This paper studies the spatial random effects and spatial fixed effects model. The model includes a Cliff and Ord type spatial lag of the dependent variable as well as a spatially lagged one-way error component structure, accounting for both heterogeneity and spatial correlation across units. We...

This paper analyses the growth e®ects of EU structural funds using a new panel dataset of 124 NUTS-1 / NUTS-2 regions over the time period 1995-2005. We extend the current literature with regard to at least three aspects: First of all, we extend the time period of investigation, using...

Which of Germanys regions is the most attractive? Where is it best to live and work - on objective grounds? These questions are summed up in the concept quality of life. This paper uses recent research projects that determine this parameter to examine the spatial distribution of quality of life...

We design a conceptual framework for linking two approaches: the literature on absorptive capacity and the literature on spatial knowledge spillovers. Regions produce new knowledge, but only part of it is efficiently adopted in the economy; the share of efficiently adopted technology depends on...

This paper investigates non-linearity in spatial processes models and allows for a gradual regime-switching structure in the form of a smooth transition autoregressive process. Until now, applications of the smooth transition autoregressive (STAR) model have been largely confined to the time...

This paper investigates if differences in environmental regulations can influence FDI flows in a multi-country setting taking into account the so-called "third-country" effects. We examine bilateral FDI flows using a new extended OECD investment database which covers great number of host...

The role of population growth and migration has been emphasized as a key variable to explain deforestation and land conversion in developing countries. The spatial distribution of human population and economic activities is remarkably uneven. At any geographical scale we find that different...

While data used in hedonic property models are inherently spatial in nature, to date the majority of past regression analyses have used OLS models that overlook possible spatial dependence in the data when estimating implicit prices for environmental hazards. This paper explicitly addresses...

The objective of this study is to develop spatially-explicit choice model and investigate its validity and applicability in CA studies. This objective is achieved by applying locally-regressed geographically weighted regression (GWR) and GIS to survey data on hypothetical dogrun facilities...