Grey input–output analysis and its application for environmental cost allocation

Deterministic input–output analysis has been applied to solving a variety of economic problems. Nevertheless, uncertainty plays an important role in decision-making and should be properly addressed in future input–output analysis. This study therefore describes a method of including systematic param...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:European journal of operational research 2003-02, Vol.145 (1), p.175-201
Hauptverfasser: Wu, C.C., Chang, N.B.
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 201
container_issue 1
container_start_page 175
container_title European journal of operational research
container_volume 145
creator Wu, C.C.
Chang, N.B.
description Deterministic input–output analysis has been applied to solving a variety of economic problems. Nevertheless, uncertainty plays an important role in decision-making and should be properly addressed in future input–output analysis. This study therefore describes a method of including systematic parameter uncertainties in an input–output model and develops its solution procedure using the genetic-algorithm-based (GA-based) grey mathematical programming technique as a tool. In particular, the model for assessing the impacts of recent pollution charges and water resource fees to a textile-dyeing factory is formulated and solved for the purpose of illustration. To account for the gross impact from systematic variations, most parameters are expressed as interval expressions as that are frequently used in the grey systems theory. Research findings indicate that the grey input–output analysis is an applicable tool to evaluate various environmental cost impacts influential for corporate production planning and management.
doi_str_mv 10.1016/S0377-2217(02)00174-1
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_204196929</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S0377221702001741</els_id><sourcerecordid>283549201</sourcerecordid><originalsourceid>FETCH-LOGICAL-c456t-786c53f5902fb8dcf85ad075f3487acf4a12589d88b0f0ded5311b10402bb893</originalsourceid><addsrcrecordid>eNqFUE1r3DAUFKGFbNL-hIDpKTk4eU-2LPkUQsgXCRTa3IUsS0SL13Il7cLe-h_6D_NLIsch1wqe5vGYGYYh5AThHAGbi99QcV5SivwU6BkA8rrEA7JCwWnZiAa-kNUn5ZAcxbiGzGLIVuTXXTD7wo3TNr3-_ee3KS-FGtWwjy7mpS9cyjhNg9MqOT8W1ofCjDsX_LgxY1JDoX3MmmHwC-Mb-WrVEM33Dzwmz7c3z9f35dPPu4frq6dS16xJJReNZpVlLVDbiV5bwVQPnNmqFlxpWyukTLS9EB1Y6E3PKsQOoQbadaKtjsmPxXYK_s_WxCTXfhty8igp1Ng2LZ1JbCHp4GMMxsopuI0Ke4kg5_Lke3lybkYCle_lScy6x0UXzGT0p8jkt_bBRLmTlcKa5X-fhwJUGdx8zDPNyFnOgfIlbbLb5eJmch07Z4KM2plRm94Fo5PsvftPnjct2JFy</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>204196929</pqid></control><display><type>article</type><title>Grey input–output analysis and its application for environmental cost allocation</title><source>RePEc</source><source>Elsevier ScienceDirect Journals Complete</source><creator>Wu, C.C. ; Chang, N.B.</creator><creatorcontrib>Wu, C.C. ; Chang, N.B.</creatorcontrib><description>Deterministic input–output analysis has been applied to solving a variety of economic problems. Nevertheless, uncertainty plays an important role in decision-making and should be properly addressed in future input–output analysis. This study therefore describes a method of including systematic parameter uncertainties in an input–output model and develops its solution procedure using the genetic-algorithm-based (GA-based) grey mathematical programming technique as a tool. In particular, the model for assessing the impacts of recent pollution charges and water resource fees to a textile-dyeing factory is formulated and solved for the purpose of illustration. To account for the gross impact from systematic variations, most parameters are expressed as interval expressions as that are frequently used in the grey systems theory. Research findings indicate that the grey input–output analysis is an applicable tool to evaluate various environmental cost impacts influential for corporate production planning and management.