Hybrid method for benchmarking the operating costs of Brazilian energy distributors
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Publication Date: | 2024 |
Other Authors: | |
Format: | Article |
Language: | eng |
Source: | GEPROS. Gestão da Produção. Operações e Sistemas |
Download full: | https://revista.feb.unesp.br/gepros/article/view/3021 |
Summary: | Purpose: This study aims to propose a model for benchmarking evaluation, applied to the Brazilian regulatory system in establishing efficient operating costs for electricity distribution concessionaires. Theoretical framework: The application of data envelopment analysis to the regulation of electrical energy distribution is discussed, elucidating how different regulatory models accompany this modality. Methodology: The proposed methodology is based on a benchmarking evaluation model that integrates the associated use of Data Envelopment Analysis and Stochastic Frontier Analysis, through a methodology that establishes the evaluation of efficiency in Three Stages. Findings: The results of the performance assessment were expressed in terms of management efficiency, in which the effects of the operational environment and statistical noise are controlled, resulting in a rigorous measure of efficiency, by introducing manageable and unmanageable variables into the calculation directly from efficiency. Originality: The methodology allows to adjust operational costs, by levelling the operating environment of each electricity distribution concessionaire before repeating the DEA analysis, making the concessionaires' performance more coherent with the characteristics of the Brazilian market. |
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Hybrid method for benchmarking the operating costs of Brazilian energy distributorsElectricity DistributionEfficient Operating CostsBenchmarkingData Envelopment Analysis (DEA)Stochastic Frontier Analysis (SFA)Purpose: This study aims to propose a model for benchmarking evaluation, applied to the Brazilian regulatory system in establishing efficient operating costs for electricity distribution concessionaires. Theoretical framework: The application of data envelopment analysis to the regulation of electrical energy distribution is discussed, elucidating how different regulatory models accompany this modality. Methodology: The proposed methodology is based on a benchmarking evaluation model that integrates the associated use of Data Envelopment Analysis and Stochastic Frontier Analysis, through a methodology that establishes the evaluation of efficiency in Three Stages. Findings: The results of the performance assessment were expressed in terms of management efficiency, in which the effects of the operational environment and statistical noise are controlled, resulting in a rigorous measure of efficiency, by introducing manageable and unmanageable variables into the calculation directly from efficiency. Originality: The methodology allows to adjust operational costs, by levelling the operating environment of each electricity distribution concessionaire before repeating the DEA analysis, making the concessionaires' performance more coherent with the characteristics of the Brazilian market.Purpose: This study aims to propose a model for benchmarking evaluation, applied to the Brazilian regulatory system in establishing efficient operating costs for electricity distribution concessionaires. Theoretical framework: The application of data envelopment analysis to the regulation of electrical energy distribution is discussed, elucidating how different regulatory models accompany this modality. Methodology: The proposed methodology is based on a benchmarking evaluation model that integrates the associated use of Data Envelopment Analysis and Stochastic Frontier Analysis, through a methodology that establishes the evaluation of efficiency in Three Stages. Findings: The results of the performance assessment were expressed in terms of management efficiency, in which the effects of the operational environment and statistical noise are controlled, resulting in a rigorous measure of efficiency, by introducing manageable and unmanageable variables into the calculation directly from efficiency. Originality: The methodology allows to adjust operational costs, by levelling the operating environment of each electricity distribution concessionaire before repeating the DEA analysis, making the concessionaires' performance more coherent with the characteristics of the Brazilian market. Keywords: Electricity Distribution; Efficient Operating Costs; Benchmarking; Data Envelopment Analysis (DEA); Stochastic Frontier Analysis (SFA).A Fundacao para o Desenvolvimento de Bauru (FunDeB)2024-09-23info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://revista.feb.unesp.br/gepros/article/view/302110.15675/gepros.3021Revista Gestão da Produção Operações e Sistemas; v. 1 (2024)1984-2430reponame:GEPROS. Gestão da Produção. Operações e Sistemasinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPenghttps://revista.feb.unesp.br/gepros/article/view/3021/2002Copyright (c) 2024 Luís Filipe Azevedo de Oliveira, Mariana Rodrigues de Almeidahttp://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessAzevedo de Oliveira, Luís FilipeRodrigues de Almeida, Mariana2024-09-24T16:28:40Zoai:ojs.gepros.emnuvens.com.br:article/3021Revistahttps://revista.feb.unesp.br/geprosPUBhttps://revista.feb.unesp.br/gepros/oaigepros@feb.unesp.br||abjabbour@feb.unesp.br1984-24301809-614Xopendoar:2024-09-24T16:28:40GEPROS. Gestão da Produção. Operações e Sistemas - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Hybrid method for benchmarking the operating costs of Brazilian energy distributors |
