IDEAS home Printed from
   My bibliography  Save this article

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


  • Peter Vinkler

    () (Hungarian Academy of Sciences)


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

    Download full text from publisher

    File URL:
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

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

    References listed on IDEAS

    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. Péter Vinkler, 2003. "Relations of relative scientometric indicators," Scientometrics, Springer;Akadémiai Kiadó, vol. 58(3), pages 687-694, November.
    6. 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.
    Full references (including those not matched with items on IDEAS)


    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.

    Cited by:

    1. Aparna Basu, 2014. "The Albuquerque model and efficiency indicators in national scientific productivity with respect to manpower and funding in science," Scientometrics, Springer;Akadémiai Kiadó, vol. 100(2), pages 531-539, August.
    2. Ricardo Arencibia-Jorge & Felix Moya-Anegón, 2010. "Challenges in the study of Cuban scientific output," Scientometrics, Springer;Akadémiai Kiadó, vol. 83(3), pages 723-737, June.
    3. Péter Sasvári & András Nemeslaki & László Duma, 2019. "Exploring the influence of scientific journal ranking on publication performance in the Hungarian social sciences: the case of law and economics," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(2), pages 595-616, May.
    4. 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).
    5. Zhao, Star X. & Tan, Alice M. & Yu, Shuang & Xu, Xin, 2018. "Analyzing the research funding in physics: The perspective of production and collaboration at institution level," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 508(C), pages 662-674.
    6. Ioan Ianoş & Alexandru-Ionuţ Petrişor, 2020. "An Overview of the Dynamics of Relative Research Performance in Central-Eastern Europe Using a Ranking-Based Analysis Derived from SCImago Data," Publications, MDPI, Open Access Journal, vol. 8(3), pages 1-25, July.
    7. Ling-Chu Lee & Pin-Hua Lin & Yun-Wen Chuang & Yi-Yang Lee, 2011. "Research output and economic productivity: a Granger causality test," Scientometrics, Springer;Akadémiai Kiadó, vol. 89(2), pages 465-478, November.
    8. Peter Vinkler, 2018. "Structure of the scientific research and science policy," Scientometrics, Springer;Akadémiai Kiadó, vol. 114(2), pages 737-756, February.
    9. Yong Yi & Wei Qi & Dandan Wu, 2013. "Are CIVETS the next BRICs? A comparative analysis from scientometrics perspective," Scientometrics, Springer;Akadémiai Kiadó, vol. 94(2), pages 615-628, February.
    10. 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.
    11. 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.
    12. Marcin Kozak & Lutz Bornmann & Loet Leydesdorff, 2015. "How have the Eastern European countries of the former Warsaw Pact developed since 1990? A bibliometric study," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(2), pages 1101-1117, February.
    13. Peter A. Schulz & Edmilson J. T. Manganote, 2012. "Revisiting country research profiles: learning about the scientific cultures," Scientometrics, Springer;Akadémiai Kiadó, vol. 93(2), pages 517-531, November.
    14. Ivica Vilibić, 2010. "How much the shared ocean or lake basins connect the researchers in neighbouring countries?," Scientometrics, Springer;Akadémiai Kiadó, vol. 83(2), pages 463-470, May.
    15. Radu Silaghi-Dumitrescu & Augusta Sabau, 2014. "Scientometric analysis of relative performance in a key university in Romania," Scientometrics, Springer;Akadémiai Kiadó, vol. 99(2), pages 463-474, May.
    16. Pin-Hua Lin & Jong-Rong Chen & Chih-Hai Yang, 2014. "Academic research resources and academic quality: a cross-country analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(1), pages 109-123, October.

    More about this item


    Access and download statistics


    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.

    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). General contact details of provider: .

    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 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.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.