Chaired by Dr Sabaheta Ramcilovik-Suominen (University of Eastern Finland; firstname.lastname@example.org). Commentator: Prof Maria Brockhaus (University of Helsinki)
This WG is aimed at scholars and students studying the implementation of global environmental governance agreements, including but not limited to those focusing on forests and climate. The WG theme is relevant to scholars of both, contemporary, as well as newly emerging environmental policy and governance initiatives, such as Bioeconomy and Zero deforestation.
This WG invites theoretical, empirical and review papers that reflect on the current and future global and environmental politics and governance. The emphasis is on negotiation and implementation of global, multilateral and bilateral environmental agreements and initiatives, at different levels of governance – from village to global and vice versa. Research questions of interest include:
- How local, subnational and national level actors use and navigate the policy space created by the global environmental governance goals and initiatives to pursue their own agendas and interests?
- How the key ideas and discourses framed at the global level change in this process of policy translation, and what key actors influence and shape this change?
- What kind of institutions, practices and discourses emerge at the sub-national and local level, under the umbrella of various global environmental agreements and initiatives?
- How these institutions, practices and discourses that emerge at sub-national and local levels in turn feed back to the global environmental agreements in question? In other words:
- How they influence the original global environmental processes, and shape the way forward and beyond these environmental processes?
Relevant theoretical and conceptual frameworks typically used to approach and analyses these questions include, but are not limited to: actor-network theory (ANT), critical institutionalism and institutional bricolage, as well as the concepts of policy translation, co-production and policy learning.