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Title: Index Decomposition Analysis: Some Methodological Issues
Authors: MU AORAN
Keywords: Index Decomposition Analysis; Index Numbers; LMDI; Chaining; Non-chaining
Issue Date: 15-Aug-2012
Citation: MU AORAN (2012-08-15). Index Decomposition Analysis: Some Methodological Issues. ScholarBank@NUS Repository.
Abstract: Index decomposition analysis (IDA) is a popular technique for analyzing the impacts of factors influencing changes of various energy-related aggregate indices or indicators and for tracking economy-wide and sectoral energy efficiency trends. A large number of studies, especially empirical ones, have been reported in the literature, and the technique has been adopted by several international organizations and national energy agencies. Due to the importance of IDA in energy studies, this thesis presents an up-to-date and comprehensive review of the technique and its applications, as well as looks into several methodological issues including the underpinning theory. Linkages and differences between IDA and index numbers in economics were studied. Relationships between Laspeyres-based IDA methods and the Shapley value in game theory were formulized. Properties and linkages of commonly used Divisia-based IDA methods were studied and the unique features of the LMDI I method were further explored. In addition, the advantages and disadvantages of chaining and non-chaining approaches were examined and recommendations were provided.
Appears in Collections:Ph.D Theses (Open)

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