Loading…
Environmental determinants of banking efficiency in Austria
The great majority of Austrian banks operate on a regional or local basis and only a few banks provide their services on a national or even international scale. Obviously, the market environments regional or local banks face are different from that of nationwide operating banks. Casual evidence sugg...
Saved in:
Published in: | Empirica 2007-07, Vol.34 (3), p.231-245 |
---|---|
Main Author: | |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
cited_by | cdi_FETCH-LOGICAL-c390y-374cc5d8b118246c2db7588bb7dc838cb67715fd86723609929c56cd4284764a3 |
---|---|
cites | cdi_FETCH-LOGICAL-c390y-374cc5d8b118246c2db7588bb7dc838cb67715fd86723609929c56cd4284764a3 |
container_end_page | 245 |
container_issue | 3 |
container_start_page | 231 |
container_title | Empirica |
container_volume | 34 |
creator | Hahn, Franz Rudolf |
description | The great majority of Austrian banks operate on a regional or local basis and only a few banks provide their services on a national or even international scale. Obviously, the market environments regional or local banks face are different from that of nationwide operating banks. Casual evidence suggests that local markets condition is a very important external determinant of banking efficiency. Thus, not controlling for market conditions may substantially bias the measurement of managerial efficiency particularly of locally operating banks. In this paper we assess the internal technical efficiency (or X-efficiency) of the Austrian banking sector with the focus on environmental and non-controllable factors critical to banking markets. Analytically, we apply a multiple-stage approach based on a slacks-based DEA model (SBM) and a censored regression model, respectively. In order to cope with the inherent dependency problem of DEA-based efficiency analysis when incorporated into regression analysis we apply a Bootstrap estimator. In so doing we attempt to overcome the dependency problem which plagues the power of standard regression analysis based on DEA processed data. The empirical analysis is based on an unbalanced panel of data covering more than 800 Austrian banks ranging over 1995-2002. [PUBLICATION ABSTRACT] |
doi_str_mv | 10.1007/s10663-007-9039-y |
format | article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_36820831</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>36820831</sourcerecordid><originalsourceid>FETCH-LOGICAL-c390y-374cc5d8b118246c2db7588bb7dc838cb67715fd86723609929c56cd4284764a3</originalsourceid><addsrcrecordid>eNpdkMtKxDAUhoMoOF4ewF1x4a6a5KS54GoYxhuCG12HNE01Ok1r0hno25sy4sLFufL9h8OP0AXB1wRjcZMI5hzK3JYKgyqnA7QglYCSK0IO0QIDw6UUjB2jk5Q-McYqDwt0uw47H_vQuTCaTdG40cXOBxPGVPRtUZvw5cN74drWW--CnQofiuU2jdGbM3TUmk1y57_1FL3drV9XD-Xzy_3javlcWlB4KkEwa6tG1oRIyrilTS0qKetaNFaCtDUXglRtI7mgwLFSVNmK24ZRyQRnBk7R1f7uEPvvrUuj7nyybrMxwfXbpIFLiiWQDF7-Az_7bQz5N00zUYHiOENkD9nYpxRdq4foOxMnTbCevdR7L_Xczl7qKWue9proBmf_BF9mcN3go9c7DQZYTlMOOivB-HmXY5hXQDRllf4YO_gBZeZ_Ng</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>220853960</pqid></control><display><type>article</type><title>Environmental determinants of banking efficiency in Austria</title><source>International Bibliography of the Social Sciences (IBSS)</source><source>Business Source Ultimate</source><source>Social Science Premium Collection</source><source>ABI/INFORM Global</source><source>Politics Collection</source><source>Springer Nature</source><source>PAIS Index</source><creator>Hahn, Franz Rudolf</creator><creatorcontrib>Hahn, Franz Rudolf</creatorcontrib><description>The great majority of Austrian banks operate on a regional or local basis and only a few banks provide their services on a national or even international scale. Obviously, the market environments regional or local banks face are different from that of nationwide operating banks. Casual evidence suggests that local markets condition is a very important external determinant of banking efficiency. Thus, not controlling for market conditions may substantially bias the measurement of managerial efficiency particularly of locally operating banks. In this paper we assess the internal technical efficiency (or X-efficiency) of the Austrian banking sector with the focus on environmental and non-controllable factors critical