Multiple regression reveals strong patent and R&D links to venture capital in industries, indicating varied investment potentials.
This study examines the impact of technological capabilities across industries on venture capital (VC) inflows. Technological capabilities were proxied by industry-level patent applications and R&D expenditures. VC inflows were derived from annual investment statistics published by the Ministry of SMEs and Startups and the Korea Venture Capital Association. Multiple regression analysis shows that industries with more patent appli-cations are more likely to attract venture investments. Moreover, the relationships among patents, R&D, and venture inflows vary significantly across industries. In the biomedical industry, VC inflows show strong positive correlations with patent applications (r = 0.762, p < 0.001) and R&D investment (r = 0.900, p < 0.001). In contrast, in the information and communication technology manufacturing sector, the association between patent appli-cations and VC inflows is not statistically significant (R² = 0.002, p > 0.05), implying that the conversion efficiency of technological outputs into investment differs according to the industrial structure. This study provides evidence of how technological development translates into commercialization and private investment. The findings contribute to a nuanced understanding of success factors in technology-based startups by industry and may serve as a foundation for the formulation of effective policy measures and investment strategies to promote private capital inflows.
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Park et al. (2025) studied this question.
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