Latest DECC figures show majority of British public backs renewables

The Department of Energy and Climate Change (DECC) has released the latest the latest figures showing the public’s attitude towards energy.
Click here to see the full report
The key findings were:

  • 28% were either very or fairly worried about paying for their energy bills
  • 42% had never switched their energy supplier
  • Just over a quarter claimed to give a lot of thought to saving energy at home (28%), whilst half claimed to give it a fair amount of thought (51%)
  • 81% expressing support for the use of renewables. Opposition to renewables was very low at 4%, with only 2% strongly opposed
  • 50% of people oppose fracking
  • Between a third and half of respondents claimed to be aware of the three most common renewable heating systems: air source heat pumps (34%), ground source heat pumps (39%), and biomass boilers (51%)
  • The insulation measures most commonly installed were double glazing (76%), and loft or top-up loft insulation (63%)
  • Half of respondents (50%) believed that central heating uses the most energy in the home over the course of a year, compared with one in five who thought large appliances used the most (19%).

Responding to the latest DECC public attitudes survey released today, Juliet Davenport OBE, chief executive of renewable energy company Good Energy said:
“The message from the British public is loud and clear. 81% of us back renewables for our energy – people want to see a transition to a renewable future here in the UK.
“Just last week in New York, world leaders signed the Paris climate agreement, supporting ambitious plans to reduce carbon emissions. The government needs to listen to public support, take the lead in seizing new opportunities and keep us on the path to decarbonisation.”
The results shown here are based on 2,105 face-to-face in-home interviews conducted with a representative sample of UK adults aged 16+. Fieldwork was conducted between 23 March 2016 and 27 March 2016 on the TNS UK Omnibus, which uses a random location quota sampling method.