IDEAS home Printed from https://ideas.repec.org/a/spr/scient/v74y2008i2d10.1007_s11192-008-0215-z.html
   My bibliography  Save this article

Correlation between the structure of scientific research, scientometric indicators and GDP in EU and non-EU countries

Author

Listed:
  • Peter Vinkler

    (Hungarian Academy of Sciences)

Abstract

Significant discrepancies were found in the ratio and relative impact of the journal papers of several scientific fields of some Central and Eastern European (CEE) countries compared to the European Community member states, the US and Japan (EUJ countries). A new indicator, characterizing the Mean Structural Difference of scientific fields between countries has been introduced and calculated for CEE countries. For EUJ countries correlation between the GDP and number of publications of a given year proved to be non-significant. Longitudinal studies showed, however, significant correlations between the yearly values of GDP and number of papers published. Studying data referring to consecutive time periods revealed that there is no direct relationship between the GDP and information production of countries. It may be assumed that grants for R&D do not actually depend on real needs, but the fact is that rich countries can afford to spend more whilst poor countries only less money on scientific research.

Suggested Citation

  • Peter Vinkler, 2008. "Correlation between the structure of scientific research, scientometric indicators and GDP in EU and non-EU countries," Scientometrics, Springer;Akadémiai Kiadó, vol. 74(2), pages 237-254, February.
    • Handle: RePEc:spr:scient:v:74:y:2008:i:2:d:10.1007_s11192-008-0215-z
    DOI: 10.1007/s11192-008-0215-z
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11192-008-0215-z
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s11192-008-0215-z?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Archibugi, Daniele & Coco, Alberto, 2004. "A New Indicator of Technological Capabilities for Developed and Developing Countries (ArCo)," World Development, Elsevier, vol. 32(4), pages 629-654, April.
    2. Sorenson, Olav & Fleming, Lee, 2004. "Science and the diffusion of knowledge," Research Policy, Elsevier, vol. 33(10), pages 1615-1634, December.
    3. F. Moya-Anegón & V. Herrero-Solana, 1999. "Science in america latina: A comparison of bibliometric and scientific-technical indicators," Scientometrics, Springer;Akadémiai Kiadó, vol. 46(2), pages 299-320, October.
    4. Ülle Must, 2006. "“New”countries in Europe - Research, development and innovation strategies vs bibliometric data," Scientometrics, Springer;Akadémiai Kiadó, vol. 66(2), pages 241-248, February.
    5. Narin, Francis & Hamilton, Kimberly S. & Olivastro, Dominic, 1997. "The increasing linkage between U.S. technology and public science," Research Policy, Elsevier, vol. 26(3), pages 317-330, October.
    6. David A. King, 2004. "The scientific impact of nations," Nature, Nature, vol. 430(6997), pages 311-316, July.
    7. Peter Vinkler, 2004. "Characterization of the impact of sets of scientific papers: The Garfield (impact) factor," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 55(5), pages 431-435, March.
    8. Péter Vinkler, 2003. "Relations of relative scientometric indicators," Scientometrics, Springer;Akadémiai Kiadó, vol. 58(3), pages 687-694, November.
    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. Hyeonchae Yang & Woo-Sung Jung, 2015. "A strategic management approach for Korean public research institutes based on bibliometric investigation," Quality & Quantity: International Journal of Methodology, Springer, vol. 49(4), pages 1437-1464, July.
    2. Leydesdorff, Loet & Wagner, Caroline, 2009. "Macro-level indicators of the relations between research funding and research output," Journal of Informetrics, Elsevier, vol. 3(4), pages 353-362.
    3. Peter Vinkler, 2018. "Structure of the scientific research and science policy," Scientometrics, Springer;Akadémiai Kiadó, vol. 114(2), pages 737-756, February.
    4. Lee Branstetter & Kwon Hyeog Ug, 2004. "The Restructuring Of Japanese Research And Development: The Increasing Impact Of Science On Japanese R&D," Discussion papers 04021, Research Institute of Economy, Trade and Industry (RIETI).
