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Collaborative Networks for Effective Ecosystem-Based Management: A Set of Working Hypotheses
Stockholm University, Stockholm Resilience Centre, Stockholm University.
Luleå tekniska universitet, Institutionen för ekonomi, teknik och samhälle, Samhällsvetenskap.ORCID-id: 0000-0002-1685-5527
Stockholm University, Stockholm University, Stockholm Resilience Centre.
Rekke forfattare: 32017 (engelsk)Inngår i: Policy Studies Journal, ISSN 0190-292X, E-ISSN 1541-0072, Vol. 45, nr 2, s. 289-314Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

Ecosystem-based management (EBM) represents a comprehensive approach to better govern the environment that also illustrates the collaborative trend in policy and public administration. The need for stakeholder involvement and collaboration is strongly articulated, yet how and for what purposes collaboration would be effective remains largely untested. We address this gap by developing and evaluating a set of hypotheses specifying how certain patterns of collaborations among actors affect their joint ability to accomplish EBM. Content analyses of management plans drawn from five EBM planning processes in Sweden are combined with analyses of the collaborative networks through which these plans have been developed. Our results indicate that system thinking and the ability to integrate across different management phases are favored by collaborations between different kinds of actors, and by project leaders being centrally located in the networks. We also find that dense substructures of collaboration increase the level of specificity in the plans in regards to explicating constraints on human activities. Having many collaborative ties does however not enhance the overall level of specificity. Our results also show that different network characteristics can give rise to similar EBM outcomes. This observed equifinality suggests there is no single blueprint for well-performing collaborative networks. 

sted, utgiver, år, opplag, sider
John Wiley & Sons, 2017. Vol. 45, nr 2, s. 289-314
HSV kategori
Forskningsprogram
Statsvetenskap
Identifikatorer
URN: urn:nbn:se:ltu:diva-6651DOI: 10.1111/psj.12146ISI: 000401553700004Scopus ID: 2-s2.0-84955293406Lokal ID: 4e56db95-bf17-4d0b-868d-551a4dbf1092OAI: oai:DiVA.org:ltu-6651DiVA, id: diva2:979537
Merknad

Validerad;2017;Nivå 2;2017-06-02 (andbra)

Tilgjengelig fra: 2016-09-29 Laget: 2016-09-29 Sist oppdatert: 2018-07-10bibliografisk kontrollert

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