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Tracking industrial energy efficiency trends using index decomposition analysis

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  • Ang, B.W.
  • Xu, X.Y.

Abstract

Index decomposition analysis (IDA) has been widely used to track economy-wide and sectoral energy efficiency trends. An integral part of this application is identifying the drivers of energy use for the energy consuming sector studied. In the case of industry, a monetary activity indicator such as value added is often taken as the driver. With the availability of physical production data for some industry subsectors, such as in tonnes or cubic meters, effort has been made by researchers to incorporate physical activity indicators in order to produce results that can better capture energy efficiency trends. We review and consolidate two different approaches to incorporating physical activity indicators in industrial energy studies using IDA. Based on their underlying concept, they are referred to as the intensity refactorization (IR) approach and the activity revaluation (AR) approach. We refine the AR approach, and compare the AR, IR, and the conventional monetary-based IDA approaches. Numerical examples and recommendations are presented.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:eneeco:v:40:y:2013:i:c:p:1014-1021
    DOI: 10.1016/j.eneco.2013.05.014
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    More about this item

    Keywords

    Index decomposition analysis; Energy indicators; Industrial energy; Energy efficiency; LMDI;
    All these keywords.

    JEL classification:

    • 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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