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Dealing with bad guys

Actor- And Process-Level Determinants of the “Devil Shift” in Policy Making

Dados Bibliográficos

ID6297075
AutoresManuel Fischer (0000-0003-3065-0891, Swiss Federal Institute of Aquatic Science and Technology), Karin Ingold (0000-0001-8166-1780, University of Bern), Pascal Sciarini (0000-0003-0782-7652, University of Geneva), Frédéric Varone (0000-0002-5620-3291, University of Geneva)
Ano2016
Volume36
Fascículo2
Páginas309-334
Data de publicação2016-06-01
Peer ReviewedSim
Open AccessSim
TipoARTICLE
PeriódicoJournal of Public Policy (JOURNAL)
Identificadores do periódicoISSN: 0143-814X • E-ISSN: 1469-7815
EditoraCambridge University Press (CUP) (PUBLISHER)
DOI10.1017/s0143814x15000021
OpenAlexW2063463030
IdiomaEN
Citações recebidas34
Referências citadas61

Policy actors tend to misinterpret and distrust opponents in policy processes. This phenomenon, known as the “devil shift”, consists of the following two dimensions: actors perceive opponents as more powerful and as more evil than they really are. Analysing nine policy processes in Switzerland, this article highlights the drivers of the devil shift at two levels. On the actor level, interest groups, political parties and powerful actors suffer more from the devil shift than state actors and powerless actors. On the process level, the devil shift is stronger in policy processes dealing with socio-economic issues as compared with other issues. Finally, and in line with previous studies, there is less empirical evidence of the power dimension of the devil shift phenomenon than of its evilness dimension

Dimension (graph theory · Distrust · Economics · Epistemology · Law and economics · Paradigm shift · Phenomenon · Political economy · Political science · Politics · Positive economics · Power (physics · Process (computing · Sociology · State (computer science · Computer Science · Electoral Systems and Political Participation · Law · Policy Transfer and Learning · Political Influence and Corporate Strategies

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Obras citantes distintas34
Citações por ano3,4
Intervalo de citações2016 - 2026 (11)
Velocidade de citaçãocurrent
Altamente citadoNão
Tipos de citaçãoNeutras: 33
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