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The European deep tech landscape a comparative analysis of innovation ecosystems and venture density

datacite.subject.fosCiências Sociais::Economia e Gestão
dc.contributor.advisorCastro, João
dc.contributor.authorStipa, Giulio
dc.date.accessioned2026-04-22T14:52:02Z
dc.date.available2026-04-22T14:52:02Z
dc.date.issued2026-01-19
dc.date.submitted2025-12-17
dc.description.abstractIn recent years, the European Union has come to identify the need to close the innovation gap with the other global leaders. One of its key strategies is to invest in European-based technology within high-potential sectors such as Deep Technology. The factors that drive the clustering of deep tech ventures across diferent regions, however, are not yet fully understood by research. Moreover, there are limited studies regarding the e!ectiveness of place-based policies such as the Regional Innovation Valley (RIV) initiative. This thesis uses a quantitative cross-sectional approach across 217 European regions to examine the extent to which Human, Financial, and Network regional capabilities predict Deep Tech venture presence, and whether the RIV designation influences these relationships. The findings suggest a hierarchy among regional capabilities. Human capital is the primary driver, consistently linked to higher venture density. Network Capability serves as a flexible tool to enhance regional efficiency, while the Financial Capability has no significant se!ect on the presence of deep tech ventures. The moderation analysis suggests that the RIV designation signals network capabilities, strengthening the link between connectivity and venture density, especially in developing ecosystems. This implies that such policies can foster regional cohesion rather than just rewarding established hubs. However, the findings also caution stakeholders against prioritizing connectivity in regions lacking sufficient talent, as human capital remains the foundationeng
dc.identifier.tid204238315
dc.identifier.urihttp://hdl.handle.net/10362/202485
dc.language.isoeng
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectDeep tech
dc.subjectInnovation
dc.subjectEcosystems
dc.subjectEuropean regions
dc.titleThe European deep tech landscape a comparative analysis of innovation ecosystems and venture densityeng
dc.typemaster thesis
dspace.entity.typePublication
thesis.degree.nameA Work Project, presented as part of the requirements for the Award of a Master’s degree in Management from the Nova School of Business and Economics

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