Decomposition of Aggregate Energy and Gas Emission Intensities for Industry: A Refined Divisia Index Method

Several methods for decomposing energy consumption or energy-induced gas emissions in industry have been proposed by various analysts. Two commonly encountered problems in the application of these methods are the existence of a residual after decomposition and the handling of the value zero in the d...

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Veröffentlicht in:The Energy journal (Cambridge, Mass.) Mass.), 1997-07, Vol.18 (3), p.59-73
Hauptverfasser: Ang, B. W., Choi, Ki-Hong
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container_title The Energy journal (Cambridge, Mass.)
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Choi, Ki-Hong
description Several methods for decomposing energy consumption or energy-induced gas emissions in industry have been proposed by various analysts. Two commonly encountered problems in the application of these methods are the existence of a residual after decomposition and the handling of the value zero in the data set. To overcome these two problems, we modify the often used Divisia index decomposition method by replacing the arithmetic mean weight function by a logarithmic one. This refined Divisia index method can be shown to give perfect decomposition with no residual. It also gives converging decomposition results when the zero values in the data set are replaced by a sufficiently small number. The properties of the method are highlighted using the data of the Korean industry.
doi_str_mv 10.5547/issn0195-6574-ej-vol18-no3-3
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source RePEc; Business Source Complete; JSTOR Archive Collection A-Z Listing
subjects Air pollution
Analysis
Datasets
Decomposition
Decomposition methods
Economic indices
Electric power industry
Emissions
Energy consumption
Industrial energy demand
Industrial production
Industrial sectors
Natural gas
Price indexes
Statistical analysis
Studies
Weighting functions
Zero
title Decomposition of Aggregate Energy and Gas Emission Intensities for Industry: A Refined Divisia Index Method
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