Recently, the Logarithmic Mean Divisia Index (LMDI) approach to energy decomposition has been espoused as the preferred indexing method. Whilst the LMDI method provides perfect decomposition, and is time-reversal invariant, its strategy to handle zero-values is not necessarily robust. In order to ov
Handling zero values in the logarithmic mean Divisia index decomposition approach
โ Scribed by B.W. Ang; Na Liu
- Publisher
- Elsevier Science
- Year
- 2007
- Tongue
- English
- Weight
- 208 KB
- Volume
- 35
- Category
- Article
- ISSN
- 0301-4215
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โฆ Synopsis
The Logarithmic Mean Divisia Index (LMDI) decomposition approach has many desirable properties. It has been recommended by Ang [2004a. Decomposition analysis for policymaking in energy: which is the preferred methods? Energy Policy 32, 1131-1139] for adoption in energy and energy-related environmental index decomposition analysis (IDA). A complication associated with this approach is the treatment of zero values in the data set. Several studies show that replacing the zero values with a small number gives converging results. In a recent paper, Wood and Lenzen [Zero-value problems of the logarithmic mean Divisia index decomposition method. Energy Policy, in press] argue that this strategy is not necessarily robust and recommend using the analytical limits proposed in Ang et al. [1998. Factorizing changes in energy and environmental indicators through decomposition. Energy 23, 489-495]. We compare these two strategies and extend earlier works by generalizing the analytical limits of LMDI.
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