In this paper, a set of neural network (NN) models is developed to compute short-term forecasts of regional employment patterns in Germany. NNs are modern statistical tools based on learning algorithms that are able to process large amounts of data. NNs are enjoying increasing interest in...

Unemployment rates appear to vary widely at a subregional (e.g., local or provincial) level. Using spatial econometric models for spatial autocorrelation, this paper focuses attention on the spatial structure of regional unemployment disparities of Italian provinces. On the basis of findings...

This paper aims to investigate whether the spatial pattern of creative industries in the Netherlands has a relationship with the presence of cultural heritage or, in a more general sense, cultural capital. It first shows how the creative sector developed between 1994 – 2009 in relation to...

The business performance of firms in the creative high-tech sector shows much variation. This paper examines whether the geographical location of such business firms influences the performance of these firms. The overarching analysis framework of this paper emerges from the recently developed...

This paper investigates patterns of manufacturing location in the context of increased economic integration in Central and East European countries. Using regional data for the period 1990-1999, we identify and compare patterns and determinants of manufacturing location in five European Union...

There is an increasing awareness of the potential of nonlinear modeling in regional science, which can partly be explained by the recognition of the limitations of conventional equilibrium models in complex situationsand partly by the easy availability and accessibility of sophisticated...

This paper addresses the validity of Newton’s universal gravitation law in the emerging digital world. It is argued that the Newtonian gravity principle may also have a validity in cyberspace, but that Tobler’s ‘First Law of Geography’ offers a more appropriate approach.

This paper presents a new methodology for evaluating ‘urban buzz’ districts as part of a general urban rehabilitation policy, in which forward-fitting plans are incorporated and play a key role. Such plans are part of smart city initiatives based on a blend of creativeness and intelligence....

This paper introduces cultural gravity as a new concept for analyzing socio-economic disparities among immigrants. It tests the existence of cultural gravity effects on the geographic concentration and human capital productivity of immigrants. Using cultural distance as a proxy for the local...

Using a panel of 439 German regions, we evaluate and compare the performance of various Neural Network (NN) models as forecasting tools for regional employment growth. Because of relevant differences in data availability between the former East and West Germany, the NN models are computed...