Alocação de risco de demanda em concessões de rodovia

Detalhes bibliográficos
Autor(a) principal: Rangel, Maria Caroline dos Santos
Data de Publicação: 2017
Tipo de documento: Dissertação
Idioma: por
Título da fonte: Repositório Institucional do FGV (FGV Repositório Digital)
Texto Completo: https://hdl.handle.net/10438/19930
Resumo: Any project requiring human cooperation is subject to divergence interests among parties, which can clearly be observed in infrastructure projects. In modern societies, conflicts of interest are usually mitigated by contractual arrangements, in which, if well delineated, provide the right incentives for cooperation. However, contracts are incomplete, especially those of road concessions, characterized by their long duration and high investments, and therefore they are subject to risks. In this scenario of uncertainties, one of the main risks is the demand risk, i.e., the risk of volume of traffic carried out is lower than projected, affecting the continuity and profitability of the project. Therefore, the present evaluates who should bear the risk of demand in road concessions in Brazil: a private entity, which currently supports this risk, a public entity, or both (shared). To answer this question, the Incentive Theory, together with several international case studies, have been analysed. The presente paper categories the need to transfer risk from private to public administration according to the degree of risk criteria, such as demand risk and risk aversion.
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spelling Rangel, Maria Caroline dos SantosEscolas::EPGEFGVGonçalves, Edson Daniel LopesBragança, Gabriel Godofredo Fiuza deCamacho, Fernando Tavares2018-01-17T12:07:29Z2018-01-17T12:07:29Z2017-12-08https://hdl.handle.net/10438/19930Any project requiring human cooperation is subject to divergence interests among parties, which can clearly be observed in infrastructure projects. In modern societies, conflicts of interest are usually mitigated by contractual arrangements, in which, if well delineated, provide the right incentives for cooperation. However, contracts are incomplete, especially those of road concessions, characterized by their long duration and high investments, and therefore they are subject to risks. In this scenario of uncertainties, one of the main risks is the demand risk, i.e., the risk of volume of traffic carried out is lower than projected, affecting the continuity and profitability of the project. Therefore, the present evaluates who should bear the risk of demand in road concessions in Brazil: a private entity, which currently supports this risk, a public entity, or both (shared). To answer this question, the Incentive Theory, together with several international case studies, have been analysed. The presente paper categories the need to transfer risk from private to public administration according to the degree of risk criteria, such as demand risk and risk aversion.Qualquer projeto que exija cooperação humana está sujeito à divergência de interesses entre as partes, o que pode ser claramente observado em projetos de infraestrutura. Em sociedades modernas, os conflitos de interesse são usualmente mitigados por arranjos contratuais, que, se bem delineados, proveem os corretos incentivos para a cooperação. No entanto, contratos são incompletos, especialmente os de concessões rodoviárias, que são caracterizados por seu longo prazo de duração e pelos investimentos elevados, estando, portanto, sujeitos a riscos. Nesse cenário de incertezas, um dos principais riscos é o de demanda, i.e., o risco do volume do tráfego realizado ser inferior ao projetado, afetando a continuidade e rentabilidade do projeto. Dessa forma, o presente estudo tem como objetivo avaliar quem deveria suportar o risco de demanda em concessões rodoviárias no Brasil: o ente privado, quem atualmente suporta majoritariamente este risco, o poder público ou ambos (compartilhado). Para esclarecer este ponto, o tema foi analisado à luz da Teoria dos Incentivos e foram averiguadas as práticas internacionais adotadas. A presente dissertação observou que a alocação de risco de demanda depende