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(Green) knowledge spillovers and regional environmental support: do they matter for the entry of new green tech-based firms?

Author

Listed:
  • Patricia Renou-Maissant

    (EconomiX - EconomiX - UPN - Université Paris Nanterre - CNRS - Centre National de la Recherche Scientifique)

  • Eva Coll-Martinez
  • Malia Kedjar

    (LARSH - Laboratoire de Recherche Sociétés & Humanités - UPHF - Université Polytechnique Hauts-de-France - INSA Hauts-De-France - INSA Institut National des Sciences Appliquées Hauts-de-France - INSA - Institut National des Sciences Appliquées)

Abstract

This paper studies the role played by the features of the local knowledge base and the regional environmental support in the entry of new green tech-based firms. We compute a set of specific knowledge indicators which capture the recombination of technologies that make up green technologies in French départements (NUTS3 regions) for the period 2003–2013. By using a rich and unique dataset based on firm-level microdata and patents information, we find that the main determinants of the entry of new green tech-based firms are: (i) the combination of high levels of internal coherence with sufficient diversification into unrelated technological categories other than green and (ii) the regional efforts to reduce the environmental impact of economic activities. Indeed, by applying spatial econometrics we found that the impact of knowledge spillovers mainly accrues within the département of entry. These results suggest that more attention should be paid to the context-specific recombination of technologies constituting green technologies and that environmental regulations may have, an indirect, but important impact when it comes to promote green technological entry in regions.

Suggested Citation

  • Patricia Renou-Maissant & Eva Coll-Martinez & Malia Kedjar, 2022. "(Green) knowledge spillovers and regional environmental support: do they matter for the entry of new green tech-based firms?," Post-Print hal-03637672, HAL.
    • Handle: RePEc:hal:journl:hal-03637672
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    Cited by:

    1. Xuanai Huang & Yaozhong Wang & Ying Chen & Zunguo Hu, 2024. "Green Technology Innovation and Enterprise Performance: An Analysis Based on Causal Machine Learning Models," Sustainability, MDPI, vol. 16(6), pages 1-16, March.
    2. Rafik Abdesselam & Malia Kedjar & Patricia Renou-Maissant, 2024. "What are the drivers of eco-innovation? Empirical evidence from French start-ups," Post-Print hal-04304153, HAL.

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