TY - JOUR
TI - Prevalence and predictors of wind energy opposition in North America
AU - Stokes, L
AU - Franzblau, E
AU - Lovering, J
AU - Miljanich, C
T2 - Proceedings of the National Academy of Science
AB - Addressing climate change requires societies to transition away from fossil fuels toward low-carbon energy, including renewables. Unfortunately, large wind projects have proven politically controversial, with groups opposing them across advanced economies. To date, there are few large-scale, systematic studies to identify the prevalence and predictors of opposition to wind energy projects. Here, we analyzed a dataset of wind energy projects across the United States and Canada between 2000 and 2016. We found that during this period, in the United States, 17% of wind projects faced significant opposition, and in Canada, 18% faced opposition, with rates in both countries growing over time. Opposition was concentrated regionally in the Northeastern United States and in Ontario, Canada. In both countries, larger projects with more turbines were more likely to be opposed. In the United States, opposition was more likely and more intense in areas with a higher proportion of White people, and a smaller proportion of Hispanic people. In Canada, opposition was more likely and more intense in wealthier communities. The most common tactics used to oppose wind energy were court cases, legislation, and physical protests. The number of people engaging in opposition to wind projects is likely small: Across articles that cited the number of individuals engaging in protests, the median number was 23 in the United States and 34 in Canada. When wealthier, Whiter communities oppose wind projects, this slows down the transition away from fossil fuel projects in poorer communities and communities of color, an environmental injustice we call “energy privilege.”
DA - 2023/09//
PY - 2023
VL - 120
IS - 40
UR - https://www.pnas.org/doi/full/10.1073/pnas.2302313120
DO - 10.1073/pnas.2302313120
LA - English
KW - Wind Energy
KW - Human Dimensions
KW - Climate Change
KW - Social & Economic Data
ER -