to banking markets. Analytically, we apply a multiple-stage approach based on a slacks-based DEA model (SBM) and a censored regression model, respectively. In order to cope with the inherent dependency problem of DEA-based efficiency analysis when incorporated into regression analysis we apply a Bootstrap estimator. In so doing we attempt to overcome the dependency problem which plagues the power of standard regression analysis based on DEA processed data. The empirical analysis is based on an unbalanced panel of data covering more than 800 Austrian banks ranging over 1995-2002. [PUBLICATION ABSTRACT]</description><identifier>ISSN: 0340-8744</identifier><identifier>EISSN: 1573-6911</identifier><identifier>DOI: 10.1007/s10663-007-9039-y</identifier><language>eng</language><publisher>New York: Springer</publisher><subject>Austria ; Bank management ; Bank operations ; Banking ; Banking industry ; Banking system ; Bootstrap method ; C23 ; C52 ; Data envelopment analysis ; Decision making ; Economic efficiency ; Efficiency ; Efficiency measurement ; Environmental variables ; Estimating techniques ; F36 ; G21 ; G24 ; G34 ; Local finance ; Measurement ; Regression analysis ; Slack adjustment ; Studies ; Variables</subject><ispartof>Empirica, 2007-07, Vol.34 (3), p.231-245</ispartof><rights>Springer Science+Business Media, BV 2007</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c390y-374cc5d8b118246c2db7588bb7dc838cb67715fd86723609929c56cd4284764a3</citedby><cites>FETCH-LOGICAL-c390y-374cc5d8b118246c2db7588bb7dc838cb67715fd86723609929c56cd4284764a3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/220853960/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$H</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/220853960?pq-origsite=primo$$EHTML$$P50$$Gproquest$$H</linktohtml><link.rule.ids>314,780,784,11688,12847,21387,21394,27866,27924,27925,33223,33224,33611,33612,33985,33986,36060,36061,43733,43948,44363,74221,74468,74895</link.rule.ids><backlink>$$Uhttp://econpapers.repec.org/article/kapempiri/v_3a34_3ay_3a2007_3ai_3a3_3ap_3a231-245.htm$$DView record in RePEc$$Hfree_for_read</backlink></links><search><creatorcontrib>Hahn, Franz Rudolf</creatorcontrib><title>Environmental determinants of banking efficiency in Austria</title><title>Empirica</title><description>The great majority of Austrian banks operate on a regional or local basis and only a few banks provide their services on a national or even international scale. Obviously, the market environments regional or local banks face are different from that of nationwide operating banks. Casual evidence suggests that local markets condition is a very important external determinant of banking efficiency. Thus, not controlling for market conditions may substantially bias the measurement of managerial efficiency particularly of locally operating banks. In this paper we assess the internal technical efficiency (or X-efficiency) of the Austrian banking sector with the focus on environmental and non-controllable factors critical to banking markets. Analytically, we apply a multiple-stage approach based on a slacks-based DEA model (SBM) and a censored regression model, respectively. In order to cope with the inherent dependency problem of DEA-based efficiency analysis when incorporated into regression analysis we apply a Bootstrap estimator. In so doing we attempt to overcome the dependency problem which plagues the power of standard regression analysis based on DEA processed data. The empirical analysis is based on an unbalanced panel of data covering more than 800 Austrian banks ranging over 1995-2002. [PUBLICATION ABSTRACT]</description><subject>Austria</subject><subject>Bank management</subject><subject>Bank operations</subject><subject>Banking</subject><subject>Banking industry</subject><subject>Banking system</subject><subject>Bootstrap method</subject><subject>C23</subject><subject>C52</subject><subject>Data envelopment analysis</subject><subject>Decision making</subject><subject>Economic efficiency</subject><subject>Efficiency</subject><subject>Efficiency measurement</subject><subject>Environmental variables</subject><subject>Estimating techniques</subject><subject>F36</subject><subject>G21</subject><subject>G24</subject><subject>G34</subject><subject>Local