Indústria de máquinas agrícolas no Brasil: um modelo para estimação da demanda de tratores para o triênio 2016–2018

Detalhes bibliográficos
Autor(a) principal: Oliveira, Cristiano Dallagassa Gontijo
Data de Publicação: 2016
Tipo de documento: Dissertação
Idioma: por
Título da fonte: Repositório Institucional do FGV (FGV Repositório Digital)
Texto Completo: http://hdl.handle.net/10438/15852
Resumo: The aims of this work was forecast the demand for agricultural tractors in the Brazilian market during the triennium 2016-2018, using for this, techniques of time series econometrics, in this case, univariate models ARIMA and SARIMA and or multivariate models SARIMAX. Justified this research when holding the industry of agricultural machinery in Brazil, given the economic cycles and other external factors to the economic funda-mentals of demand, where it faces many challenges. Among this, demand estimation stands out because exert a strong impact, for example, planning and cost of short and medium term production, inventory levels, in relation to hand materials and suppliers of local labor and consequently in creating value to the shareholders. During literature review it was found several scientific papers address the agribusiness and its various areas, however, they were not found scientific papers published in Brazil that address the demand forecast of agricultural tractors in Brazil, which served as a motivation for add knowledge to the scientific world and value to the Brazilian market. It was concluded after testing with several models that are presented in the text and appendices, the model SARIMA (15, 1, 1) (1, 1, 1) fulfilled the assumptions set out in the specific objectives to choose the model that best fit itself to the data, and then was chosen as the model to forecast the demand for agricultural tractors in Brazil. These results point to a demand for agricultural tractors in Brazil oscillating between 46,000 and 49,000 units per year between the years 2016 and 2018.
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spelling Oliveira, Cristiano Dallagassa GontijoEscolas::EESPGurgel, Ângelo CostaVian, Carlos Eduardo de FreitasOzaki, Vitor AugustoOzaki, Vitor Augusto2016-03-14T16:14:31Z2016-03-14T16:14:31Z2016-02-16OLIVEIRA, Cristiano Dallagassa Gontijo. Indústria de máquinas agrícolas no Brasil: um modelo para estimação da demanda de tratores para o triênio 2016–2018. Dissertação (Mestrado Profissional em Agronegócios) - Escola de Economia de São Paulo, Fundação Getúlio Vargas - FGV, São Paulo, 2016.http://hdl.handle.net/10438/15852The aims of this work was forecast the demand for agricultural tractors in the Brazilian market during the triennium 2016-2018, using for this, techniques of time series econometrics, in this case, univariate models ARIMA and SARIMA and or multivariate models SARIMAX. Justified this research when holding the industry of agricultural machinery in Brazil, given the economic cycles and other external factors to the economic funda-mentals of demand, where it faces many challenges. Among this, demand estimation stands out because exert a strong impact, for example, planning and cost of short and medium term production, inventory levels, in relation to hand materials and suppliers of local labor and consequently in creating value to the shareholders. During literature review it was found several scientific papers address the agribusiness and its various areas, however, they were not found scientific papers published in Brazil that address the demand forecast of agricultural tractors in Brazil, which served as a motivation for add knowledge to the scientific world and value to the Brazilian market. It was concluded after testing with several models that are presented in the text and appendices, the model SARIMA (15, 1, 1) (1, 1, 1) fulfilled the assumptions set out in the specific objectives to choose the model that best fit itself to the data, and then was chosen as the model to forecast the demand for agricultural tractors in Brazil. These results point to a demand for agricultural tractors in Brazil oscillating between 46,000 and 49,000 units per year between the years 2016 and 2018.O objetivo desta dissertação foi estimar a demanda de tratores agrícolas