Loading…

The Cost Efficiency of the Brazilian Electricity Distribution Utilities: A Comparison of Bayesian SFA and DEA Models

The purpose of this study is to evaluate the efficiency indices for 60 Brazilian electricity distribution utilities. These scores are obtained by DEA (Data Envelopment Analysis) and Bayesian Stochastic Frontier Analysis models, two techniques that can reduce the information asymmetry and improve the...

Full description

Saved in:
Bibliographic Details
Published in:Mathematical Problems in Engineering 2010-01, Vol.2010 (1), p.957-976-157
Main Authors: Pereira de Souza, Marcus Vinicius, Diallo, Madiagne, Castro Souza, Reinaldo, Baidya, Tara Keshar Nanda
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-a503t-6d892a9661abd3ab10920204837f8a6dde82483d3e0b98c125afcdf9e7a37daf3
cites cdi_FETCH-LOGICAL-a503t-6d892a9661abd3ab10920204837f8a6dde82483d3e0b98c125afcdf9e7a37daf3
container_end_page 976-157
container_issue 1
container_start_page 957
container_title Mathematical Problems in Engineering
container_volume 2010
creator Pereira de Souza, Marcus Vinicius
Diallo, Madiagne
Castro Souza, Reinaldo
Baidya, Tara Keshar Nanda
description The purpose of this study is to evaluate the efficiency indices for 60 Brazilian electricity distribution utilities. These scores are obtained by DEA (Data Envelopment Analysis) and Bayesian Stochastic Frontier Analysis models, two techniques that can reduce the information asymmetry and improve the regulator's skill to compare the performance of the utilities, a fundamental aspect in incentive regulation schemes. In addition, this paper also addresses the problem of identifying outliers and influential observations in deterministic nonparametric DEA models.
doi_str_mv 10.1155/2010/593059
format article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_855688400</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><airiti_id>P20161117002_201012_201703230019_201703230019_957_976_157</airiti_id><sourcerecordid>2287220311</sourcerecordid><originalsourceid>FETCH-LOGICAL-a503t-6d892a9661abd3ab10920204837f8a6dde82483d3e0b98c125afcdf9e7a37daf3</originalsourceid><addsrcrecordid>eNqFkV1rFDEUhgexYK1e-QeCN4Iy9pxk8uXddrtVoWLBFrwL2UlCU2Zn1iSLbH99sx1B9KZX5-s5b8J7muYNwkdEzk8pIJxyzYDrZ80xcsFajp18XnOgXYuU_XzRvMz5DoAiR3XclOtbT5ZTLmQVQuyjH_s9mQIptX2W7H0coh3JavB9SXVc9uQ85pqudyVOI7kpFSjR509kUWU2W5tirv2qcGb3Ph-Wf1wsiB0dOV8tyLfJ-SG_ao6CHbJ__SeeNDcXq-vll_by--evy8Vlazmw0gqnNLVaCLRrx-waQVOg0Ckmg7LCOa9oLRzzsNaqR8pt6F3QXlomnQ3spHk3627T9GvnczGbmHs_DHb00y4bxblQqgOo5Nv_yLtpl8b6uQoJUB2nokIfZqhPU87JB7NNcWPT3iCYg__m4L-Z_a_0-5m-jaOzv-MT8NUM25iqn39fv6qUQERZL_a4gY9BAqMMAPW_hebSaCkMcskeACDrmRE</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>856084526</pqid></control><display><type>article</type><title>The Cost Efficiency of the Brazilian Electricity Distribution Utilities: A Comparison of Bayesian SFA and DEA Models</title><source>Open Access: Wiley-Blackwell Open Access Journals</source><source>Publicly Available Content Database</source><source>IngentaConnect Journals</source><creator>Pereira de Souza, Marcus Vinicius ; Diallo, Madiagne ; Castro Souza, Reinaldo ; Baidya, Tara Keshar Nanda</creator><contributor>Hong, Wei-Chiang</contributor><creatorcontrib>Pereira de Souza, Marcus Vinicius ; Diallo, Madiagne ; Castro Souza, Reinaldo ; Baidya, Tara Keshar Nanda ; Hong, Wei-Chiang</creatorcontrib><description>The purpose of this study is to evaluate the efficiency indices for 60 Brazilian electricity distribution utilities. These scores are obtained by DEA (Data Envelopment Analysis) and Bayesian Stochastic Frontier Analysis models, two techniques that can reduce the information asymmetry and improve the regulator's skill to compare the performance of the utilities, a fundamental aspect in incentive regulation schemes. In addition, this paper also addresses the problem of identifying outliers and influential observations in deterministic nonparametric DEA models.