This study investigates the primary drivers of innovation processes in Europe within a broad framework that embraces the digitalisation dimension. Using data from the Regional Innovation Scoreboard (2017 and 2022), Spatial Autoregressive – Geographically Weighted Regression (GWR-SAR) models are performed to address spatial dependence and spatial heterogeneity simultaneously. An inverted U-shaped relationship suggests a nonlinear impact of digitalisation and technological advancements on regional innovation, emphasising the importance of balancing digital skills with other factors to maximise their benefits.

Towards a digital Europe: Modelling innovation in a spatially embedded context integrated space-time model to evaluate the innovation drivers in Italy / Bruno, Emma; Castellano, Rosalia; Punzo, Gennaro; Salvati, Luca. - (2025), pp. 230-236. (Intervento presentato al convegno 52nd Scientific meeting of the Italian Statistical Society (SIS 2024) tenutosi a Bari) [10.1007/978-3-031-64350-7_40].

Towards a digital Europe: Modelling innovation in a spatially embedded context integrated space-time model to evaluate the innovation drivers in Italy

Bruno, Emma
;
Salvati, Luca
2025

Abstract

This study investigates the primary drivers of innovation processes in Europe within a broad framework that embraces the digitalisation dimension. Using data from the Regional Innovation Scoreboard (2017 and 2022), Spatial Autoregressive – Geographically Weighted Regression (GWR-SAR) models are performed to address spatial dependence and spatial heterogeneity simultaneously. An inverted U-shaped relationship suggests a nonlinear impact of digitalisation and technological advancements on regional innovation, emphasising the importance of balancing digital skills with other factors to maximise their benefits.
2025
52nd Scientific meeting of the Italian Statistical Society (SIS 2024)
innovation; European regions; spatial dependence; spatial heterogeneity
04 Pubblicazione in atti di convegno::04b Atto di convegno in volume
Towards a digital Europe: Modelling innovation in a spatially embedded context integrated space-time model to evaluate the innovation drivers in Italy / Bruno, Emma; Castellano, Rosalia; Punzo, Gennaro; Salvati, Luca. - (2025), pp. 230-236. (Intervento presentato al convegno 52nd Scientific meeting of the Italian Statistical Society (SIS 2024) tenutosi a Bari) [10.1007/978-3-031-64350-7_40].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1738252
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