IDEAS home Printed from https://ideas.repec.org/a/gam/jecomi/v11y2023i6p163-d1167131.html
   My bibliography  Save this article

European Union Innovation Efficiency Assessment Based on Data Envelopment Analysis

Author

Listed:
  • Meda Andrijauskiene

    (School of Economics and Business, Kaunas University of Technology, LT-44029 Kaunas, Lithuania)

  • Dimosthenis Ioannidis

    (Centre for Research and Technology (CERTH)—Hellas, Information Technologies Institute, 57001 Thessaloniki, Greece)

  • Daiva Dumciuviene

    (School of Economics and Business, Kaunas University of Technology, LT-44029 Kaunas, Lithuania)

  • Asimina Dimara

    (Centre for Research and Technology (CERTH)—Hellas, Information Technologies Institute, 57001 Thessaloniki, Greece
    Intelligent Systems Lab, Department of Cultural Technology and Communication, University of the Aegean, 81100 Mytilene, Greece)

  • Napoleon Bezas

    (Centre for Research and Technology (CERTH)—Hellas, Information Technologies Institute, 57001 Thessaloniki, Greece)

  • Alexios Papaioannou

    (Centre for Research and Technology (CERTH)—Hellas, Information Technologies Institute, 57001 Thessaloniki, Greece)

  • Stelios Krinidis

    (Centre for Research and Technology (CERTH)—Hellas, Information Technologies Institute, 57001 Thessaloniki, Greece)

Abstract

Though much attention is dedicated to the development of its research and innovation policy, the European Union constantly struggles to match the level of the strongest innovators in the world. Therefore, there is a necessity to analyze the individual efforts and conditions of the 27 member states that might determine their final innovative performance. The results of a scientific literature review showed that there is a growing interest in the usage of artificial intelligence when seeking to improve decision-making processes. Data envelopment analysis, as a branch of computational intelligence methods, has proved to be a reliable tool for innovation efficiency evaluation. Therefore, this paper aimed to apply DEA for the assessment of the European Union’s innovation efficiency from 2000 to 2020, when innovation was measured by patent, trademark, and design applications. The findings showed that the general EU innovation efficiency situation has improved over time, meaning that each programming period was more successful than the previous one. On the other hand, visible disparities were found across the member states, showing that Luxembourg is an absolute innovation efficiency leader, while Greece and Portugal achieved the lowest average efficiency scores. Both the application of the DEA method and the gathered results may act as viable guidelines on how to improve R&I policies and select future investment directions.

