An??lise econ??mica do setor de energia el??trica brasileiro: pre??o spot e leil??es de transmiss??o

Detalhes bibliográficos
Ano de defesa: 2016
Autor(a) principal: Silva, Washington Martins da lattes
Orientador(a): Silva Filho, Osvaldo C. da
Banca de defesa: Não Informado pela instituição
Tipo de documento: Tese
Tipo de acesso: Acesso aberto
Idioma: por
Instituição de defesa: Universidade Cat??lica de Bras??lia
Programa de Pós-Graduação: Programa Strictu Sensu em Economia de Empresas
Departamento: Escola de Gest??o e Neg??cios
País: Brasil
Palavras-chave em Português:
Área do conhecimento CNPq:
Resumo em Inglês: This paper aims to examine two topics in the context of growth and modernization of the electricity sector: the short-term energy price and the realization of auctions for construction and operation of electricity transmission assets. In the first analysis was applied a state space model with GARCH volatility to estimate the short-term electricity price explained by the conventional thermal power generation and energy stored seasonally adjusted. The data analyzed refer to the subsystem South East / Central West of the Sistema Interligado Nacional (SIN) between 2001:7-2014:10. The analysis results found evidences that the estimated coefficient for variable thermal generation varies over the sample analyzed and has a statistically significant relationship with the shortterm energy price. On the other hand, although there is statistically significant inverse relationship between the ratio of stored energy with seasonal adjustments and the spot price of electricity, there was no evidence indicating changes in the magnitude of the coefficient over the sample. The period analyzed was disturbed considering that there was a water crisis due to the cooling of the impact of rainfall in reservoir levels, with consequent increase in the volume of thermal power generation. In addition, this paper also analyzes the transmission auctions held in the Brazilian electricity market in the period 1999 to 2015. We used the Endogenouos Switching Regression Model, known as a Roy model, or Tobit type 5 model with copula approach, to analyze the discounts offered in the bids, winners and losers, made by bidders who participated in the auction. This methodological approach is to identify the difference between the proponents and check for evidence of the presence of selectivity, ie influence of unobservable characteristics in the discount offered by tenderers. The results indicated that there is a dependent relationship between the errors of the result function and errors in estimating the selection equation and the best functional form found to the problem was a combination of the copula function "Joe" and "Plackett".
Link de acesso: https://bdtd.ucb.br:8443/jspui/handle/tede/2144
Resumo: This paper aims to examine two topics in the context of growth and modernization of the electricity sector: the short-term energy price and the realization of auctions for construction and operation of electricity transmission assets. In the first analysis was applied a state space model with GARCH volatility to estimate the short-term electricity price explained by the conventional thermal power generation and energy stored seasonally adjusted. The data analyzed refer to the subsystem South East / Central West of the Sistema Interligado Nacional (SIN) between 2001:7-2014:10. The analysis results found evidences that the estimated coefficient for variable thermal generation varies over the sample analyzed and has a statistically significant relationship with the shortterm energy price. On the other hand, although there is statistically significant inverse relationship between the ratio of stored energy with seasonal adjustments and the spot price of electricity, there was no evidence indicating changes in the magnitude of the coefficient over the sample. The period analyzed was disturbed considering that there was a water crisis due to the cooling of the impact of rainfall in reservoir levels, with consequent increase in the volume of thermal power generation. In addition, this paper also analyzes the transmission auctions held in the Brazilian electricity market in the period 1999 to 2015. We used the Endogenouos Switching Regression Model, known as a Roy model, or Tobit type 5 model with copula approach, to analyze the discounts offered in the bids, winners and losers, made by bidders who participated in the auction. This methodological approach is to identify the difference between the proponents and check for evidence of the presence of selectivity, ie influence of unobservable characteristics in the discount offered by tenderers. The results indicated that there is a dependent relationship between the errors of the result function and errors in estimating the selection equation and the best functional form found to the problem was a combination of the copula function "Joe" and "Plackett".
