Abstract:By the exploratory spatial data analysis (ESDA) and geographically weighted regression (GWR) approaches, this paper analyzes both the spatial modes and influences on the regional innovation output of EU of human capital from 2008 to 2015. The results are that: Firstly, although overly there is spatial correlation of human capital in EU, the trend of diffusion is gradually developed; secondly, there are various spatial agglomeration modes of human capital elements in different nations; Last but not the least, most of human capital variables have positive effects on the patent applications of EU. The new doctorate graduates per 1 000 population aged 25-34 plays the most outstanding positive role on the innovation output, followed by the proportion of non-EU doctorate students of all doctorate students and percentage population aged 30-34 having completed tertiary education. Compared with above variables, the variable-percentage youth aged 20-24 having attained at least upper secondary level education has negative effects on the innovation output.