title |
Hybrid method for benchmarking the operating costs of Brazilian energy distributors |
spellingShingle |
Hybrid method for benchmarking the operating costs of Brazilian energy distributors Azevedo de Oliveira, Luís Filipe Electricity Distribution Efficient Operating Costs Benchmarking Data Envelopment Analysis (DEA) Stochastic Frontier Analysis (SFA) |
title_short |
Hybrid method for benchmarking the operating costs of Brazilian energy distributors |
title_full |
Hybrid method for benchmarking the operating costs of Brazilian energy distributors |
title_fullStr |
Hybrid method for benchmarking the operating costs of Brazilian energy distributors |
title_full_unstemmed |
Hybrid method for benchmarking the operating costs of Brazilian energy distributors |
title_sort |
Hybrid method for benchmarking the operating costs of Brazilian energy distributors |
author |
Azevedo de Oliveira, Luís Filipe |
author_facet |
Azevedo de Oliveira, Luís Filipe Rodrigues de Almeida, Mariana |
author_role |
author |
author2 |
Rodrigues de Almeida, Mariana |
author2_role |
author |
dc.contributor.author.fl_str_mv |
Azevedo de Oliveira, Luís Filipe Rodrigues de Almeida, Mariana |
dc.subject.por.fl_str_mv |
Electricity Distribution Efficient Operating Costs Benchmarking Data Envelopment Analysis (DEA) Stochastic Frontier Analysis (SFA) |
topic |
Electricity Distribution Efficient Operating Costs Benchmarking Data Envelopment Analysis (DEA) Stochastic Frontier Analysis (SFA) |
description |
Purpose: This study aims to propose a model for benchmarking evaluation, applied to the Brazilian regulatory system in establishing efficient operating costs for electricity distribution concessionaires. Theoretical framework: The application of data envelopment analysis to the regulation of electrical energy distribution is discussed, elucidating how different regulatory models accompany this modality. Methodology: The proposed methodology is based on a benchmarking evaluation model that integrates the associated use of Data Envelopment Analysis and Stochastic Frontier Analysis, through a methodology that establishes the evaluation of efficiency in Three Stages. Findings: The results of the performance assessment were expressed in terms of management efficiency, in which the effects of the operational environment and statistical noise are controlled, resulting in a rigorous measure of efficiency, by introducing manageable and unmanageable variables into the calculation directly from efficiency. Originality: The methodology allows to adjust operational costs, by levelling the operating environment of each electricity distribution concessionaire before repeating the DEA analysis, making the concessionaires' performance more coherent with the characteristics of the Brazilian market. |
publishDate |
2024 |
dc.date.none.fl_str_mv |
2024-09-23 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://revista.feb.unesp.br/gepros/article/view/3021 10.15675/gepros.3021 |
url |
https://revista.feb.unesp.br/gepros/article/view/3021 |
identifier_str_mv |
10.15675/gepros.3021 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
https://revista.feb.unesp.br/gepros/article/view/3021/2002 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2024 Luís Filipe Azevedo de Oliveira, Mariana Rodrigues de Almeida http://creativecommons.org/licenses/by/4.0 info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2024 Luís Filipe Azevedo de Oliveira, Mariana Rodrigues de Almeida http://creativecommons.org/licenses/by/4.0 |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
A Fundacao para o Desenvolvimento de Bauru (FunDeB) |
publisher.none.fl_str_mv |
A Fundacao para o Desenvolvimento de Bauru (FunDeB) |
dc.source.none.fl_str_mv |
Revista Gestão da Produção Operações e Sistemas; v. 1 (2024) 1984-2430 reponame:GEPROS. Gestão da Produção. Operações e Sistemas instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
GEPROS. Gestão da Produção. Operações e Sistemas |
collection |
GEPROS. Gestão da Produção. Operações e Sistemas |
repository.name.fl_str_mv |
GEPROS. Gestão da Produção. Operações e Sistemas - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
gepros@feb.unesp.br||abjabbour@feb.unesp.br |
_version_ |
1824500436184334336 |