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Understanding energy systems change in Canada: 1. Decomposition of total energy intensity

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  • Torrie, Ralph D.
  • Stone, Christopher
  • Layzell, David B.

Abstract

Between 1995 and 2010, the total energy intensity (E/GDP, PJ/Gross Domestic Product in 2002$) of the Canadian economy declined by 23% or −2.64MJ/$. To understand why, the Logarithmic Mean Divisia Index (LMD-I) method was used to decompose a large body of government statistical data supporting the observed E/GDP decline. The analysis shows that (a) 48% (1.27MJ/$) of the decline was associated with an inter-sector structural change in the economy (i.e. an increased contribution to the total GDP of the low energy-using commercial and institutional sector compared with the high energy-using manufacturing and heavy industry sectors); (b) 24% (0.62MJ/$) was attributed to the impact of the Canadian GDP growing faster than population; (c) 22% (0.58MJ/$) of the decline was associated with an overall decrease in business energy intensity. A deeper analysis of business sectors shows a positive impact of 0.4MJ/$ from increased energy intensity in the oil and gas sector, offset by a 0.98MJ/$ decline due to energy intensity declines in the other business sectors; (d) 6.3% (0.17MJ/$) of the decline was associated with an improvement in the energy intensity of households, mostly from residential energy use rather than personal transportation energy use. These results provide insights for policy makers regarding those aspects of the Canadian economy that contribute to, or work against, efforts to transform energy systems toward sustainability.

Suggested Citation

  • Torrie, Ralph D. & Stone, Christopher & Layzell, David B., 2016. "Understanding energy systems change in Canada: 1. Decomposition of total energy intensity," Energy Economics, Elsevier, vol. 56(C), pages 101-106.
  • Handle: RePEc:eee:eneeco:v:56:y:2016:i:c:p:101-106
    DOI: 10.1016/j.eneco.2016.03.012
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    References listed on IDEAS

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    1. Voigt, Sebastian & De Cian, Enrica & Schymura, Michael & Verdolini, Elena, 2014. "Energy intensity developments in 40 major economies: Structural change or technology improvement?," Energy Economics, Elsevier, vol. 41(C), pages 47-62.
    2. Gardner, Douglas, 1993. "Industrial energy use in Ontario from 1962 to 1984," Energy Economics, Elsevier, vol. 15(1), pages 25-32, January.
    3. Ang, B.W. & Liu, F.L., 2001. "A new energy decomposition method: perfect in decomposition and consistent in aggregation," Energy, Elsevier, vol. 26(6), pages 537-548.
    4. Boyd, Gale A. & Hanson, Donald A. & Sterner, Thomas, 1988. "Decomposition of changes in energy intensity : A comparison of the Divisia index and other methods," Energy Economics, Elsevier, vol. 10(4), pages 309-312, October.
    5. Ang, B. W., 2004. "Decomposition analysis for policymaking in energy:: which is the preferred method?," Energy Policy, Elsevier, vol. 32(9), pages 1131-1139, June.
    6. Ang, B.W. & Mu, A.R. & Zhou, P., 2010. "Accounting frameworks for tracking energy efficiency trends," Energy Economics, Elsevier, vol. 32(5), pages 1209-1219, September.
    7. B. W. Ang & Ki-Hong Choi, 1997. "Decomposition of Aggregate Energy and Gas Emission Intensities for Industry: A Refined Divisia Index Method," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3), pages 59-73.
    8. Ang, B. W., 2005. "The LMDI approach to decomposition analysis: a practical guide," Energy Policy, Elsevier, vol. 33(7), pages 867-871, May.
    9. Bin Su & B. W. Ang, 2012. "Structural Decomposition Analysis Applied To Energy And Emissions: Aggregation Issues," Economic Systems Research, Taylor & Francis Journals, vol. 24(3), pages 299-317, March.
    10. Su, Bin & Ang, B.W., 2012. "Structural decomposition analysis applied to energy and emissions: Some methodological developments," Energy Economics, Elsevier, vol. 34(1), pages 177-188.
    11. Ang, B.W. & Xu, X.Y., 2013. "Tracking industrial energy efficiency trends using index decomposition analysis," Energy Economics, Elsevier, vol. 40(C), pages 1014-1021.
    12. Ang, B.W. & Zhang, F.Q., 2000. "A survey of index decomposition analysis in energy and environmental studies," Energy, Elsevier, vol. 25(12), pages 1149-1176.
    13. Nanduri, Mallika & Nyboer, John & Jaccard, Mark, 2002. "Aggregating physical intensity indicators: results of applying the composite indicator approach to the Canadian industrial sector," Energy Policy, Elsevier, vol. 30(2), pages 151-163, January.
    14. 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.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Energy systems analysis; Decomposition; Energy intensity; Canada; LMDI;
    All these keywords.

    JEL classification:

    • O44 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Environment and Growth
    • C43 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Index Numbers and Aggregation
    • Q43 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy and the Macroeconomy

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