</description><identifier>ISSN: 0377-2217</identifier><identifier>EISSN: 1872-6860</identifier><identifier>DOI: 10.1016/S0377-2217(02)00174-1</identifier><identifier>CODEN: EJORDT</identifier><language>eng</language><publisher>Amsterdam: Elsevier B.V</publisher><subject>Algorithms ; Cost analysis ; Environmental management ; Genetic algorithm ; Grey systems theory ; Input output analysis ; Mathematical programming ; Operations research ; Production planning ; Studies ; System theory ; Textile industry</subject><ispartof>European journal of operational research, 2003-02, Vol.145 (1), p.175-201</ispartof><rights>2002 Elsevier Science B.V.</rights><rights>Copyright Elsevier Sequoia S.A. Feb 16, 2003</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c456t-786c53f5902fb8dcf85ad075f3487acf4a12589d88b0f0ded5311b10402bb893</citedby><cites>FETCH-LOGICAL-c456t-786c53f5902fb8dcf85ad075f3487acf4a12589d88b0f0ded5311b10402bb893</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/S0377-2217(02)00174-1$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,780,784,3550,4008,27924,27925,45995</link.rule.ids><backlink>$$Uhttp://econpapers.repec.org/article/eeeejores/v_3a145_3ay_3a2003_3ai_3a1_3ap_3a175-201.htm$$DView record in RePEc$$Hfree_for_read</backlink></links><search><creatorcontrib>Wu, C.C.</creatorcontrib><creatorcontrib>Chang, N.B.</creatorcontrib><title>Grey input–output analysis and its application for environmental cost allocation</title><title>European journal of operational research</title><description>Deterministic input–output analysis has been applied to solving a variety of economic problems. Nevertheless, uncertainty plays an important role in decision-making and should be properly addressed in future input–output analysis. This study therefore describes a method of including systematic parameter uncertainties in an input–output model and develops its solution procedure using the genetic-algorithm-based (GA-based) grey mathematical programming technique as a tool. In particular, the model for assessing the impacts of recent pollution charges and water resource fees to a textile-dyeing factory is formulated and solved for the purpose of illustration. To account for the gross impact from systematic variations, most parameters are expressed as interval expressions as that are frequently used in the grey systems theory. Research findings indicate that the grey input–output analysis is an applicable tool to evaluate various environmental cost impacts influential for corporate production planning and management.</description><subject>Algorithms</subject><subject>Cost analysis</subject><subject>Environmental management</subject><subject>Genetic algorithm</subject><subject>Grey systems theory</subject><subject>Input output analysis</subject><subject>Mathematical programming</subject><subject>Operations research</subject><subject>Production planning</subject><subject>Studies</subject><subject>System theory</subject><subject>Textile industry</subject><issn>0377-2217</issn><issn>1872-6860</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2003</creationdate><recordtype>article</recordtype><sourceid>X2L</sourceid><recordid>eNqFUE1r3DAUFKGFbNL-hIDpKTk4eU-2LPkUQsgXCRTa3IUsS0SL13Il7cLe-h_6D_NLIsch1wqe5vGYGYYh5AThHAGbi99QcV5SivwU6BkA8rrEA7JCwWnZiAa-kNUn5ZAcxbiGzGLIVuTXXTD7wo3TNr3-_ee3KS-FGtWwjy7mpS9cyjhNg9MqOT8W1ofCjDsX_LgxY1JDoX3MmmHwC-Mb-WrVEM33Dzwmz7c3z9f35dPPu4frq6dS16xJJReNZpVlLVDbiV5bwVQPnNmqFlxpWyukTLS9EB1Y6E3PKsQOoQbadaKtjsmPxXYK_s_WxCTXfhty8igp1Ng2LZ1JbCHp4GMMxsopuI0Ke4kg5_Lke3lybkYCle_lScy6x0UXzGT0p8jkt_bBRLmTlcKa5X-fhwJUGdx8zDPNyFnOgfIlbbLb5eJmch07Z4KM2plRm94Fo5PsvftPnjct2JFy</recordid><startdate>20030216</startdate><enddate>20030216</enddate><creator>Wu, C.C.</creator><creator>Chang, N.B.</creator><general>Elsevier B.V</general><general>Elsevier</general><general>Elsevier Sequoia S.A</general><scope>DKI</scope><scope>X2L</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>7TB</scope><scope>8FD</scope><scope>FR3</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope></search><sort><creationdate>20030216</creationdate><title>Grey input–output analysis and its application for environmental cost allocation</title><author>Wu, C.C. ; Chang, N.B.