id UCB_a22f181fa5ab57cf66a1177e7a93cd28
oai_identifier_str oai:bdtd.ucb.br:tede/2144
network_acronym_str UCB
network_name_str Biblioteca Digital de Teses e Dissertações da UCB
spelling Silva Filho, Osvaldo C. dahttp://lattes.cnpq.br/9343715132751113Silva, Washington Martins da2017-06-09T16:58:20Z2016-03-31SILVA, Washington Martins da. An??lise econ??mica do setor de energia el??trica brasileiro: pre??o spot e leil??es de transmiss??o. 2016. 70 f. Tese (Programa Stricto Sensu em Economia de Empresas) - Universidade Cat??lica de Bras??lia, Bras??lia, 2016.https://bdtd.ucb.br:8443/jspui/handle/tede/2144This paper aims to examine two topics in the context of growth and modernization of the electricity sector: the short-term energy price and the realization of auctions for construction and operation of electricity transmission assets. In the first analysis was applied a state space model with GARCH volatility to estimate the short-term electricity price explained by the conventional thermal power generation and energy stored seasonally adjusted. The data analyzed refer to the subsystem South East / Central West of the Sistema Interligado Nacional (SIN) between 2001:7-2014:10. The analysis results found evidences that the estimated coefficient for variable thermal generation varies over the sample analyzed and has a statistically significant relationship with the shortterm energy price. On the other hand, although there is statistically significant inverse relationship between the ratio of stored energy with seasonal adjustments and the spot price of electricity, there was no evidence indicating changes in the magnitude of the coefficient over the sample. The period analyzed was disturbed considering that there was a water crisis due to the cooling of the impact of rainfall in reservoir levels, with consequent increase in the volume of thermal power generation. In addition, this paper also analyzes the transmission auctions held in the Brazilian electricity market in the period 1999 to 2015. We used the Endogenouos Switching Regression Model, known as a Roy model, or Tobit type 5 model with copula approach, to analyze the discounts offered in the bids, winners and losers, made by bidders who participated in the auction. This methodological approach is to identify the difference between the proponents and check for evidence of the presence of selectivity, ie influence of unobservable characteristics in the discount offered by tenderers. The results indicated that there is a dependent relationship between the errors of the result function and errors in estimating the selection equation and the best functional form found to the problem was a combination of the copula function "Joe" and "Plackett".Este trabalho tem como objetivo analisar dois t??picos inseridos no contexto de crescimento e moderniza????o do setor de energia el??trica: o pre??o de energia de curto prazo e a realiza????o de leil??es para constru????o e opera????o de ativos de transmiss??o de energia el??trica. Na primeira an??lise foi aplicado um modelo em Espa??o de Estados, com modelagem de volatilidade GARCH, para estimar o pre??o de energia el??trica de curto prazo sendo explicado pela gera????o de energia t??rmica convencional e pela energia armazenada com ajuste sazonal. Os dados analisados referem-se ao subsistema Sudeste/Centro-Oeste, do Sistema Interligado Nacional (SIN), para o per??odo de 2001:7 a 2014:10. Nos resultados da an??lise foram encontradas evid??ncias de que o coeficiente estimado para a vari??vel gera????o t??rmica varia ao longo da amostra analisada e possui rela????o direta e estatisticamente significativa com o pre??o de Energia de curto prazo. Por outro lado, embora exista rela????o inversa e estatisticamente significativa entre o coeficiente da Energia Armazenada com ajustes sazonais e o pre??o spot de energia el??trica, n??o foram encontradas evid??ncias indicando altera????es na magnitude do coeficiente ao longo da amostra. O per??odo analisado foi conturbado considerando que houve uma crise h??drica decorrente do impacto do arrefecimento das precipita????es pluviom??tricas nos n??veis dos reservat??rios, com consequente aumento no volume da gera????o t??rmica de energia. Al??m disso, este trabalho tamb??m analisa os leil??es de transmiss??o realizados no mercado de energia el??trica brasileiro no per??odo de 1999 a 2015. Foi utilizado o Endogenouos Switching Regression Model, conhecido como modelo de Roy, ou modelo Tobit tipo 5, com abordagem de c??pulas, para analisar os des??gios oferecidos nos lances, vencedores e perdedores, realizados