para o mercado brasileiro no triênio 2016-2018, utilizando-se para isto de técnicas de econometria de séries temporais, neste caso, modelos univariados da classe ARIMA e SARIMA e ou multivariados SARIMAX. Justifica-se esta pesquisa quando se observa a indústria de máquinas agrícolas no Brasil, dados os ciclos econômicos e outros fatores exógenos aos fundamentos econômicos da demanda, onde esta enfrenta muitos desafios. Dentre estes, a estimação de demanda se destaca, pois exerce forte impacto, por exemplo, no planejamento e custo de produção de curto e médio prazo, níveis de inventários, na relação com fornecedores de materiais e de mão de obra local, e por consequência na geração de valor para o acionista. Durante a fase de revisão bibliográfica foram encontrados vários trabalhos científicos que abordam o agronegócio e suas diversas áreas de atuação, porém, não foram encontrados trabalhos científicos publicados no Brasil que abordassem a previsão da demanda de tratores agrícolas no Brasil, o que serviu de motivação para agregar conhecimento à academia e valor ao mercado através deste. Concluiu-se, após testes realizados com diversos modelos que estão dispostos no texto e apêndices, que o modelo univariado SARIMA (15,1,1) (1,1,1) cumpriu as premissas estabelecidas nos objetivos específicos para escolha do modelo que melhor se ajusta aos dados, e foi escolhido então, como o modelo para estimação da demanda de tratores agrícolas no Brasil. Os resultados desta pesquisa apontam para uma demanda de tratores agrícolas no Brasil oscilando entre 46.000 e 49.000 unidades ano entre os anos de 2016 e 2018.porEconomiaBox-Jenkins (1970)Modelos univariados e multivariadosEstimação de demandaDemanda de tratores agrícolasEconomiaTratores agrícolas - BrasilEconometriaAnálise de séries temporaisOferta e procuraIndústria de máquinas agrícolas no Brasil: um modelo para estimação da demanda de tratores para o triênio 2016–2018info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisreponame:Repositório Institucional do FGV (FGV Repositório Digital)instname:Fundação Getulio Vargas (FGV)instacron:FGVinfo:eu-repo/semantics/openAccessORIGINALDissertação Cristiano - FORMATADA E REVISADA 12.03 - PDF.pdfDissertação Cristiano - FORMATADA E REVISADA 12.03 - PDF.pdfDissertação de 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UgYXJxdWl2b3Mgw6AgQmlibGlvdGVjYSBWaXJ0dWFsIEZHViwgdm9jw6ogYXRlc3RhIHF1ZSBsZXUgZQpjb25jb3JkYSBpbnRlZ3JhbG1lbnRlIGNvbSBvcyB0ZXJtb3MgYWNpbWEgZGVsaW1pdGFkb3MsIGFzc2luYW5kby1vcwpzZW0gZmF6ZXIgcXVhbHF1ZXIgcmVzZXJ2YSBlIG5vdmFtZW50ZSBjb25maXJtYW5kbyBxdWUgY3VtcHJlIG9zCnJlcXVpc2l0b3MgaW5kaWNhZG9zIG5vIGl0ZW0gMSwgc3VwcmEuCgpIYXZlbmRvIHF1YWxxdWVyIGRpc2NvcmTDom5jaWEgZW0gcmVsYcOnw6NvIGFvcyBwcmVzZW50ZXMgdGVybW9zIG91IG7Do28Kc2UgdmVyaWZpY2FuZG8gbyBleGlnaWRvIG5vIGl0ZW0gMSwgc3VwcmEsIHZvY8OqIGRldmUgaW50ZXJyb21wZXIKaW1lZGlhdGFtZW50ZSBvIHByb2Nlc3NvIGRlIHN1Ym1pc3PDo28uIEEgY29udGludWlkYWRlIGRvIHByb2Nlc3NvCmVxdWl2YWxlIMOgIGFzc2luYXR1cmEgZGVzdGUgZG9jdW1lbnRvLCBjb20gdG9kYXMgYXMgY29uc2Vxw7zDqm5jaWFzIG5lbGUKcHJldmlzdGFzLCBzdWplaXRhbmRvLXNlIG8gc2lnbmF0w6FyaW8gYSBzYW7Dp8O1ZXMgY2l2aXMgZSBjcmltaW5haXMgY2Fzbwpuw6NvIHNlamEgdGl0dWxhciBkb3MgZGlyZWl0b3MgYXV0b3JhaXMgcGF0cmltb25pYWlzIGUvb3UgY29uZXhvcwphcGxpY8OhdmVpcyDDoCBPYnJhIGRlcG9zaXRhZGEgZHVyYW50ZSBlc3RlIHByb2Nlc3NvLCBvdSBjYXNvIG7Do28gdGVuaGEKb2J0aWRvIHByw6l2aWEgZSBleHByZXNzYSBhdXRvcml6YcOnw6NvIGRvIHRpdHVsYXIgcGFyYSBvIGRlcMOzc2l0byBlCnRvZG9zIG9zIHVzb3MgZGEgT2JyYSBlbnZvbHZpZG9zLgoKClBhcmEgYSBzb2x1w6fDo28gZGUgcXVhbHF1ZXIgZMO6dmlkYSBxdWFudG8gYW9zIHRlcm1vcyBkZSBsaWNlbmNpYW1lbnRvIGUKbyBwcm9jZXNzbyBkZSBzdWJtaXNzw6NvLCBjbGlxdWUgbm8gbGluayAiRmFsZSBjb25vc2NvIi4K
dc.title.por.fl_str_mv Indústria de máquinas agrícolas no Brasil: um modelo para estimação da demanda de tratores para o triênio 2016–2018
title Indústria de máquinas agrícolas no Brasil: um modelo para estimação da demanda de tratores para o triênio 2016–2018
spellingShingle Indústria de máquinas agrícolas no Brasil: um modelo para estimação da demanda de tratores para o triênio 2016–2018
Oliveira, Cristiano Dallagassa Gontijo
Economia
Box-Jenkins (1970)
Modelos univariados e multivariados
Estimação de demanda
Demanda de tratores agrícolas
Economia
Tratores agrícolas - Brasil
Econometria
Análise de séries temporais
Oferta e procura
