Knowledge composition, Jacobs externalities and innovation performance in European regions
分析了欧洲区域知识存量构成对创新绩效的影响，运用Hidalgo-Hausmann方法研究专利数据，发现知识构成通过雅各布斯外部性驱动区域创新。
Knowledge composition, Jacobs externalities and innovation performance in European regions. Regional Studies. This paper analyses the role of the composition of the regional stock of knowledge in explaining innovation performance. It 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 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 the 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.