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- aggregation classification "C1".
- aggregation creator person.
- aggregation date "2010".
- aggregation format "application/pdf".
- aggregation hasFormat 1005588.bibtex.
- aggregation hasFormat 1005588.csv.
- aggregation hasFormat 1005588.dc.
- aggregation hasFormat 1005588.didl.
- aggregation hasFormat 1005588.doc.
- aggregation hasFormat 1005588.json.
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- aggregation hasFormat 1005588.rdf.
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- aggregation hasFormat 1005588.txt.
- aggregation hasFormat 1005588.xls.
- aggregation hasFormat 1005588.yaml.
- aggregation language "eng".
- aggregation subject "Law and Political Science".
- aggregation title "Coalition formation in Belgian municipalities. Theoretical stage-setting and empirical try-out.".
- aggregation abstract "This paper examines coalition formation at the local level in Belgian municipalities. Coalition theories are mostly tested at the national level and much less attention is paid to local coalitions. However, the number of coalition governments and the fragmentation of political parties also increased at the local level. Investigating coalition theories at the local level has several advantages. Within one country a large amount of coalitions is created at the same time. Most coalition theories use empirical tests to predict coalition outcomes. These theories vary from very simple to very complicated theories. Including qualitative methods in coalition research might be a solution to limit the shortcomings of quantitative coalition research. In this paper we look at the results of the most recent local elections in Belgium in 2006. We examine several size theories and are able to compare these results with former local election results. The number of possible coalitions predicted by these theories is high. Therefore we also include qualitative research methods, based on the nested analysis approach. Using case studies we scrutinize the coalition formation process in two cities: Mechelen, where the coalition was predicted by the size theories, and Sint-Truiden, where no size theory predicted the coalition outcome. By opting for two completely different cases we can find new explanatory variables for our research.".
- aggregation authorList BK199665.
- aggregation aggregates 1006680.
- aggregation isDescribedBy 1005588.
- aggregation similarTo LU-1005588.