</description><identifier>ISSN: 1024-123X</identifier><identifier>EISSN: 1563-5147</identifier><identifier>DOI: 10.1155/2010/593059</identifier><language>eng</language><publisher>New York: Hindawi Limiteds</publisher><subject>Asymmetry ; Bayesian analysis ; Brazil ; Cluster analysis ; Computational efficiency ; Computing time ; Conjoint analysis ; Control ; Cost analysis ; Costs ; Data analysis ; Data envelopment analysis ; Discounted cash flow ; Efficiency ; Electric power distribution ; Electric utilities ; Electricity ; Linear programming ; Mathematical models ; Outliers (statistics) ; Skewed distributions ; Studies ; Utilities</subject><ispartof>Mathematical Problems in Engineering, 2010-01, Vol.2010 (1), p.957-976-157</ispartof><rights>Copyright © 2010 Marcus Vinicius Pereira de Souza et al.</rights><rights>Copyright © 2010 Marcus Vinicius Pereira de Souza et al. Marcus Vinicius Pereira de Souza et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-a503t-6d892a9661abd3ab10920204837f8a6dde82483d3e0b98c125afcdf9e7a37daf3</citedby><cites>FETCH-LOGICAL-a503t-6d892a9661abd3ab10920204837f8a6dde82483d3e0b98c125afcdf9e7a37daf3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/856084526/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/856084526?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>314,780,784,25753,27924,27925,37012,37013,44590,75126</link.rule.ids></links><search><contributor>Hong, Wei-Chiang</contributor><creatorcontrib>Pereira de Souza, Marcus Vinicius</creatorcontrib><creatorcontrib>Diallo, Madiagne</creatorcontrib><creatorcontrib>Castro Souza, Reinaldo</creatorcontrib><creatorcontrib>Baidya, Tara Keshar Nanda</creatorcontrib><title>The Cost Efficiency of the Brazilian Electricity Distribution Utilities: A Comparison of Bayesian SFA and DEA Models</title><title>Mathematical Problems in Engineering</title><description>The purpose of this study is to evaluate the efficiency indices for 60 Brazilian electricity distribution utilities. These scores are obtained by DEA (Data Envelopment Analysis) and Bayesian Stochastic Frontier Analysis models, two techniques that can reduce the information asymmetry and improve the regulator's skill to compare the performance of the utilities, a fundamental aspect in incentive regulation schemes. In addition, this paper also addresses the problem of identifying outliers and influential observations in deterministic nonparametric DEA models.</description><subject>Asymmetry</subject><subject>Bayesian analysis</subject><subject>Brazil</subject><subject>Cluster analysis</subject><subject>Computational efficiency</subject><subject>Computing time</subject><subject>Conjoint analysis</subject><subject>Control</subject><subject>Cost analysis</subject><subject>Costs</subject><subject>Data analysis</subject><subject>Data envelopment analysis</subject><subject>Discounted cash flow</subject><subject>Efficiency</subject><subject>Electric power distribution</subject><subject>Electric utilities</subject><subject>Electricity</subject><subject>Linear programming</subject><subject>Mathematical models</subject><subject>Outliers (statistics)</subject><subject>Skewed