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Relatedness in the implementation of Smart Specialisation Strategy: a first empirical assessment
Author(s) -
D'Adda Diego,
Iacobucci Donato,
Palloni Roberto
Publication year - 2020
Publication title -
papers in regional science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.937
H-Index - 64
eISSN - 1435-5957
pISSN - 1056-8190
DOI - 10.1111/pirs.12492
Subject(s) - diversification (marketing strategy) , categorization , investment (military) , business , technological change , measure (data warehouse) , industrial organization , economic geography , knowledge management , marketing , economics , computer science , data mining , political science , artificial intelligence , politics , law
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.