The presence of knowledge spillovers and shared human capital is at the heart of the Marhall-Arrow- Romer externalities hypothesis. Most of the earlier empirical contributions on knowledge externalities, however, considered data aggregated at a regional level so that conclusions are based on the...

Why do industrial clusters occur in space? Is it because industries need to stay close together to interact or, conversely, because they concentrate in certain portions of space to exploit favourable conditions like public incentives, proximity to communication networks, to big population...

The use of the K-functions (Ripley, 1977) has become recently popular in the analysis of the spatial pattern of firms. It was first introduced in the economic literature by Arbia and Espa (1996) and then popularized by Marcon and Puech (2003), Quah and Simpson (2003), Duranton and Overman (2005)...

The paper proposes a novel methodology to assess the role of “location” in shaping firm growth. Along with traditional determinants (e.g., age, size and financial constraints), geographical location is alleged to drive firm growth. The...

In this paper, a shift-share decomposition analysis of business change at plant-level is applied to Italian regions with reference to the period 2004-2009. In particular, a spatial version of shift-share analysis allows to look not only at the national, industrial mix and regional-shift...

This paper looks at spatial and sectoral effects on firm entry and exit in Italian NUTS-3 regions, over the period 2004-2009. We use a new version of spatial shift-share decomposition which looks more effectively at the neighbourhood influence, beyond traditionally looking at national,...

In this paper we aim at identifying stylized facts in order to suggest adequate models of spatial co–agglomeration of industries. We describe a class of spatial statistical methods to be used in the empirical analysis of spatial clusters. Compared to previous contributions using point pattern...

Maximum likelihood estimation of spatial models based on weight matrices typically requires a sizeable computational capacity, even in rel- atively small samples. The unilateral approximation approach to spatial models estimation has been suggested in Besag (1974) as a viable alternat- ive to...

In this paper we compare the relative efficiency of different forecasting methods of space-time series when variables are spatially and temporally correlated. We consider the case of a space-time series aggregated into a single time series and the more general instance of a space-time series...