economic Growth," Bruges European Economic Research Papers 9, European Economic Studies Department, College of Europe.
    6. Johan Klaesson & Therese Norman, 2015. "Market potential and the employment growth of knowledge-intensive services: comparing different geographical resolutions," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 55(1), pages 157-185, October.
    7. Richard Blundell & Rachel Griffith & John van Reenen, 1999. "Market Share, Market Value and Innovation in a Panel of British Manufacturing Firms," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 66(3), pages 529-554.
    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. repec:ers:journl:v:xxiv:y:2021:i:special3:p:260-273 is not listed on IDEAS
    2. Dioni Elche & Davide Consoli & Mabel Sánchez-Barrioluengo, 2021. "From brawn to brains: manufacturing–KIBS interdependency," Regional Studies, Taylor & Francis Journals, vol. 55(7), pages 1282-1298, July.
    3. Liliana Meza-González & Jaime Marie Sepulveda, 2019. "The impact of competition with China in the US market on innovation in Mexican manufacturing firms," Latin American Economic Review, Springer;Centro de Investigaciòn y Docencia Económica (CIDE), vol. 28(1), pages 1-21, December.
    4. Alhassan Abdul-Wakeel Karakara & Evans Osabuohien, 2020. "ICT adoption, competition and innovation of informal firms in West Africa: a comparative study of Ghana and Nigeria," Journal of Enterprising Communities: People and Places in the Global Economy, Emerald Group Publishing Limited, vol. 14(3), pages 397-414, June.
    5. Saul Lach & Mark Schankerman, 2008. "Incentives and invention in universities," RAND Journal of Economics, RAND Corporation, vol. 39(2), pages 403-433, June.
    6. Su, Hsin-Ning & Moaniba, Igam M., 2017. "Investigating the dynamics of interdisciplinary evolution in technology developments," Technological Forecasting and Social Change, Elsevier, vol. 122(C), pages 12-23.
    7. Tomasz Kijek & Anna Matras-Bolibok, 2020. "Knowledge-intensive Specialisation and Total Factor Productivity (TFP) in the EU Regional Scope," Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, Mendel University Press, vol. 68(1), pages 181-188.
    8. Hussinger, Katrin & Pellens, Maikel, 2019. "Guilt by association: How scientific misconduct harms prior collaborators," Research Policy, Elsevier, vol. 48(2), pages 516-530.
    9. Yu-Shan Chen & Ke-Chiun Chang, 2009. "Using neural network to analyze the influence of the patent performance upon the market value of the US pharmaceutical companies," Scientometrics, Springer;Akadémiai Kiadó, vol. 80(3), pages 637-655, September.
    10. Barge-Gil, Andrés & López, Alberto, 2014. "R&D determinants: Accounting for the differences between research and development," Research Policy, Elsevier, vol. 43(9), pages 1634-1648.
    11. Pierpaolo Parrotta & Dario Pozzoli & Mariola Pytlikova, 2014. "The nexus between labor diversity and firm’s innovation," Journal of Population Economics, Springer;European Society for Population Economics, vol. 27(2), pages 303-364, April.
    12. Bruno Amable & Jean-Bernard Chatelain & Kirsten Ralf, 2004. ""Deep Pockets": Research and Development Persistence and Economic Growth," Money Macro and Finance (MMF) Research Group Conference 2004 47, Money Macro and Finance Research Group, revised 13 Oct 2004.
    13. Markus Grillitsch & Markku Sotarauta, 2025. "Agency and structure in regional development: in search of a social science research programme," European Planning Studies, Taylor & Francis Journals, vol. 33(1), pages 104-123, January.
    14. Aghion, Philippe & Akcigit, Ufuk & Howitt, Peter, 2014. "What Do We Learn From Schumpeterian Growth Theory?," Handbook of Economic Growth, in: Philippe Aghion & Steven Durlauf (ed.), Handbook of Economic Growth, edition 1, volume 2, chapter 0, pages 515-563, Elsevier.
    15. Janssen, Matthijs J. & Abbasiharofteh, Milad, 2022. "Boundary spanning R&D collaboration: Key enabling technologies and missions as alleviators of proximity effects?," Technological Forecasting and Social Change, Elsevier, vol. 180(C).
    16. Philippe Aghion & Antoine Dechezleprêtre & David Hémous & Ralf Martin & John Van Reenen, 2016. "Carbon Taxes, Path Dependency, and Directed Technical Change: Evidence from the Auto Industry," Journal of Political Economy, University of Chicago Press, vol. 124(1), pages 1-51.
    17. Michael Noel & Mark Schankerman, 2013. "Strategic Patenting and Software Innovation," Journal of Industrial Economics, Wiley Blackwell, vol. 61(3), pages 481-520, September.
    18. H. T. Tran & E. Santarelli, 2013. "Determinants and Effects of Innovative Activities in Vietnam. A Firm-level Analysis," Working Papers wp909, Dipartimento Scienze Economiche, Universita' di Bologna.
    19. J-L Hu & C-Y Fang, 2010. "Do market share and efficiency matter for each other? An application of the zero-sum gains data envelopment analysis," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 61(4), pages 647-657, April.
    20. Kovác, Eugen & Vinogradov, Viatcheslav & Zigic, Kresimir, 2010. "Technological leadership and persistence of monopoly under endogenous entry: Static versus dynamic analysis," Journal of Economic Dynamics and Control, Elsevier, vol. 34(8), pages 1421-1441, August.
    21. André Lorentz & Maria Savona, 2009. "Evolutionary micro-dynamics and changes in the economic structure," Springer Books, in: Uwe Cantner & Jean-Luc Gaffard & Lionel Nesta (ed.), Schumpeterian Perspectives on Innovation, Competition and Growth, pages 137-160, Springer.

    More about this item

    Keywords

    Competitiveness; factor competitiveness indicators; the sector of technologically advanced services; knowledge-intensive services; the European Union.;
    All these keywords.

    JEL classification:

    • L8 - Industrial Organization - - Industry Studies: Services
    • O52 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - Europe
    • C38 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Classification Methdos; Cluster Analysis; Principal Components; Factor Analysis
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • O3 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights

    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:ers:journl:v:xxiv:y:2021:i:special2-part1:p:260-273. 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: Marios Agiomavritis (email available below). General contact details of provider: https://ersj.eu/ .

    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.