Mudanças climáticas e agricultura no Brasil: impactos econômicos regionais e por cultivo familiar e patronal

Detalhes bibliográficos
Ano de defesa: 2020
Autor(a) principal: Tarik Marques do Prado Tanure
Orientador(a): Não Informado pela instituição
Banca de defesa: Não Informado pela instituição
Tipo de documento: Tese
Tipo de acesso: Acesso aberto
Idioma: por
Instituição de defesa: Universidade Federal de Minas Gerais
Programa de Pós-Graduação: Não Informado pela instituição
Departamento: Não Informado pela instituição
País: Não Informado pela instituição
Palavras-chave em Português:
Link de acesso: https://hdl.handle.net/1843/33870
Resumo: The phenomenon of climate change affects a variety of aspects, ranging from ecosystem/biological to socioeconomic, involves gradual transformations along an extensive time horizon, causes externalities and expands uncertainties. Agricultural productivity, although determined, to a large extent, by productive factors, is extremely sensitive to temperature and precipitation changes, and therefore vulnerable to the effects of the climatic phenomenon. This thesis analyzes the future impacts of climate change on agricultural productivity of crops linked to family farmers and regular farming in Brazil, and its potential economic effects. The hypothesis that guided the study is that climate change will affect agricultural productivity throughout the 21st century and given this new scenario, crops linked to family farming will be more vulnerable to these effects, both by the lower financial, technical and informational capacity to deal with its effects, and by the lower focus of planning policies and climate adaptation research, which tend to focus on agribusiness-linked crops. Moreover, given the heterogeneity of the Brazilian agriculture and the impacts of climate change on the territory, the need to verify these effects is required, differentiating the impacts on crops and the type of producer. In this sense, the impacts of climate change on the agricultural productivity of family and regular farmers was estimated, using the RCP 4.5 and RCP 8.5 scenarios of global warming projection of the Intergovernmental Panel on Climate Change (IPCC), produced by the National Institute of Spatial Research (INPE), for the periods of 2021/2050 and 2051/2080. The variations in agricultural productivity were used as input in the Computable General Equilibrium (CGE) model developed in this thesis to project the economic impacts resulting from productivity changes. The model called Agriculture Regional Model - AGRO-BR, presents regional configuration composed of the 27 Federation Units and 42 agricultural sectors, disaggregated into family and regular producers. The results obtained indicate that the agricultural productivity of family farmers is more sensitive to climate change. The cassava, corn and bean crops, typical of family farming, would be, on average, impacted by loss of productivity. The sugar cane and soybean plantations would be impacted by productivity gains in the main producing regions. In terms of economic impacts, the North and Northeast regions would be negatively affected, the Midwest and Southeast would suffer moderate impacts, while the South region would benefit mostly. Despite the projections for most of the Federation Units being negative, São Paulo, Paraná and Rio Grande do Sul would show economic growth, mitigating the negative impacts on the national GDP, which would present a small retraction in both scenarios. The results also indicate that the phenomenon could contribute to the increase of intra-regional disparities and to the deterioration of food security conditions in Brazil, since it would negatively affect the less developed regions and the relevant crops for family farmers.
