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A Note: Will Tomorrow's Energy Efficiency Indices Prove Useful in Economic Studies?

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  • Jay Zarnikau

Abstract

Recent attempts to construct national energy efficiency indices begin with the construction of "Btu aggregates" which are developed by adding together different energy resources based on their heating potential values or the heating values of the primary energy resources used to produce the energy resources which are ultimately consumed. The resulting indices may be of limited use in economic studies, where it is often important to consider the relative economic value of various component resources and their substitutability in response to relative price changes. In such applications, But aggregates will tend to suggest greater achievements in energy efficiency during periods of electrification than would an approach which aggregates different energy resources based on their market values.

Suggested Citation

  • Jay Zarnikau, 1999. "A Note: Will Tomorrow's Energy Efficiency Indices Prove Useful in Economic Studies?," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3), pages 139-145.
  • Handle: RePEc:aen:journl:1999v20-03-a06
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    Citations

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    Cited by:

    1. Liu, Na & Ang, B.W., 2007. "Factors shaping aggregate energy intensity trend for industry: Energy intensity versus product mix," Energy Economics, Elsevier, vol. 29(4), pages 609-635, July.
    2. Lescaroux, François, 2008. "Decomposition of US manufacturing energy intensity and elasticities of components with respect to energy prices," Energy Economics, Elsevier, vol. 30(3), pages 1068-1080, May.
    3. Horowitz, Marvin J. & Bertoldi, Paolo, 2015. "A harmonized calculation model for transforming EU bottom-up energy efficiency indicators into empirical estimates of policy impacts," Energy Economics, Elsevier, vol. 51(C), pages 135-148.
    4. Sorrell, Steve, 2015. "Reducing energy demand: A review of issues, challenges and approaches," Renewable and Sustainable Energy Reviews, Elsevier, vol. 47(C), pages 74-82.
    5. Bernard, Jean-Thomas & Cote, Bruno, 2005. "The measurement of the energy intensity of manufacturing industries: a principal components analysis," Energy Policy, Elsevier, vol. 33(2), pages 221-233, January.
    6. Cleveland, Cutler J., 2005. "Net energy from the extraction of oil and gas in the United States," Energy, Elsevier, vol. 30(5), pages 769-782.
    7. Sorrell, Steve, 2009. "Jevons' Paradox revisited: The evidence for backfire from improved energy efficiency," Energy Policy, Elsevier, vol. 37(4), pages 1456-1469, April.
    8. repec:eee:eneeco:v:67:y:2017:i:c:p:169-181 is not listed on IDEAS
    9. Bernard, Jean-Thomas & Côté, Bruno, 2002. "L'intensité énergétique du secteur manufacturier de 1976 à 1996 Québec, Ontario, Alberta et Colombie-Britannique," Cahiers de recherche 0203, GREEN.
    10. King, Carey W., 2014. "Matrix method for comparing system and individual energy return ratios when considering an energy transition," Energy, Elsevier, vol. 72(C), pages 254-265.
    11. Liao, Hua & Wei, Yi-Ming, 2010. "China's energy consumption: A perspective from Divisia aggregation approach," Energy, Elsevier, vol. 35(1), pages 28-34.
    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. Shiljkut, Vladimir M. & Rajakovic, Nikola Lj., 2015. "Demand response capacity estimation in various supply areas," Energy, Elsevier, vol. 92(P3), pages 476-486.
    14. Zarnikau, Jay, 1999. "Defining 'total energy use' in economic studies: does the aggregation approach matter?," Energy Economics, Elsevier, vol. 21(5), pages 485-492, October.
    15. Francçois Lescaroux, 2011. "The Oil Price-Microeconomy Relationship is Alive and Well," The Energy Journal, International Association for Energy Economics, vol. 0(Number 1), pages 25-48.

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    JEL classification:

    • F0 - International Economics - - General

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