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1.
UCL Open Environ ; 4: e032, 2022.
Article in English | MEDLINE | ID: mdl-37228472

ABSTRACT

Human behaviour change is necessary to meet targets set by the Paris Agreement to mitigate climate change. Restrictions and regulations put in place globally to mitigate the spread of COVID-19 during 2020 have had a substantial impact on everyday life, including many carbon-intensive behaviours such as transportation. Changes to transportation behaviour may reduce carbon emissions. Behaviour change theory can offer perspective on the drivers and influences of behaviour and shape recommendations for how policy-makers can capitalise on any observed behaviour changes that may mitigate climate change. For this commentary, we aimed to describe changes in data relating to transportation behaviours concerning working from home during the COVID-19 pandemic across the Netherlands, Sweden and the UK. We display these identified changes in a concept map, suggesting links between the changes in behaviour and levels of carbon emissions. We consider these changes in relation to a comprehensive and easy to understand model of behaviour, the Opportunity, Motivation Behaviour (COM-B) model, to understand the capabilities, opportunities and behaviours related to the observed behaviour changes and potential policy to mitigate climate change. There is now an opportunity for policy-makers to increase the likelihood of maintaining pro-environmental behaviour changes by providing opportunities, improving capabilities and maintaining motivation for these behaviours.

2.
Risk Anal ; 27(3): 729-40, 2007 Jun.
Article in English | MEDLINE | ID: mdl-17640219

ABSTRACT

Understanding of the determinants of consumer confidence in the safety of food is important if effective risk management and communication are to be developed. In the research reported here, we attempt to understand the roles of consumer trust in actors in the food chain and regulators, consumer recall of food safety incidents, consumer perceptions regarding the safety of particular product groups, personality characteristics, and sociodemographics, as potential determinants of consumer confidence in the safety of food. Consumer confidence in the safety of food was conceptualized as consisting of two distinct dimensions, namely, "optimism" and "pessimism." On the basis of a representative sample of 657 Dutch consumers, structural equation modeling was applied to simultaneously estimate the effect of the determinants on both "optimism" and "pessimism." The results indicated that, to a considerable extent, both optimism and pessimism about the safety of food arise from consumer trust in regulators and actors in the food chain and the perceived safety of meat and fish rather than other product categories. In addition, support was found for the notion that optimism and pessimism are conceptually distinct, as these dimensions of confidence were partly influenced by different determinants. The results of this study imply that consumer confidence in the safety of food could be enhanced by improving both consumer trust in societal actors, and consumer safety perceptions of particular product groups.


Subject(s)
Food , Adolescent , Adult , Aged , Community Participation , Female , Food/adverse effects , Food Contamination , Humans , Male , Middle Aged , Models, Statistical , Netherlands , Risk , Safety
3.
Appetite ; 47(3): 343-51, 2006 Nov.
Article in English | MEDLINE | ID: mdl-16828197

ABSTRACT

Information regarding the method of production of food products influences the decision-making process of consumers. The aim of this study is investigate to what extent information about genomics biases consumer decision making. We investigate the exact source of the biasing nature by separating the effect on consumer beliefs and the salience of those beliefs. The effect of information is tested through an information condition concerning two breeding methods, namely classical breeding and breeding enabled by genomics. The results show that consumer preferences are influenced by the information on production technology. More specifically, the consumer preferences change because consumers alter the salience of their beliefs towards the product.


Subject(s)
Consumer Behavior , Cultural Characteristics , Food Preferences/ethnology , Genomics , Adult , Analysis of Variance , Attitude to Health/ethnology , Decision Making , Female , Health Behavior/ethnology , Humans , Male , Middle Aged , Netherlands , Research Design
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