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An assessment of factors impacting Canada's electricity sector's GHG emissions

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  • Steenhof, Paul A.
  • Weber, Chris J.

Abstract

In this article we develop and then implement a decomposition model of Canada's electricity sector in order to assess multiple factors impacting on trends in greenhouse gas emissions from the sector, with a focus on the impact of climate and energy policy on emissions for the time period spanning from 1990 to 2008. The analysis shows that during these years, the primary factors driving changes in emissions included changes in electricity demand, changes in the generation mix of electricity, and weather, but that government policy and programs had only minor impacts on emissions. Although having relatively lesser impacts compared to the aforementioned factors, the most significant policy related factors included efforts to increase renewables in the generation mix through programs such as renewable portfolio standards and incentives for wind generators.

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  • Steenhof, Paul A. & Weber, Chris J., 2011. "An assessment of factors impacting Canada's electricity sector's GHG emissions," Energy Policy, Elsevier, vol. 39(7), pages 4089-4096, July.
  • Handle: RePEc:eee:enepol:v:39:y:2011:i:7:p:4089-4096
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    References listed on IDEAS

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    Cited by:

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    8. Gui, Shusen & Mu, Hailin & Li, Nan, 2014. "Analysis of impact factors on China's CO2 emissions from the view of supply chain paths," Energy, Elsevier, vol. 74(C), pages 405-416.
    9. Zhao, Xiaoli & Ma, Qian & Yang, Rui, 2013. "Factors influencing CO2 emissions in China's power industry: Co-integration analysis," Energy Policy, Elsevier, vol. 57(C), pages 89-98.
    10. Rodrigues, João F.D. & Wang, Juan & Behrens, Paul & de Boer, Paul, 2020. "Drivers of CO2 emissions from electricity generation in the European Union 2000–2015," Renewable and Sustainable Energy Reviews, Elsevier, vol. 133(C).
    11. Xu, X.Y. & Ang, B.W., 2013. "Index decomposition analysis applied to CO2 emission studies," Ecological Economics, Elsevier, vol. 93(C), pages 313-329.
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    13. Cheng, Shulei & Wu, Yinyin & Chen, Hua & Chen, Jiandong & Song, Malin & Hou, Wenxuan, 2019. "Determinants of changes in electricity generation intensity among different power sectors," Energy Policy, Elsevier, vol. 130(C), pages 389-408.
    14. Jiemin Huang & Jiaoju Ge & Kai Chang & Yixiang Tian, 2020. "Dynamic hedging analysis of carbon emission trading yield in Shenzhen," Energy & Environment, , vol. 31(5), pages 870-885, August.
    15. Claudia Kettner & Daniela Kletzan-Slamanig & Angela Köppl, 2015. "The EU Emission Trading Scheme: sectoral allocation and factors determining emission changes," Journal of Environmental Economics and Policy, Taylor & Francis Journals, vol. 4(1), pages 1-14, March.
    16. Karmellos, M. & Kopidou, D. & Diakoulaki, D., 2016. "A decomposition analysis of the driving factors of CO2 (Carbon dioxide) emissions from the power sector in the European Union countries," Energy, Elsevier, vol. 94(C), pages 680-692.
    17. Wang, Yongpei & Li, Jun, 2019. "Spatial spillover effect of non-fossil fuel power generation on carbon dioxide emissions across China's provinces," Renewable Energy, Elsevier, vol. 136(C), pages 317-330.
    18. Liu, Nan & Ma, Zujun & Kang, Jidong, 2017. "A regional analysis of carbon intensities of electricity generation in China," Energy Economics, Elsevier, vol. 67(C), pages 268-277.
    19. Xu, X.Y. & Ang, B.W., 2014. "Multilevel index decomposition analysis: Approaches and application," Energy Economics, Elsevier, vol. 44(C), pages 375-382.
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    21. Goh, Tian & Ang, B.W. & Xu, X.Y., 2018. "Quantifying drivers of CO2 emissions from electricity generation – Current practices and future extensions," Applied Energy, Elsevier, vol. 231(C), pages 1191-1204.

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    Electricity Emissions Decomposition;

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