Abstract
The world faces a crisis; climate change is beginning to show more damaging effects on our planet. Without human intervention to stop these effects from worsening, they are predicted to escalate, such as mass extinctions and more frequent natural disasters. In order to curb climate change, the world must begin a transition to renewable and green energy sources as soon as it is feasible. One of the potential forces slowing the transition to renewables is the public's perception and opposition. For example, a spot for a photovoltaic solar farm may be the most economically optimal, but if the community does not support its construction, it can lead to delays or even the project's cancellation. Although generally, the majority support renewables, the reality is that the public tends to have issues with them when they are to be placed in their communities. Opposition could be caused by inequitable placement, place attachment, or distrust for the utility companies. Public perception needs to be accounted for when looking at areas for utility-scale renewables. One way is to survey the public and analyze their responses along with other data in order to best visualize and create a plan to move the United States into a cleaner future. The survey, with over 400 responses, determined that political affiliation is statistically significant when determining what demographic impacts opposition of renewables.
Library of Congress Subject Headings
Renewable energy sources--Public opinion; Renewable energy sources--Government policy--United States--Public opinion
Publication Date
12-6-2023
Document Type
Thesis
Student Type
Graduate
Degree Name
Science, Technology and Public Policy (MS)
Department, Program, or Center
Public Policy, Department of
College
College of Liberal Arts
Advisor
Nathan Lee
Advisor/Committee Member
Eric Hittinger
Advisor/Committee Member
Kaitlin Stack Whitney
Recommended Citation
Russell, Bryson, "Understanding Drivers of Local Opposition to Renewable Energy Projects to Improve Adoption of Clean Energy" (2023). Thesis. Rochester Institute of Technology. Accessed from
https://repository.rit.edu/theses/11629
Campus
RIT – Main Campus
Plan Codes
STPP-MS