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...

This paper investigates to what extent the different subsectors of the knowledge economy are subject to sector-specific spatial patterns of employment dynamics, and whether these patterns are conditional upon the general economic climate in a particular region. To this end, we analyze and...

There is a broad consensus in the literature in that R&D is a precondition for innovation and in turn, for economic growth. On the regional level, this implies that regions with a high stock of R&D should reveal better results when it comes to economic performance. This presumption has lead...