&D investment on long run growth. We use this framework to identify a structural vector autoregressive (SVAR) model on GDP growth …

, we find that innovation performance exhibits a high degree of inertia. Further, some other observed firm characteristics … be relevant determinants of the likelihood of innovation …

innovation is a crucial productivity driver, a potential crowding out of inventive efforts could increase the cost of mitigating …. However, we do not find negative effects on the number of ongoing R&D projects, investments in innovation-related fixed assets … or on the outcome of innovation projects. Likewise, for firms with subsidy-backed environmental innovations no crowding …

innovation is a crucial productivity driver, a potential crowding out of inventive efforts could increase the cost of mitigating …. However, we do not find negative effects on the number of ongoing R&D projects, investments in innovation-related fixed assets … or on the outcome of innovation projects. Likewise, for firms with subsidy-backed environmental innovations no crowding …

autoregression (SVAR) framework. Applying a data-driven identification strategy based on Independent Component Analysis, it shows how … the regional growth dynamics of economic, research, innovation and educational activities affect each other …