Eisenack, Klaus, Epstein, Graham, Finzel, Lydia, Kellner, Elke, Nagel, Ben ORCID: https://orcid.org/0000-0002-8227-2733, Partelow, Stefan, Roggero, Matteo and Villamayor‐Tomas, Sergio (2025) Synthesizing Archetypes of Social‐Ecological Systems: Identifying Common Building Blocks. Environmental Policy and Governance . DOI https://doi.org/10.1002/eet.70006.

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Abstract

A growing number of studies apply the social-ecological systems (SES) framework with its standardized set of variables to examine place-based environmental governance. Yet, due to the wide diversity of social-ecological systems, a general theory about how variables interact—and systems can be governed—lacks empirical support. Despite many case studies, knowledge cumulation is hindered by data heterogeneity, and by the difficulties with synthesizing a large number of cases into middle-range theories, possibly understood as re-occurring patterns of the larger theoretical puzzle of environmental governance. Thus, this paper aims to cumulate knowledge by identifying repeating configurations of variables across 71 models from SES framework case studies using archetype analysis. We propose a building-blocks approach to identify eight archetypes, each characterized by a triad (presence of three variables), an explanation of this triad, and a qualitative characterization with cases which exemplify them. The triads relate to, for example: shared operational agency; small households in remote, inaccessible places; property and accountability; or formal investment conditions. We show how a relatively small set of triads can be combined in various ways to represent a larger diversity of SES, and illustrate this by re-visiting several cases. We argue that identifying these recurring archetypes advances the field because it allows scholars to focus their theorizing and empirical research around a known set of triads. More broadly, the paper contributes to advancing empirically supported claims about SES and environmental governance, new uses of the SES framework, and techniques for knowledge cumulation using archetype analysis.

Document Type:	Article
Programme Area:	PA Not Applicable
Research affiliation:	Social Sciences > Institutional and Behavioural Economics
Refereed:	Yes
Open Access Journal?:	Yes
DOI:	https://doi.org/10.1002/eet.70006
ISSN:	1756-932X
Date Deposited:	30 Jul 2025 15:11
Last Modified:	30 Jul 2025 15:11
URI:	http://cris.leibniz-zmt.de/id/eprint/5690

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