Please use this identifier to cite or link to this item:
|Title:||Tracking industrial energy efficiency trends using index decomposition analysis||Authors:||Ang, B.W.
Index decomposition analysis
|Issue Date:||Nov-2013||Citation:||Ang, B.W., Xu, X.Y. (2013-11). Tracking industrial energy efficiency trends using index decomposition analysis. Energy Economics 40 : 1014-1021. ScholarBank@NUS Repository. https://doi.org/10.1016/j.eneco.2013.05.014||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. © 2013 Elsevier B.V.||Source Title:||Energy Economics||URI:||http://scholarbank.nus.edu.sg/handle/10635/87293||ISSN:||01409883||DOI:||10.1016/j.eneco.2013.05.014|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Oct 17, 2019
WEB OF SCIENCETM
checked on Oct 10, 2019
checked on Oct 12, 2019
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.