Biomedical entrepreneurship in U.S. regions

Entrepreneurial ecosystem researchers generally focus on the few dominant factors affecting entrepreneurship. Insufficient attention has been paid to the interdependencies among regional conditions within an entrepreneurial ecosystem. We focus on the collective effects of factors for regional biomed...

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Veröffentlicht in:The Journal of technology transfer 2024-04, Vol.49 (2), p.782-800
Hauptverfasser: Park, Sang-Min, Vonortas, Nicholas S.
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description Entrepreneurial ecosystem researchers generally focus on the few dominant factors affecting entrepreneurship. Insufficient attention has been paid to the interdependencies among regional conditions within an entrepreneurial ecosystem. We focus on the collective effects of factors for regional biomedical entrepreneurship. We use the fuzzy-set qualitative comparative analysis (fsQCA) method to identify sets of regional conditions promoting biomedical entrepreneurship in all 381 U.S. metropolitan areas. The results indicate three configurations contributing to high levels of regional biomedical entrepreneurship: the first one combines public sector biomedical R&D, biomedical patents, and human capital, thus stressing science conditions and related human capital; the second combines public sector biomedical R&D, biomedical patents, clinical trials, and venture capital, thus placing more emphasis on the regional infrastructure sustaining entrepreneurial activity; the third combines private sector biomedical R&D, biomedical patents, human capital, per capita income, population density, and venture capital, thus emphasizing the private sector’s role on boosting regional biomedical entrepreneurship. There is no single recipe for a region to increase its level of biomedical entrepreneurship.
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source PAIS Index; Springer Nature - Complete Springer Journals
subjects Biomedical research
Biotechnology industry
Business and Management
Clinical trials
Commercial Law
Comparative analysis
Economic Growth
Entrepreneurs
Entrepreneurship
Fuzzy sets
Human capital
Identification methods
Industrial Organization
Innovation/Technology Management
Management
Metropolitan areas
Population density
Private sector
Public sector
Qualitative analysis
Qualitative research
R&D
Regions
Research & development
Venture capital
title Biomedical entrepreneurship in U.S. regions
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