R&I smart specialisation strategies: classification of EU regions’ priorities. Results from automatic text analysis
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Data di Pubblicazione:
2019
Citazione:
Pavone, P., F., Pagliacci, M., Russo e A., Giorgi. "R&I smart specialisation strategies: classification of EU regions’ priorities. Results from automatic text analysis" Working paper, DEMB WORKING PAPER SERIES, Dipartimento di Economia Marco Biagi - Università di Modena e Reggio Emilia, 2019. https://doi.org/10.25431/11380_1196211
Abstract:
Building on automatic text analysis, this paper proposes an original categorization of Research and Innovation Smart Specialisation Strategy (RIS3) priorities and provides a common language (with detailed dictionaries) to classify priorities and then to associate EU regions to multiclass categories of priorities. This result is a powerful tool to interpret the current state of diversification across regions, with its potential of complementarities and synergies that might support territorial integrated development paths. It would also support regions in their future strategic programmes on RIS3. A case study on the Alpine macro-region shows innovation development paths to outline macroregion strategic planning.
Tipologia CRIS:
Working paper
Keywords:
Research and Innovation Strategy for Smart Specialisation (RIS3); Future Cohesion Policy; Data classification with non-supervised techniques; automatic text analysis; EU macroregional strategies
Elenco autori:
Pavone, P.; Pagliacci, F.; Russo, M.; Giorgi, A.
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