id UFMG_be4a58daaac7fe1df01adea4def8160b
oai_identifier_str oai:repositorio.ufmg.br:1843/33870
network_acronym_str UFMG
network_name_str Repositório Institucional da UFMG
repository_id_str
spelling Mudanças climáticas e agricultura no Brasil: impactos econômicos regionais e por cultivo familiar e patronalAgricultura familiarAgricultura e desenvolvimento econômicoMudanças climáticasMudanças ClimáticasAgricultura FamiliarProdutividade AgrícolaEquilíbrio Geral ComputávelThe phenomenon of climate change affects a variety of aspects, ranging from ecosystem/biological to socioeconomic, involves gradual transformations along an extensive time horizon, causes externalities and expands uncertainties. Agricultural productivity, although determined, to a large extent, by productive factors, is extremely sensitive to temperature and precipitation changes, and therefore vulnerable to the effects of the climatic phenomenon. This thesis analyzes the future impacts of climate change on agricultural productivity of crops linked to family farmers and regular farming in Brazil, and its potential economic effects. The hypothesis that guided the study is that climate change will affect agricultural productivity throughout the 21st century and given this new scenario, crops linked to family farming will be more vulnerable to these effects, both by the lower financial, technical and informational capacity to deal with its effects, and by the lower focus of planning policies and climate adaptation research, which tend to focus on agribusiness-linked crops. Moreover, given the heterogeneity of the Brazilian agriculture and the impacts of climate change on the territory, the need to verify these effects is required, differentiating the impacts on crops and the type of producer. In this sense, the impacts of climate change on the agricultural productivity of family and regular farmers was estimated, using the RCP 4.5 and RCP 8.5 scenarios of global warming projection of the Intergovernmental Panel on Climate Change (IPCC), produced by the National Institute of Spatial Research (INPE), for the periods of 2021/2050 and 2051/2080. The variations in agricultural productivity were used as input in the Computable General Equilibrium (CGE) model developed in this thesis to project the economic impacts resulting from productivity changes. The model called Agriculture Regional Model - AGRO-BR, presents regional configuration composed of the 27 Federation Units and 42 agricultural sectors, disaggregated into family and regular producers. The results obtained indicate that the agricultural productivity of family farmers is more sensitive to climate change. The cassava, corn and bean crops, typical of family farming, would be, on average, impacted by loss of productivity. The sugar cane and soybean plantations would be impacted by productivity gains in the main producing regions. In terms of economic impacts, the North and Northeast regions would be negatively affected, the Midwest and Southeast would suffer moderate impacts, while the South region would benefit mostly. Despite the projections for most of the Federation Units being negative, São Paulo, Paraná and Rio Grande do Sul would show economic growth, mitigating the negative impacts on the national GDP, which would present a small retraction in both scenarios. The results also indicate that the phenomenon could contribute to the increase of intra-regional disparities and to the deterioration of food security conditions in Brazil, since it would negatively affect the less developed regions and the relevant crops for family farmers.CAPES - Coordenação de Aperfeiçoamento de Pessoal de Nível SuperiorUniversidade Federal de Minas Gerais2020-07-28T12:08:51Z2025-09-09T01:14:35Z2020-07-28T12:08:51Z2020-04-08info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/doctoralThesisapplication/pdfhttps://hdl.handle.net/1843/33870porhttp://creativecommons.org/licenses/by-nd/3.0/pt/info:eu-repo/semantics/openAccessTarik Marques do Prado Tanurereponame:Repositório Institucional da UFMGinstname:Universidade Federal de Minas Gerais (UFMG)instacron:UFMG2025-09-09T01:14:35Zoai:repositorio.ufmg.br:1843/33870Repositório InstitucionalPUBhttps://repositorio.ufmg.br/oairepositorio@ufmg.bropendoar:2025-09-09T01:14:35Repositório Institucional da UFMG - Universidade Federal de Minas Gerais (UFMG)false
dc.title.none.fl_str_mv Mudanças climáticas e agricultura no Brasil: impactos econômicos regionais e por cultivo familiar e patronal
title Mudanças climáticas e agricultura no Brasil: impactos econômicos regionais e por cultivo familiar e patronal
spellingShingle Mudanças climáticas e agricultura no Brasil: impactos econômicos regionais e por cultivo familiar e patronal
Tarik Marques do Prado Tanure
Agricultura familiar
Agricultura e desenvolvimento econômico
Mudanças climáticas
Mudanças Climáticas
Agricultura Familiar
Produtividade Agrícola
Equilíbrio Geral Computável
title_short Mudanças climáticas e agricultura no Brasil: impactos econômicos regionais e por cultivo familiar e patronal
title_full Mudanças climáticas e agricultura no Brasil: impactos econômicos regionais e por cultivo familiar e patronal
