Portfolio theory approach to plan areas for growing cotton, soybean, and corn in Mato Grosso, Brazil

Detalhes bibliográficos
Autor(a) principal: Lima,Fábio Francisco de
Data de Publicação: 2023
Outros Autores: Alves,Lucilio Rogerio Aparecido
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Revista de Economia e Sociologia Rural
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-20032023000300204
Resumo: Abstract: This study aims to describe how cotton farms in the state of Mato Grosso in Brazil are configured by building a model that optimizes income and risk for a combination of crops (cotton [first and second crop], soybean, and corn second crop). Two regions were defined: North and East Central Aggregate. The first region comprises the production of soybean in the summer and cotton and corn in the second harvest, while the second is restricted to the cultivation of cotton and soybean in the summer and corn in the second harvest. An optimization model was used to build a production efficiente frontier of crop combinations by analyzing the return-risk ratio. The model shows that the use of soybean crops in the summer season provides greater gains in profitability. Revenue is maximized in the area by an increase in the cotton crop during the first harvest; however, this exposes the farm to greater production risks. The use of second crops helps mitigate this production risk for farms.
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spelling Portfolio theory approach to plan areas for growing cotton, soybean, and corn in Mato Grosso, BrazilMarkowitzefficiente frontierproduction systemrisk managementagricultural planningAbstract: This study aims to describe how cotton farms in the state of Mato Grosso in Brazil are configured by building a model that optimizes income and risk for a combination of crops (cotton [first and second crop], soybean, and corn second crop). Two regions were defined: North and East Central Aggregate. The first region comprises the production of soybean in the summer and cotton and corn in the second harvest, while the second is restricted to the cultivation of cotton and soybean in the summer and corn in the second harvest. An optimization model was used to build a production efficiente frontier of crop combinations by analyzing the return-risk ratio. The model shows that the use of soybean crops in the summer season provides greater gains in profitability. Revenue is maximized in the area by an increase in the cotton crop during the first harvest; however, this exposes the farm to greater production risks. The use of second crops helps mitigate this production risk for farms.Sociedade Brasileira de Economia e Sociologia Rural2023-03-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-20032023000300204Revista de Economia e Sociologia Rural v.61 n.3 2023reponame:Revista de Economia e Sociologia Ruralinstname:Sociedade Brasileira de Economia e Sociologia Rural (SBESR)instacron:SBESR10.1590/1806-9479.2022.258224info:eu-repo/semantics/openAccessLima,Fábio Francisco deAlves,Lucilio Rogerio Aparecidoeng2022-07-20T00:00:00Zoai:scielo:S0103-20032023000300204Revistahttps://www.revistasober.org/ONGhttps://old.scielo.br/oai/scielo-oai.phpsober@sober.org.br||resr@revistasober.org1806-94790103-2003opendoar:2022-07-20T00:00Revista de Economia e Sociologia Rural - Sociedade Brasileira de Economia e Sociologia Rural (SBESR)false
dc.title.none.fl_str_mv Portfolio theory approach to plan areas for growing cotton, soybean, and corn in Mato Grosso, Brazil
title Portfolio theory approach to plan areas for growing cotton, soybean, and corn in Mato Grosso, Brazil
spellingShingle Portfolio theory approach to plan areas for growing cotton, soybean, and corn in Mato Grosso, Brazil
Lima,Fábio Francisco de
Markowitz
efficiente frontier
production system
risk management
agricultural planning
title_short Portfolio theory approach to plan areas for growing cotton, soybean, and corn in Mato Grosso, Brazil
title_full Portfolio theory approach to plan areas for growing cotton, soybean, and corn in Mato Grosso, Brazil
title_fullStr Portfolio theory approach to plan areas for growing cotton, soybean, and corn in Mato Grosso, Brazil
title_full_unstemmed Portfolio theory approach to plan areas for growing cotton, soybean, and corn in Mato Grosso, Brazil
title_sort Portfolio theory approach to plan areas for growing cotton, soybean, and corn in Mato Grosso, Brazil
author Lima,Fábio Francisco de
author_facet Lima,Fábio Francisco de
Alves,Lucilio Rogerio Aparecido
author_role author
author2 Alves,Lucilio Rogerio Aparecido
author2_role author
dc.contributor.author.fl_str_mv Lima,Fábio Francisco de
Alves,Lucilio Rogerio Aparecido
dc.subject.por.fl_str_mv Markowitz
efficiente frontier
production system
risk management
agricultural planning
topic Markowitz
efficiente frontier
production system
risk management
agricultural planning
description Abstract: This study aims to describe how cotton farms in the state of Mato Grosso in Brazil are configured by building a model that optimizes income and risk for a combination of crops (cotton [first and second crop], soybean, and corn second crop). Two regions were defined: North and East Central Aggregate. The first region comprises the production of soybean in the summer and cotton and corn in the second harvest, while the second is restricted to the cultivation of cotton and soybean in the summer and corn in the second harvest. An optimization model was used to build a production efficiente frontier of crop combinations by analyzing the return-risk ratio. The model shows that the use of soybean crops in the summer season provides greater gains in profitability. Revenue is maximized in the area by an increase in the cotton crop during the first harvest; however, this exposes the farm to greater production risks. The use of second crops helps mitigate this production risk for farms.
publishDate 2023
dc.date.none.fl_str_mv 2023-03-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-20032023000300204
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-20032023000300204
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/1806-9479.2022.258224
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Sociedade Brasileira de Economia e Sociologia Rural
publisher.none.fl_str_mv Sociedade Brasileira de Economia e Sociologia Rural
dc.source.none.fl_str_mv Revista de Economia e Sociologia Rural v.61 n.3 2023
reponame:Revista de Economia e Sociologia Rural
instname:Sociedade Brasileira de Economia e Sociologia Rural (SBESR)
instacron:SBESR
instname_str Sociedade Brasileira de Economia e Sociologia Rural (SBESR)
instacron_str SBESR
institution SBESR
reponame_str Revista de Economia e Sociologia Rural
collection Revista de Economia e Sociologia Rural
repository.name.fl_str_mv Revista de Economia e Sociologia Rural - Sociedade Brasileira de Economia e Sociologia Rural (SBESR)
repository.mail.fl_str_mv sober@sober.org.br||resr@revistasober.org
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