distributions</subject><subject>Studies</subject><subject>Utilities</subject><issn>1024-123X</issn><issn>1563-5147</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2010</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><recordid>eNqFkV1rFDEUhgexYK1e-QeCN4Iy9pxk8uXddrtVoWLBFrwL2UlCU2Zn1iSLbH99sx1B9KZX5-s5b8J7muYNwkdEzk8pIJxyzYDrZ80xcsFajp18XnOgXYuU_XzRvMz5DoAiR3XclOtbT5ZTLmQVQuyjH_s9mQIptX2W7H0coh3JavB9SXVc9uQ85pqudyVOI7kpFSjR509kUWU2W5tirv2qcGb3Ph-Wf1wsiB0dOV8tyLfJ-SG_ao6CHbJ__SeeNDcXq-vll_by--evy8Vlazmw0gqnNLVaCLRrx-waQVOg0Ckmg7LCOa9oLRzzsNaqR8pt6F3QXlomnQ3spHk3627T9GvnczGbmHs_DHb00y4bxblQqgOo5Nv_yLtpl8b6uQoJUB2nokIfZqhPU87JB7NNcWPT3iCYg__m4L-Z_a_0-5m-jaOzv-MT8NUM25iqn39fv6qUQERZL_a4gY9BAqMMAPW_hebSaCkMcskeACDrmRE</recordid><startdate>20100101</startdate><enddate>20100101</enddate><creator>Pereira de Souza, Marcus Vinicius</creator><creator>Diallo, Madiagne</creator><creator>Castro Souza, Reinaldo</creator><creator>Baidya, Tara Keshar Nanda</creator><general>Hindawi Limiteds</general><general>Hindawi Publishing Corporation</general><general>Hindawi Limited</general><scope>188</scope><scope>RHU</scope><scope>RHW</scope><scope>RHX</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7TB</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>CWDGH</scope><scope>DWQXO</scope><scope>FR3</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>JQ2</scope><scope>K7-</scope><scope>KR7</scope><scope>L6V</scope><scope>M7S</scope><scope>P5Z</scope><scope>P62</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope></search><sort><creationdate>20100101</creationdate><title>The Cost Efficiency of the Brazilian Electricity Distribution Utilities: A Comparison of Bayesian SFA and DEA Models</title><author>Pereira de Souza, Marcus Vinicius ; Diallo, Madiagne ; Castro Souza, Reinaldo ; Baidya, Tara Keshar Nanda</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a503t-6d892a9661abd3ab10920204837f8a6dde82483d3e0b98c125afcdf9e7a37daf3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2010</creationdate><topic>Asymmetry</topic><topic>Bayesian analysis</topic><topic>Brazil</topic><topic>Cluster analysis</topic><topic>Computational efficiency</topic><topic>Computing time</topic><topic>Conjoint analysis</topic><topic>Control</topic><topic>Cost analysis</topic><topic>Costs</topic><topic>Data analysis</topic><topic>Data envelopment analysis</topic><topic>Discounted cash flow</topic><topic>Efficiency</topic><topic>Electric power distribution</topic><topic>Electric utilities</topic><topic>Electricity</topic><topic>Linear programming</topic><topic>Mathematical models</topic><topic>Outliers (statistics)</topic><topic>Skewed distributions</topic><topic>Studies</topic><topic>Utilities</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Pereira de Souza, Marcus Vinicius</creatorcontrib><creatorcontrib>Diallo, Madiagne</creatorcontrib><creatorcontrib>Castro Souza, Reinaldo</creatorcontrib><creatorcontrib>Baidya, Tara Keshar Nanda</creatorcontrib><collection>Airiti Library</collection><collection>Hindawi Publishing Complete</collection><collection>Hindawi Publishing Subscription Journals</collection><collection>Hindawi Publishing Open Access</collection><collection>CrossRef</collection><collection>Mechanical &amp; Transportation Engineering Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>Materials Science &amp; Engineering Collection</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>Advanced Technologies &amp; Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>Middle East &amp; Africa Database</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Computer Science Collection</collection><collection>Computer Science