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Factors predicting the scientific wealth of nations
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Allik, Jüri, Lauk, Kalmer and Realo, Anu (2020) Factors predicting the scientific wealth of nations. Cross-Cultural Research, 54 (4). pp. 364-397. doi:10.1177/1069397120910982 ISSN 1069-3971.
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Official URL: http://dx.doi.org/10.1177/1069397120910982
Abstract
It has been repeatedly demonstrated that economic affluence is one of the main predictors of the scientific wealth of nations. Yet, the link is not as straightforward as is often presented. First, only a limited set of relatively affluent countries is usually studied. Second, there are differences between equally rich countries in their scientific success. The main aim of the present study is to find out which factors can enhance or suppress the effect of the economic wealth of countries on their scientific success, as measured by the High Quality Science Index (HQSI). The HQSI is a composite indicator of scientific wealth, which in equal parts considers the mean citation rate per paper and the percentage of papers that have reached the top 1% of citations in the Essential Science Indicators (ESI; Clarivate Analytics) database during the 11-year period from 2008 to 2018. Our results show that a high position in the ranking of countries on the HQSI can be achieved not only by increasing the number of high-quality papers but also by reducing the number of papers that are able to pass ESI thresholds but are of lower quality. The HQSI was positively and significantly correlated with the countries’ economic indicators (as measured by gross national income and Research and Development expenditure as a percentage from GDP), but these correlations became insignificant when other societal factors were controlled for. Overall, our findings indicate that it is small and well-governed countries with a long-standing democratic past that seem to be more efficient in translating economic wealth into high-quality science.
Item Type: | Journal Article | ||||||||
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Subjects: | H Social Sciences > HB Economic Theory Q Science > Q Science (General) |
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Divisions: | Faculty of Science, Engineering and Medicine > Science > Psychology | ||||||||
Library of Congress Subject Headings (LCSH): | Science and state, Science , Economics -- Psychological aspects, Bibliometrics, Research, Scientists -- Education -- Government policy, Science indicators -- Databases | ||||||||
Journal or Publication Title: | Cross-Cultural Research | ||||||||
Publisher: | Sage Publications Ltd. | ||||||||
ISSN: | 1069-3971 | ||||||||
Official Date: | 1 October 2020 | ||||||||
Dates: |
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Volume: | 54 | ||||||||
Number: | 4 | ||||||||
Page Range: | pp. 364-397 | ||||||||
DOI: | 10.1177/1069397120910982 | ||||||||
Status: | Peer Reviewed | ||||||||
Publication Status: | Published | ||||||||
Reuse Statement (publisher, data, author rights): | Allik, J., Lauk, K., & Realo, A. (2020). Factors Predicting the Scientific Wealth of Nations. Cross-Cultural Research. Copyright © 2020 The Authors. Reprinted by permission of SAGE Publications. Additionally, please provide a link to the appropriate DOI for the published version of the Contribution on the SAGE Journals website https://doi.org/10.1177/1069397120910982 | ||||||||
Access rights to Published version: | Restricted or Subscription Access | ||||||||
Date of first compliant deposit: | 15 May 2020 | ||||||||
Date of first compliant Open Access: | 19 May 2020 |
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