We propose a geoadditive negative binomial model (Geo-NB-GAM) for regional count data which allows us to simultaneously address some important methodological issues, such as spatial clustering, nonlinearities and overdispersion. We apply this model to study location determinants of inward...

During the nineties, Europe became a major recipient of FDIs but Italian regions have been largely excluded from this process. Was it due to their characteristics, or were Italian regions ‘doomed’ by a negative country effect? In this paper we address this issue by estimating the...

We propose a semiparametric geoadditive negative binomial model of industrial location which allows to simultaneously address some important methodological issues, such as spatial clustering and nonlinearities, which have been only partly addressed in previous studies. We apply this model to...

This paper addresses two important methodological issues in the analysis of industrial location: spatial dependence and nonlinearities. To this end, we estimate a semi-parametric spatial autoregressive negative binomial model using data on the number of inward greenfield FDI occurred over the...

During the nineties, Europe became a major recipient of FDIs but Italian regions have been largely excluded from this process. Was it due to their characteristics, or were Italian regions 'doomed' by a negative country effect? In this paper we address this issue by estimating the determinants of...

Foreign direct investments in Europe have grown substantially over the last decade, but Italian regions account for a very small portion of such increase. Why does Italian regions attract such a low number of foreign investors? Is it a regional or a country problem? One explanation for this...