A framework for evaluating flood risk governance
Article
Alexander, M., Priest, S. and Mees, H. 2016. A framework for evaluating flood risk governance. Environmental Science & Policy. 64, pp. 38-47. https://doi.org/10.1016/j.envsci.2016.06.004
Type | Article |
---|---|
Title | A framework for evaluating flood risk governance |
Authors | Alexander, M., Priest, S. and Mees, H. |
Abstract | Calls to strengthen flood risk governance are echoed across Europe amidst a growing consensus that floods will increase in the future. Accompanying the pursuit of societal resilience, other normative agendas relating legitimacy (e.g. accountability and public participation), and resource efficiency, have become attached to discussions concerning flood risk governance. Whilst these represent goals against which ‘success’ is socially and politically judged, lacking from the literature is a coherent framework to operationalise these concepts and evaluate the degree to which these are achieved. Drawing from cross-disciplinary and cross-country research conducted within the EU project STAR-FLOOD, this paper presents a framework for evaluating the extent to which flood risk governance arrangements support societal resilience, and demonstrate efficiency and legitimacy. Through empirical research in England, this paper critically reflects on the value of this approach in terms of identifying entry points to strengthen governance in the pursuit of these goals. |
Research Group | Flood Hazard Research Centre |
Publisher | Elsevier |
Journal | Environmental Science & Policy |
ISSN | 1462-9011 |
Electronic | 1873-6416 |
Publication dates | |
Online | 22 Jun 2016 |
01 Oct 2016 | |
Publication process dates | |
Deposited | 17 Jun 2016 |
Accepted | 08 Jun 2016 |
Output status | Published |
Accepted author manuscript | License |
Copyright Statement | © 2016. This author's accepted manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/ |
Additional information | Available online 22 June 2016 |
Digital Object Identifier (DOI) | https://doi.org/10.1016/j.envsci.2016.06.004 |
Language | English |
https://repository.mdx.ac.uk/item/8675v
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