do grau do risco e da aversão ao risco dos entes privados.porTraffic riskToll road PPPsRegulationRisco de demandaConcessões de rodoviaRegulaçãoEconomiaRisco (Economia)RodoviasConcessões administrativasAgências reguladoras de atividades privadasAlocação de recursosParceria público-privadaAlocação de risco de demanda em concessões de rodoviainfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisinfo:eu-repo/semantics/openAccessreponame:Repositório Institucional do FGV (FGV Repositório Digital)instname:Fundação Getulio Vargas (FGV)instacron:FGVTEXTDissertação_Rangel (2017).pdf.txtDissertação_Rangel (2017).pdf.txtExtracted texttext/plain248605https://repositorio.fgv.br/bitstreams/4861157a-67cc-4e3d-9387-8cb99297d584/download18f8b009896887ef745a477ebf4c13b0MD54ORIGINALDissertação_Rangel (2017).pdfDissertação_Rangel 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dc.title.por.fl_str_mv Alocação de risco de demanda em concessões de rodovia
title Alocação de risco de demanda em concessões de rodovia
spellingShingle Alocação de risco de demanda em concessões de rodovia
Rangel, Maria Caroline dos Santos
Traffic risk
Toll road PPPs
Regulation
Risco de demanda
Concessões de rodovia
Regulação
Economia
Risco (Economia)
Rodovias
Concessões administrativas
Agências reguladoras de atividades privadas
Alocação de recursos
Parceria público-privada
title_short Alocação de risco de demanda em concessões de rodovia
title_full Alocação de risco de demanda em concessões de rodovia
title_fullStr Alocação de risco de demanda em concessões de rodovia
title_full_unstemmed Alocação de risco de demanda em concessões de rodovia
title_sort Alocação de risco de demanda em concessões de rodovia
author Rangel, Maria Caroline dos Santos
author_facet Rangel, Maria Caroline dos Santos
author_role author
dc.contributor.unidadefgv.por.fl_str_mv Escolas::EPGE
dc.contributor.affiliation.none.fl_str_mv FGV
dc.contributor.member.none.fl_str_mv Gonçalves, Edson Daniel Lopes
Bragança, Gabriel Godofredo Fiuza de
dc.contributor.author.fl_str_mv Rangel, Maria Caroline dos Santos
dc.contributor.advisor1.fl_str_mv Camacho, Fernando Tavares
contributor_str_mv Camacho, Fernando Tavares
dc.subject.eng.fl_str_mv Traffic risk
Toll road PPPs
Regulation
topic Traffic risk
Toll road PPPs
Regulation
Risco de demanda
Concessões de rodovia
Regulação
Economia
Risco (Economia)
Rodovias
Concessões administrativas
Agências reguladoras de atividades privadas
Alocação de recursos
Parceria público-privada
dc.subject.por.fl_str_mv Risco de demanda
Concessões de rodovia
Regulação
dc.subject.area.por.fl_str_mv Economia
dc.subject.bibliodata.por.fl_str_mv Risco (Economia)
Rodovias
Concessões administrativas
Agências reguladoras de atividades privadas
Alocação de recursos
Parceria público-privada
description Any project requiring human cooperation is subject to divergence interests among parties, which can clearly be observed in infrastructure projects. In modern societies, conflicts of interest are usually mitigated by contractual arrangements, in which, if well delineated, provide the right incentives for cooperation. However, contracts are incomplete, especially those of road concessions, characterized by their long duration and high investments, and therefore they are subject to risks. In this scenario of uncertainties, one of the main risks is the demand risk, i.e., the risk of volume of traffic carried out is lower than projected, affecting the continuity and profitability of the project. Therefore, the present evaluates who should bear the risk of demand in road concessions in Brazil: a private entity, which currently supports this risk, a public entity, or both (shared). To answer this question, the Incentive Theory, together with several international case studies, have been analysed. The presente paper categories the need to transfer risk from private to public administration according to the degree of risk criteria, such as demand risk and risk aversion.
publishDate 2017
dc.date.issued.fl_str_mv 2017-12-08
dc.date.accessioned.fl_str_mv 2018-01-17T12:07:29Z
dc.date.available.fl_str_mv 2018-01-17T12:07:29Z
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