Toward a European Society: Single Market, Binational Marriages, and Social Group Formation in Europe (EUMARR)

The project examines trends since 1980 in the proportions of binational marriages between citizens of European Union countries. It pays special attention to the nationalities of those entering these marriages. The goal of the demographic analysis is to assess to what extent the European single market has contributed to an increase in binational marriages. In addition, it attempts to determine to what extent changes in the proportion of binational marriages and the distribution of these marriages by nationality are driven by market processes (e.g. greater intra-European migration) and by social and cultural processes (e.g. affinity between citizens of specific nationalities). In addition, the project will examine to what extent being part of a binational marriage is associated with different orientations to European integration, a lowered sense of membership in the national community of origin, a stronger sense of belonging to Europe, and different lifestyles and worldviews.

Identifier
DOI https://doi.org/10.17026/dans-xqk-f2zr
PID https://nbn-resolving.org/urn:nbn:nl:ui:13-c8sp-p8
Metadata Access https://easy.dans.knaw.nl/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=oai:easy.dans.knaw.nl:easy-dataset:62479
Provenance
Creator Heering, E.L.; Valk, H.A.G. de; Mol, C. van; Wissen, L.J.G. van
Publisher Data Archiving and Networked Services (DANS)
Contributor Funding Agency: European Science Foundation (EUI2010-04221); Funding Agency: Netherlands Organisation for Scientific Research - NWO; Funding Agency: Swiss National Science Foundation - SNF; Funding Agency: Research Foundation Flanders - FWO; Funding Agency: Spanish Ministry of Science; Netherlands and Netherlands Interdisciplinary Demographic Institute - NiDi
Publication Year 2016
Rights info:eu-repo/semantics/restrictedAccess; DANS License; https://dans.knaw.nl/en/about/organisation-and-policy/legal-information/DANSLicence.pdf
OpenAccess false
Representation
Language English
Resource Type Dataset
Format .sav; .pdf; .xls
Discipline Geography; Geosciences; Geospheric Sciences; Natural Sciences; Political Science; Social Sciences; Social and Behavioural Sciences
Spatial Coverage the Netherlands