Item Details
Skip Navigation Links
   ActiveUsers:846Hits:20010837Skip Navigation Links
Show My Basket
Contact Us
IDSA Web Site
Ask Us
Today's News
HelpExpand Help
Advanced search

In Basket
  Journal Article   Journal Article
 

ID177136
Title ProperTwo energy suppliers are better than one
Other Title InformationSurvey experiments on consumer engagement with local energy in GB
LanguageENG
AuthorWatson, Nicole E
Summary / Abstract (Note)Usually consumers have a single energy supplier. Permitting consumers to take on additional contracts with local suppliers in a multiple-supplier model could support growth of local renewable energy. The aims of this study were to assess the attractiveness of a multiple-supplier model and to understand whether consumers would be more likely to engage with local energy suppliers in a multiple-supplier model or the current single supplier model. An additional aim was to explore the role of default effects and cognitive biases associated with remaining with incumbent suppliers (loss-aversion, cognitive effort and implied endorsement). Two nationally representative survey experiments were conducted in Great Britain (n = 1042, n = 762). Results showed that participants were significantly more likely to engage with local energy suppliers under a multiple-supplier model than the current single supplier model. In one experiment, consumers’ preference for adding a local supplier under a multiple-supplier model was so strong that it overcame default effects. The perception that the supplier has been recommended (i.e. implied endorsement) was the most robust mechanism associated with remaining with default suppliers, suggesting that explicit endorsement of local energy suppliers may encourage uptake. Results suggest multiple-supplier models are likely to be a promising avenue for increased energy market engagement.
`In' analytical NoteEnergy Policy Vol.147; Dec 2020 : p.111891
Journal SourceEnergy Policy 2020-12 147
Key WordsBehavioural Economics ;  Survey Experiment ;  Local Energy ;  Cognitive Biases ;  Future Energy Markets ;  Multiple-Supplier Models