The resistible decline of European science
AbstractUsing a data set of highly cited researchers in all fields of science, we show that the gapin scientific performance between Europe, especially continental Europe, and the USAis large. We model the number of highly cited researchers in a sample of countries as afunction of physical and human capital and a country-specific, factor-augmentingHicks-neutral productivity term. We find that differences in productivity betweenAnglo-Saxon countries and other countries are not solely due to differences in the levelsof inputs. Not surprisingly, our results reveal the importance of English proficiency.However, they also show that the governance and design of research institutions thatcharacterize Anglo-Saxon countries, as well as a few other countries that have similarinstitutions, is another critical factor for research output.
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Bibliographic InfoPaper provided by Université catholique de Louvain, Center for Operations Research and Econometrics (CORE) in its series CORE Discussion Papers with number 2007092.
Date of creation: 01 Dec 2007
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research performance; citations; knowledge economies; university governance;
Other versions of this item:
- BAUWENS, Luc & MION, Giordano & THISSE, Jacques-François, . "The resistible decline of European Science," CORE Discussion Papers RP -2383, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
- Bauwens, Luc & Mion, Giordano & Thisse, Jacques-François, 2008. "The Resistible Decline of European Science," CEPR Discussion Papers 6625, C.E.P.R. Discussion Papers.
- Luc BAUWENS & Giordano MION & Jacques-François THISSE, 2011. "The Resistible Decline of European Science," Discussion Papers (REL - Recherches Economiques de Louvain) 2011041, Université catholique de Louvain, Institut de Recherches Economiques et Sociales (IRES).
- I23 - Health, Education, and Welfare - - Education - - - Higher Education; Research Institutions
- C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions
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