Policy Networks Across Political Systems
Dados Bibliográficos
| ID | 6231653 |
|---|---|
| Autores | Florence Metz (0000-0002-8855-0271, University of Twente, autor correspondente), Laurence Brandenberger (0000-0003-0392-9766, ETH Zurich, autor correspondente) |
| Ano | 2023 |
| Volume | 67 |
| Fascículo | 3 |
| Páginas | 569-586 |
| Data de publicação | 2023-07-01 |
| Peer Reviewed | Sim |
| Open Access | Sim |
| Tipo | ARTICLE |
| Periódico | American Journal of Political Science (JOURNAL) |
| Identificadores do periódico | ISSN: 0092-5853 • E-ISSN: 1540-5907 |
| Editora | Wiley (PUBLISHER • GB) |
| DOI | 10.1111/ajps.12699 |
| OpenAlex | W4210952281 |
| Idioma | EN |
| Citações recebidas | 14 |
| Referências citadas | 52 |
Polities shape power structures and interaction patterns between actors in policymaking processes. Although the social fabric of interactions is key to successful policymaking, it remains unclear which relational structures are typically found across political systems. By adopting a network approach, we analyse differences in power structures and interaction patterns across four policy networks in German and Swiss consensual–federal, French majoritarian–unitary, and hybrid Dutch consensual–unitary democracies. Using survey data from 149 state and non‐state actors, we fit exponential random graph models and calculate predicted probabilities to compare the four networks. Results show that the consensus democracies institutionalize neighbourhoods of networks where actors share power and collaborate with opponents. Our case of a majoritarian democracy illustrates power concentration with restricted access to competitors, limiting the need to interact and search for compromises with opponents. Findings allow future work to differentiate typical from atypical network structures, given the embeddedness into a political system
Competitor analysis · Core (optical fiber · Democracy · Economic system · Economics · Embeddedness · Exponential random graph models · Geography · German · Graph · Limiting · Political science · Politics · Power (physics · Random graph · Social science · Sociology · State (computer science · Unitary state · Computer Science · Electoral Systems and Political Participation · Engineering · Law · Policy Transfer and Learning · Public Policy and Administration Research · Theoretical Computer Science
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| Obras citantes distintas | 14 |
|---|---|
| Citações por ano | 4,67 |
| Intervalo de citações | 2023 - 2025 (3) |
| Velocidade de citação | recent |
| Altamente citado | Não |
| Tipos de citação | Neutras: 14 |