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Explore the transition from state-centric governance to transnationalized governance frameworks. This analysis focuses on transnational advocacy networks (TANs) and their role in shaping international relations and civil society. It highlights effective network strategies and conditions that promote change, including the "boomerang" and "spiral" models of advocacy. The discussion addresses challenges faced by networks, the importance of institutional structures, and the impact of democratic opportunities on advocacy success. Gain insights into how networks navigate power imbalances and utilize information politics to influence global agendas.
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State-Centric Perspective State I State II Society I Society II
Simple Transnationalism State I State II Society I Society II
Complex Transnationalism Intl Organizations State I State II Society I Society II
Manifestations of New Governance • Transnational advocacy networks (TANs) • International/global/world civil society • Intergovernmental institutions and organizations • WTO, NAFTA • WB, IMF • UN • New forms of regulation
Transnational Governance and Networks • How are networks organized? • What are effective strategies and tactics? • Under what conditions are they successful?
Networks • National • International • Transnational advocacy networks • What are networks? • Voluntary, reciprocal patterns of communication and exchange • Fluid and open relationships among committed actors working in an issue area
Effective Network Structure • Organizationally dense • Linked by strong bridging organizations and shared values • Participatory and mutually accountable • Non-bureaucratic • Driven by strong domestic actors, especially grassroots
Effective Models for Change • “Boomerang” model of change • When domestic actors blocked • Transnational actors apply pressure • “Spiral” model of change & norm adoption • 1) State repression – activists put issue on intl agenda. States deny norms • 2) States make some concessions under pressure • Opens up domestic space • 3) Norms achieve proscriptive status OR states increase repression
Effective Network Strategies • Employ a range of tactics • Operate at multiple levels across numerous countries • Wield scientific knowledge • Are linked with scientific groups • Promote democratization (?)
Effective Network Action • Issues promote the public interest rather than advancing private interests • Norm promotion or creation is aligned with domestic and international environments • Monitoring and support of norm implementation is prioritized
Supportive Conditions for Change • Democratic opportunity structures • Elite allies inside powerful agencies • Windows of opportunity
Challenges for Transnational Networks • Diverse member goals • Power imbalances • Secretive or opaque communication • Loose affiliations, far flung • Lack of clear goals or activities
What are the tactics? • Information politics • Create politically usable information • Symbolic politics • Create symbols that draw people in • Leverage politics • Use material (economics) or moral (shame) leverage • Accountability politics • Hold powerful actors to previous statements
When are advocacy networks most successful? • Issue characteristics • Have moral salience • Have a causal story • Involve clear harm to people • Involve equality of opportunity • Actor characteristics • Dense network with many overlapping ties • Targeted actors are vulnerable to activist incentives or sanctions
North and Institutions • Institutions: incentive structure of society • Institutions: ‘rules of the game’ • Organizations: “the teams”
Institutions as Constraints • Reduce ‘transactions costs’ by reducing uncertainty about outcomes • Less than idea but stable institutions might support growth and development • Formal constraints: • Rules, laws, constitutions • Informal constraints • Norms, conventions, self-imposed codes of conduct
How do institutions change? • People’s mental models and categories affect how they define problems and see the world • ‘culture’ • Change occurs: • With shocks or unexpected events • With large scale historical trends like current wave of global integration • But typically quite slowly – mental models are slow to change