Database</collection><collection>Civil Engineering Abstracts</collection><collection>ProQuest Engineering Collection</collection><collection>Engineering Database</collection><collection>Advanced Technologies &amp; Aerospace Database</collection><collection>ProQuest Advanced Technologies &amp; Aerospace Collection</collection><collection>Publicly Available Content Database</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 China</collection><collection>Engineering Collection</collection><jtitle>Mathematical Problems in Engineering</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Pereira de Souza, Marcus Vinicius</au><au>Diallo, Madiagne</au><au>Castro Souza, Reinaldo</au><au>Baidya, Tara Keshar Nanda</au><au>Hong, Wei-Chiang</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The Cost Efficiency of the Brazilian Electricity Distribution Utilities: A Comparison of Bayesian SFA and DEA Models</atitle><jtitle>Mathematical Problems in Engineering</jtitle><date>2010-01-01</date><risdate>2010</risdate><volume>2010</volume><issue>1</issue><spage>957</spage><epage>976-157</epage><pages>957-976-157</pages><issn>1024-123X</issn><eissn>1563-5147</eissn><abstract>The purpose of this study is to evaluate the efficiency indices for 60 Brazilian electricity distribution utilities. These scores are obtained by DEA (Data Envelopment Analysis) and Bayesian Stochastic Frontier Analysis models, two techniques that can reduce the information asymmetry and improve the regulator's skill to compare the performance of the utilities, a fundamental aspect in incentive regulation schemes. In addition, this paper also addresses the problem of identifying outliers and influential observations in deterministic nonparametric DEA models.</abstract><cop>New York</cop><pub>Hindawi Limiteds</pub><doi>10.1155/2010/593059</doi><tpages>20</tpages><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 1024-123X
ispartof Mathematical Problems in Engineering, 2010-01, Vol.2010 (1), p.957-976-157
issn 1024-123X
1563-5147
language eng
recordid cdi_proquest_miscellaneous_855688400
source Open Access: Wiley-Blackwell Open Access Journals; Publicly Available Content Database; IngentaConnect Journals
subjects Asymmetry
Bayesian analysis
Brazil
Cluster analysis
Computational efficiency
Computing time
Conjoint analysis
Control
Cost analysis
Costs
Data analysis
Data envelopment analysis
Discounted cash flow
Efficiency
Electric power distribution
Electric utilities
Electricity
Linear programming
Mathematical models
Outliers (statistics)
Skewed distributions
Studies
Utilities
title The Cost Efficiency of the Brazilian Electricity Distribution Utilities: A Comparison of Bayesian SFA and DEA Models
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-02T21%3A29%3A26IST&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=The%20Cost%20Efficiency%20of%20the%20Brazilian%20Electricity%20Distribution%20Utilities:%20A%20Comparison%20of%20Bayesian%20SFA%20and%20DEA%20Models&rft.jtitle=Mathematical%20Problems%20in%20Engineering&rft.au=Pereira%20de%20Souza,%20Marcus%20Vinicius&rft.date=2010-01-01&rft.volume=2010&rft.issue=1&rft.spage=957&rft.epage=976-157&rft.pages=957-976-157&rft.issn=1024-123X&rft.eissn=1563-5147&rft_id=info:doi/10.1155/2010/593059&rft_dat=%3Cproquest_cross%3E2287220311%3C/proquest_cross%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-a503t-6d892a9661abd3ab10920204837f8a6dde82483d3e0b98c125afcdf9e7a37daf3%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=856084526&rft_id=info:pmid/&rft_airiti_id=P20161117002_201012_201703230019_201703230019_957_976_157&rfr_iscdi=true