A network analysis of intra-EU migration flows: how regulatory policies, economic inequalities and the network-topology shape the intra-EU migration space

Abstract

Using a network approach, we investigate the determinants of intra-EU migration flows between all 28 EU member states in the years 2001, 2005, 2008 and 2013. Our descriptive analysis of the networks of intra-EU migration flows shows that the EU migration space is dominated by two core destination countries (Germany and United Kingdom). The results of our cross-sectional exponential random graph models (ERGM) reveal that the status of Germany and the United Kingdom (UK) as core destination countries remains a robust characteristic of the network of intra-EU migration flows over time, even when controlling for GDP, unemployment rates or shared geographical borders between destination and source countries. Furthermore, our results point to the differentiated effects of national economic performance on outgoing and ingoing flows: GDP per capita mainly affects intra-EU inflows, while unemployment rates tend to influence outmigration. Lastly, regulatory linkages – measured with the accession to the EU of source countries and the opening of the labour market of destination countries – exert a moderate effect on intra-EU migration flows when taking into account the national economic performances of source and destination countries, the core status of Germany and the United Kingdom, and the shared borders between destination and source countries.