pelos proponentes que participaram dos leil??es. Esta abordagem metodol??gica visa identificar o diferencial entre os proponentes, e verificar se existem evidencias de presen??a de seletividade, ou seja, influ??ncia de caracter??sticas n??o-observ??veis no des??gio oferecidos pelos proponentes. Os resultados indicaram que existe rela????o de depend??ncia entre os erros das fun????es de resultado e os erros na estima????o da equa????o de sele????o e que a melhor forma 6 funcional encontrada para o problema foi uma combina????o entre a fun????o c??pula ???Joe??? e ???Plackett???.Submitted by Sara Ribeiro (sara.ribeiro@ucb.br) on 2017-06-09T16:58:04Z No. of bitstreams: 1 WashingtonMartinsdaSilvaTese2016.pdf: 1011628 bytes, checksum: 2748e189905b2f6bfb5c040f50fff9b3 (MD5)Approved for entry into archive by Sara Ribeiro (sara.ribeiro@ucb.br) on 2017-06-09T16:58:20Z (GMT) No. of bitstreams: 1 WashingtonMartinsdaSilvaTese2016.pdf: 1011628 bytes, checksum: 2748e189905b2f6bfb5c040f50fff9b3 (MD5)Made available in DSpace on 2017-06-09T16:58:20Z (GMT). No. of bitstreams: 1 WashingtonMartinsdaSilvaTese2016.pdf: 1011628 bytes, checksum: 2748e189905b2f6bfb5c040f50fff9b3 (MD5) Previous issue date: 2016-03-31application/pdfhttps://bdtd.ucb.br:8443/jspui/retrieve/4636/WashingtonMartinsdaSilvaTese2016.pdf.jpgporUniversidade Cat??lica de Bras??liaPrograma Strictu Sensu em Economia de EmpresasUCBBrasilEscola de Gest??o e Neg??ciosEnergia el??tricaAn??lise econ??micaLeil??esCIENCIAS SOCIAIS APLICADAS::ECONOMIAAn??lise econ??mica do setor de energia el??trica brasileiro: pre??o spot e leil??es de transmiss??oinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/doctoralThesis-1139962560771343510500500600-1917891883403718704-2504903392600098822info:eu-repo/semantics/openAccessreponame:Biblioteca Digital de Teses e Dissertações da UCBinstname:Universidade Católica de Brasíliainstacron:UCBTHUMBNAILWashingtonMartinsdaSilvaTese2016.pdf.jpgWashingtonMartinsdaSilvaTese2016.pdf.jpgimage/jpeg5501https://bdtd.ucb.br:8443/jspui/bitstream/tede/2144/4/WashingtonMartinsdaSilvaTese2016.pdf.jpg64177e28f9fa9086afff4bf3456b067fMD54TEXTWashingtonMartinsdaSilvaTese2016.pdf.txtWashingtonMartinsdaSilvaTese2016.pdf.txttext/plain143973https://bdtd.ucb.br:8443/jspui/bitstream/tede/2144/3/WashingtonMartinsdaSilvaTese2016.pdf.txt348c67598d16a77dd3536576c1916d21MD53ORIGINALWashingtonMartinsdaSilvaTese2016.pdfWashingtonMartinsdaSilvaTese2016.pdfapplication/pdf1011628https://bdtd.ucb.br:8443/jspui/bitstream/tede/2144/2/WashingtonMartinsdaSilvaTese2016.pdf2748e189905b2f6bfb5c040f50fff9b3MD52LICENSElicense.txtlicense.txttext/plain; charset=utf-82048https://bdtd.ucb.br:8443/jspui/bitstream/tede/2144/1/license.txt76cd1e6bdecb11e4b12c81d5fe0f87b3MD51tede/2144oai:bdtd.ucb.br:tede/21442017-06-10 01:03:35.861Biblioteca Digital de Disserta????es da Universidade Cat??lica de Bras??lia - UCBsdi@ucb.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
dc.title.por.fl_str_mv An??lise econ??mica do setor de energia el??trica brasileiro: pre??o spot e leil??es de transmiss??o
title An??lise econ??mica do setor de energia el??trica brasileiro: pre??o spot e leil??es de transmiss??o
spellingShingle An??lise econ??mica do setor de energia el??trica brasileiro: pre??o spot e leil??es de transmiss??o
Silva, Washington Martins da
Energia el??trica
An??lise econ??mica
Leil??es
CIENCIAS SOCIAIS APLICADAS::ECONOMIA
title_short An??lise econ??mica do setor de energia el??trica brasileiro: pre??o spot e leil??es de transmiss??o
title_full An??lise econ??mica do setor de energia el??trica brasileiro: pre??o spot e leil??es de transmiss??o
title_fullStr An??lise econ??mica do setor de energia el??trica brasileiro: pre??o spot e leil??es de transmiss??o
title_full_unstemmed An??lise econ??mica do setor de energia el??trica brasileiro: pre??o spot e leil??es de transmiss??o
title_sort An??lise econ??mica do setor de energia el??trica brasileiro: pre??o spot e leil??es de transmiss??o
author Silva, Washington Martins da
author_facet Silva, Washington Martins da
author_role author
dc.contributor.advisor1.fl_str_mv Silva Filho, Osvaldo C. da
dc.contributor.authorLattes.fl_str_mv http://lattes.cnpq.br/9343715132751113
dc.contributor.author.fl_str_mv Silva, Washington Martins da
contributor_str_mv Silva Filho, Osvaldo C. da
dc.subject.por.fl_str_mv Energia el??trica
An??lise econ??mica
Leil??es
topic Energia el??trica
An??lise econ??mica
Leil??es
CIENCIAS SOCIAIS APLICADAS::ECONOMIA
dc.subject.cnpq.fl_str_mv CIENCIAS SOCIAIS APLICADAS::ECONOMIA