    5. Michael Roach & Wesley M. Cohen, 2012. "Lens or Prism? Patent Citations as a Measure of Knowledge Flows from Public Research," NBER Working Papers 18292, National Bureau of Economic Research, Inc.
    6. Basse Mama, Houdou, 2018. "Nonlinear capital market payoffs to science-led innovation," Research Policy, Elsevier, vol. 47(6), pages 1084-1095.
    7. Kenneth Zahringer & Christos Kolympiris & Nicholas Kalaitzandonakes, 2017. "Academic knowledge quality differentials and the quality of firm innovation," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 26(5), pages 821-844.
    8. Huang, Mu-Hsuan & Huang, Wei-Tzu & Chen, Dar-Zen, 2014. "Technological impact factor: An indicator to measure the impact of academic publications on practical innovation," Journal of Informetrics, Elsevier, vol. 8(1), pages 241-251.
    9. Giovanni Dosi & Patrick Llerena & Mauro Sylos Labin, 2005. "Science-Technology-Industry Links and the ”European Paradox”: Some Notes on the Dynamics of Scientific and Technological Research in Europe," Working Papers of BETA 2005-11, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
    10. Carmen Osuna & Laura Cruz Castro & Luis Sanz Menéndez, 2010. "Knocking down some Assumptions about the Effects of Evaluation Systems on Publications," Working Papers 1010, Instituto de Políticas y Bienes Públicos (IPP), CSIC.
    11. Dosi, Giovanni & Llerena, Patrick & Labini, Mauro Sylos, 2006. "The relationships between science, technologies and their industrial exploitation: An illustration through the myths and realities of the so-called `European Paradox'," Research Policy, Elsevier, vol. 35(10), pages 1450-1464, December.
    12. Roula Inglesi-Lotz & Mehmet Balcilar & Rangan Gupta, 2014. "Time-varying causality between research output and economic growth in US," Scientometrics, Springer;Akadémiai Kiadó, vol. 100(1), pages 203-216, July.
    13. Ugo Rizzo & Nicolò Barbieri & Laura Ramaciotti & Demian Iannantuono, 2020. "The division of labour between academia and industry for the generation of radical inventions," The Journal of Technology Transfer, Springer, vol. 45(2), pages 393-413, April.
    14. Bar-Ilan, Judit, 2008. "Informetrics at the beginning of the 21st century—A review," Journal of Informetrics, Elsevier, vol. 2(1), pages 1-52.
    15. Sung, Hui-Yun & Wang, Chun-Chieh & Huang, Mu-Hsuan & Chen, Dar-Zen, 2015. "Measuring science-based science linkage and non-science-based linkage of patents through non-patent references," Journal of Informetrics, Elsevier, vol. 9(3), pages 488-498.
    16. Gerardo Urrutia Sánchez & Lilian Prado & Wolfgang Bietenholz, 2018. "Theoretical high energy physcis in Latin America from 1990 to 2012: a statistical study," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(1), pages 125-146, July.
    17. Wang, Fang, 2024. "Does the recombination of distant scientific knowledge generate valuable inventions? An analysis of pharmaceutical patents," Technovation, Elsevier, vol. 130(C).
    18. Inglesi-Lotz, R., 2019. "Energy research and R&D indicators: An LMDI decomposition analysis for the IEA Big 5 in energy research," Energy Policy, Elsevier, vol. 133(C).
    19. Chen, Jong-Rong & Kan, Kamhon & Tung, I-Hsuan, 2016. "Scientific linkages and firm productivity: Panel data evidence from Taiwanese electronics firms," Research Policy, Elsevier, vol. 45(7), pages 1449-1459.
    20. R. Inglesi-Lotz & A. Pouris, 2013. "The influence of scientific research output of academics on economic growth in South Africa: an autoregressive distributed lag (ARDL) application," Scientometrics, Springer;Akadémiai Kiadó, vol. 95(1), pages 129-139, April.

    More about this item

    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:spr:scient:v:74:y:2008:i:2:d:10.1007_s11192-008-0215-z. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.
    pFad - Phonifier reborn

    Pfad - The Proxy pFad of © 2024 Garber Painting. All rights reserved.

    Note: This service is not intended for secure transactions such as banking, social media, email, or purchasing. Use at your own risk. We assume no liability whatsoever for broken pages.


    Alternative Proxies:

    Alternative Proxy

    pFad Proxy

    pFad v3 Proxy

    pFad v4 Proxy