Wind energy development and perceived real estate values in Ontario, Canada

Journal article

Chad Walker, Jamie Baxter, Sarah Mason, Isaac Luginaah, Danielle Ouellette
AIMS energy 2014, Vol. 2, Pages 424-442, vol. 2(4), 2014 Oct 18, pp. 424-442

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APA Click to copy
Walker, C., Baxter, J., Mason, S., Luginaah, I., & Ouellette, D. (2014). Wind energy development and perceived real estate values in Ontario, Canada. AIMS Energy 2014, Vol. 2, Pages 424-442, 2(4), 424–442.

Chicago/Turabian Click to copy
Walker, Chad, Jamie Baxter, Sarah Mason, Isaac Luginaah, and Danielle Ouellette. “Wind Energy Development and Perceived Real Estate Values in Ontario, Canada.” AIMS energy 2014, Vol. 2, Pages 424-442 2, no. 4 (October 18, 2014): 424–442.

MLA Click to copy
Walker, Chad, et al. “Wind Energy Development and Perceived Real Estate Values in Ontario, Canada.” AIMS Energy 2014, Vol. 2, Pages 424-442, vol. 2, no. 4, Oct. 2014, pp. 424–42.

BibTeX Click to copy

@article{chad2014a,
  title = {Wind energy development and perceived real estate values in Ontario, Canada},
  year = {2014},
  month = oct,
  day = {18},
  issue = {4},
  journal = {AIMS energy 2014, Vol. 2, Pages 424-442},
  pages = {424-442},
  volume = {2},
  author = {Walker, Chad and Baxter, Jamie and Mason, Sarah and Luginaah, Isaac and Ouellette, Danielle},
  month_numeric = {10}
}

This paper focuses on public concerns about real estate value loss in communities in the vicinity of wind turbines. There are some conflicting results in recent academic and non-academic literatures on the issue of property values in general—yet little has been studied about how residents near turbines view the value of their own properties. Using both face-to-face interviews (n = 26) and community survey results (n = 152) from two adjacent communities, this exploratory mixed-method study contextualizes perceived property value loss. Interview results suggest a potential connection between perceived property value loss and actual property value loss, whereby assumed property degradation from turbines seem to lower both asking and selling prices. This idea is reinforced by regression results which suggest that felt property value loss is predicted by health concerns, visual annoyances and community-based variables. Overall, the findings point to the need for greater attention to micro-level local, and interconnected impacts of wind energy development.