dc.description.abstract.eng.fl_txt_mv This paper aims to examine two topics in the context of growth and modernization of the electricity sector: the short-term energy price and the realization of auctions for construction and operation of electricity transmission assets. In the first analysis was applied a state space model with GARCH volatility to estimate the short-term electricity price explained by the conventional thermal power generation and energy stored seasonally adjusted. The data analyzed refer to the subsystem South East / Central West of the Sistema Interligado Nacional (SIN) between 2001:7-2014:10. The analysis results found evidences that the estimated coefficient for variable thermal generation varies over the sample analyzed and has a statistically significant relationship with the shortterm energy price. On the other hand, although there is statistically significant inverse relationship between the ratio of stored energy with seasonal adjustments and the spot price of electricity, there was no evidence indicating changes in the magnitude of the coefficient over the sample. The period analyzed was disturbed considering that there was a water crisis due to the cooling of the impact of rainfall in reservoir levels, with consequent increase in the volume of thermal power generation. In addition, this paper also analyzes the transmission auctions held in the Brazilian electricity market in the period 1999 to 2015. We used the Endogenouos Switching Regression Model, known as a Roy model, or Tobit type 5 model with copula approach, to analyze the discounts offered in the bids, winners and losers, made by bidders who participated in the auction. This methodological approach is to identify the difference between the proponents and check for evidence of the presence of selectivity, ie influence of unobservable characteristics in the discount offered by tenderers. The results indicated that there is a dependent relationship between the errors of the result function and errors in estimating the selection equation and the best functional form found to the problem was a combination of the copula function "Joe" and "Plackett".
dc.description.abstract.por.fl_txt_mv Este trabalho tem como objetivo analisar dois t??picos inseridos no contexto de crescimento e moderniza????o do setor de energia el??trica: o pre??o de energia de curto prazo e a realiza????o de leil??es para constru????o e opera????o de ativos de transmiss??o de energia el??trica. Na primeira an??lise foi aplicado um modelo em Espa??o de Estados, com modelagem de volatilidade GARCH, para estimar o pre??o de energia el??trica de curto prazo sendo explicado pela gera????o de energia t??rmica convencional e pela energia armazenada com ajuste sazonal. Os dados analisados referem-se ao subsistema Sudeste/Centro-Oeste, do Sistema Interligado Nacional (SIN), para o per??odo de 2001:7 a 2014:10. Nos resultados da an??lise foram encontradas evid??ncias de que o coeficiente estimado para a vari??vel gera????o t??rmica varia ao longo da amostra analisada e possui rela????o direta e estatisticamente significativa com o pre??o de Energia de curto prazo. Por outro lado, embora exista rela????o inversa e estatisticamente significativa entre o coeficiente da Energia Armazenada com ajustes sazonais e o pre??o spot de energia el??trica, n??o foram encontradas evid??ncias indicando altera????es na magnitude do coeficiente ao longo da amostra. O per??odo analisado foi conturbado considerando que houve uma crise h??drica decorrente do impacto do arrefecimento das precipita????es pluviom??tricas nos n??veis dos reservat??rios, com consequente aumento no volume da gera????o t??rmica de energia. Al??m disso, este trabalho tamb??m analisa os leil??es de transmiss??o realizados no mercado de energia el??trica brasileiro no per??odo de 1999 a 2015. Foi utilizado o Endogenouos Switching Regression Model, conhecido como modelo de Roy, ou modelo Tobit tipo 5, com abordagem de c??pulas, para analisar os des??gios oferecidos nos lances, vencedores e perdedores, realizados pelos proponentes que participaram dos leil??es. Esta abordagem metodol??gica visa identificar o diferencial entre os proponentes, e verificar se existem evidencias de presen??a de seletividade, ou seja, influ??ncia de caracter??sticas n??o-observ??veis no des??gio oferecidos pelos proponentes. Os resultados indicaram que existe rela????o de depend??ncia entre os erros das fun????es de resultado e os erros na estima????o da equa????o de sele????o e que a melhor forma 6 funcional encontrada para o problema foi uma combina????o entre a fun????o c??pula ???Joe??? e ???Plackett???.
