Translational research: from basic research to regional biomedical entrepreneurship.

Biomedical CTSA Ecosystem Entrepreneurship SBIR Translational research

Journal

Small business economics
ISSN: 1573-0913
Titre abrégé: Small Bus Econ (Dordr)
Pays: United States
ID NLM: 9918786988606676

Informations de publication

Date de publication:
2023
Historique:
accepted: 02 08 2022
medline: 1 1 2023
pubmed: 1 1 2023
entrez: 16 4 2024
Statut: ppublish

Résumé

This paper examines the effect of translational research on knowledge production and biomedical entrepreneurship across U.S. regions. Researchers have earlier investigated the outputs of translational research by focusing on academic publications. Little attention has been paid to linking translational research to biomedical entrepreneurship. We construct an analytical model based on the knowledge spillover theory of entrepreneurship and the entrepreneurial ecosystem approach to examine the relationship between translational research, biomedical patents, clinical trials, and biomedical entrepreneurship. We test the model across 381 U.S. metropolitan statistical areas using 10 years of panel data related to the NIH Clinical and Translational Science Awards (CTSA) program. CTSA appears to increase the number of biomedical patents and biomedical entrepreneurship as proxied by the NIH Small Business Innovation Research (SBIR) grants. However, the magnitudes of the effects are relatively small. Path analysis shows that the effect of translational research on regional biomedical entrepreneurship is not strongly conveyed through biomedical patents or clinical trials.

Identifiants

pubmed: 38625332
doi: 10.1007/s11187-022-00676-9
pii: 676
pmc: PMC9425788
doi:

Types de publication

Journal Article

Langues

eng

Pagination

1761-1783

Informations de copyright

© The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2022, Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Auteurs

Sang-Min Park (SM)

Science, Technology and Innovation Support Team, Ministry of Science and ICT, Sejong Finance Center II, 194, Gareum-ro, Sejong-si, 30121 South Korea.

Nicholas S Vonortas (NS)

Institute for International Science and Technology Policy & Department of Economics, George Washington University, 1957 E Street NW Suite 403, Washington DC, 20052 USA.
São Paulo Excellence Chair, University of Campinas, Campinas, Brazil.

Classifications MeSH