title_fullStr Mudanças climáticas e agricultura no Brasil: impactos econômicos regionais e por cultivo familiar e patronal
title_full_unstemmed Mudanças climáticas e agricultura no Brasil: impactos econômicos regionais e por cultivo familiar e patronal
title_sort Mudanças climáticas e agricultura no Brasil: impactos econômicos regionais e por cultivo familiar e patronal
author Tarik Marques do Prado Tanure
author_facet Tarik Marques do Prado Tanure
author_role author
dc.contributor.author.fl_str_mv Tarik Marques do Prado Tanure
dc.subject.por.fl_str_mv Agricultura familiar
Agricultura e desenvolvimento econômico
Mudanças climáticas
Mudanças Climáticas
Agricultura Familiar
Produtividade Agrícola
Equilíbrio Geral Computável
topic Agricultura familiar
Agricultura e desenvolvimento econômico
Mudanças climáticas
Mudanças Climáticas
Agricultura Familiar
Produtividade Agrícola
Equilíbrio Geral Computável
description The phenomenon of climate change affects a variety of aspects, ranging from ecosystem/biological to socioeconomic, involves gradual transformations along an extensive time horizon, causes externalities and expands uncertainties. Agricultural productivity, although determined, to a large extent, by productive factors, is extremely sensitive to temperature and precipitation changes, and therefore vulnerable to the effects of the climatic phenomenon. This thesis analyzes the future impacts of climate change on agricultural productivity of crops linked to family farmers and regular farming in Brazil, and its potential economic effects. The hypothesis that guided the study is that climate change will affect agricultural productivity throughout the 21st century and given this new scenario, crops linked to family farming will be more vulnerable to these effects, both by the lower financial, technical and informational capacity to deal with its effects, and by the lower focus of planning policies and climate adaptation research, which tend to focus on agribusiness-linked crops. Moreover, given the heterogeneity of the Brazilian agriculture and the impacts of climate change on the territory, the need to verify these effects is required, differentiating the impacts on crops and the type of producer. In this sense, the impacts of climate change on the agricultural productivity of family and regular farmers was estimated, using the RCP 4.5 and RCP 8.5 scenarios of global warming projection of the Intergovernmental Panel on Climate Change (IPCC), produced by the National Institute of Spatial Research (INPE), for the periods of 2021/2050 and 2051/2080. The variations in agricultural productivity were used as input in the Computable General Equilibrium (CGE) model developed in this thesis to project the economic impacts resulting from productivity changes. The model called Agriculture Regional Model - AGRO-BR, presents regional configuration composed of the 27 Federation Units and 42 agricultural sectors, disaggregated into family and regular producers. The results obtained indicate that the agricultural productivity of family farmers is more sensitive to climate change. The cassava, corn and bean crops, typical of family farming, would be, on average, impacted by loss of productivity. The sugar cane and soybean plantations would be impacted by productivity gains in the main producing regions. In terms of economic impacts, the North and Northeast regions would be negatively affected, the Midwest and Southeast would suffer moderate impacts, while the South region would benefit mostly. Despite the projections for most of the Federation Units being negative, São Paulo, Paraná and Rio Grande do Sul would show economic growth, mitigating the negative impacts on the national GDP, which would present a small retraction in both scenarios. The results also indicate that the phenomenon could contribute to the increase of intra-regional disparities and to the deterioration of food security conditions in Brazil, since it would negatively affect the less developed regions and the relevant crops for family farmers.
publishDate 2020
dc.date.none.fl_str_mv 2020-07-28T12:08:51Z
2020-07-28T12:08:51Z
2020-04-08
2025-09-09T01:14:35Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/doctoralThesis
format doctoralThesis
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://hdl.handle.net/1843/33870
url https://hdl.handle.net/1843/33870
dc.language.iso.fl_str_mv por
language por
dc.rights.driver.fl_str_mv http://creativecommons.org/licenses/by-nd/3.0/pt/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nd/3.0/pt/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidade Federal de Minas Gerais
publisher.none.fl_str_mv Universidade Federal de Minas Gerais
dc.source.none.fl_str_mv reponame:Repositório Institucional da UFMG
instname:Universidade Federal de Minas Gerais (UFMG)
instacron:UFMG
instname_str Universidade Federal de Minas Gerais (UFMG)
instacron_str UFMG
institution UFMG
reponame_str Repositório Institucional da UFMG
collection Repositório Institucional da UFMG
repository.name.fl_str_mv Repositório Institucional da UFMG - Universidade Federal de Minas Gerais (UFMG)
repository.mail.fl_str_mv repositorio@ufmg.br
_version_ 1856414070384623616