As the crow flies
Tracking Policy Diffusion Through Stakeholder Networks
Datos Bibliográficos
| ID | 6296232 |
|---|---|
| Autores | Evan M Mistur (0000-0003-4261-2032, The University of Texas at Arlington, autor de correspondencia), Daniel C Matisoff (0000-0003-4575-5282, Georgia Institute of Technology) |
| Año | 2024 |
| Volumen | 44 |
| Número | 1 |
| Páginas | 67-92 |
| Fecha de publicación | 2024-03-01 |
| Peer Reviewed | Sí |
| Open Access | Sí |
| Tipo | ARTICLE |
| Revista | Journal of Public Policy (JOURNAL) |
| Identificadores de la revista | ISSN: 0143-814X • E-ISSN: 1469-7815 |
| Editorial | Cambridge University Press (CUP) (PUBLISHER) |
| DOI | 10.1017/s0143814x23000302 |
| OpenAlex | W4387311324 |
| Idioma | EN |
| Citas recibidas | 2 |
| Referencias citadas | 94 |
Policy diffusion is an important element of the policy formation process. However, understanding of the micro-level interactions governing policy spread remains limited. Much of the literature focuses on macro-level proxies for intergovernmental connectivity. These proxies outline broad diffusion patterns without specifying the micro-level mechanisms that govern how individuals facilitate that diffusion. The role of stakeholders in diffusion in the policy subsystem is also poorly understood. We construct a panel dataset covering the spread of the US ecotourism programs from 1993 to 2016 to investigate how micro-level movement within stakeholder networks explains state-level policy diffusion over time. Using fixed-effects regression, we find that stakeholder movement significantly drives diffusion, acting as a mechanism of knowledge transfer. Our findings provide a more precise theoretical understanding of how policy knowledge diffuses at the micro level, empirically explain the role of policy stakeholders in diffusion, and highlight the value of citizen-science data for policy research
Business · Construct (python library · Diffusion · Political science · Public relations · Stakeholder · Value (mathematics · Computer Science · Policy Transfer and Learning · Political Influence and Corporate Strategies · Public Policy and Administration Research
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| Obras citantes distintas | 2 |
|---|---|
| Citas por año | 2 |
| Intervalo de citas | 2025 - 2026 (2) |
| Velocidad de citación | current |
| Altamente citado | No |
| Tipos de cita | Neutras: 2 |