The main objective of this paper is to provide greater understanding of the systems of innovation
approach as a flexible and useful conceptual framework for spatial innovation analysis. …

The role of knowledge exchange and research cooperation between public research and
the enterprise sector has received increasing attention in the analysis of innovation and …

Spatial data are an important source of scientific information. The development of high
capacity and fast desk and laptop computers and the concomitant creation of geographic …

Spatial econometric theory and practice have been dominated by a focus on object data. In
economic analysis these objects correspond to economic agents with discrete locations in …

We attempt to clarify a number of points regarding use of spatial regression models for regional
growth analysis. We show that as in the case of non-spatial growth regressions, the effect …

This paper provides some evidence on the importance of geographically mediated knowledge
spillovers from university research activities to regional knowledge production in high-…

This paper presents a theoretical growth model that extends the Mankiw–Romer–Weil (MRW)
model by accounting for technological interdependence among regional economies. …

The availability of spatial databases and widespread use of geographic information systems
has stimulated increasing interest in the analysis and modelling of spatial data. Spatial data …

A novel rough set approach is proposed in this paper to discover classification rules through
a process of knowledge induction which selects decision rules with a minimal set of features …

Club-convergence analysis provides a more realistic and detailed picture about regional
income growth than traditional convergence analysis. This paper presents a spatial …