Public energy RD&D and green entrepreneurship: Cross-country evidence on energy and green start-ups and venture financing

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Type of the article: Research Article

Abstract
The transition toward low-carbon energy systems is increasingly viewed not only as an environmental necessity but also as a driver of innovation, competitiveness, and entrepreneurial development in modern economies. This study investigates how public energy research, development, and demonstration (RD&D) expenditures are associated with annual energy and green start-up counts, as well as with the availability of venture financing for clean-technology entrepreneurship across countries. The empirical analysis is based on a panel dataset covering 23 countries over the period 2000–2023 (470 country-year observations). It applies Poisson and negative binomial fixed-effects models, distributed lag specifications, fixed-effects OLS, and Gamma PML and PPML estimators. The results indicate that public RD&D spending does not have a statistically significant immediate effect on the number of green start-ups, as the Poisson FE estimates for renewable RD&D (0.034) and storage RD&D (0.011) remain insignificant. The venture-funding models show positive, though only weakly significant, coefficients for renewable-energy RD&D, with values of 1.41 for early-stage funding and 1.56 for later-stage funding, suggesting a possible association between public research activity and venture financing. Robustness checks indicate that low-carbon RD&D is positively associated with later-stage venture financing in selected model specifications, with a PPML coefficient of 1.77. The findings suggest that public RD&D is not a standalone driver of annual energy and green start-up counts and may be related to selected venture-financing outcomes, particularly in later-stage funding models, such as the scaling and commercialization of green innovation.

Acknowledgment
This article was prepared based on the results of the project 101127491-EnergyS4UA-ERASMUS-JMO2023-HEI-TCH-RSCH. Views and opinions expressed are, however, those of the authors only and do not necessarily reflect those of the European Union or European Education and Culture Executive Agency. Neither the European Union nor the granting authority can be held responsible for them.

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    • Figure B1. Average number of energy and green start-ups across countries, 2000–2023
    • Figure B2. Public RD&D expenditures in renewable energy technologies (million euros), 2000–2023
    • Figure B3. Public RD&D expenditures in other power and storage technologies (million euros), 2000–2023
    • Figure B4. Public RD&D expenditures in low-carbon energy technologies (million euros), 2000–2023
    • Table 1. Effects of public energy RD&D budgets on the number of green start-ups (Poisson FE model)
    • Table 2. Robustness check: Negative binomial model
    • Table 3. Correlation matrix of public energy RD&D expenditure variables
    • Table 4. Significance of correlations between RD&D expenditure variables
    • Table 5. Effect of total public energy RD&D spending on annual energy and green start-up counts (Poisson FE)
    • Table 6. Distributed lag effects of public energy RD&D expenditures on annual energy and green start-up counts (Poisson FE)
    • Table 7. Effects of public energy RD&D expenditures on venture funding of green start-ups
    • Table 8. Distributed lag effects of public RD&D spending on early-stage funding of green start-ups
    • Table 9. Distributed lag effects of public RD&D spending on later-stage funding of green start-ups
    • Table 10. Effects of public RD&D spending on early-stage funding of green start-ups
    • Table 11. Effects of public RD&D spending on later-stage funding of green start-ups
    • Table A1. Descriptive statistics of the main variables
    • Conceptualization
      Maksym W. Sitnicki, Serhiy Lyeonov, Dmytro Kurinskyi, Serhiy Podosynnikov
    • Software
      Maksym W. Sitnicki, Serhiy Podosynnikov
    • Visualization
      Maksym W. Sitnicki, Serhiy Podosynnikov
    • Writing – original draft
      Maksym W. Sitnicki, Serhiy Lyeonov, Dmytro Kurinskyi, Serhiy Podosynnikov
    • Writing – review & editing
      Maksym W. Sitnicki, Serhiy Lyeonov, Dmytro Kurinskyi, Serhiy Podosynnikov
    • Project administration
      Serhiy Lyeonov
    • Supervision
      Serhiy Lyeonov
    • Funding acquisition
      Dmytro Kurinskyi
    • Resources
      Dmytro Kurinskyi
    • Data curation
      Serhiy Podosynnikov
    • Formal Analysis
      Serhiy Podosynnikov
    • Investigation
      Serhiy Podosynnikov
    • Methodology
      Serhiy Podosynnikov
    • Validation
      Serhiy Podosynnikov