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Mapping citizens' identification with the EU
Author(s) -
Brasili Cristina,
Calia Pinuccia,
Monasterolo Irene
Publication year - 2019
Publication title -
regional science policy and practice
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.342
H-Index - 8
ISSN - 1757-7802
DOI - 10.1111/rsp3.12227
Subject(s) - identification (biology) , cohesion (chemistry) , exploit , probabilistic logic , regional science , member states , political science , computer science , european union , geography , artificial intelligence , business , computer security , economic policy , botany , biology , chemistry , organic chemistry
Do citizens show different patterns of European identification? Are the results driven by specific regional characteristics? Has Cohesion Policy an influence on EU citizens' identification? With the aim to answer these questions, we develop a novel probabilistic model that allows classification of citizens according to their different patterns of identification with Europe and the European project. This model exploits the heterogeneity of citizens' identification patterns across the European regions and how they are influenced by individual and regional characteristics. The results of the analysis at regional level are presented with regards to nine case‐study regions. The model builds on PERCEIVE's research results that develop the theoretical framework for the definition and measurement of the level of identification with EU and its drivers.