LMDI decomposition approach: A guide for implementation
LMDI decomposition approach: A guide for implementation
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DOI：
10.1016/j.enpol.2015.07.007
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发表时间：
2015-11-01
期刊：
影响因子：
9
通讯作者：
Ang, B. W.
中科院分区：
文献类型：
--
作者：
Ang, B. W.
自20世纪80年代初首次被研究人员用于分析工业用电量以来，指数分解分析（IDA）已被广泛应用于能源和排放研究。最近，它被用作跟踪整个经济体能源效率趋势的核算框架的分析组成部分，引起了决策者的极大关注和兴趣。最近一次关于IDA的综合性文献综述是在2000年，这是几年前的事了。在给出了更新，并提出了在过去15年的主要趋势，本研究的重点是对数平均Divisia指数（LMDI）分解方法的实施问题，鉴于其主导地位，在IDA近年来。给出了8种LMDI模型，并总结了它们的起源、分解公式和优缺点。提供了关于在这些模式中进行选择的准则，以协助用户实施。(c)2015爱思唯尔有限公司版权所有。
Since it was first used by researchers to analyze industrial electricity consumption in the early 1980s, index decomposition analysis (IDA) has been widely adopted in energy and emission studies. Lately its use as the analytical component of accounting frameworks for tracking economy-wide energy efficiency trends has attracted considerable attention and interest among policy makers. The last comprehensive literature review of IDA was reported in 2000 which is some years back. After giving an update and presenting the key trends in the last 15 years, this study focuses on the implementation issues of the logarithmic mean Divisia index (LMDI) decomposition methods in view of their dominance in IDA in recent years. Eight LMDI models are presented and their origin, decomposition formulae, and strengths and weaknesses are summarized. Guidelines on the choice among these models are provided to assist users in implementation. (c) 2015 Elsevier Ltd. All rights reserved.