Integrating social learning into climate change adaptation public policy cycle: Building upon from experiences in Brazil and the United Kingdom

Resource type
Journal Article
Authors/contributors
Title
Integrating social learning into climate change adaptation public policy cycle: Building upon from experiences in Brazil and the United Kingdom
Abstract
This paper outlines good practices and serves as a guide to promote Social Learning in the elaboration and implementation processes of public policies for climate change adaptation at a local level. It is based on a multiple-case study covering 18 experiences from the United Kingdom and Brazil, an analysis of existing research about the contributions of Social Learning to socioenvironmental governance and public policies regarding wicked problems, as well as, empirical information collected during workshops held as part of the development of the AdaptaClima Platform. From the literature review, key aspects of Social Learning were identified, such as active participation; co-production of knowledge and development of capacities; iterative reflection and action. These were compared with four phases of the adaptation to climate change public policy implementation cycle [i) preparation and engagement; ii) analysis of impacts and vulnerabilities; iii) planning; iv) implementation and monitoring] and used to analyse the empirical information gathered. The results bring practical examples of how to include key Social Learning aspects in each phase. The findings may apply to different contexts, but are especially useful to developing countries.
Publication
Environmental Development
Volume
33
Pages
100486-100486
Date
2020-03-01
ISSN
2211-4645
Call Number
openalex: W2993994191
Extra
openalex: W2993994191 mag: 2993994191
Citation
Nicolletti, M., Maschietto, F., & Moreno, T. (2020). Integrating social learning into climate change adaptation public policy cycle: Building upon from experiences in Brazil and the United Kingdom. Environmental Development, 33, 100486–100486. https://doi.org/10.1016/j.envdev.2019.100486