Multi-level learning in the governance of adaptation to climate change

Summary

My PhD thesis examines the factors, processes, and outcomes of multi-level learning within the framework of multi-level governance of adaptation to climate change, focusing specifically on the Latin American context. The research delves into how different governance levels—local, regional, national, and international—interact and learn from each other to enhance climate adaptation strategies. By exploring case studies across Latin America, the thesis identifies key drivers of effective multi-level learning, such as policy integration, stakeholder engagement, and knowledge sharing mechanisms. It also highlights the role of institutional frameworks and socio-political contexts in shaping learning processes. The outcomes of this multi-level learning include improved understanding and policy coherence across at various governance levels, fostering a more coordinated and coherent approach to climate adaptation. This study contributes to the understanding of how multi-level governance can facilitate sustainable and inclusive climate adaptation in developing regions.