Working Paper #2024-016
The KSTE+I approach and the AI technologies: evidence from the European regions
In this paper we integrate the insights of the Knowledge Spillover Theory of Entrepreneurship and Innovation (KSTE+I) with Schumpeter's idea that innovative entrepreneurs creatively apply available local knowledge, possibly mediated by Marshallian, Jacobian and Porter spillovers. In more detail, in this study we assess the degree of pervasiveness and the level of opportunities brought about by AI technologies by testing the possible correlation between the regional AI knowledge stock and the number of new innovative ventures (that is startups patenting in any technological field in the year of their foundation). Empirically, by focusing on 287 Nuts-2 European regions, we test whether the local AI stock of knowledge exerts an enabling role in fostering innovative entry within AI-related local industries (AI technologies as focused enablers) and within non AI-related local industries, as well (AI technologies as generalised enablers). Results from Negative Binomial fixed-effect and Poisson fixed-effect regressions (controlled for a variety of concurrent drivers of entrepreneurship) reveal that the local AI knowledge stock does promote the spread of innovative startups, so supporting both the KSTE+I approach and the enabling role of AI technologies; however, this relationship is confirmed only with regard to the sole high-tech/AI-related industries.
- Keywords
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- KSTE+I
- Artificial Intelligence
- innovative entry
- enabling technologies
- JEL codes
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- O33
- L26
Cite this as
APA 7th ed.D’Alessandro, F., Santarelli, E., & Vivarelli, M. (2024). The KSTE+I approach and the AI technologies: evidence from the European regions (UNU-MERIT Working Paper No. 2024-016). UNU-MERIT. https://unu-merit.nl/publications/working-papers/abstract/?id=9803