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...

Based on a standard idea-based model of endogenous growth we test the hypothesis that regional innovative activity is path-dependent, and investigate the geographical scope of knowledge spillovers. Using data for West-German regions, two alternative indicators of the stock of knowledge are...

The estimation of the impact of public investment on regional economic growth requires consideration of the spatio-temporal dynamics among the state variables of each region. Recent austerity policies in Spain that feature temporary decreases in the accumulation of regional public capital should...

By studying the interaction between social capital and decentralization, we show that political decentralization can be a source of divergence across heterogeneous regions. In particular, we claim that since the local endowments of social capital display their effect on the economy mainly...

Innovation and technological change are central to the quest for regional development. In the globally-connected knowledge-driven economy, the relevance of agglomeration forces that rely on proximity continues to increase, paradoxically despite declining real costs of information, communication...

This paper addresses the question to what extent the performance of industrial sites is affected by their local economic structure and accessibility. For this aim, we test for the existence of statistically significant relationships between agglomeration externalities (specialization, diversity,...