Cost structures of banks grouped by strategic conduct
The hypothesis that the banking system consists of firms that use the same production technology is tested and rejected in this study. Six groupings of the population of commercial banks are identified using cluster analysis. The banks are grouped to reflect similar production technologies within gr...
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Veröffentlicht in: | Applied economics 2000-10, Vol.32 (12), p.1591-1605 |
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description | The hypothesis that the banking system consists of firms that use the same production technology is tested and rejected in this study. Six groupings of the population of commercial banks are identified using cluster analysis. The banks are grouped to reflect similar production technologies within groups but different technologies across groups as defined by the strategic conduct (i.e., activities) of the banks. The results suggest that banks in different clusters employ production processes that feature different degrees of substitutability between factors of production, and that the estimates of input substitutability for those groups look quite different from those estimated based on the full population of commercial banks. The impact of the homogeneity production technology assumption on the measurement of cost efficiency is also assessed. The results show that partitioning the industry by strategic conduct reduces the average inefficiency in the industry. These results support those found by others who used similar partitioning criteria but a more narrowly defined sample of banks. |
doi_str_mv | 10.1080/000368400418989 |
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Six groupings of the population of commercial banks are identified using cluster analysis. The banks are grouped to reflect similar production technologies within groups but different technologies across groups as defined by the strategic conduct (i.e., activities) of the banks. The results suggest that banks in different clusters employ production processes that feature different degrees of substitutability between factors of production, and that the estimates of input substitutability for those groups look quite different from those estimated based on the full population of commercial banks. The impact of the homogeneity production technology assumption on the measurement of cost efficiency is also assessed. The results show that partitioning the industry by strategic conduct reduces the average inefficiency in the industry. 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Six groupings of the population of commercial banks are identified using cluster analysis. The banks are grouped to reflect similar production technologies within groups but different technologies across groups as defined by the strategic conduct (i.e., activities) of the banks. The results suggest that banks in different clusters employ production processes that feature different degrees of substitutability between factors of production, and that the estimates of input substitutability for those groups look quite different from those estimated based on the full population of commercial banks. The impact of the homogeneity production technology assumption on the measurement of cost efficiency is also assessed. The results show that partitioning the industry by strategic conduct reduces the average inefficiency in the industry. These results support those found by others who used similar partitioning criteria but a more narrowly defined sample of banks.</description><subject>Applied economics</subject><subject>Bank regulation</subject><subject>Banking</subject><subject>Banking system</subject><subject>Banks</subject><subject>Commercial banks</subject><subject>Cost structure</subject><subject>Economic research</subject><subject>Hypotheses</subject><subject>Strategic planning</subject><subject>Studies</subject><subject>Technology</subject><issn>0003-6846</issn><issn>1466-4283</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2000</creationdate><recordtype>article</recordtype><sourceid>X2L</sourceid><sourceid>K30</sourceid><recordid>eNqFkEFP3DAQha2qSF2WnnuNqMQt4IntxO6tWkFbCcQFzpbtODQ0G6e2U9h_z0SLOKyEehiPPfO9p_EQ8gXoOVBJLyilrJacUg5SSfWBrIDXdckryT6S1dItsV1_IscpPeITKtasiNiElIuU4-zyHH0qQldYM_5JxUMM8-Tbwu6Wtsn-oXeFC2OL5Ak56syQ_OfXvCb3V5d3m5_l9e2PX5vv16UTgueSURCUMabAWW6pbQx1nVRWqQYks8pUYLlzjbPQ2tbyVjW0Vtw3tRWCdp6tydned4rh7-xT1ts-OT8MZvRhTppJJTig15qcHoCPYY4jzqYrqBqoJAeEvr4HgUAT0ciaIXWxp1wMKUXf6Sn2WxN3GqheNq0PNo2Km70i-sm7NzybzkzTgJV_mhlW4bHDqFCOqceApTYtF6FAQ02F_p236Pdt79ePXYhb8xTi0KLdbgixi2Z0Pf78_WHEf8UHGp2fM3sByXqsMw</recordid><startdate>20001001</startdate><enddate>20001001</enddate><creator>Brown, Jeffrey A.</creator><creator>Glennon, Dennis C.</creator><general>Taylor & Francis Group</general><general>Taylor and Francis Journals</general><general>Chapman and Hall, etc</general><general>Taylor & Francis Ltd</general><scope>DKI</scope><scope>X2L</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>FUVTR</scope><scope>HZAIM</scope><scope>K30</scope><scope>PAAUG</scope><scope>PAWHS</scope><scope>PAWZZ</scope><scope>PAXOH</scope><scope>PBHAV</scope><scope>PBQSW</scope><scope>PBYQZ</scope><scope>PCIWU</scope><scope>PCMID</scope><scope>PCZJX</scope><scope>PDGRG</scope><scope>PDWWI</scope><scope>PETMR</scope><scope>PFVGT</scope><scope>PGXDX</scope><scope>PIHIL</scope><scope>PISVA</scope><scope>PJCTQ</scope><scope>PJTMS</scope><scope>PLCHJ</scope><scope>PMHAD</scope><scope>PNQDJ</scope><scope>POUND</scope><scope>PPLAD</scope><scope>PQAPC</scope><scope>PQCAN</scope><scope>PQCMW</scope><scope>PQEME</scope><scope>PQHKH</scope><scope>PQMID</scope><scope>PQNCT</scope><scope>PQNET</scope><scope>PQSCT</scope><scope>PQSET</scope><scope>PSVJG</scope><scope>PVMQY</scope><scope>PZGFC</scope><scope>8BJ</scope><scope>FQK</scope><scope>JBE</scope></search><sort><creationdate>20001001</creationdate><title>Cost structures of banks grouped by strategic conduct</title><author>Brown, Jeffrey A. ; Glennon, Dennis C.