Spatial patterns of European innovation: a spatial econometric approach with technological proximity weights

Andrea Furková

doi:10.54609/reaser.v27i1.291

Andrea Furková University of Economics in Bratislava https://orcid.org/0000-0002-8344-7806

DOI: https://doi.org/10.54609/reaser.v27i1.291

Keywords: European Innovation, Spatial Econometrics, Technological similarity

Abstract

The paper deals with a spatial econometric analysis of 220 European regions. The analysis follows the Mixed Geographically Weighted Regression – Spatial Autoregressive approach. Patent applications were a proxy for innovation output. Instead of traditionally applied geographical proximity, the technological similarity was considered. The results supported the assumption of spatial differentiation of model parameters and indicated that regional innovation activities do not have only a local character in almost half of the regions. The region's technological similarity appears to be a significant factor stimulating innovation for regions that are not among the top innovators.

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