The Impact-Likelihood Matrix: A policy tool for behaviour prioritisation
Sarah Kneebone,
Liam Smith and
Kelly Fielding
Environmental Science & Policy, 2017, vol. 70, issue C, 9-20
Abstract:
The proliferation of applied behaviour change science over the past decade has provided new ways of thinking about policy making. Policy makers now have a range of frameworks and methods to assist in formulating change for social and environmental benefits. However, the development of strategies for the identification and prioritisation of target behaviours has been less forthcoming. This paper outlines a tool to assist in behaviour selection. Behaviours are assessed for their potential impact on addressing a specific issue, the likelihood of adoption by the target audience and existing participation levels within the target audience. Each of these characteristics is scored, allowing behaviours to be mapped onto a meaningful, visual, matrix for prioritisation. Additional data on behaviour type and the key perceived barriers to participation in each behaviour are layered onto the matrix to provide direction for intervention design. An application of the prioritisation matrix is presented within an environmental context through a case study of water demand management behaviours for domestic consumers in Australia. The prioritisation matrix could provide a decision-making tool for policy makers to assist in the selection of target behaviours to address complex issues.
Keywords: Behaviour change; Behaviour prioritisation; Impact-Likelihood Matrix; Policy tool; Water demand management; Intervention design (search for similar items in EconPapers)
Date: 2017
References: Add references at CitEc
Citations:
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S1462901116303744
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:enscpo:v:70:y:2017:i:c:p:9-20
DOI: 10.1016/j.envsci.2016.11.013
Access Statistics for this article
Environmental Science & Policy is currently edited by M. Beniston
More articles in Environmental Science & Policy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().