Sustainably managing freshwater resources
In: Ecology and society: E&S ; a journal of integrative science for resilience and sustainability, Band 23, Heft 2
ISSN: 1708-3087
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In: Ecology and society: E&S ; a journal of integrative science for resilience and sustainability, Band 23, Heft 2
ISSN: 1708-3087
In: Protecting the Environment, Privately, S. 335-355
In: Environmental and resource economics, Band 69, Heft 4, S. 763-785
ISSN: 1573-1502
In: Australian Journal of Agricultural and Resource Economics, Band 58, Heft 2, S. 281-290
SSRN
In: Ecology and society: E&S ; a journal of integrative science for resilience and sustainability, Band 22, Heft 2
ISSN: 1708-3087
In: Ecology and society: E&S ; a journal of integrative science for resilience and sustainability, Band 22, Heft 2
ISSN: 1708-3087
In: Land use policy: the international journal covering all aspects of land use, Band 58, S. 241-250
ISSN: 0264-8377
In: Society and natural resources, Band 29, Heft 11, S. 1359-1374
ISSN: 1521-0723
In: Marine policy, Band 117, S. 103950
ISSN: 0308-597X
Governments around the world are seeking to slow the spread of Covid-19 by implementing measures that encourage, or mandate, changes in people's behaviour. These changes include the wearing of face masks, social distancing, and testing and self-isolating when unwell. The success of these measures depends on the commitment of individuals to change their behaviour accordingly. Understanding and predicting the motivation of individuals to change their behaviour is therefore critical in assessing the likely effectiveness of these measures in slowing the spread of the virus. In this paper we draw on a novel framework, the I3 Compliance Response Framework, to understand and predict the motivation of residents in Auckland, New Zealand, to comply with measures to prevent the spread of Covid-19. The Framework is based on two concepts. The first uses the involvement construct to predict the motivation of individuals to comply. The second separates the influence of the policy measure from the influence of the policy outcome on the motivation of individuals to comply. In short, the Framework differentiates between the strength of individuals' motivation and their beliefs about the advantages and disadvantages of policy outcomes and policy measures. We found this differentiation was useful in predicting an individual's possible behavioural responses to a measure and discuss how it could assist government agencies to develop strategies to enhance compliance.
BASE
Governments around the world are seeking to slow the spread of Covid-19 and reduce hospitalisations by encouraging mass vaccinations for Covid-19. The success of this policy depends on most of the population accepting the vaccine and then being vaccinated. Under standing and predicting the motivation of individuals to be vaccinated is, therefore, critical in assessing the likely effectiveness of a mass vaccination programme in slowing the spread of the virus. In this paper we draw on the I3 Response Framework to understand and predict the willingness of New Zealanders to be vaccinated for Covid-19. The Framework differs from most studies predicting willingness to be vaccinated because it is based on the idea that the willingness to adopt a behaviour depends on both involvement (a measure of motivational strength) with the behaviour and attitudes towards the behaviour. We show that predictions of individuals' willingness to be vaccinated are improved using involvement and attitudes together, compared to attitudes alone. This result has important implications for the implementation of mass vaccination programmes for Covid-19.
BASE
In: Ecology and society: E&S ; a journal of integrative science for resilience and sustainability, Band 25, Heft 4
ISSN: 1708-3087
In: Ecology and society: E&S ; a journal of integrative science for resilience and sustainability, Band 22, Heft 1
ISSN: 1708-3087
In: Research report 314
SSRN
Working paper