Skip to main content
Log in

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

  • Selected Papers Presented at the 9th International Conference on Science and Technology Indicators
  • Published:
Scientometrics Aims and scope Submit manuscript

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.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  • Archibugi, D., Coco, A. (2004), A new indicator of technological capabilities for developed and developing countries (ArCo). World Development, 32: 629–654.

    Article  Google Scholar 

  • Braun, T., Schubert, A. (1988), World flash on basic research. Scientometric versus socio-economic indicators. Scatter plots for 51 countries, Scientometrics, 13: 3–9.

    Article  Google Scholar 

  • Kealey, T. (1996), The Economic Laws of Scientific Research, St. Martin’s Press, New York.

    Google Scholar 

  • King, D. A. (2004), The scientific impact of nations. What different countries get for their research spending, Nature, 430: 311–316.

    Article  Google Scholar 

  • De Moya-Anegón, F., Herrero-Solana, V. (1999), Science in America Latina: A comparison of bibliometric and scientific-technical indicators, Scientometrics, 46: 299–320.

    Article  Google Scholar 

  • Must, Ü. (2006), “New” countries in Europe — Research, development and innovation strategies vs bibliometric data, Scientometrics, 66: 241–248.

    Article  Google Scholar 

  • Narin, F., Hamilton, K. S., Olivastro, D. (1997), The increasing linkage between U.S. technology and public science, Research Policy, 26: 317–330.

    Article  Google Scholar 

  • Price, De Solla (1978), Toward a model for science indicators, In: Elkana Y., Lederberg J., Merton R. K., Thackray A., Zuckerman H. (Eds), Toward a Metric of Science: The Advent of Science Indicators. John Wiley & Sons, New York, pp. 69–95.

    Google Scholar 

  • Rai, L. P., Lal, K. Indicators of the information revolution, Technology in Society, 22: 221–235.

  • Schubert, A., Glänzel, W., Braun, T. (1989), Scientometric datafiles. A comprehensive set of indicators on 2649 journals and 96 countries in all major science fields and subfields 1981–1985, Scientometrics, 16: 3–478.

    Article  Google Scholar 

  • Sorenson, O., Fleming, L. (2004), Science and the diffusion of knowledge, Research Policy, 33: 1615–1634.

    Article  Google Scholar 

  • Vinkler, P. (1992), Research policy and publication productivity. In: Representations of Science and Technology, Proceedings of the International Conference on Science and Technology Indicators, Bielefeld, DSWO Press, Leiden University, pp. 75–91.

    Google Scholar 

  • Vinkler, P. (2002), The institutionalization of scientific information: A scientometric model (ISI-S Model), Library Trends, 50: 553–569.

    Google Scholar 

  • Vinkler, P. (2003), Relations of relative scientometric indicators, Scientometrics, 58: 687–694.

    Article  Google Scholar 

  • Vinkler, P. (2004), Characterization of the impact of sets of scientific papers: The Garfield (Impact) Factor, Journal of the American Society for Information Science and Technology, 55: 431–435.

    Article  Google Scholar 

  • Vinkler, P. (2005), Science indicators, economic development and the wealth of nations, Scientometrics, 63: 417–419.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Peter Vinkler.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Vinkler, P. Correlation between the structure of scientific research, scientometric indicators and GDP in EU and non-EU countries. Scientometrics 74, 237–254 (2008). https://doi.org/10.1007/s11192-008-0215-z

Download citation

  • Received:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11192-008-0215-z

Keywords

Navigation