title_short Indústria de máquinas agrícolas no Brasil: um modelo para estimação da demanda de tratores para o triênio 2016–2018
title_full Indústria de máquinas agrícolas no Brasil: um modelo para estimação da demanda de tratores para o triênio 2016–2018
title_fullStr Indústria de máquinas agrícolas no Brasil: um modelo para estimação da demanda de tratores para o triênio 2016–2018
title_full_unstemmed Indústria de máquinas agrícolas no Brasil: um modelo para estimação da demanda de tratores para o triênio 2016–2018
title_sort Indústria de máquinas agrícolas no Brasil: um modelo para estimação da demanda de tratores para o triênio 2016–2018
author Oliveira, Cristiano Dallagassa Gontijo
author_facet Oliveira, Cristiano Dallagassa Gontijo
author_role author
dc.contributor.unidadefgv.por.fl_str_mv Escolas::EESP
dc.contributor.member.none.fl_str_mv Gurgel, Ângelo Costa
Vian, Carlos Eduardo de Freitas
Ozaki, Vitor Augusto
dc.contributor.author.fl_str_mv Oliveira, Cristiano Dallagassa Gontijo
dc.contributor.advisor1.fl_str_mv Ozaki, Vitor Augusto
contributor_str_mv Ozaki, Vitor Augusto
dc.subject.por.fl_str_mv Economia
Box-Jenkins (1970)
Modelos univariados e multivariados
Estimação de demanda
Demanda de tratores agrícolas
topic Economia
Box-Jenkins (1970)
Modelos univariados e multivariados
Estimação de demanda
Demanda de tratores agrícolas
Economia
Tratores agrícolas - Brasil
Econometria
Análise de séries temporais
Oferta e procura
dc.subject.area.por.fl_str_mv Economia
dc.subject.bibliodata.por.fl_str_mv Tratores agrícolas - Brasil
Econometria
Análise de séries temporais
Oferta e procura
description The aims of this work was forecast the demand for agricultural tractors in the Brazilian market during the triennium 2016-2018, using for this, techniques of time series econometrics, in this case, univariate models ARIMA and SARIMA and or multivariate models SARIMAX. Justified this research when holding the industry of agricultural machinery in Brazil, given the economic cycles and other external factors to the economic funda-mentals of demand, where it faces many challenges. Among this, demand estimation stands out because exert a strong impact, for example, planning and cost of short and medium term production, inventory levels, in relation to hand materials and suppliers of local labor and consequently in creating value to the shareholders. During literature review it was found several scientific papers address the agribusiness and its various areas, however, they were not found scientific papers published in Brazil that address the demand forecast of agricultural tractors in Brazil, which served as a motivation for add knowledge to the scientific world and value to the Brazilian market. It was concluded after testing with several models that are presented in the text and appendices, the model SARIMA (15, 1, 1) (1, 1, 1) fulfilled the assumptions set out in the specific objectives to choose the model that best fit itself to the data, and then was chosen as the model to forecast the demand for agricultural tractors in Brazil. These results point to a demand for agricultural tractors in Brazil oscillating between 46,000 and 49,000 units per year between the years 2016 and 2018.
publishDate 2016
dc.date.accessioned.fl_str_mv 2016-03-14T16:14:31Z
dc.date.available.fl_str_mv 2016-03-14T16:14:31Z
dc.date.issued.fl_str_mv 2016-02-16
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/masterThesis
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dc.identifier.citation.fl_str_mv OLIVEIRA, Cristiano Dallagassa Gontijo. Indústria de máquinas agrícolas no Brasil: um modelo para estimação da demanda de tratores para o triênio 2016–2018. Dissertação (Mestrado Profissional em Agronegócios) - Escola de Economia de São Paulo, Fundação Getúlio Vargas - FGV, São Paulo, 2016.
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10438/15852
identifier_str_mv OLIVEIRA, Cristiano Dallagassa Gontijo. Indústria de máquinas agrícolas no Brasil: um modelo para estimação da demanda de tratores para o triênio 2016–2018. Dissertação (Mestrado Profissional em Agronegócios) - Escola de Economia de São Paulo, Fundação Getúlio Vargas - FGV, São Paulo, 2016.
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