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The European deep tech landscape a comparative analysis of innovation ecosystems and venture density
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Resumo(s)
In 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 foundation
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Deep tech Innovation Ecosystems European regions