Synopsis
Learning to Govern Together in Representative Democracy introduces a dynamic theory on coalition governance and circular regression for studying joint policy-making of coalition parties, which considers the “pro tempore” nature of representative democracy. Because representative democracy limits the time to govern, the implementation of a common policy agenda is temporarily constrained. In parliamentary democracies, in which coalition governance is the rule, this temporal constraint demands that coalition parties overcome their collective action problems in joint policy-making within a term.
This book argues that the cooperative and competitive incentives of coalition parties vary over time. In the beginning of a term, coalition parties only have a prior belief about the type of partnership, and ministerial office-holders, who are responsible for the implementation of a common policy agenda, do not know how many bills they will initiate and whether their partner will respond cooperatively or competitively to their bill proposals. Over time, however, they can learn this type from experienced interactions in joint policy-making to optimize the timing of further bill initiation. To derive propositions and hypotheses on timing of bill initiation, the authors distinguish two learning models, a portfolio-model with autonomous learning from experienced interactions within the own jurisdiction, and a partisan-model with considering experienced interactions of co-partisan office-holders. The empirical examination of these models for the timing of bill initiation covers 11 parliamentary democracies, in which about 25.000 government bills were initiated and immediately approved or scrutinized in parliament. The findings show that ministerial office-holders infer the type of partnership from the duration of parliamentary scrutiny and initiate further bill proposals either early, if they learned about a cooperative type that immediately approved their bills, or late, if they learned about a competitive type that subjected their bills to intense parliamentary scrutiny. The results further reveal variation across the periods of a term, in which the cooperative and competitive incentives of coalition parties vary due to the temporal constrains for representative democracy.
The book provides an understanding of the dynamics of coalition effectiveness, stability of coalition government, and satisfaction with coalition governance, which are determined by learning about the cooperative or competitive partnership type, portfolio- or partisan learning, and the early or late timing of bill initiation.
Comparative Politics is a series for researchers, teachers, and students of political science that deals with contemporary government and politics. Global in scope, books in the series are characterized by a stress on comparative analysis and strong methodological rigour. The series is published in association with the European Consortium for Political Research. For more information visit: www.ecprnet.eu .
The series is edited by Nicole Bolleyer, Chair of Comparative Political Science, Geschwister Scholl Institut, LMU Munich and Jonathan Slapin, Professor of Political Institutions and European Politics, Department of Political Science, University of Zurich.
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About the Author
Thomas König, Professor for European Politics, Political Science Department, University of Mannheim,Xiao Lu, Assistant Professor, School of International Studies, Peking University,Thiago N. Silva, Lecturer, School of Politics & International Relations and Deputy Director, Australian Australian National University.
Thomas König has been a Chairholder for European politics at the University Mannheim since 2007, after professorships at the German University, Washington University St. Louis, and the University of Konstanz. After studies at the universities of Heidelberg and Mannheim, he moved to the University of Kiel and started his international career with a Marie-Curie fellow as Assistant Professor at the University of Groningen, followed by a Heisenberg fellowship at Stanford University. In this period, he collaborated in several international projects, which were awarded by a nomination for the Descartes Prize and honoured by guest professorships.
Xiao Lu is Assistant Professor at the School of International Studies at Peking University, and Director of Data and Methodology at Analytics Lab for Global Risk Politics, Peking University. He received his Ph.D. in Political Science from Mannheim University and his research focuses on developing both theoretical and statistical models for analyzing heterogeneous and dynamic political process, with a special focus on party competition, legislative decision making, and political representation and accountability of coalition governance in European countries. His work has been published in American Political Science Review, Political Analysis, European Journal of Political Research, Journal of Theoretical Politics, among others.
Thiago N. Silva is a Lecturer at the School of Politics & International Relations and Deputy Director of the Australian Centre for Federalism at the Australian National University. Silva received his Ph.D. in Political Science from Texas A&M University, USA, and, from 2019-2022, was a Postdoctoral Researcher in Political Economy at the University of Mannheim, Germany. His research agenda focuses on comparative politics, with an emphasis on political institutions and political economy. In his recent projects, he examines the dynamics of coalition governance in both presidential and parliamentary democracies and their impact on party competition, voter behaviour, and opposition behaviour.
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