We study optimal subsidies for renewable energy (RE) generation to internalize external benefits from intertemporal learning-by-doing spillovers, taking into account increasing marginal costs at the industry level due to limited availability of sites suitable for RE. We find that the optimal RE...

This paper attempts to analyze the impact of knowledge and knowledge spillovers on regional total factor productivity (TFP) in Europe. Regional patent stocks are used as a proxy for knowledge, and TFP is measured in terms of a superlative index. We follow Fischer et. al (2008) by using a...

A large and still growing body of literature suggests that entrepreneurship is of exceptional importance in explaining regional specific efficiencies of knowledge spillovers. Although quantifying the impact of entrepreneurial activity for economic growth is an interesting issue -- particularly...

Recently, there has been wide interest in the "economics" of population aging. Demographic change has crucial consequences for economic behavior; it e.g. implies that consumption and investment decisions vary over the life-cycle. The latter has important implications for economic growth, whereas...

Knowledge spillovers have recently been analysed by Barde (2009) and Ostbye (2010) in a spatial general equilibrium framework. Both studies lack explicit micro foundations for the spillovers - spillovers just take place and depend on firm density. The models must therefore be seen as reduced...

The aim of this paper is to develop a spatial model that explicitly incorporates the different types of knowledge spillovers taking place in cities and to show how they affect the migration decision of individuals and the size of cities. We use a static general equilibrium framework with two...

This paper applies functional regression to precise geo-coded register data to measure productivity spillovers from high-skilled workers. We use a smoothing splines estimator to model the spatial distribution of high-skilled workers as continuous curves. Our rich panel data allows us to address...

We use a dynamic model to study the effects of technology and learning on the long run economic growth rates of a leading and a lagging region. New technologies are developed in the leading region but technological improvements in the lagging region are the result of learning from the leading...