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This article proposes an empirical investigation of regional trade flows following a cross-section method. For this purpose, the author refers to a regional context looking at a chosen sample of European regions. She mainly intends to assess the role of the home market effect and the level of transport costs in driving regional export flows. In particular, she is interested in testing the importance of spatial components in regional trade analysis. By simply adapting the gravity model approach to her framework, she is able to prove that physical distance smooths the intensity of trading flows while local transport facilities as well as local demand foster them.

We propose an analysis to identify the degree of spatial segregation among different communities of residents in Barcelona. We elaborate a theoretical setting as an extension of the monocentric framework, yielding the creation of mixed spatial units. Our idea is to assess the extent to which spatial segregation is connected to the urban spatial structure, the neighbourhood's status, and the spatial autocorrelation. As a novelty, we perform the empirical exercise by relying on an original database that gathers information for the period 1947-2011. Estimations emphasize that Barcelona increasingly shows a spatial segregation pattern that is based mostly on the gentrification of high-skill workers.

This study provides an empirical application of the Bayesian approach for modelling the evolution of population density distribution across time. It focuses on the case of Massachusetts by tracking changes in the importance of spatial distance from Boston concerning citizens' choices of residence according to data for 1880-1890 and 1930-2010. By adopting a Bayesian strategy, results show that Boston reinforced its attractiveness until the 1960s, when the city's accessibility no longer represented the unique determinant of population density distribution. Referring to selected historical evidence, a few possible interpretations are presented to endorse these results.

This paper aims at analysing the importance of local determinants to foreign direct investment (FDI) in three European regional case studies. The originality of the approach lies in the use of disaggregated data by sector and by region. The results are threefold. First, regional demand and productivity are fundamental FDI determinants, confirming most studies with national data. Second, regional FDI inflows are more dependent on regional than national determinants. Finally, the effect of market potential measured with absolute GDP on regional FDI diminishes linearly with distance and does not when measured with GDP per capita.