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Knowledge Composition, Jacobs Externalities and Innovation Performance in European Regions

Cristiano Antonelli (), Francesco Crespi, Christian Alexander Mongeau Ospina and Giuseppe Scellato ()
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Giuseppe Scellato: University of Turin, http://www.est.unito.it/

Department of Economics and Statistics Cognetti de Martiis LEI & BRICK - Laboratory of Economics of Innovation "Franco Momigliano", Bureau of Research in Innovation, Complexity and Knowledge, Collegio Carlo Alberto. WP series from University of Turin

Abstract: This paper analyses the role of the composition of the regional stock of knowledge in explaining innovation performance. The paper provides three main contributions. First, it investigates the relevance of Jacobs knowledge externalities in characterizing the technological capabilities at the regional level. Second, it applies the Hidalgo-Hausmann (HH) methodology to analyze knowledge composition by looking at patent data of 214 regions, located in 27 state members of the European Union (EU) during the years 1994- 2008. Third, it econometrically assesses the role of knowledge base composition in a knowledge generation function. The results of the empirical analysis confirm that the characterization of regional knowledge base through the HH indicators provides interesting information to understanding its composition and to qualify it as a provider of the Jacobs knowledge externalities that account for the dynamics of regional innovative performance.

Pages: 31 pages
Date: 2016-07
New Economics Papers: this item is included in nep-cse, nep-eff, nep-eur, nep-geo, nep-ino, nep-knm, nep-tid and nep-ure
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Related works:
Journal Article: Knowledge composition, Jacobs externalities and innovation performance in European regions (2017) Downloads
Working Paper: Knowledge Composition, Jacobs Externalities and Innovation Performance in European Regions (2016) Downloads
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Persistent link: https://EconPapers.repec.org/RePEc:uto:labeco:201607

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