Innovation research has become an important topic in regional science analysis. Yet the modelling base of much innovation research is still feeble. This paper aims to map out the research potential of recent approaches in quantitative complexity analysis, in particular Neural Networks (NNs)...

In this paper, we present a review of various computational experiments - and consequent results - concerning Neural Network (NN) models developed for regional employment forecasting. NNs are widely used in several fields because of their flexible specification structure. Their utilization in...

An avalanche of empirical studies has addressed the validity of the rank-size rule (or Zipf’s law) in a multi-city context in many countries. City size in most countries seems to obey Zipf’s law, but the question under which conditions (e.g. sample size, spatial scale) this ‘law’ holds...

This paper aims to investigate the relationship between commuting and spatial labour market developments in the framework of sustainability issues. To do so, we propose, first, an exploratory investigation of the effects of inbound commuter flows on employment in regional labour markets in...