Global Forest Governance and Climate Change

Interrogating Representation, Participation, and Decentralization

Nonfiction, Social & Cultural Studies, Political Science, Government, Public Policy, Social Science
Cover of the book Global Forest Governance and Climate Change by , Springer International Publishing
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: ISBN: 9783319719467
Publisher: Springer International Publishing Publication: March 7, 2018
Imprint: Palgrave Macmillan Language: English
Author:
ISBN: 9783319719467
Publisher: Springer International Publishing
Publication: March 7, 2018
Imprint: Palgrave Macmillan
Language: English

This edited collection assesses governance in forestry programmes and projects, including REDD+ governance. It examines political representation, participation and decentralisation in forest governance, providing insight as to how forest governance arrangements can be responsive to the socio-economic interests of local people and communities who live adjacent to and depend on forests.

Global Forest Governance and Climate Change argues that inclusive complementary representation of local communities is required for strong participatory processes and democratic decentralisation of forest governance. Responsiveness to local people’s socio-economic interests in forestry initiatives require paying attention to not just the hosting of participatory meetings and activities, but also to the full cast of appointed, self-authorized, and elected representative agents that stand, speak, and act for local people.

This book will be of interest to students and academics across the fields of climate change governance, forestry, development studies, and political economy. It will also be a useful resource for policy makers and practitioners responsible for forestry and climate change initiatives.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

This edited collection assesses governance in forestry programmes and projects, including REDD+ governance. It examines political representation, participation and decentralisation in forest governance, providing insight as to how forest governance arrangements can be responsive to the socio-economic interests of local people and communities who live adjacent to and depend on forests.

Global Forest Governance and Climate Change argues that inclusive complementary representation of local communities is required for strong participatory processes and democratic decentralisation of forest governance. Responsiveness to local people’s socio-economic interests in forestry initiatives require paying attention to not just the hosting of participatory meetings and activities, but also to the full cast of appointed, self-authorized, and elected representative agents that stand, speak, and act for local people.

This book will be of interest to students and academics across the fields of climate change governance, forestry, development studies, and political economy. It will also be a useful resource for policy makers and practitioners responsible for forestry and climate change initiatives.

More books from Springer International Publishing

Cover of the book Fundamentals of Stochastic Nature Sciences by
Cover of the book Glaciation and Speleogenesis by
Cover of the book Regional Research Frontiers - Vol. 1 by
Cover of the book Models of Thermochemical Heat Storage by
Cover of the book On the Ethical Imperatives of the Interregnum by
Cover of the book Advances in Visual Informatics by
Cover of the book Information Retrieval Technology by
Cover of the book Impacts of Medications on Male Fertility by
Cover of the book Retail Crime by
Cover of the book Graphene Oxide in Environmental Remediation Process by
Cover of the book Ionization and Plasma Dynamics of Single Large Xenon Clusters in Superintense XUV Pulses by
Cover of the book Internet Addiction by
Cover of the book Recombinant Ecology - A Hybrid Future? by
Cover of the book Curating the Digital by
Cover of the book Artificial Neural Network Modelling by
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy