2019
DOI: 10.1080/13501763.2019.1578816
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The EU as a savior and a saint? Corruption and public support for redistribution

Abstract: While the European Union is plagued by considerable social and economic inequality, not least in the wake of both the enlargement of the Union and the financial crises, we know surprisingly little about the sources of public support for redistribution and the EU:s most significant tool for reducing inequalities: Cohesion Policy. We suggest that, while identity, ideology and utilitarian concerns may motivate support for international redistribution, such support is highly contingent on perceptions of domestic c… Show more

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Cited by 33 publications
(44 citation statements)
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References 45 publications
(59 reference statements)
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“…Thus, perhaps EU money can't buy EU love, but at least it makes negative attitudes towards the EU less likely. By pointing to this relationship, we add to the growing body of research on the regional impacts of Cohesion Policy on the citizens' perceptions of the EU (Bauhr & Charron, 2019;Borz et al, 2018), confirming the potential of Cohesion Policy to create a less negative sentiment towards the EU.…”
Section: Discussionsupporting
confidence: 60%
“…Thus, perhaps EU money can't buy EU love, but at least it makes negative attitudes towards the EU less likely. By pointing to this relationship, we add to the growing body of research on the regional impacts of Cohesion Policy on the citizens' perceptions of the EU (Bauhr & Charron, 2019;Borz et al, 2018), confirming the potential of Cohesion Policy to create a less negative sentiment towards the EU.…”
Section: Discussionsupporting
confidence: 60%
“…By exploiting the rich information of the PERCEIVE survey (Bauhr & Charron, , ) the determinants of EU identity and individual identification have been discussed from an empirical point of view by Lopez‐Bazo and Royuela (). They identify and group the main influences: Political capital, Ideology, Socio‐economic context, Country level variables.…”
Section: Methodsmentioning
confidence: 99%
“…For building the model we rely on data from a sample survey developed within the PERCEIVE project (Bauhr & Charron, , ) and a dataset that brings together information from several official secondary sources at regional level (NUTS 1 and NUTS 2) in a panel format (Charron, ).…”
Section: Data Descriptionmentioning
confidence: 99%
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