Advertisement

Scientometrics

, Volume 74, Issue 2, pp 237–254 | Cite as

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

  • Peter VinklerEmail author
Selected Papers Presented at the 9th International Conference on Science and Technology Indicators

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.

Keywords

Romania Eastern European Country Journal Paper Percentage Share Science Indicator 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Archibugi, D., Coco, A. (2004), A new indicator of technological capabilities for developed and developing countries (ArCo). World Development, 32: 629–654.CrossRefGoogle Scholar
  2. Braun, T., Schubert, A. (1988), World flash on basic research. Scientometric versus socio-economic indicators. Scatter plots for 51 countries, Scientometrics, 13: 3–9.CrossRefGoogle Scholar
  3. Kealey, T. (1996), The Economic Laws of Scientific Research, St. Martin’s Press, New York.Google Scholar
  4. King, D. A. (2004), The scientific impact of nations. What different countries get for their research spending, Nature, 430: 311–316.CrossRefGoogle Scholar
  5. De Moya-Anegón, F., Herrero-Solana, V. (1999), Science in America Latina: A comparison of bibliometric and scientific-technical indicators, Scientometrics, 46: 299–320.CrossRefGoogle Scholar
  6. Must, Ü. (2006), “New” countries in Europe — Research, development and innovation strategies vs bibliometric data, Scientometrics, 66: 241–248.CrossRefGoogle Scholar
  7. Narin, F., Hamilton, K. S., Olivastro, D. (1997), The increasing linkage between U.S. technology and public science, Research Policy, 26: 317–330.CrossRefGoogle Scholar
  8. 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
  9. Rai, L. P., Lal, K. Indicators of the information revolution, Technology in Society, 22: 221–235.Google Scholar
  10. 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.CrossRefGoogle Scholar
  11. Sorenson, O., Fleming, L. (2004), Science and the diffusion of knowledge, Research Policy, 33: 1615–1634.CrossRefGoogle Scholar
  12. 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
  13. Vinkler, P. (2002), The institutionalization of scientific information: A scientometric model (ISI-S Model), Library Trends, 50: 553–569.Google Scholar
  14. Vinkler, P. (2003), Relations of relative scientometric indicators, Scientometrics, 58: 687–694.CrossRefGoogle Scholar
  15. 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.CrossRefGoogle Scholar
  16. Vinkler, P. (2005), Science indicators, economic development and the wealth of nations, Scientometrics, 63: 417–419.Google Scholar

Copyright information

© Springer Science+Business Media B.V. 2007

Authors and Affiliations

  1. 1.Chemical Research CenterHungarian Academy of SciencesBudapestHungary

Personalised recommendations