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Innovative Potential of the European Union’s Member States in 2017

Author

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  • Prof. dr. hab. M. Proniewski
  • dr J. B. Zielinska

Abstract

Purpose: The aim of this paper is to evaluate the innovative potential of the European Union’s countries in 2017. Design/Methodology/Approach: The authors have proposed their methodology of measuring the innovative potential of the EU Member States. Technique for Order Preference by Similarity to the Ideal Solution (TOPSIS) was used to rank and evaluate countries’ ability to innovate with respect to internal sources of innovativeness. Findings: The analysis confirms moderate innovative capacity of the EU countries. The classification of countries on the account of their innovative potential in 2017 reveals some similarities to ranking of Global Innovation Index (Input Sub-Index). Practical Implications: The paper proves that the most innovative countries in the light of the European Innovation Scoreboard display the highest ability to innovate. Therefore, internal resources of financial and human character were found to influence the overall level of innovativeness of member states. European countries should benefit from developing their innovative potential in terms of national resources. Originality/Value: Most researchers adopt input and output approach to innovativeness because it represents a sophisticated phenomenon. Due to shortage of studies measuring solely the innovative potential of economies, the paper will contribute to the development of literature.

Suggested Citation

  • Prof. dr. hab. M. Proniewski & dr J. B. Zielinska, 2019. "Innovative Potential of the European Union’s Member States in 2017," European Research Studies Journal, European Research Studies Journal, vol. 0(4), pages 49-59.
    • Handle: RePEc:ers:journl:v:xxii:y:2019:i:4:p:49-59
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    References listed on IDEAS

    as
    1. Arkadiusz Kijek, 2019. "The Effect of Public Procurement and its Spillovers on Innovativeness of Enterprises in European Countries," European Research Studies Journal, European Research Studies Journal, vol. 0(1), pages 103-111.
    2. Gault, Fred, 2018. "Defining and measuring innovation in all sectors of the economy," Research Policy, Elsevier, vol. 47(3), pages 617-622.
    3. Fred Gault (ed.), 2013. "Handbook of Innovation Indicators and Measurement," Books, Edward Elgar Publishing, number 14427.
    4. Wipo, 2017. "Global Innovation Index 2017," WIPO Economics & Statistics Series, World Intellectual Property Organization - Economics and Statistics Division, number 2017:gii, April.
    5. Furman, Jeffrey L. & Porter, Michael E. & Stern, Scott, 2002. "The determinants of national innovative capacity," Research Policy, Elsevier, vol. 31(6), pages 899-933, August.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Innovative potential; R&D; human capital; European Union; TOPSIS.;
    All these keywords.

    JEL classification:

    • O39 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Other
    • O57 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - Comparative Studies of Countries
    • C38 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Classification Methdos; Cluster Analysis; Principal Components; Factor Analysis

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