Information exchange in governance networks-Who brokers across political divides?

• 成果类型: Article
• 署名作者: Angst, Mario; Brandenberger, Laurence
• 署名单位: Swiss Federal Institutes of Technology Domain; Swiss Federal Institute of Aquatic Science & Technology (EAWAG); Swiss Federal Institutes of Technology Domain; ETH Zurich
• 刊物名称: GOVERNANCE-AN INTERNATIONAL JOURNAL OF POLICY ADMINISTRATION AND INSTITUTIONS
• ISSN/ISSBN: 0952-1895
• DOI: 10.1111/gove.12601
• 发表日期: 2022
• 关键词: Causal Inference; POLICY; determinants; adversarial; complexity; coalitions; drivers; science; context; systems

摘要

The exchange of information among organizations is the lifeblood of governance networks. It is a necessary condition for successful governance. Political divides between organizations often impede information exchange. We ask which organizations are most likely to broker information across political divides. We consider survey (n = 312) evidence of technical information exchange in Swiss water governance. Bayesian exponential random graph modeling results show that scientific organizations play crucial roles for cross-divide brokerage. To a lesser extent, this also holds for higher-level governmental agencies. Participation in policy forums is associated with a higher likelihood of brokering across political divides. There is however no clear benefit to participating in more than two or three forums. We conclude that an active role played by scientific organizations is the most promising avenue to increase information flow across political divides. Beyond this, we suggest setting up carefully constructed exchange forums and selectively engaging moderate members of subgroups.