The DOI matches its OpenAlex record; 37 of the 37 references it cites were found in a registry or an index.
Regulatory Enforcement in a Federalist System
Abstract
Federal agencies integrate federal, state, and local political demands at the operational level of service delivery. They balance conflicting political demands and task requirements as they attempt to develop feasible enforcement routines capable of attracting support and resources in multiple arenas without undermining central support for budgetary resources and statutory authority. Our regression analysis of annual enforcement data from 1976 through 1983 for all 50 states indicates that even the relatively isolated enforcement procedures of the Occupational Safety and Health Administration respond significantly to state-level political and task differences. Enforcement activities responded most consistently to daily enforcement contacts with interest groups. State differences in task conditions—particularly workplace accident and unemployment rates—also elicited instrumental responses, while differences in the party and ideology of elected officials elicited more symbolic actions. State agencies, with their smaller size and greater flexibility, were even more responsive than the federal agency to political and task differences. This integrative function of bureaucracy needs further attention in democratic theory.
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Cites
Bureaucracy and Representative Government
Niskanen, W. A. (1971) · Medical Entomology and Zoology · Cited by 5,203
Elements of Econometrics: Second Edition
Kmenta, J. (1997) · University of Michigan Press eBooks · doi:10.3998/mpub.15701 · Cited by 3,221
Congressional Oversight Overlooked: Police Patrols versus Fire Alarms
McCubbins, M. D., & Schwartz, T. (1984) · American Journal of Political Science · doi:10.2307/2110792 · Cited by 2,936
The Political Economy of Federalism
Chubb, J. E. (1985) · American Political Science Review · doi:10.2307/1956245 · Cited by 1,444
Weingast, B. R., & Moran, M. J. (1983) · Journal of Political Economy · doi:10.1086/261181 · Cited by 1,431
Parks, R. W. (1967) · Journal of the American Statistical Association · doi:10.1080/01621459.1967.10482923 · Cited by 1,188
The Optimum Enforcement of Laws
Stigler, G. J. (1970) · Journal of Political Economy · doi:10.1086/259646 · Cited by 1,147
Bernstein, B. J., Allison, G., & Zelikow, P. (1999) · Foreign Policy · doi:10.2307/1149596 · Cited by 967
Regression in Space and Time: A Statistical Essay
Stimson, J. A. (1985) · American Journal of Political Science · doi:10.2307/2111187 · Cited by 886
Going by the Book, the Problem of Regulatory Unreasonableness
Wolman, M. G., Bardach, E., & Kagan, R. A. (1983) · Journal of Policy Analysis and Management · doi:10.2307/3324493 · Cited by 835
Cited by
What To Do (and Not to Do) with Time-Series Cross-Section Data
Beck, N., & Katz, J. N. (1995) · American Political Science Review · doi:10.2307/2082979 · Cited by 6,840
Measuring Citizen and Government Ideology in the American States, 1960-93
Berry, W. D., Ringquist, E. J., Fording, R. C., & Hanson, R. L. (1998) · American Journal of Political Science · doi:10.2307/2991759 · Cited by 1,592
Principals, Bureaucrats, and Responsiveness in Clean Air Enforcements
Wood, B. D. (1988) · American Political Science Review · doi:10.2307/1958066 · Cited by 423
Cooperative Regulatory Enforcement and the Politics of Administrative Effectiveness
Scholz, J. T. (1991) · American Political Science Review · doi:10.2307/1962881 · Cited by 296
Self-citationPolitical 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
Metadata
- Authors
- Scholz, J. T., & Wei, F. H.
- Venue
- American Political Science Review
- Publisher
- Cambridge University Press
- Published
- 1986-12-01
- Volume
- 80
- Issue
- 4
- Pages
- 1249-1270
- ISSN
- 0003-0554 (ISSN-L)
- OpenAlex
- W2061192503
- Cited by
- 277
- References
- 37
- FWCI
- 27.57
- 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).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.