Abstract
This article introduces the Social-ecological systems meta-analysis database (SESMAD) project, which is the project behind the case studies and synthetic articles contained in this special issue of the <span class="italic">International Journal of the Commons</span>. SESMAD is an internationally collaborative meta-analysis project that builds on previous seminally synthetic work on small-scale common-pool resource systems conducted at the Workshop in Political Theory and Policy Analysis at Indiana University. This project is guided by the following research question: can the variables found to be important in explaining outcomes on small-scale systems be scaled up to explain outcomes in large-scale environmental governance? In this special issue we report on our findings thus far through a set of case studies of large-scale environmental governance, a paper that describes our conceptual advances, and a paper that compares these five case studies to further examine our central research question.
Highlights
Large-scale environmental problems are arguably the most difficult to address due to the number of actors and the complexity of social-ecological interactions involved
This article introduces the Social-ecological systems meta-analysis database (SESMAD) project, which is the project behind the case studies and synthetic articles contained in this special issue of the International Journal of the Commons
This project is guided by the following research question: can the variables found to be important in explaining outcomes on small-scale systems be scaled up to explain outcomes in large-scale environmental governance? In this special issue we report on our findings far through a set of case studies of large-scale environmental governance, a paper that describes our conceptual advances, and a paper that compares these five case studies to further examine our central research question
Summary
It presents a set of case studies of large-scale environmental management that employ the same methodology in arriving at their findings It moves forward with a larger research project known as the Social-ecological system meta-analysis database (SESMAD) Project, of which these cases are a part. SESMAD is a new meta-analysis research project oriented towards large-scale systems, and the case studies presented in this special issue will eventually become part of a database containing many consistently coded cases of large-scale environmental governance spanning a range of regions and resource systems. This SESMAD project is unique in several respects. This severely limits the comparability of such studies, in the sense that conceptual validity is too low to enable inter-case comparison and produce a better understanding of the importance of particular variables across cases
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