The Academic Inbreeding Controversy: Analysis and Evidence from Brazil
Denis Borenstein,
Marcelo S. Perlin and
Takeyoshi Imasato
Journal of Informetrics, 2022, vol. 16, issue 2
Abstract:
This paper presents an embracing quantitative inbreeding analyses in the Brazilian higher education system (HES). Several studies were conducted about academic inbreeding in several countries with contradictory results on its effect in research productivity, indicating how controversial this issue is. This is the first comprehensive research based on data from more than 79,000 researchers from all fields of knowledge. We find that inbreeding can be found in all fields of science in Brazil. Results from a robust statistical analysis indicate that inbreds are significantly more productive than non-inbreds in all research publications, except in books. Particularly, we find that researchers that have spent a mobility period, either during doctoral studies or a scholarly visiting position, are more productive than other types of inbreds. The overall conclusion is that there is no evidence to support the detrimental view of academic inbreeding based on scientific productivity. We then discuss possible explanations to our findings and present suggestions of future research.
Keywords: higher education; research productivity; academic inbreeding; Brazil (search for similar items in EconPapers)
JEL-codes: C14 I23 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S1751157722000396
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:infome:v:16:y:2022:i:2:s1751157722000396
DOI: 10.1016/j.joi.2022.101287
Access Statistics for this article
Journal of Informetrics is currently edited by Leo Egghe
More articles in Journal of Informetrics from Elsevier
Bibliographic data for series maintained by Catherine Liu ().