Please use this identifier to cite or link to this item: https://doi.org/10.1016/j.enpol.2003.10.010
DC FieldValue
dc.titleThe LMDI approach to decomposition analysis: A practical guide
dc.contributor.authorAng, B.W.
dc.date.accessioned2014-06-17T07:03:14Z
dc.date.available2014-06-17T07:03:14Z
dc.date.issued2005-05
dc.identifier.citationAng, B.W. (2005-05). The LMDI approach to decomposition analysis: A practical guide. Energy Policy 33 (7) : 867-871. ScholarBank@NUS Repository. https://doi.org/10.1016/j.enpol.2003.10.010
dc.identifier.issn03014215
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/63368
dc.description.abstractIn a recent study, Ang (Energy Policy 32 (2004)) compared various index decomposition analysis methods and concluded that the logarithmic mean Divisia index method is the preferred method. Since the literature on the method tends to be either too technical or specific for most potential users, this paper provides a practical guide that includes the general formulation process, summary tables for easy reference and examples. © 2003 Elsevier Ltd. All rights reserved.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1016/j.enpol.2003.10.010
dc.sourceScopus
dc.subjectDecomposition analysis
dc.subjectDivisia index
dc.subjectIndex decomposition analysis
dc.subjectLMDI
dc.typeArticle
dc.contributor.departmentINDUSTRIAL & SYSTEMS ENGINEERING
dc.description.doi10.1016/j.enpol.2003.10.010
dc.description.sourcetitleEnergy Policy
dc.description.volume33
dc.description.issue7
dc.description.page867-871
dc.description.codenENPYA
dc.identifier.isiut000226596500004
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