Measuring Social Learning in Participatory Approaches to Natural Resource Management
ABSTRACT The role of social learning as a governance mechanism in natural resource management has been frequently highlighted, but progress in finding evidence for this role and gaining insight into the conditions that promote it are hampered by the lack of operational definitions of social learning...
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Published in: | Environmental policy and governance Vol. 24; no. 1; pp. 1 - 15 |
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Main Authors: | , , , , , |
Format: | Journal Article |
Language: | English |
Published: |
Blackwell Publishing Ltd
01-01-2014
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Subjects: | |
Online Access: | Get full text |
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Summary: | ABSTRACT
The role of social learning as a governance mechanism in natural resource management has been frequently highlighted, but progress in finding evidence for this role and gaining insight into the conditions that promote it are hampered by the lack of operational definitions of social learning and practical methods to measure it. In this article, we present a simple and flexible method to measure social learning, whether it has occurred and to what extent, among stakeholders in natural resource management. The method yields measurements of social learning that are visual, quantitative and qualitative. First, we elaborate our definition of social learning as a convergence of perspectives and outline how stakeholder perspectives in natural resource management can be described with Cultural Theory. Next, we provide a generic description of the method, followed by two examples illustrating its application to the domains of water and land management. Finally, we discuss relative strengths and weaknesses of the method and how it could be applied to improve our understanding of factors that contribute to social learning. Copyright © 2013 John Wiley & Sons, Ltd and ERP Environment |
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Bibliography: | ark:/67375/WNG-M8TDT2J5-9 istex:9F8C8B870F8215A1BCCCF19CE354051CF64E3AFF ArticleID:EET1627 ObjectType-Article-2 SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 23 |
ISSN: | 1756-932X 1756-9338 |
DOI: | 10.1002/eet.1627 |