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Influence in the EU

Measuring Mutual Support

Bibliographic Data

ID10071138
AuthorsMarco Fantini (European Commission), Klaas Staal (0000-0003-3719-8594, Karlstad Business School Karlstad University, corresponding author)
Year2017
Volume56
Issue2
Pages212-229
Publication date2017-08-24
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueJCMS Journal of Common Market Studies (JOURNAL)
Journal identifiersISSN: 0021-9886 • E-ISSN: 1468-5965
PublisherWiley (PUBLISHER • GB)
DOI10.1111/jcms.12586
OpenAlexW2746749358
LanguageEN
Citations received1
References cited28

We assess a country's influence on decision‐making in the Council not merely on the basis of the number of its votes, but based on a novel measure that also takes into account the voting behaviour of other countries. A country that is likely to receive support from other countries will be more influential than a country with more votes, but which tends to be isolated in its policy preferences. We apply the methodology to a novel dataset and use it to assess whether changes in voting weights in the Lisbon Treaty influence the odds of whether countries get what they want when decisions are taken in the Council. We show that large Member States are less successful in getting support from others for their positions, while the changes in voting weights increase large Member States' influence, but statistically significant decrease it only for a subgroup of small Member States

Data mining · Demographic economics · Economics · European union · International economics · Logistic regression · Majority rule · Measure (data warehouse · Member states · Odds · Political science · Politics · Public economics · Statistics · Treaty · Voting · Computer Science · Economic Policies and Impacts · Electoral Systems and Political Participation · Game Theory and Voting Systems · Law · Mathematics

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    Open Access•Sara Hagemann, Stefanie Bailer et al.•JCMS Journal of Common Market…•2019

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    Open Access•Antti Pajala, Mika Widgrèn•European Union Politics•2004

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Unique citing works1
Citations per year0,14
Citation span2019 - 2019 (1)
Citation velocityhistorical
Highly citedNo
Citation typesNeutral: 1

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