Innovation efficiency in European high-tech industries: Evidence from a Bayesian stochastic frontier approach

Abstract

Innovation output is key to the long run business success in high-technology markets. Since research is costly, the absorption of external knowledge might be a powerful device for improving innovation processes. Considering four high-technology sectors in Europe, we examine to what extent local networking, competitive spillovers, or (unobserved) locational advantages influence innovation processes at the firm level. Since high-technology markets require strong innovative capacity, we specifically investigate the effectiveness of patent blocking as a promising strategy to exclude competition and to improve own competitiveness. We model innovation processes empirically by means of a recent Bayesian stochastic frontier approach that allows for spatial dependence and spillover effects. Our results indicate that growing pressures to innovate could create vicious levels of innovation competition. Moreover, the access to local networks boosts the pursuit of innovation and enhances innovativeness.