Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/120470
Authors: 
Basile, Roberto
Benfratello, Luigi
Castellani, Davide
Year of Publication: 
2012
Series/Report no.: 
52nd Congress of the European Regional Science Association: "Regions in Motion - Breaking the Path", 21-25 August 2012, Bratislava, Slovakia
Abstract: 
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 greenfield investments occurred over the 2003-2007 period in 249 European regions. The inclusion of a geoadditive component (a smooth spatial trend surface) permits us to control for spatial unobserved heterogeneity which induces spatial clustering. Allowing for nonlinearities reveals, in line with theoretical predictions, that the positive effect of agglomeration economies fades as the density of economic activities reaches some limit value. However, no matter how dense the economic activity becomes, our results suggest that congestion costs would never overcome positive agglomeration externalities.
Subjects: 
Geoadditive models
Negative binomial models
Industrial location
European Union
JEL: 
C14
C21
F14
F23
Document Type: 
Conference Paper

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