description This paper aims to examine two topics in the context of growth and modernization of the electricity sector: the short-term energy price and the realization of auctions for construction and operation of electricity transmission assets. In the first analysis was applied a state space model with GARCH volatility to estimate the short-term electricity price explained by the conventional thermal power generation and energy stored seasonally adjusted. The data analyzed refer to the subsystem South East / Central West of the Sistema Interligado Nacional (SIN) between 2001:7-2014:10. The analysis results found evidences that the estimated coefficient for variable thermal generation varies over the sample analyzed and has a statistically significant relationship with the shortterm energy price. On the other hand, although there is statistically significant inverse relationship between the ratio of stored energy with seasonal adjustments and the spot price of electricity, there was no evidence indicating changes in the magnitude of the coefficient over the sample. The period analyzed was disturbed considering that there was a water crisis due to the cooling of the impact of rainfall in reservoir levels, with consequent increase in the volume of thermal power generation. In addition, this paper also analyzes the transmission auctions held in the Brazilian electricity market in the period 1999 to 2015. We used the Endogenouos Switching Regression Model, known as a Roy model, or Tobit type 5 model with copula approach, to analyze the discounts offered in the bids, winners and losers, made by bidders who participated in the auction. This methodological approach is to identify the difference between the proponents and check for evidence of the presence of selectivity, ie influence of unobservable characteristics in the discount offered by tenderers. The results indicated that there is a dependent relationship between the errors of the result function and errors in estimating the selection equation and the best functional form found to the problem was a combination of the copula function "Joe" and "Plackett".
publishDate 2016
dc.date.issued.fl_str_mv 2016-03-31
dc.date.accessioned.fl_str_mv 2017-06-09T16:58:20Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/doctoralThesis
status_str publishedVersion
format doctoralThesis
dc.identifier.citation.fl_str_mv SILVA, Washington Martins da. An??lise econ??mica do setor de energia el??trica brasileiro: pre??o spot e leil??es de transmiss??o. 2016. 70 f. Tese (Programa Stricto Sensu em Economia de Empresas) - Universidade Cat??lica de Bras??lia, Bras??lia, 2016.
dc.identifier.uri.fl_str_mv https://bdtd.ucb.br:8443/jspui/handle/tede/2144
identifier_str_mv SILVA, Washington Martins da. An??lise econ??mica do setor de energia el??trica brasileiro: pre??o spot e leil??es de transmiss??o. 2016. 70 f. Tese (Programa Stricto Sensu em Economia de Empresas) - Universidade Cat??lica de Bras??lia, Bras??lia, 2016.
url https://bdtd.ucb.br:8443/jspui/handle/tede/2144
dc.language.iso.fl_str_mv por
language por
dc.relation.program.fl_str_mv -1139962560771343510
dc.relation.confidence.fl_str_mv 500
500
600
dc.relation.department.fl_str_mv -1917891883403718704
dc.relation.cnpq.fl_str_mv -2504903392600098822
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidade Cat??lica de Bras??lia
dc.publisher.program.fl_str_mv Programa Strictu Sensu em Economia de Empresas
dc.publisher.initials.fl_str_mv UCB
dc.publisher.country.fl_str_mv Brasil
dc.publisher.department.fl_str_mv Escola de Gest??o e Neg??cios
publisher.none.fl_str_mv Universidade Cat??lica de Bras??lia
dc.source.none.fl_str_mv reponame:Biblioteca Digital de Teses e Dissertações da UCB
instname:Universidade Católica de Brasília
instacron:UCB
reponame_str Biblioteca Digital de Teses e Dissertações da UCB
collection Biblioteca Digital de Teses e Dissertações da UCB
instname_str Universidade Católica de Brasília
instacron_str UCB
institution UCB
bitstream.url.fl_str_mv https://bdtd.ucb.br:8443/jspui/bitstream/tede/2144/4/WashingtonMartinsdaSilvaTese2016.pdf.jpg
https://bdtd.ucb.br:8443/jspui/bitstream/tede/2144/3/WashingtonMartinsdaSilvaTese2016.pdf.txt
https://bdtd.ucb.br:8443/jspui/bitstream/tede/2144/2/WashingtonMartinsdaSilvaTese2016.pdf
https://bdtd.ucb.br:8443/jspui/bitstream/tede/2144/1/license.txt
bitstream.checksum.fl_str_mv 64177e28f9fa9086afff4bf3456b067f
348c67598d16a77dd3536576c1916d21
2748e189905b2f6bfb5c040f50fff9b3
76cd1e6bdecb11e4b12c81d5fe0f87b3
bitstream.checksumAlgorithm.fl_str_mv MD5
MD5
MD5
MD5
repository.name.fl_str_mv Biblioteca Digital de Disserta????es da Universidade Cat??lica de Bras??lia - UCB
repository.mail.fl_str_mv sdi@ucb.br
_version_ 1643299708035137536