Although the ban on fossil fuel ads is restricted to The Hague’s jurisdiction, the decision to implement the ban challenges norms and conventions that drive fossil-fuel consumption worldwide and sets an example for other governments to follow.
Local fossil fuel ad ban as a catalyst for global change Read More »
This study examines how stable public acceptability judgements towards novel and established energy technologies are over time, which is important to consider in decision-making about the transition to low-carbon and energy-efficient systems.
Temporal stability of public acceptability of novel and established energy technologies Read More »
We propose a barrier-first approach, focusing on what prevents people from acting on their (strong) motivation to protect the environment and looking to remove those barriers.
A critical reflection on behavioural difficulty: proposing a barrier-first approach Read More »
Organisations have a critical role to play in this process by reducing their environmental impact, so it is essential to understand which factors affect workplace pro-environmental behaviours (WPEBs).
We studied public perceptions of what climate actions are needed, which actors should and can act, and which factors inhibit or enable those actions using the naturally occurring discourse on climate actions on Twitter during COP26.
How do people perceive this urgent but hidden crisis, and what determines their perceptions? To address this question, we developed and validated the Biodiversity Loss Perception Scale (BiLoPS), which measures people’s perceptions of the reality, causes, and consequences of biodiversity loss.
People’s perception of biodiversity loss: Validation of a scale in Germany Read More »
Past use and knowledge of cover crops, perceived need for adaptation, being risk seeking in farming, and using advisory services predicted intentions, whereas only past use of cover crops predicted both intention and actual adoption. Moreover, only the strongest level of reported intentions had some value in predicting actual behaviour.
