Design of experiments applied to environmental variables analysis in electricity utilities efficiency: The Brazilian case
Benchmarking plays a central role in the regulatory scene. Regulators set tariffs according to a performance standard and, if the companies can outperform such a standard, they can retain the gains observed by such outperformance. Efficiency performance is usually assessed by comparison (or a benchm...
Gespeichert in:
Veröffentlicht in: | Energy economics 2014-09, Vol.45, p.111-119 |
---|---|
Hauptverfasser: | , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 119 |
---|---|
container_issue | |
container_start_page | 111 |
container_title | Energy economics |
container_volume | 45 |
creator | Leme, Rafael C. Paiva, Anderson P. Steele Santos, Paulo E. Balestrassi, Pedro P. Galvão, Leandro de Lima |
description | Benchmarking plays a central role in the regulatory scene. Regulators set tariffs according to a performance standard and, if the companies can outperform such a standard, they can retain the gains observed by such outperformance. Efficiency performance is usually assessed by comparison (or a benchmark) against either other companies or the company's own historical performance. This paper discusses the impact of environmental variables on the efficiency performance of electricity distribution companies. Indeed, such variables, which are argued to be unmanageable, may affect the electricity utilities' performance. Thus, this paper proposes a simulation methodology based on design of experiment philosophy for statistically testing environmental variables and the interactions among them, enabling regulators to build the best suited semi-parametric two-stage model of electricity utility benchmarking analysis. To demonstrate the power of the proposed approach, experimental simulations are carried out using real data published by Brazil's regulator. The results show that environmental variables may impact efficiency performance linearly and nonlinearly.
•Environmental variables are studied in efficiency analysis of electricity utility•Statistical regression models the impact of environmental variables•Design of experiments philosophy is considered in the simulation and analysis•The analysis is based on Brazilian electricity distribution network regulation scene |
doi_str_mv | 10.1016/j.eneco.2014.06.017 |
format | Article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_1748858618</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S0140988314001509</els_id><sourcerecordid>1642617668</sourcerecordid><originalsourceid>FETCH-LOGICAL-c592t-bac2d135c4d99b391a61e81a873b0f6a4a28b39de4e88e3826598cd853af92ca3</originalsourceid><addsrcrecordid>eNqNkk9v1DAQxSNEJZaWT8DFEkLikuD_cZA4QGkBqVIv7dmadSbglesEO7sifHqcbsWBA_Rk6c1vxpp5r6peMtowyvTbXYMR3dhwymRDdUNZ-6TaMNOKWjPDnlabUqB1Z4x4Vj3PeUcpVVqZTbV8wuy_RTIOBH9OmPwdxjkTmKbgsSfzSDAefBrjqkMgB0getgELEiEs2WfiI8GAbk7e-Xkh-9kHP_tC4DAUCaNb3pGb70g-JvhVahCJg4xn1ckAIeOLh_e0ur28uDn_Ul9df_56_uGqdqrjc70Fx3smlJN9121Fx0AzNAzKbls6aJDATZF7lGgMCsO16ozrjRIwdNyBOK3eHOdOafyxxzzbO58dhgARx322rJXGKFPu9H9UKyZ5K4V8BCq5Zq3Wj5kqtNSUy7agr_5Cd-M-lUOvFO1UWY6vlDhSLo05JxzsVHyDtFhG7ZoHu7P3ebBrHizVtuShdL1-mA3ZQRgSROfzn1ZesiE0U4V7f-SwmHLwmGy-NxF7n4rLth_9P__5DXZnzHY</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1609526527</pqid></control><display><type>article</type><title>Design of experiments applied to environmental variables analysis in electricity utilities efficiency: The Brazilian case</title><source>Elsevier ScienceDirect Journals Complete</source><source>PAIS Index</source><creator>Leme, Rafael C. ; Paiva, Anderson P. ; Steele Santos, Paulo E. ; Balestrassi, Pedro P. ; Galvão, Leandro de Lima</creator><creatorcontrib>Leme, Rafael C. ; Paiva, Anderson P. ; Steele Santos, Paulo E. ; Balestrassi, Pedro P. ; Galvão, Leandro de Lima</creatorcontrib><description>Benchmarking plays a central role in the regulatory scene. Regulators set tariffs according to a performance standard and, if the companies can outperform such a standard, they can retain the gains observed by such outperformance. Efficiency performance is usually assessed by comparison (or a benchmark) against either other companies or the company's own historical performance. This paper discusses the impact of environmental variables on the efficiency performance of electricity distribution companies. Indeed, such variables, which are argued to be unmanageable, may affect the electricity utilities' performance. Thus, this paper proposes a simulation methodology based on design of experiment philosophy for statistically testing environmental variables and the interactions among them, enabling regulators to build the best suited semi-parametric two-stage model of electricity utility benchmarking analysis. To demonstrate the power of the proposed approach, experimental simulations are carried out using real data published by Brazil's regulator. The results show that environmental variables may impact efficiency performance linearly and nonlinearly.