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c554t-3015033391cb4b0b7a0cf89b997183b9a21b4cc7cb1dbdb4d970694e76b550fe3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2000</creationdate><topic>Applied economics</topic><topic>Bank regulation</topic><topic>Banking</topic><topic>Banking system</topic><topic>Banks</topic><topic>Commercial banks</topic><topic>Cost structure</topic><topic>Economic research</topic><topic>Hypotheses</topic><topic>Strategic planning</topic><topic>Studies</topic><topic>Technology</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Brown, Jeffrey A.</creatorcontrib><creatorcontrib>Glennon, Dennis C.</creatorcontrib><collection>RePEc IDEAS</collection><collection>RePEc</collection><collection>CrossRef</collection><collection>Periodicals Index Online Segment 06</collection><collection>Periodicals Index Online Segment 26</collection><collection>Periodicals Index Online</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - West</collection><collection>Primary Sources Access (Plan D) - International</collection><collection>Primary Sources Access & Build (Plan A) - MEA</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - Midwest</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - Northeast</collection><collection>Primary Sources Access (Plan D) - Southeast</collection><collection>Primary Sources Access (Plan D) - North Central</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - Southeast</collection><collection>Primary Sources Access (Plan D) - South Central</collection><collection>Primary Sources Access & Build (Plan A) - UK / I</collection><collection>Primary Sources Access (Plan D) - Canada</collection><collection>Primary Sources Access (Plan D) - EMEALA</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - North Central</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - South Central</collection><collection>Primary Sources Access & Build (Plan A) - International</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - International</collection><collection>Primary Sources Access (Plan D) - West</collection><collection>Periodicals Index Online Segments 1-50</collection><collection>Primary Sources Access (Plan D) - APAC</collection><collection>Primary Sources Access (Plan D) - Midwest</collection><collection>Primary Sources Access (Plan D) - MEA</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - Canada</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - UK / I</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - EMEALA</collection><collection>Primary Sources Access & Build (Plan A) - APAC</collection><collection>Primary Sources Access & Build (Plan A) - Canada</collection><collection>Primary Sources Access & Build (Plan A) - West</collection><collection>Primary Sources Access & Build (Plan A) - EMEALA</collection><collection>Primary Sources Access (Plan D) - Northeast</collection><collection>Primary Sources Access & Build (Plan A) - Midwest</collection><collection>Primary Sources Access & Build (Plan A) - North Central</collection><collection>Primary Sources Access & Build (Plan A) - Northeast</collection><collection>Primary Sources Access & Build (Plan A) - South Central</collection><collection>Primary Sources Access & Build (Plan A) - Southeast</collection><collection>Primary Sources Access (Plan D) - UK / I</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - APAC</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - MEA</collection><collection>International Bibliography of the Social Sciences (IBSS)</collection><collection>International Bibliography of the Social Sciences</collection><collection>International Bibliography of the Social Sciences</collection><jtitle>Applied economics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Brown, Jeffrey A.</au><au>Glennon, Dennis C.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Cost structures of banks grouped by strategic conduct</atitle><jtitle>Applied economics</jtitle><date>2000-10-01</date><risdate>2000</risdate><volume>32</volume><issue>12</issue><spage>1591</spage><epage>1605</epage><pages>1591-1605</pages><issn>0003-6846</issn><eissn>1466-4283</eissn><coden>APPEBP</coden><abstract>The hypothesis that the banking system consists of firms that use the same production technology is tested and rejected in this study. Six groupings of the population of commercial banks are identified using cluster analysis. The banks are grouped to reflect similar production technologies within groups but different technologies across groups as defined by the strategic conduct (i.e., activities) of the banks. The results suggest that banks in different clusters employ production processes that feature different degrees of substitutability between factors of production, and that the estimates of input substitutability for those groups look quite different from those estimated based on the full population of commercial banks. The impact of the homogeneity production technology assumption on the measurement of cost efficiency is also assessed. The results show that partitioning the industry by strategic conduct reduces the average inefficiency in the industry. These results support those found by others who used similar partitioning criteria but a more narrowly defined sample of banks.</abstract><cop>London, etc</cop><pub>Taylor & Francis Group</pub><doi>10.1080/000368400418989</doi><tpages>15</tpages></addata></record> |
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subjects | Applied economics Bank regulation Banking Banking system Banks Commercial banks Cost structure Economic research Hypotheses Strategic planning Studies Technology |
title | Cost structures of banks grouped by strategic conduct |
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