Smart Specialisation Strategy required regional authorities to identify technological domains where to concentrate investment in R&D and innovation. Their choices should originate from an analysis of regional strengths, aiming to identify those domains with the greatest potential for innovation and diversification. This paper aim to assess the degree of relatedness between chosen technological domains. We use patent data to categorize technological domains and the revealed associations methodology to measure their degree of relatedness. We find that the choices made by Italian regions show a significant higher relatedness as compared to a random choice, though with notable exceptions.
Relatedness in the implementation of Smart Specialisation Strategy: a first empirical assessment / D'Adda, Diego; Iacobucci, Donato; Palloni, Roberto. - In: PAPERS IN REGIONAL SCIENCE. - ISSN 1435-5957. - 99:3(2020), pp. 405-425. [10.1111/pirs.12492]
Relatedness in the implementation of Smart Specialisation Strategy: a first empirical assessment
D'Adda Diego;Iacobucci Donato
;Palloni Roberto
2020-01-01
Abstract
Smart Specialisation Strategy required regional authorities to identify technological domains where to concentrate investment in R&D and innovation. Their choices should originate from an analysis of regional strengths, aiming to identify those domains with the greatest potential for innovation and diversification. This paper aim to assess the degree of relatedness between chosen technological domains. We use patent data to categorize technological domains and the revealed associations methodology to measure their degree of relatedness. We find that the choices made by Italian regions show a significant higher relatedness as compared to a random choice, though with notable exceptions.File | Dimensione | Formato | |
---|---|---|---|
Papers in Regional Science - 2019 - D Adda - Relatedness in the implementation of Smart Specialisation Strategy a first.pdf
accesso aperto
Tipologia:
Versione editoriale (versione pubblicata con il layout dell'editore)
Licenza d'uso:
Creative commons
Dimensione
508.31 kB
Formato
Adobe PDF
|
508.31 kB | Adobe PDF | Visualizza/Apri |
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.