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Why do we need to complement the European Union Regional Innovation Scoreboard with a cluster-neural network tool for what-if policy analysis?

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  • Vincenzo Lanzetta
  • Cristina Ponsiglione

Abstract

The European Union Regional Innovation Scoreboard (EURIS) is currently and broadly used for the definition of regional innovation policies by European policymakers; it is a regional innovation measuring tool for the analysis of each specific innovation indicator, from which it is possible to analyze the overtime evolution of each regional innovation indicator; according to the importance of the European Union Regional Innovation Scoreboard for innovation policy purposes, we state that European regional policymakers need integrative and synergistic methodological tools, with respect to the EURIS one, for innovation policy purposes. Thus, we highlight the need to integrate the current methodology of the European Regional Innovation Scoreboard with a Factorial K-means (FKM) tool for clustering purposes, and with a neural network (NN) tool for performing what-if policy analyses. We claim that our proposed FKM-NN tool could be used, by regional innovation policymakers, as a very effective synergistic instrument of the European Union Regional Innovation Scoreboard.

Suggested Citation

  • Vincenzo Lanzetta & Cristina Ponsiglione, 2024. "Why do we need to complement the European Union Regional Innovation Scoreboard with a cluster-neural network tool for what-if policy analysis?," Papers 2409.13316, arXiv.org.
    • Handle: RePEc:arx:papers:2409.13316
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    References listed on IDEAS

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    1. Börje Johansson & Charlie Karlsson & Roger Stough (ed.), 2006. "The Emerging Digital Economy," Advances in Spatial Science, Springer, number 978-3-540-34488-9.
    2. Martin Andersson & Charlie Karlsson, 2006. "Regional Innovation Systems in Small and Medium-Sized Regions," Advances in Spatial Science, in: Börje Johansson & Charlie Karlsson & Roger Stough (ed.), The Emerging Digital Economy, chapter 4, pages 55-81, Springer.
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