finance</subject><subject>Measurement</subject><subject>Regression analysis</subject><subject>Slack adjustment</subject><subject>Studies</subject><subject>Variables</subject><issn>0340-8744</issn><issn>1573-6911</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2007</creationdate><recordtype>article</recordtype><sourceid>7TQ</sourceid><sourceid>8BJ</sourceid><sourceid>ALSLI</sourceid><sourceid>DPSOV</sourceid><sourceid>M0C</sourceid><sourceid>M2L</sourceid><recordid>eNpdkMtKxDAUhoMoOF4ewF1x4a6a5KS54GoYxhuCG12HNE01Ok1r0hno25sy4sLFufL9h8OP0AXB1wRjcZMI5hzK3JYKgyqnA7QglYCSK0IO0QIDw6UUjB2jk5Q-McYqDwt0uw47H_vQuTCaTdG40cXOBxPGVPRtUZvw5cN74drWW--CnQofiuU2jdGbM3TUmk1y57_1FL3drV9XD-Xzy_3javlcWlB4KkEwa6tG1oRIyrilTS0qKetaNFaCtDUXglRtI7mgwLFSVNmK24ZRyQRnBk7R1f7uEPvvrUuj7nyybrMxwfXbpIFLiiWQDF7-Az_7bQz5N00zUYHiOENkD9nYpxRdq4foOxMnTbCevdR7L_Xczl7qKWue9proBmf_BF9mcN3go9c7DQZYTlMOOivB-HmXY5hXQDRllf4YO_gBZeZ_Ng</recordid><startdate>200707</startdate><enddate>200707</enddate><creator>Hahn, Franz Rudolf</creator><general>Springer</general><general>Springer Nature B.V</general><scope>DKI</scope><scope>X2L</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>0-V</scope><scope>0U~</scope><scope>1-H</scope><scope>3V.</scope><scope>7TQ</scope><scope>7WY</scope><scope>7WZ</scope><scope>7XB</scope><scope>87Z</scope><scope>8AO</scope><scope>8BJ</scope><scope>8FK</scope><scope>8FL</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ALSLI</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BEZIV</scope><scope>CCPQU</scope><scope>DHY</scope><scope>DON</scope><scope>DPSOV</scope><scope>DWQXO</scope><scope>FQK</scope><scope>FRNLG</scope><scope>F~G</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>JBE</scope><scope>K60</scope><scope>K6~</scope><scope>KC-</scope><scope>L.-</scope><scope>L.0</scope><scope>M0C</scope><scope>M2L</scope><scope>M2O</scope><scope>MBDVC</scope><scope>PQBIZ</scope><scope>PQBZA</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>Q9U</scope></search><sort><creationdate>200707</creationdate><title>Environmental determinants of banking efficiency in Austria</title><author>Hahn, Franz Rudolf</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c390y-374cc5d8b118246c2db7588bb7dc838cb67715fd86723609929c56cd4284764a3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2007</creationdate><topic>Austria</topic><topic>Bank management</topic><topic>Bank operations</topic><topic>Banking</topic><topic>Banking industry</topic><topic>Banking system</topic><topic>Bootstrap method</topic><topic>C23</topic><topic>C52</topic><topic>Data envelopment analysis</topic><topic>Decision making</topic><topic>Economic efficiency</topic><topic>Efficiency</topic><topic>Efficiency measurement</topic><topic>Environmental variables</topic><topic>Estimating techniques</topic><topic>F36</topic><topic>G21</topic><topic>G24</topic><topic>G34</topic><topic>Local finance</topic><topic>Measurement</topic><topic>Regression analysis</topic><topic>Slack adjustment</topic><topic>Studies</topic><topic>Variables</topic><toplevel>online_resources</toplevel><creatorcontrib>Hahn, Franz Rudolf</creatorcontrib><collection>RePEc IDEAS</collection><collection>RePEc</collection><collection>CrossRef</collection><collection>ProQuest Social Sciences Premium Collection</collection><collection>Global News & ABI/Inform Professional</collection><collection>Trade PRO</collection><collection>ProQuest Central (Corporate)</collection><collection>PAIS Index</collection><collection>ABI/INFORM Collection</collection><collection>ABI/INFORM Global (PDF only)</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>ABI/INFORM Global (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>International Bibliography of the Social Sciences (IBSS)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ABI/INFORM Collection (Alumni Edition)</collection><collection>Research Library (Alumni Edition)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Social Science Premium Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Business Premium Collection</collection><collection>ProQuest One Community College</collection><collection>PAIS International</collection><collection>PAIS International (Ovid)</collection><collection>Politics Collection</collection><collection>ProQuest Central Korea</collection><collection>International Bibliography