Suggested Citation

  • Meda Andrijauskiene & Dimosthenis Ioannidis & Daiva Dumciuviene & Asimina Dimara & Napoleon Bezas & Alexios Papaioannou & Stelios Krinidis, 2023. "European Union Innovation Efficiency Assessment Based on Data Envelopment Analysis," Economies, MDPI, vol. 11(6), pages 1-19, June.
  • Handle: RePEc:gam:jecomi:v:11:y:2023:i:6:p:163-:d:1167131
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7099/11/6/163/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2227-7099/11/6/163/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Attila Varga & Tamás Sebestyén, 2017. "Does EU Framework Program Participation Affect Regional Innovation? The Differentiating Role of Economic Development," International Regional Science Review, , vol. 40(4), pages 405-439, July.
    2. Aytekin, Ahmet & Ecer, Fatih & Korucuk, Selçuk & Karamaşa, Çağlar, 2022. "Global innovation efficiency assessment of EU member and candidate countries via DEA-EATWIOS multi-criteria methodology," Technology in Society, Elsevier, vol. 68(C).
    3. Ben R. Martin, 2016. "Twenty challenges for innovation studies," Science and Public Policy, Oxford University Press, vol. 43(3), pages 432-450.
    4. Henry Junior Anderson & Jan Stejskal, 2019. "Diffusion Efficiency of Innovation among EU Member States: A Data Envelopment Analysis," Economies, MDPI, vol. 7(2), pages 1-19, April.
    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. Petersen, Alexander M. & Rotolo, Daniele & Leydesdorff, Loet, 2016. "A triple helix model of medical innovation: Supply, demand, and technological capabilities in terms of Medical Subject Headings," Research Policy, Elsevier, vol. 45(3), pages 666-681.
    2. Yunyao Li & Yanji Ma, 2022. "Research on Industrial Innovation Efficiency and the Influencing Factors of the Old Industrial Base Based on the Lock-In Effect, a Case Study of Jilin Province, China," Sustainability, MDPI, vol. 14(19), pages 1-23, October.
    3. Serhat Burmaoglu & Ozcan Saritas, 2019. "An evolutionary analysis of the innovation policy domain: Is there a paradigm shift?," Scientometrics, Springer;Akadémiai Kiadó, vol. 118(3), pages 823-847, March.
    4. Benoît Desmarchelier & Faridah Djellal & Faïz Gallouj, 2018. "Public Service Innovation Networks (PSINs): Collaborating for Innovation and Value Creation," Working Papers halshs-01934275, HAL.
    5. Keyan Zheng & Fagang Hu & Yaliu Yang, 2023. "Data-Driven Evaluation and Recommendations for Regional Synergy Innovation Capability," Sustainability, MDPI, vol. 15(14), pages 1-21, July.
    6. Benoit Desmarchelier & Faridah Djellal & Faïz Gallouj, 2018. "Les services dans les réseaux d'innovation et les réseaux d'innovation dans les services : des réseaux d'innovation traditionnels (RIT) aux réseaux d'innovation de service public (RISP)," Working Papers halshs-01934289, HAL.
    7. Xue Han & Yunyue Yang & Feng Li & Yuhui Li, 2022. "Adding Life to Years: The Influence of Internet Use and Appearance Management on Life Satisfaction Among the Elderly," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 160(2), pages 585-600, April.
    8. Figueiredo, Paulo N. & Larsen, Henrik & Hansen, Ulrich E., 2020. "The role of interactive learning in innovation capability building in multinational subsidiaries: A micro-level study of biotechnology in Brazil," Research Policy, Elsevier, vol. 49(6).
    9. Lehoux, P. & Miller, F.A. & Daudelin, G., 2017. "Converting clinical risks into economic value: The role of expectations and institutions in health technology development," Technological Forecasting and Social Change, Elsevier, vol. 117(C), pages 206-216.
    10. Klessova, Svetlana & Engell, Sebastian & Thomas, Catherine, 2022. "Assessment of the advancement of market-upstream innovations and of the performance of research and innovation projects," Technovation, Elsevier, vol. 116(C).
    11. Benoît Desmarchelier & Faridah Djellal & Faïz Gallouj, 2018. "Services in innovation networks and innovation networks in services: from traditional innovation networks (TINs) to public service innovation networks (PSINs)," Post-Print halshs-01934282, HAL.
    12. Ricard Esparza-Masana, 2022. "Towards Smart Specialisation 2.0. Main Challenges When Updating Strategies," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 13(1), pages 635-655, March.
    13. Thanos Fragkandreas, 2023. "Case study research on innovation systems: paradox, dialectical analysis and resolution," Working Papers 65, Birkbeck Centre for Innovation Management Research, revised 15 May 2023.
    14. Chen, Wei & Song, Hongti, 2024. "National innovation system: Measurement of overall effectiveness and analysis of influencing factors," Technology in Society, Elsevier, vol. 77(C).
    15. Wareham, Jonathan & Pujol Priego, Laia & Romasanta, Angelo Kenneth & Mathiassen, Thomas Wareham & Nordberg, Markus & Tello, Pablo Garcia, 2022. "Systematizing serendipity for big science infrastructures: The ATTRACT project," Technovation, Elsevier, vol. 116(C).
    16. Jasinska-Biliczak Anna & Malik Krzysztof, 2020. "Measuring the Integrated Effectiveness of Regional Development: Directions for Regional Government," European Research Studies Journal, European Research Studies Journal, vol. 0(1), pages 389-403.
    17. Yurong Yan & Yuying Deng & Juan-José Igartua & Xiagang Song, 2023. "Does Internet Use Promote Subjective Well-Being? Evidence from the Different Age Groups Based on CGSS 2017 Data," IJERPH, MDPI, vol. 20(4), pages 1-14, February.
    18. Ada Scupola & Lars Fuglsang & Faiz Gallouj & Anne Vorre Hansen, 2021. "Understandings of Social Innovation within the Danish Public Sector: A Literature Review," Administrative Sciences, MDPI, vol. 11(2), pages 1-18, May.
    19. Roberta Capello & Andrea Caragliu, 2021. "Merging macroeconomic and territorial determinants of regional growth: the MASST4 model," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 66(1), pages 19-56, February.
    20. Sebestyén, Tamás & Braun, Erik & Bilicz, Dávid & Iloskics, Zita, 2024. "Egyetemek és vállalatok kutatási együttműködése a helyi tudástermelésben [Research cooperation between universities and companies in local knowledge production]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(11), pages 1199-1221.

    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:gam:jecomi:v:11:y:2023:i:6:p:163-:d:1167131. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.