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Responsive regulation: transcending the deregulation debate
Abstract
This book transcends current debate on government regulation by lucidly outlining how regulations can be a fruitful combination of persuasion and sanctions. The regulation of business by the United States government is often ineffective despite being more adversarial in tone than in other nations. The authors draw on both empirical studies of regulation from around the world and modern game theory to illustrate innovative solutions to this problem. Their ideas include an argument for the empowerment of private and public interest groups in the regulatory process and a provocative discussion of how the government can support and encourage industry self-regulation.
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Citations
Cited by
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Procedural Justice, Legitimacy, and the Effective Rule of Law
Tyler, T. R. (2003) · Crime and Justice · doi:10.1086/652233 · Cited by 1,432
The Economic Psychology of Tax Behaviour
Kirchler, E., & Braithwaite, V. (2007) · Cambridge University Press eBooks · doi:10.1017/cbo9780511628238 · Cited by 1,206
Algorithmic regulation: A critical interrogation
Yeung, K. (2018) · Regulation & Governance · doi:10.1111/rego.12158 · Cited by 842
Full Disclosure: The Perils and Promise of Transparency
Fung, A., Graham, M., & Weil, D. (2007) · doi:10.1017/cbo9780511510533 · Cited by 752
Metadata
- Venue
- Choice Reviews Online
- Publisher
- American Library Association
- Published
- 1992-10-01
- Volume
- 30
- Issue
- 02
- Pages
- 30-1033-30-1033
- ISSN
- 0009-4978 (ISSN-L)
- 1523-8253
- OpenAlex
- W3021080613
- Cited by
- 1,726
- References
- 0
- Type
- book review
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Responsive regulation: transcending the deregulation debate. https://app.cochat.ai/papers/10.5860/choice.30-1033
- The paper
- Responsive regulation: transcending the deregulation debate. (1992). Choice Reviews Online. https://doi.org/10.5860/choice.30-1033
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.