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 |
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container_title | The Energy journal (Cambridge, Mass.) |
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creator | Ang, B. W. 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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W.</creatorcontrib><creatorcontrib>Choi, Ki-Hong</creatorcontrib><title>Decomposition of Aggregate Energy and Gas Emission Intensities for Industry: A Refined Divisia Index Method</title><title>The Energy journal (Cambridge, Mass.)</title><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.</description><subject>Air pollution</subject><subject>Analysis</subject><subject>Datasets</subject><subject>Decomposition</subject><subject>Decomposition methods</subject><subject>Economic indices</subject><subject>Electric power industry</subject><subject>Emissions</subject><subject>Energy consumption</subject><subject>Industrial energy demand</subject><subject>Industrial production</subject><subject>Industrial sectors</subject><subject>Natural gas</subject><subject>Price indexes</subject><subject>Statistical analysis</subject><subject>Studies</subject><subject>Weighting functions</subject><subject>Zero</subject><issn>0195-6574</issn><issn>1944-9089</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1997</creationdate><recordtype>article</recordtype><sourceid>X2L</sourceid><recordid>eNqNktFu0zAUhiMEEmXwCEgWQoILArEdxzbaTbWVrWgMaQNuLcc5yVJSu9hutb79HIo6hnqBLcuy_f3nHP0-WfYaF-8ZK_mHPgRbYMnyivEyh0W-cQMWuXU0p4-yCZZlmctCyMfZZI89zZ6FsCjSKLmYZD9PwbjlyoU-9s4i16Jp13nodAQ0s-C7LdK2QWc6oNky5RuhuY1gRwEE1Dqfzs06RL_9iKboCtreQoNO-00fej2-wS36AvHGNc-zJ60eArz4sx9l3z_Nvp2c5xdfz-Yn04vc8KqIeQXSEC0ZM7xoKZNQt4TUwGva1hiAC9IwEJRLaWpitBaiLjnTrWhEiamm9Ch7s4u78u7XGkJUqXIDw6AtuHVQvKRMcFrhRL76h1y4tbepOEUIKSpZVeQe6vQAqreti16bMaSaYslFwThL0LsDUAfJQj04m1xJ13_j-QE8zQaWvTnEv33AJyTCbez0OgQ1v756gB7vUONdCB5atfL9UvutwoUa2ybx15djP6ixH9Tss_oxto26dFSN5uGd3MMKzF6rwf62ZlBYSr5JeEGVTusmLpNG7jRBd3Bv4X_me7nTLkJ0fp8v_SQhnAp6B55C5Mo</recordid><startdate>199707</startdate><enddate>199707</enddate><creator>Ang, B. 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W. ; Choi, Ki-Hong</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c760t-6e9c2a955c70f359ebf22be7b3fb1ee782d5e83799cb2caa88b475af8d8413a33</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1997</creationdate><topic>Air pollution</topic><topic>Analysis</topic><topic>Datasets</topic><topic>Decomposition</topic><topic>Decomposition methods</topic><topic>Economic indices</topic><topic>Electric power industry</topic><topic>Emissions</topic><topic>Energy consumption</topic><topic>Industrial energy demand</topic><topic>Industrial production</topic><topic>Industrial sectors</topic><topic>Natural gas</topic><topic>Price indexes</topic><topic>Statistical analysis</topic><topic>Studies</topic><topic>Weighting functions</topic><topic>Zero</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ang, B. W.</creatorcontrib><creatorcontrib>Choi, Ki-Hong</creatorcontrib><collection>RePEc IDEAS</collection><collection>RePEc</collection><collection>CrossRef</collection><collection>Gale In Context: Science</collection><collection>Electronics & Communications Abstracts</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Civil Engineering Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><jtitle>The Energy journal (Cambridge, Mass.)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ang, B. W.</au><au>Choi, Ki-Hong</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Decomposition of Aggregate Energy and Gas Emission Intensities for Industry: A Refined Divisia Index Method</atitle><jtitle>The Energy journal (Cambridge, Mass.)</jtitle><date>1997-07</date><risdate>1997</risdate><volume>18</volume><issue>3</issue><spage>59</spage><epage>73</epage><pages>59-73</pages><issn>0195-6574</issn><eissn>1944-9089</eissn><coden>ENJODN</coden><abstract>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. 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language | eng |
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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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