•Environmental variables are studied in efficiency analysis of electricity utility•Statistical regression models the impact of environmental variables•Design of experiments philosophy is considered in the simulation and analysis•The analysis is based on Brazilian electricity distribution network regulation scene</description><identifier>ISSN: 0140-9883</identifier><identifier>EISSN: 1873-6181</identifier><identifier>DOI: 10.1016/j.eneco.2014.06.017</identifier><identifier>CODEN: EECODR</identifier><language>eng</language><publisher>Amsterdam: Elsevier B.V</publisher><subject>Applied sciences ; Benchmarking ; Brazil ; Brazilians ; Case studies ; Computer simulation ; Data envelopment analysis ; Design of experiments ; Economic data ; Efficiency ; Efficiency Analysis ; Electric energy ; Electric power ; Electric utilities ; Electricity ; Electricity distribution ; Electricity utility ; Energy ; Energy economics ; Energy efficiency ; Energy policy ; Environmental variables ; Exact sciences and technology ; Experiments ; General, economic and professional studies ; Mathematical models ; Methodology. Modelling ; Regulation ; Regulators ; Regulatory agencies ; Studies ; Tariff ; Tariff policy ; Testing ; Utilities</subject><ispartof>Energy economics, 2014-09, Vol.45, p.111-119</ispartof><rights>2014 Elsevier B.V.</rights><rights>2015 INIST-CNRS</rights><rights>Copyright Elsevier Science Ltd. Sep 2014</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c592t-bac2d135c4d99b391a61e81a873b0f6a4a28b39de4e88e3826598cd853af92ca3</citedby><cites>FETCH-LOGICAL-c592t-bac2d135c4d99b391a61e81a873b0f6a4a28b39de4e88e3826598cd853af92ca3</cites><orcidid>0000-0003-2772-0043</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S0140988314001509$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3537,27842,27843,27901,27902,65534</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=28833615$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Leme, Rafael C.</creatorcontrib><creatorcontrib>Paiva, Anderson P.</creatorcontrib><creatorcontrib>Steele Santos, Paulo E.</creatorcontrib><creatorcontrib>Balestrassi, Pedro P.</creatorcontrib><creatorcontrib>Galvão, Leandro de Lima</creatorcontrib><title>Design of experiments applied to environmental variables analysis in electricity utilities efficiency: The Brazilian case</title><title>Energy economics</title><description>Benchmarking plays a central role in the regulatory scene. Regulators set tariffs according to a performance standard and, if the companies can outperform such a standard, they can retain the gains observed by such outperformance. Efficiency performance is usually assessed by comparison (or a benchmark) against either other companies or the company's own historical performance. This paper discusses the impact of environmental variables on the efficiency performance of electricity distribution companies. Indeed, such variables, which are argued to be unmanageable, may affect the electricity utilities' performance. Thus, this paper proposes a simulation methodology based on design of experiment philosophy for statistically testing environmental variables and the interactions among them, enabling regulators to build the best suited semi-parametric two-stage model of electricity utility benchmarking analysis. To demonstrate the power of the proposed approach, experimental simulations are carried out using real data published by Brazil's regulator. The results show that environmental variables may impact efficiency performance linearly and nonlinearly.
