Spatial inequality in global economic development has left Africa with the least progress in improving living standards among developing regions of the world. Moreover, there are strong neighborhood effects within Africa. This paper revisits the explanation of unequal growth across countries in...

We introduce a new methodology to detect and measure economic activity using geospatial data and apply it to steel production, a major industrial pollution source worldwide. Combining plant output data with geospatial data, such as ambient air pollutants, nighttime lights, and temperature, we...

The diffusion of spillovers in the EU regions has often been discussed in recent years. Many studies have dealt with the issue of convergence and divergence. However, the theoretical explanation of spillovers and the effects of the integration on regional interaction have usually been neglected....

This study examines the role of proximity in regional growth using a multi-dimensional framework, for seven EU countries during 1990–2005. We incorporate geographical as well as economic and technological effects in two seminal growth models in order to test for the existence and magnitude of...

Spatial modeling of economic phenomena requires the adoption of complex econometric tools, which allow us to deal with important methodological issues, such as spatial dependence, spatial unobserved heterogeneity and nonlinearities. In this paper we describe some recently developed econometric...

This paper estimates the impact of public investment on regional economic growth and convergence at the NUTS III level in Greece. Using a new database of public expenditure per region for the period 1978-2007, it proposes a model which captures not just the impact of public investment in Greek...

In applied historical research, geographic units often differ in level of aggregation across datasets. One solution is to use crosswalks that associate factors located within one geographic unit to another, based on their relative areas. We develop an alternative approach based on relative...

A new and extensive panel of outward foreign direct investment (FDI) at the sector level is used to estimate the determinants of non-resource and resource FDI. Since FDI is I(1), we estimate panel error-correction models of FDI with spatial lags for FDI and market potential. Our main result is...

A new and extensive panel of outward nonresource and resource FDI is used to investigate the effect of natural resources on the different components of FDI. Our main findings are as follows. First, for countries which were not a resource producer before, a resource discovery causes nonresource...