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E-raamat: Dynamics of Bureaucracy in the US Government: How Congress and Federal Agencies Process Information and Solve Problems

(University of Oklahoma)
  • Formaat: PDF+DRM
  • Ilmumisaeg: 16-Apr-2015
  • Kirjastus: Cambridge University Press
  • Keel: eng
  • ISBN-13: 9781316309308
  • Formaat - PDF+DRM
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  • Formaat: PDF+DRM
  • Ilmumisaeg: 16-Apr-2015
  • Kirjastus: Cambridge University Press
  • Keel: eng
  • ISBN-13: 9781316309308

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This book develops a new theoretical perspective on bureaucratic influence and congressional agenda setting based on limited attention and government information processing. Using a comprehensive new data set on regulatory policymaking across the entire federal bureaucracy, Samuel Workman develops the theory of the dual dynamics of congressional agenda setting and bureaucratic problem solving as a way to understand how the US government generates information about, and addresses, important policy problems. Key to the perspective is a communications framework for understanding the nature of information and signaling between the bureaucracy and Congress concerning the nature of policy problems. Workman finds that congressional influence is innate to the process of issue shuffling, issue bundling, and the fostering of bureaucratic competition. In turn, bureaucracy influences the congressional agenda through problem monitoring, problem definition, and providing information that serves as important feedback in the development of an agenda.

Arvustused

'Workman proposes an important and completely novel perspective on the relations between Congress and the bureaucracy. Based on a newly collected database of every federal regulation since the 1980s, he shows that Congressional committees and federal agencies are engaged in a mutual dance in which new information coming from agencies signals to Congress that developments require more attention or activity, and that the diversity or range in sources of the regulatory activity signal which parts of the issue require congressional intervention. The book is a model of methodology, theory building, and addressing an important issue of great substantive value: how does government set its agenda, and what is the role of the regulatory apparatus of the state in doing so? It will be seen as a major contribution to the literatures on agenda setting, bureaucratic politics, and congressional policy making for years to come.' Frank R. Baumgartner, University of North Carolina, Chapel Hill 'This is a book that forces us to think about the policy-making process in new ways. It puts bureaucracy at center stage. Rather than characterize the administrative state as the passive implementer of political decisions by elected officials, Workman argues that federal agencies are strategic actors competing for Congress's attention. Congress, in turn, is trying to learn from the administrative state and shape its information-providing activities. This is a book that utilizes amazing new data to illuminate how agencies influence the policy agenda and policy process as attention-seeking and attention-directing institutions.' David E. Lewis, Vanderbilt University, Tennessee

Muu info

This book assesses the influence of bureaucracy in American politics.
List of Illustrations
vii
List of Tables
ix
Acknowledgments xi
1 Bureaucracy and Problem Solving
1(15)
1.1 What Is This Book About?
1(3)
1.2 Why This Book? Why Now?
4(2)
1.3 Dual Dynamics, or "Elmore's Problem"
6(4)
1.4 My Approach
10(2)
1.5 Plan of the Book
12(4)
2 The Dual Dynamics of the Administrative State
16(46)
2.1 Dueling Traditions of Bureaucracy
20(5)
2.2 Finding Tails and Forgetting Bureaucracy
25(1)
2.3 Dual Dynamics
26(22)
2.4 Logic of Dual Dynamics
48(12)
2.5 The New History of the "Public" Bureaucracy
60(2)
3 The Regulatory Process as an Attention Mechanism
62(13)
3.1 Legislative Development
63(2)
3.2 Congressional Bureaucracy and Institutional Development
65(2)
3.3 The Process of Rulemaking
67(2)
3.4 Regulatory Policy Making and System Adaptability
69(2)
3.5 Regulation as Information
71(2)
3.6 Presidential Priorities and Regulatory Policy Making
73(2)
4 Problem Monitoring in the Administrative State
75(32)
4.1 Rise of the Congress--Bureaucracy Nexus
76(3)
4.2 Dual Dynamics as Signaling
79(7)
4.3 Bureaucratic Policy Making
86(7)
4.4 Bureaucratic Problem Monitoring
93(12)
4.5 Signaling and Information
105(2)
5 Problem Prioritization and Demand for Information
107(23)
5.1 Issue Shuffling
108(8)
5.2 Issue Bundling and the "Tuning" of the Information Supply
116(7)
5.3 Competition and the Market for Provision of Information
123(4)
5.4 Congressional Prioritization
127(3)
6 Problem Solving and the Supply of Information
130(21)
6.1 Problem Monitoring
131(7)
6.2 Problem Definition
138(8)
6.3 Information Supply and Feedback
146(4)
6.4 The Dynamics of Problem Solving in the Bureaucracy
150(1)
7 Information, Bureaucracy, and Government Problem Solving
151(12)
7.1 Foundations of the Argument
152(1)
7.2 Congressional Prioritization
153(1)
7.3 Bureaucratic Problem Solving
154(1)
7.4 The Evidence
155(3)
7.5 What Do We Learn?
158(1)
7.6 Implications for Governance and Reform
159(4)
Appendix A Conceptualization and Measurement
163(8)
A.1 Examples of Rules
163(3)
A.2 The Unified Agenda as an Indicator
166(1)
A.3 Iterative Expert-Machine Topic Coding of Regulations
167(1)
A.4 Communications Measures and Information Processing
168(3)
Appendix B Statistical Models
171(8)
B.1 Congressional Problem Prioritization
171(2)
B.2 Bureaucratic Problem Solving
173(6)
References 179(10)
Author Index 189(3)
Subject Index 192
Samuel Workman is an Assistant Professor of Political Science at the University of Oklahoma. He has held the position of J. J. 'Jake' Pickle Research Fellow at the University of Texas, Austin, and the position of Assistant Professor at the University of Texas, Austin. He is one of the principals within the Center for Applied Social Research and the Center for Risk and Crisis Management, both at the University of Oklahoma. His work has appeared in the Policy Studies Journal and the Journal of Public Administration Research and Theory.