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. 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.
    2. 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.
    3. 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.
    4. Eichengreen, Barry, 2012. "Exorbitant Privilege: The Rise and Fall of the Dollar," OUP Catalogue, Oxford University Press, number 9780199642472, Decembrie.
    5. Kox, Henk L.M. & Rubalcaba, Luis, 2007. "Analysing the contribution of business services to European economic growth," MPRA Paper 2003, University Library of Munich, Germany.
    6. 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.
    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.
    8. 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.
    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. Paul Seabright, 2005. "National and European Champions - Burden or Blessing?," CESifo Forum, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 6(02), pages 52-55, August.
    6. Reiss, Daniel Gersten, 2014. "Invoice Currency in Brazil," MPRA Paper 59412, University Library of Munich, Germany.
    7. Aurelien Portuese, 2020. "Beyond antitrust populism: Towards robust antitrust," Economic Affairs, Wiley Blackwell, vol. 40(2), pages 237-258, June.
    8. Saul Lach & Mark Schankerman, 2008. "Incentives and invention in universities," RAND Journal of Economics, RAND Corporation, vol. 39(2), pages 403-433, June.
    9. Pilar Piqué, 2016. "La jerarquía de monedas nacionales y los problemas financieros actuales," Revista de Economía Institucional, Universidad Externado de Colombia - Facultad de Economía, vol. 18(34), pages 69-85, January-J.
    10. Masahiro Kawai, 2014. "Asian Monetary Integration : A Japanese Perspective," Governance Working Papers 24158, East Asian Bureau of Economic Research.
    11. 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.
    12. Marcel Fratzscher & Arnaud Mehl, 2014. "China's Dominance Hypothesis and the Emergence of a Tri‐polar Global Currency System," Economic Journal, Royal Economic Society, vol. 124(581), pages 1343-1370, December.
    13. E. C. Mamatzakis, 2010. "The contribution of the publicly-funded R&D capital to productivity growth and an application to the Greek food and beverages industry," International Review of Applied Economics, Taylor & Francis Journals, vol. 24(4), pages 483-494.
    14. Aamir Rafique Hashmi & Johannes Van Biesebroeck, 2016. "The Relationship between Market Structure and Innovation in Industry Equilibrium: A Case Study of the Global Automobile Industry," The Review of Economics and Statistics, MIT Press, vol. 98(1), pages 192-208, March.
    15. Tavassoli, Sam, 2015. "Innovation determinants over industry life cycle," Technological Forecasting and Social Change, Elsevier, vol. 91(C), pages 18-32.
    16. 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.
    17. Ethan Ilzetzki & Carmen M. Reinhart & Kenneth S. Rogoff, 2020. "Will the Secular Decline in Exchange Rate and Inflation Volatility Survive COVID-19?," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 51(3 (Fall)), pages 279-332.
    18. Hussinger, Katrin & Pellens, Maikel, 2019. "Guilt by association: How scientific misconduct harms prior collaborators," Research Policy, Elsevier, vol. 48(2), pages 516-530.
    19. de Rassenfosse, Gaétan & Schoen, Anja & Wastyn, Annelies, 2014. "Selection bias in innovation studies: A simple test," Technological Forecasting and Social Change, Elsevier, vol. 81(C), pages 287-299.
    20. 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.
    21. Ng, Joe Cho Yiu & Leung, Charles Ka Yui & Chan, Suikang, 2022. "Corporate Real Estate Holding and Stock Returns: International Evidence from Listed Companies," MPRA Paper 111691, University Library of Munich, Germany.

    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.