Do market share and efficiency matter for each other? An application of the zero-sum gains data envelopment analysis
Current studies that use traditional data envelopment analysis (DEA) neglect the 100% market share restriction. This study adopts zero-sum gains data envelopment analysis to measure the efficiency scores of securities firms (SFs) and indicates that the traditional DEA model underestimates the effici...
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Veröffentlicht in: | The Journal of the Operational Research Society 2010-04, Vol.61 (4), p.647-657 |
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description | Current studies that use traditional data envelopment analysis (DEA) neglect the 100% market share restriction. This study adopts zero-sum gains data envelopment analysis to measure the efficiency scores of securities firms (SFs) and indicates that the traditional DEA model underestimates the efficiency scores of inefficient SFs. This research analyses 266 integrated securities firms in Taiwan from 2001 to 2005 and employs three inputs (fixed assets, financial capital, and general expenses) and a single output (market share). The foreign-affiliated ownership of SFs positively affects the efficiency scores. The two-stage least squares procedure confirms that the market share and efficiency score simultaneously reinforce each other. |
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An application of the zero-sum gains data envelopment analysis</title><source>Jstor Complete Legacy</source><creator>Hu, J-L ; Fang, C-Y</creator><creatorcontrib>Hu, J-L ; Fang, C-Y</creatorcontrib><description>Current studies that use traditional data envelopment analysis (DEA) neglect the 100% market share restriction. This study adopts zero-sum gains data envelopment analysis to measure the efficiency scores of securities firms (SFs) and indicates that the traditional DEA model underestimates the efficiency scores of inefficient SFs. This research analyses 266 integrated securities firms in Taiwan from 2001 to 2005 and employs three inputs (fixed assets, financial capital, and general expenses) and a single output (market share). The foreign-affiliated ownership of SFs positively affects the efficiency scores. The two-stage least squares procedure confirms that the market share and efficiency score simultaneously reinforce each other.</description><identifier>ISSN: 0160-5682</identifier><identifier>EISSN: 1476-9360</identifier><identifier>DOI: 10.1057/jors.2009.11</identifier><identifier>CODEN: JORSDZ</identifier><language>eng</language><publisher>London: Taylor & Francis</publisher><subject>Applied sciences ; Banking ; Branch banking ; Business and Management ; Competition ; Data envelopment analysis ; Efficiency ; Efficiency metrics ; Efficient markets ; Efficient strategies ; Exact sciences and technology ; Fixed assets ; Industrial efficiency ; Industrial market ; Linear programming ; Management ; Market share ; Market shares ; Mathematics ; Modeling ; Nonparametric inference ; Operational research and scientific management ; Operational research. Management science ; Operations research ; Operations Research/Decision Theory ; panel data ; Portfolio theory ; Probability and statistics ; Profitability ; Profits ; Sciences and techniques of general use ; Securities industry ; Statistics ; Studies ; Theoretical Paper ; Theoretical Papers ; two-stage least squares procedure (2SLS) ; zero-sum gains data envelopment analysis (ZSG-DEA)</subject><ispartof>The Journal of the Operational Research Society, 2010-04, Vol.61 (4), p.647-657</ispartof><rights>Copyright © 2009, Palgrave Macmillan Ltd 2009</rights><rights>2010 Operational Research Society Ltd</rights><rights>Palgrave Macmillan Ltd 2009</rights><rights>2015 INIST-CNRS</rights><rights>Palgrave Macmillan Ltd 2010</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c497t-3d35e3fd00f05bdd6c7153a3ce8161fc3a41dfec1dc6422ead062d467d9af1783</citedby><cites>FETCH-LOGICAL-c497t-3d35e3fd00f05bdd6c7153a3ce8161fc3a41dfec1dc6422ead062d467d9af1783</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.jstor.org/stable/pdf/40608188$$EPDF$$P50$$Gjstor$$H</linktopdf><linktohtml>$$Uhttps://www.jstor.org/stable/40608188$$EHTML$$P50$$Gjstor$$H</linktohtml><link.rule.ids>314,776,780,799,27901,27902,57992,58225</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=22579581$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Hu, J-L</creatorcontrib><creatorcontrib>Fang, C-Y</creatorcontrib><title>Do market share and efficiency matter for each other? An application of the zero-sum gains data envelopment analysis</title><title>The Journal of the Operational Research Society</title><addtitle>J Oper Res Soc</addtitle><description>Current studies that use traditional data envelopment analysis (DEA) neglect the 100% market share restriction. This study adopts zero-sum gains data envelopment analysis to measure the efficiency scores of securities firms (SFs) and indicates that the traditional DEA model underestimates the efficiency scores of inefficient SFs. This research analyses 266 integrated securities firms in Taiwan from 2001 to 2005 and employs three inputs (fixed assets, financial capital, and general expenses) and a single output (market share). The foreign-affiliated ownership of SFs positively affects the efficiency scores. The two-stage least squares procedure confirms that the market share and efficiency score simultaneously reinforce each other.