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Grenoble–GIANT Territorial Innovation Models

Author

Listed:
  • Laurent Scaringella

    (ESC Rennes School of Business - ESC Rennes School of Business)

  • Jean-Jacques Chanaron

    (Grenoble Ecole de Management, CNRS - Centre National de la Recherche Scientifique)

Abstract

Over the past decades, the EU heavily invested in Research Infrastructures (RI). What are the expected returns of such investments? In the present article we address the question of returns on public funds/public infrastructures. We consider the role of RI and universities from an economic, social, and entrepreneurial perspective from various Territorial Innovation Models (TIMs): Italian industrial districts, innovative milieus, regional innovation systems, new industrial spaces, and regional clusters. We conducted our empirical study on Grenoble Isère Alpes Nanotechnologies (GIANT), which is composed of large scientific instruments, universities, and engineering and management schools. Our microeconomic methodology measured the socioeconomic and entrepreneurial effects of GIANT with respect to budget, employment, and spin-off generation. We contribute to the existing body of knowledge on TIMs by comparing the long-term investments to the generation of wealth, the creation of employment, and the development of start-ups; adding new insights to the debate opposing positive and negative impacts empirical studies; and offering recommendations for the use of public resources. In our discussion, we compare the GIANT model as a very localized RI-university club to the Grenoble model as localized cluster.

Suggested Citation

  • Laurent Scaringella & Jean-Jacques Chanaron, 2016. "Grenoble–GIANT Territorial Innovation Models," Grenoble Ecole de Management (Post-Print) hal-01472878, HAL.
  • Handle: RePEc:hal:gemptp:hal-01472878
    DOI: 10.1016/j.techfore.2016.05.026
    Note: View the original document on HAL open archive server: https://hal-rennes-sb.archives-ouvertes.fr/hal-01472878
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    Keywords

    Territorial Innovation Models; Research infrastructure; University; Start-up; Socioeconomic impact; Return on investment;
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