The DOI matches its Crossref record; 21 of the 21 references it cites were found in a registry or an index.
Principals, Bureaucrats, and Responsiveness in Clean Air Enforcements
Abstract
A principal-agent perspective has been employed in recent studies to rediscover the importance of democratic hierarchies in shaping public bureaucratic outputs. I test the robustness of the hierarchy model for explaining outputs from an agency that has often been cast in the image of bureaucratic independence, the Environmental Protection Agency. Examining the effect of the Reagan presidency on EPA outputs for clean air, Box-Tiao models are constructed to explain shifts in the vigor of air pollution enforcements between 1977 and 1985. The analysis shows that the influence of elected institutions is limited when an agency has substantial bureaucratic resources and a zeal for their use. Moreover, under these conditions, bureaucracy can even move outputs in directions completely opposite from what a model of hierarchy would predict. The implication is that for some agencies it is necessary to give greater consideration to the agent in explaining implementation outcomes through time.
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Schillemans, T., & Busuioc, M. (2015) · Journal of Public Administration Research and Theory · doi:10.1093/jopart/muu024 · Cited by 290
Political Control versus Bureaucratic Values: Reframing the Debate
Meier, K. J., & O'Toole, L. J. (2006) · Public Administration Review · doi:10.1111/j.1540-6210.2006.00571.x · Cited by 277
Creating a system for data-driven decision-making: applying the principal-agent framework
Wohlstetter, P., Datnow, A., & Park, V. (2008) · School Effectiveness and School Improvement · doi:10.1080/09243450802246376 · Cited by 248
Bureaucracy and Democracy: The Case for More Bureaucracy and Less Democracy
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Metadata
- Authors
- Wood, B. D.
- Venue
- American Political Science Review
- Publisher
- Cambridge University Press (CUP)
- Published
- 1988-03
- Volume
- 82
- Issue
- 1
- Pages
- 213-234
- ISSN
- 0003-0554 (ISSN-L)
- 1537-5943
- OpenAlex
- W2128003225
- Cited by
- 423
- References
- 21
- FWCI
- 25.46
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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