of the Social Sciences</collection><collection>Business Premium Collection (Alumni)</collection><collection>ABI/INFORM Global (Corporate)</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>International Bibliography of the Social Sciences</collection><collection>ProQuest Business Collection (Alumni Edition)</collection><collection>ProQuest Business Collection</collection><collection>ProQuest Politics Collection</collection><collection>ABI/INFORM Professional Advanced</collection><collection>ABI/INFORM Professional Standard</collection><collection>ABI/INFORM Global</collection><collection>Political Science Database</collection><collection>ProQuest research library</collection><collection>Research Library (Corporate)</collection><collection>ProQuest One Business</collection><collection>ProQuest One Business (Alumni)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central Basic</collection><jtitle>Empirica</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Hahn, Franz Rudolf</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Environmental determinants of banking efficiency in Austria</atitle><jtitle>Empirica</jtitle><date>2007-07</date><risdate>2007</risdate><volume>34</volume><issue>3</issue><spage>231</spage><epage>245</epage><pages>231-245</pages><issn>0340-8744</issn><eissn>1573-6911</eissn><abstract>The great majority of Austrian banks operate on a regional or local basis and only a few banks provide their services on a national or even international scale. Obviously, the market environments regional or local banks face are different from that of nationwide operating banks. Casual evidence suggests that local markets condition is a very important external determinant of banking efficiency. Thus, not controlling for market conditions may substantially bias the measurement of managerial efficiency particularly of locally operating banks. In this paper we assess the internal technical efficiency (or X-efficiency) of the Austrian banking sector with the focus on environmental and non-controllable factors critical to banking markets. Analytically, we apply a multiple-stage approach based on a slacks-based DEA model (SBM) and a censored regression model, respectively. In order to cope with the inherent dependency problem of DEA-based efficiency analysis when incorporated into regression analysis we apply a Bootstrap estimator. In so doing we attempt to overcome the dependency problem which plagues the power of standard regression analysis based on DEA processed data. The empirical analysis is based on an unbalanced panel of data covering more than 800 Austrian banks ranging over 1995-2002. [PUBLICATION ABSTRACT]</abstract><cop>New York</cop><pub>Springer</pub><doi>10.1007/s10663-007-9039-y</doi><tpages>15</tpages><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0340-8744 |
ispartof | Empirica, 2007-07, Vol.34 (3), p.231-245 |
issn | 0340-8744 1573-6911 |
language | eng |
recordid | cdi_proquest_miscellaneous_36820831 |
source | International Bibliography of the Social Sciences (IBSS); Business Source Ultimate; Social Science Premium Collection; ABI/INFORM Global; Politics Collection; Springer Nature; PAIS Index |
subjects | Austria Bank management Bank operations Banking Banking industry Banking system Bootstrap method C23 C52 Data envelopment analysis Decision making Economic efficiency Efficiency Efficiency measurement Environmental variables Estimating techniques F36 G21 G24 G34 Local finance Measurement Regression analysis Slack adjustment Studies Variables |
title | Environmental determinants of banking efficiency in Austria |
url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-29T14%3A54%3A32IST&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=Environmental%20determinants%20of%20banking%20efficiency%20in%20Austria&rft.jtitle=Empirica&rft.au=Hahn,%20Franz%20Rudolf&rft.date=2007-07&rft.volume=34&rft.issue=3&rft.spage=231&rft.epage=245&rft.pages=231-245&rft.issn=0340-8744&rft.eissn=1573-6911&rft_id=info:doi/10.1007/s10663-007-9039-y&rft_dat=%3Cproquest_cross%3E36820831%3C/proquest_cross%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c390y-374cc5d8b118246c2db7588bb7dc838cb67715fd86723609929c56cd4284764a3%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=220853960&rft_id=info:pmid/&rfr_iscdi=true |