The diagnostic water governance tool- supporting cross-sectoral cooperation and coordination in water resources management

Autor(en): Stein, Ulf
Bueb, Benedict
Knieper, Christian 
Troeltzsch, Jenny
Vidaurre, Rodrigo
Favero, Fausto
Stichwörter: CAPACITY; CHALLENGES; Cooperation; Coordination; Database; Environmental Sciences; Environmental Sciences & Ecology; FRAMEWORK; Governance; Integrated Water Resources Management; Online Tool
Erscheinungsdatum: 2023
Volumen: 140
Startseite: 111
Seitenende: 121
In the search for solutions for Integrated Water Resources Management (IWRM), decision-makers frequently face governance-related challenges such as the fragmentation of institutions, the interconnection with other essential services and overlapping competences. In many cases, solutions to these challenges involve strengthening co-ordination between different actors and sectors. Today different digital tools and resources are available to support related decision-making processes. These tools can (1) offer a context-specific assessment of the water governance system (''Diagnosis'') and (2) provide, in some cases, context-specific recommendations to tackle identified deficits (''Therapy''). In this paper, we aim to advance the understanding of the potential of digital tools for water governance and management assessments. After reviewing relevant tools, we introduce the Diagnostic Water Governance Tool (DWGT) that builds on a clear diagnosis-therapy-logic. After presenting the empirical basis and functional logic of the DWGT, we test the DWGT in two case studies: the Guadalquivir river basin in Spain and the Emscher river basin in Germany. We find that the DWGT provides context-specific, evidence-based instrument recommendations that can enhance water governance and management, albeit accompanying suit-ability evaluations by governance experts remain critical. We conclude by discussing the limitations of digital tools for water governance and management assessments and sketch out fields of future research.
ISSN: 1462-9011
DOI: 10.1016/j.envsci.2022.11.014

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