•Environmental variables are studied in efficiency analysis of electricity utility•Statistical regression models the impact of environmental variables•Design of experiments philosophy is considered in the simulation and analysis•The analysis is based on Brazilian electricity distribution network regulation scene</description><subject>Applied sciences</subject><subject>Benchmarking</subject><subject>Brazil</subject><subject>Brazilians</subject><subject>Case studies</subject><subject>Computer simulation</subject><subject>Data envelopment analysis</subject><subject>Design of experiments</subject><subject>Economic data</subject><subject>Efficiency</subject><subject>Efficiency Analysis</subject><subject>Electric energy</subject><subject>Electric power</subject><subject>Electric utilities</subject><subject>Electricity</subject><subject>Electricity distribution</subject><subject>Electricity utility</subject><subject>Energy</subject><subject>Energy economics</subject><subject>Energy efficiency</subject><subject>Energy policy</subject><subject>Environmental variables</subject><subject>Exact sciences and technology</subject><subject>Experiments</subject><subject>General, economic and professional studies</subject><subject>Mathematical models</subject><subject>Methodology. Modelling</subject><subject>Regulation</subject><subject>Regulators</subject><subject>Regulatory agencies</subject><subject>Studies</subject><subject>Tariff</subject><subject>Tariff policy</subject><subject>Testing</subject><subject>Utilities</subject><issn>0140-9883</issn><issn>1873-6181</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><sourceid>7TQ</sourceid><recordid>eNqNkk9v1DAQxSNEJZaWT8DFEkLikuD_cZA4QGkBqVIv7dmadSbglesEO7sifHqcbsWBA_Rk6c1vxpp5r6peMtowyvTbXYMR3dhwymRDdUNZ-6TaMNOKWjPDnlabUqB1Z4x4Vj3PeUcpVVqZTbV8wuy_RTIOBH9OmPwdxjkTmKbgsSfzSDAefBrjqkMgB0getgELEiEs2WfiI8GAbk7e-Xkh-9kHP_tC4DAUCaNb3pGb70g-JvhVahCJg4xn1ckAIeOLh_e0ur28uDn_Ul9df_56_uGqdqrjc70Fx3smlJN9121Fx0AzNAzKbls6aJDATZF7lGgMCsO16ozrjRIwdNyBOK3eHOdOafyxxzzbO58dhgARx322rJXGKFPu9H9UKyZ5K4V8BCq5Zq3Wj5kqtNSUy7agr_5Cd-M-lUOvFO1UWY6vlDhSLo05JxzsVHyDtFhG7ZoHu7P3ebBrHizVtuShdL1-mA3ZQRgSROfzn1ZesiE0U4V7f-SwmHLwmGy-NxF7n4rLth_9P__5DXZnzHY</recordid><startdate>20140901</startdate><enddate>20140901</enddate><creator>Leme, Rafael C.</creator><creator>Paiva, Anderson P.</creator><creator>Steele Santos, Paulo E.</creator><creator>Balestrassi, Pedro P.</creator><creator>Galvão, Leandro de Lima</creator><general>Elsevier B.V</general><general>Elsevier</general><general>Elsevier Science Ltd</general><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7ST</scope><scope>7TA</scope><scope>7TQ</scope><scope>8BJ</scope><scope>8FD</scope><scope>C1K</scope><scope>DHY</scope><scope>DON</scope><scope>FQK</scope><scope>JBE</scope><scope>JG9</scope><scope>SOI</scope><scope>FR3</scope><scope>KR7</scope><orcidid>https://orcid.org/0000-0003-2772-0043</orcidid></search><sort><creationdate>20140901</creationdate><title>Design of experiments applied to environmental variables analysis in electricity utilities efficiency: The Brazilian case</title><author>Leme, Rafael C. ; Paiva, Anderson P. ; Steele Santos, Paulo E. ; Balestrassi, Pedro P. ; Galvão, Leandro de Lima</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c592t-bac2d135c4d99b391a61e81a873b0f6a4a28b39de4e88e3826598cd853af92ca3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>Applied sciences</topic><topic>Benchmarking</topic><topic>Brazil</topic><topic>Brazilians</topic><topic>Case studies</topic><topic>Computer simulation</topic><topic>Data envelopment analysis</topic><topic>Design of experiments</topic><topic>Economic data</topic><topic>Efficiency</topic><topic>Efficiency Analysis</topic><topic>Electric energy</topic><topic>Electric power</topic><topic>Electric utilities</topic><topic>Electricity</topic><topic>Electricity distribution</topic><topic>Electricity utility</topic><topic>Energy</topic><topic>Energy economics</topic><topic>Energy efficiency</topic><topic>Energy policy</topic><topic>Environmental variables</topic><topic>Exact sciences and technology</topic><topic>Experiments</topic><topic>General, economic and professional studies</topic><topic>Mathematical models</topic><topic>Methodology. Modelling</topic><topic>Regulation</topic><topic>Regulators</topic><topic>Regulatory agencies</topic><topic>Studies</topic><topic>Tariff</topic><topic>Tariff policy</topic><topic>Testing</topic><topic>Utilities</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Leme, Rafael C.</creatorcontrib><creatorcontrib>Paiva, Anderson P.</creatorcontrib><creatorcontrib>Steele Santos, Paulo E.</creatorcontrib><creatorcontrib>Balestrassi, Pedro P.