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Traditionally, the effectiveness of European Cohesion Policy has been evaluated in terms of GDP growth rate. In this paper, we consider the effect of the regional policy in terms of its impacts on two specific fields of intervention, namely 'research, technological development and innovation', and 'transport infrastructure'. Our econometric approach involves the use of a non-parametric regression discontinuity design technique to a uniquely-disaggregated Cohesion Policy dataset broken down according to the specific objectives of each stream of funding. The analysis considers different time intervals and sub-samples. Our results demonstrate a positive impact of Cohesion Policy interventions in these two specific fields of intervention. [ABSTRACT FROM AUTHOR]

This paper analyses the determinants of regional economic growth in the European Union adopting a non-parametric approach. Although the local-linear kernel estimator applied does not explicitly take into account the spatial dimension of the data, it is found to be consistent in our context. In addition, the geographically weighted regression turns out to be less efficient. We obtain evidence of a non-linear relationship between regional growth and its determinants in the form of parameter heterogeneity and threshold effects. These non-linearities mainly affect the initial productivity of labour, the human capital endowment and, as a novelty, the level of infrastructures. [ABSTRACT FROM AUTHOR]