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Accounting for variation in wind deployment between Canadian provinces

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  • Ferguson-Martin, Christopher J.
  • Hill, Stephen D.

Abstract

Wind energy deployment varies widely across regions and this variation cannot be explained by differences in natural wind resources alone. Evidence suggests that institutional factors beyond physical wind resources can influence the deployment of wind energy systems. Building on the work of Toke et al. (2008), this study takes a historical institutionalist approach to examine the main factors influencing wind energy deployment across four Canadian provinces Canada: Alberta, Manitoba, Ontario and Nova Scotia. Our case studies suggest that wind energy deployment depends upon a combination of indirect causal factors--landscape values, political and social movements, government electricity policy, provincial electricity market structure and incumbent generation technologies and direct causal factors--grid architecture, ownership patterns, renewable incentive programs, planning and approvals processes and stakeholder support and opposition.

Suggested Citation

  • Ferguson-Martin, Christopher J. & Hill, Stephen D., 2011. "Accounting for variation in wind deployment between Canadian provinces," Energy Policy, Elsevier, vol. 39(3), pages 1647-1658, March.
    • Handle: RePEc:eee:enepol:v:39:y:2011:i:3:p:1647-1658
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    Cited by:

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    13. Ek, Kristina & Persson, Lars & Johansson, Maria & Waldo, Åsa, 2013. "Location of Swedish wind power—Random or not? A quantitative analysis of differences in installed wind power capacity across Swedish municipalities," Energy Policy, Elsevier, vol. 58(C), pages 135-141.
    14. Fast, Stewart & Mabee, Warren, 2015. "Place-making and trust-building: The influence of policy on host community responses to wind farms," Energy Policy, Elsevier, vol. 81(C), pages 27-37.
    15. Siyal, Shahid Hussain & Mörtberg, Ulla & Mentis, Dimitris & Welsch, Manuel & Babelon, Ian & Howells, Mark, 2015. "Wind energy assessment considering geographic and environmental restrictions in Sweden: A GIS-based approach," Energy, Elsevier, vol. 83(C), pages 447-461.
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