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.File | Dimensione | Formato | |
---|---|---|---|
Bruno_Towards -digital-Europe_2025.pdf
solo gestori archivio
Tipologia:
Versione editoriale (versione pubblicata con il layout dell'editore)
Licenza:
Tutti i diritti riservati (All rights reserved)
Dimensione
927.6 kB
Formato
Adobe PDF
|
927.6 kB | Adobe PDF | Contatta l'autore |
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.