Self‐Organizing Policy Networks
Risk, Partner Selection, and Cooperation in Estuaries
Bibliographic Data
| ID | 6231387 |
|---|---|
| Authors | Ramiro Berardo (0000-0003-2314-5053, University of Arizona), John T Scholz (Florida State University) |
| Year | 2010 |
| Volume | 54 |
| Issue | 3 |
| Pages | 632-649 |
| Publication date | 2010-07-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | American Journal of Political Science (JOURNAL) |
| Journal identifiers | ISSN: 0092-5853 • E-ISSN: 1540-5907 |
| Publisher | Wiley (PUBLISHER • GB) |
| DOI | 10.1111/j.1540-5907.2010.00451.x |
| OpenAlex | W1673782692 |
| Language | EN |
| Citations received | 297 |
| References cited | 40 |
Policy actors seek network contacts to improve individual payoffs in the institutional collective action dilemmas endemic to fragmented policy arenas. The risk hypothesis argues that actors seek bridging relationships (well‐connected, popular partners that maximize their access to information) when cooperation involves low risks, but seek bonding relationships (transitive, reciprocal relationships that maximize credibility) when risks of defection increase. We test this hypothesis in newly developing policy arenas expected to favor relationships that resolve low‐risk dilemmas. A stochastic actor‐based model for network evolution estimated with survey data from 1999 and 2001 in 10 U.S. estuaries finds that actors do tend to select popular actors as partners, which presumably creates a centralized bridging structure capable of efficient information transmission for coordinating policies even without any government mandate. Actors also seek reciprocal bonding relationships supportive of small joint projects and quickly learn whether or not to trust their partners
Action (physics · Bridging (networking · Business · Collective action · Computer security · Consistency (knowledge bases · Credibility · Deliberation · Government (linguistics · Mandate · Political science · Public relations · Reciprocal · Transitive relation · Computer Science · Local Government Finance and Decentralization · Public Policy and Administration Research · Social Capital and Networks
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| Unique citing works | 297 |
|---|---|
| Citations per year | 16,5 |
| Citation span | 2008 - 2026 (19) |
| Citation velocity | current |
| Highly cited | Yes |
| Citation types | Neutral: 270 |