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c456t-786c53f5902fb8dcf85ad075f3487acf4a12589d88b0f0ded5311b10402bb893</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2003</creationdate><topic>Algorithms</topic><topic>Cost analysis</topic><topic>Environmental management</topic><topic>Genetic algorithm</topic><topic>Grey systems theory</topic><topic>Input output analysis</topic><topic>Mathematical programming</topic><topic>Operations research</topic><topic>Production planning</topic><topic>Studies</topic><topic>System theory</topic><topic>Textile industry</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Wu, C.C.</creatorcontrib><creatorcontrib>Chang, N.B.</creatorcontrib><collection>RePEc IDEAS</collection><collection>RePEc</collection><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Mechanical &amp; Transportation Engineering Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts – Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><jtitle>European journal of operational research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Wu, C.C.</au><au>Chang, N.B.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Grey input–output analysis and its application for environmental cost allocation</atitle><jtitle>European journal of operational research</jtitle><date>2003-02-16</date><risdate>2003</risdate><volume>145</volume><issue>1</issue><spage>175</spage><epage>201</epage><pages>175-201</pages><issn>0377-2217</issn><eissn>1872-6860</eissn><coden>EJORDT</coden><abstract>Deterministic input–output analysis has been applied to solving a variety of economic problems. Nevertheless, uncertainty plays an important role in decision-making and should be properly addressed in future input–output analysis. This study therefore describes a method of including systematic parameter uncertainties in an input–output model and develops its solution procedure using the genetic-algorithm-based (GA-based) grey mathematical programming technique as a tool. In particular, the model for assessing the impacts of recent pollution charges and water resource fees to a textile-dyeing factory is formulated and solved for the purpose of illustration. To account for the gross impact from systematic variations, most parameters are expressed as interval expressions as that are frequently used in the grey systems theory. Research findings indicate that the grey input–output analysis is an applicable tool to evaluate various environmental cost impacts influential for corporate production planning and management.</abstract><cop>Amsterdam</cop><pub>Elsevier B.V</pub><doi>10.1016/S0377-2217(02)00174-1</doi><tpages>27</tpages></addata></record>
fulltext fulltext
identifier ISSN: 0377-2217
ispartof European journal of operational research, 2003-02, Vol.145 (1), p.175-201
issn 0377-2217
1872-6860
language eng
recordid cdi_proquest_journals_204196929
source RePEc; Elsevier ScienceDirect Journals Complete
subjects Algorithms
Cost analysis
Environmental management
Genetic algorithm
Grey systems theory
Input output analysis
Mathematical programming
Operations research
Production planning
Studies
System theory
Textile industry
title Grey input–output analysis and its application for environmental cost allocation
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-05T12%3A27%3A25IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Grey%20input%E2%80%93output%20analysis%20and%20its%20application%20for%20environmental%20cost%20allocation&rft.jtitle=European%20journal%20of%20operational%20research&rft.au=Wu,%20C.C.&rft.date=2003-02-16&rft.volume=145&rft.issue=1&rft.spage=175&rft.epage=201&rft.pages=175-201&rft.issn=0377-2217&rft.eissn=1872-6860&rft.coden=EJORDT&rft_id=info:doi/10.1016/S0377-2217(02)00174-1&rft_dat=%3Cproquest_cross%3E283549201%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=204196929&rft_id=info:pmid/&rft_els_id=S0377221702001741&rfr_iscdi=true