</description><subject>Applied sciences</subject><subject>Banking</subject><subject>Branch banking</subject><subject>Business and Management</subject><subject>Competition</subject><subject>Data envelopment analysis</subject><subject>Efficiency</subject><subject>Efficiency metrics</subject><subject>Efficient markets</subject><subject>Efficient strategies</subject><subject>Exact sciences and technology</subject><subject>Fixed assets</subject><subject>Industrial efficiency</subject><subject>Industrial market</subject><subject>Linear programming</subject><subject>Management</subject><subject>Market share</subject><subject>Market shares</subject><subject>Mathematics</subject><subject>Modeling</subject><subject>Nonparametric inference</subject><subject>Operational research and scientific management</subject><subject>Operational research. 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An application of the zero-sum gains data envelopment analysis</title><author>Hu, J-L ; Fang, C-Y</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c497t-3d35e3fd00f05bdd6c7153a3ce8161fc3a41dfec1dc6422ead062d467d9af1783</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2010</creationdate><topic>Applied sciences</topic><topic>Banking</topic><topic>Branch banking</topic><topic>Business and Management</topic><topic>Competition</topic><topic>Data envelopment analysis</topic><topic>Efficiency</topic><topic>Efficiency metrics</topic><topic>Efficient markets</topic><topic>Efficient strategies</topic><topic>Exact sciences and technology</topic><topic>Fixed assets</topic><topic>Industrial efficiency</topic><topic>Industrial market</topic><topic>Linear programming</topic><topic>Management</topic><topic>Market share</topic><topic>Market shares</topic><topic>Mathematics</topic><topic>Modeling</topic><topic>Nonparametric inference</topic><topic>Operational research and scientific management</topic><topic>Operational research. 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An application of the zero-sum gains data envelopment analysis</atitle><jtitle>The Journal of the Operational Research Society</jtitle><stitle>J Oper Res Soc</stitle><date>2010-04-01</date><risdate>2010</risdate><volume>61</volume><issue>4</issue><spage>647</spage><epage>657</epage><pages>647-657</pages><issn>0160-5682</issn><eissn>1476-9360</eissn><coden>JORSDZ</coden><abstract>Current studies that use traditional data envelopment analysis (DEA) neglect the 100% market share restriction. This study adopts zero-sum gains data envelopment analysis to measure the efficiency scores of securities firms (SFs) and indicates that the traditional DEA model underestimates the efficiency scores of inefficient SFs. This research analyses 266 integrated securities firms in Taiwan from 2001 to 2005 and employs three inputs (fixed assets, financial capital, and general expenses) and a single output (market share). The foreign-affiliated ownership of SFs positively affects the efficiency scores. The two-stage least squares procedure confirms that the market share and efficiency score simultaneously reinforce each other.</abstract><cop>London</cop><pub>Taylor & Francis</pub><doi>10.1057/jors.2009.11</doi><tpages>11</tpages></addata></record> |
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subjects | Applied sciences Banking Branch banking Business and Management Competition Data envelopment analysis Efficiency Efficiency metrics Efficient markets Efficient strategies Exact sciences and technology Fixed assets Industrial efficiency Industrial market Linear programming Management Market share Market shares Mathematics Modeling Nonparametric inference Operational research and scientific management Operational research. Management science Operations research Operations Research/Decision Theory panel data Portfolio theory Probability and statistics Profitability Profits Sciences and techniques of general use Securities industry Statistics Studies Theoretical Paper Theoretical Papers two-stage least squares procedure (2SLS) zero-sum gains data envelopment analysis (ZSG-DEA) |
title | Do market share and efficiency matter for each other? An application of the zero-sum gains data envelopment analysis |
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