State Administrator Perceptions of the Policy Influence of Other Actors
Is Less Better
Bibliographic Data
| ID | 6364933 |
|---|---|
| Authors | Cheryl M Miller (corresponding author) |
| Year | 1987 |
| Volume | 47 |
| Issue | 3 |
| Pages | 239-239 |
| Publication date | 1987-05-01 |
| Open Access | No |
| Type | ARTICLE |
| Venue | Public Administration Review (JOURNAL) |
| Journal identifiers | ISSN: 0033-3352 • E-ISSN: 1540-6210 |
| Publisher | Wiley (PUBLISHER • GB) |
| DOI | 10.2307/975902 |
| OpenAlex | W2321105701 |
| Language | EN |
| Citations received | 13 |
The portrayal of bureaucrats as policy aggrandizers who seek to influence public policy at the expense of other actors is prevalent in the public administration literature. This article, focused at the state level, investigates the perceptions of one group of administrators about the influence matrix of agency policy decisions. It addresses several questions. Do administrators want more influence for themselves? Do they want more or less influence for other agency and external-agency actors? Is the influence matrix best described in zerosum terms? Finally, the article discusses the implications of empirical findings which suggest that administrators may want more policy participation by other actors than is commonly assumed
Perception · Political science · State (computer science · Computer Science · Policy Transfer and Learning · Psychology · Public Administration · Public Policy and Administration Research
Government Productivity, Effectiveness, and Public Policy
Public Administration Education and Formal Administrative Position
Strategies for Measuring Influence over State Agencies
The Role of the Public Manager
Top Bureaucrats and the Distribution of Influence in Reagan's Executive Branch
Revisiting Administrative Reform in the American States
The “Revolt in Dullsville” Revisited
Status and Power
Continuity and Change in Executive Leadership
Change and Continuity in State Administration
Public Policy and Intergovernmental Relations
Governors and Policymaking
Bayesian Analytical Methods
| Citations per year | 0.34 |
|---|---|
| Citation span | 1988 - 2014 (27) |
| Highly cited | No |