This paper contributes to the recent literature in spatial econometrics that focuses on space-time data modeling implementing a multi-location time-series statistical framework to analyze a regional system. Therefore, taking as a point of departure the Global Vector Autoregression approach...

New knowledge generated by an economic agent in a region will tend over time to flow to other economic agents in the same region but also to economic agents in other regions. It is quite common in the literature to use the concept of knowledge spillovers for such knowledge flows, irrespective of...

The knowledge production function, which has initially been suggested as a mean to measure of technological externalities, is extended here to the spatial dimension. After accounting for spatial autocorrelation, two interesting results are worth noting : 1) distance matters when it comes to...

The paper aims at analysing the impact of territorial capital endowment on the economic growth process measured by exports and employment growth for the 103 italian provinces over the period 1999-2011. A broader concept of territorial capital has been used (Camagni, 2008) which takes into...

In this paper, we examine the spatial configuration of Tunis metropolis. First, we use an Exploratory Spatial Data Analysis (ESDA) in order to visualize the centrality of employment and population densities between 1994 and 2004. Second, we estimate, using spatial econometric models, three...

Relying on fiscal competition and yardstick competition models, this article proposes to highlight horizontal interactions existence within French local governments, extending classical analysis of interactions to level of public expenditures. By using French social public expenditures and...

Even thought the integration process is still been in UE, regional integration dynamics of space seems to be a crucial issue. The reflections engaged, the SDEC in particular, aim at promoting a wilful policy of polycentric adjustment of the European space. Thus, we are led to consider both the...

The spatial interactions between the areas express the existence of a spatial dependence also called autocorrelation. The modelization of these interactions requires the use of spatial weights matrix. In the literature, the matrix of adjacency and k-nearest neighbors are most usually used. We...