Search Issue Lab collection home
keyboard_arrow_leftBack

Results of the Connecticut Clean Energy Survey fielded by Global Strategy Group

Oct 14, 2021
  • Description

An October 2021 survey of Connecticut voters on clean energy shows broad support for clean energy solutions and a strong concern that climate change is already a crisis and getting worse.

Description:

  • A survey fielded by Global Strategies Group in October 2021 showed Connecticut voters view clean energy as an imperative to protect the climate and public health and safety.
  • 88% of Connecticut voters surveyed think that climate change is either a problem or a crisis, and eight in ten voters surveyed think it's getting worse. A significant majority of voters support a plan to transition to zero emissions by 2050 (68%) and zero carbon electricity (70%).
  • Solar and wind are hugely popular among Connecticut voters, who support increasing their use in the state's energy mix by wide margins (87% and 74% respectively), while voters overwhelmingly support using less oil and coal (71% and 72%, respectively).
  • Voters are generally split on whether gas is a clean energy source, suggesting there is more work to do in public messaging and education about the role that gas plays in worsening carbon emissions.
  • Connecticut voters see a move toward clean energy as having potential to positively impact health and safety, with voters of color particularly optimistic. An overwhelming majority of Connecticut voters are ready for the state government to take bold action on a range of clean energy initiatives, with repairing leaking gas pipes at the top of the list (91% support), followed by provide incentives for people to make their homes and businesses more energy efficient (88%), incentives to homeowners to switch from propane, oil, or gas heating to cleaner alternatives such as heat pumps and funding for startup and emerging clean energy tech companies (both at 75%).

  • Copyright
  • Copyright 2021 by Global Strategy Group. All rights reserved.
  • Linked data add