</creatorcontrib><creatorcontrib>Galvão, Leandro de Lima</creatorcontrib><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Environment Abstracts</collection><collection>Materials Business File</collection><collection>PAIS Index</collection><collection>International Bibliography of the Social Sciences (IBSS)</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>PAIS International</collection><collection>PAIS International (Ovid)</collection><collection>International Bibliography of the Social Sciences</collection><collection>International Bibliography of the Social Sciences</collection><collection>Materials Research Database</collection><collection>Environment Abstracts</collection><collection>Engineering Research Database</collection><collection>Civil Engineering Abstracts</collection><jtitle>Energy economics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Leme, Rafael C.</au><au>Paiva, Anderson P.</au><au>Steele Santos, Paulo E.</au><au>Balestrassi, Pedro P.</au><au>Galvão, Leandro de Lima</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Design of experiments applied to environmental variables analysis in electricity utilities efficiency: The Brazilian case</atitle><jtitle>Energy economics</jtitle><date>2014-09-01</date><risdate>2014</risdate><volume>45</volume><spage>111</spage><epage>119</epage><pages>111-119</pages><issn>0140-9883</issn><eissn>1873-6181</eissn><coden>EECODR</coden><abstract>Benchmarking plays a central role in the regulatory scene. Regulators set tariffs according to a performance standard and, if the companies can outperform such a standard, they can retain the gains observed by such outperformance. Efficiency performance is usually assessed by comparison (or a benchmark) against either other companies or the company's own historical performance. This paper discusses the impact of environmental variables on the efficiency performance of electricity distribution companies. Indeed, such variables, which are argued to be unmanageable, may affect the electricity utilities' performance. Thus, this paper proposes a simulation methodology based on design of experiment philosophy for statistically testing environmental variables and the interactions among them, enabling regulators to build the best suited semi-parametric two-stage model of electricity utility benchmarking analysis. To demonstrate the power of the proposed approach, experimental simulations are carried out using real data published by Brazil's regulator. The results show that environmental variables may impact efficiency performance linearly and nonlinearly.
•Environmental variables are studied in efficiency analysis of electricity utility•Statistical regression models the impact of environmental variables•Design of experiments philosophy is considered in the simulation and analysis•The analysis is based on Brazilian electricity distribution network regulation scene</abstract><cop>Amsterdam</cop><pub>Elsevier B.V</pub><doi>10.1016/j.eneco.2014.06.017</doi><tpages>9</tpages><orcidid>https://orcid.org/0000-0003-2772-0043</orcidid></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0140-9883 |
ispartof | Energy economics, 2014-09, Vol.45, p.111-119 |
issn | 0140-9883 1873-6181 |
language | eng |
recordid | cdi_proquest_miscellaneous_1748858618 |
source | Elsevier ScienceDirect Journals Complete; PAIS Index |
subjects | Applied sciences Benchmarking Brazil Brazilians Case studies Computer simulation Data envelopment analysis Design of experiments Economic data Efficiency Efficiency Analysis Electric energy Electric power Electric utilities Electricity Electricity distribution Electricity utility Energy Energy economics Energy efficiency Energy policy Environmental variables Exact sciences and technology Experiments General, economic and professional studies Mathematical models Methodology. Modelling Regulation Regulators Regulatory agencies Studies Tariff Tariff policy Testing Utilities |
title | Design of experiments applied to environmental variables analysis in electricity utilities efficiency: The Brazilian case |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-21T15%3A16%3A04IST&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=Design%20of%20experiments%20applied%20to%20environmental%20variables%20analysis%20in%20electricity%20utilities%20efficiency:%20The%20Brazilian%20case&rft.jtitle=Energy%20economics&rft.au=Leme,%20Rafael%20C.&rft.date=2014-09-01&rft.volume=45&rft.spage=111&rft.epage=119&rft.pages=111-119&rft.issn=0140-9883&rft.eissn=1873-6181&rft.coden=EECODR&rft_id=info:doi/10.1016/j.eneco.2014.06.017&rft_dat=%3Cproquest_cross%3E1642617668%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1609526527&rft_id=info:pmid/&rft_els_id=S0140988314001509&rfr_iscdi=true |