A Multivariate Approach to Determine the Economic Profitability of Sugarcane Production Under Diverse Climatic Conditions in Brazil

Detalhes bibliográficos
Autor(a) principal: Cardozo, Nilceu Piffer [UNESP]
Data de Publicação: 2020
Outros Autores: Bordonal, Ricardo de Oliveira, Panosso, Alan Rodrigo [UNESP], Crusciol, Carlos Alexandre Costa [UNESP]
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1007/s12355-020-00854-7
http://hdl.handle.net/11449/200713
Resumo: The prominent position of sugarcane as a source of renewable and sustainable energy resulted in the expansion of its production into regions under limiting climatic conditions, thus affecting patterns related to growth, ripening, and profitability. This study provides an assessment of the factors that compose the economic return of sugarcane production using a multivariate approach. Monthly data, including total recoverable sugars, price, productivity (for an average of five mechanized harvesting), and rainfall during seven harvest seasons (2011/2012–2017/2018), were used to perform the multivariate statistical analyses considering the climatic conditions of four regions in the state of São Paulo, southeastern Brazil (Araçatuba, Assis, Ribeirão Preto, and Piracicaba). The chosen techniques were hierarchical and non-hierarchical (k-means) cluster analysis and principal component analysis. The data indicated the existence of three groups of months that exhibited different performances: Groups I, II, and III with intermediate, high, and low gross economic returns, respectively. Although group organization presented regional variations, July, August, September, and eventually October (Group II) generally exhibited the best gross economic returns (R$5065.1 ha−1). December and November (Group III) exhibited the lowest economic returns (R$4731.5 ha−1), and April, May, and June (Group I) exhibited intermediate returns that were close to the annual average (R$4829.6 ha−1). Given the territorial extent of Brazil and the significant variations in environmental conditions, the adaptation of sugarcane cultivation and harvesting strategies to the characteristics of each producing region is fundamental for the rational and sustainable exploitation of the crop in the country.
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spelling A Multivariate Approach to Determine the Economic Profitability of Sugarcane Production Under Diverse Climatic Conditions in BrazilBiomass productionCluster analysisIndustrial qualitySaccharum sppStrategic planningThe prominent position of sugarcane as a source of renewable and sustainable energy resulted in the expansion of its production into regions under limiting climatic conditions, thus affecting patterns related to growth, ripening, and profitability. This study provides an assessment of the factors that compose the economic return of sugarcane production using a multivariate approach. Monthly data, including total recoverable sugars, price, productivity (for an average of five mechanized harvesting), and rainfall during seven harvest seasons (2011/2012–2017/2018), were used to perform the multivariate statistical analyses considering the climatic conditions of four regions in the state of São Paulo, southeastern Brazil (Araçatuba, Assis, Ribeirão Preto, and Piracicaba). The chosen techniques were hierarchical and non-hierarchical (k-means) cluster analysis and principal component analysis. The data indicated the existence of three groups of months that exhibited different performances: Groups I, II, and III with intermediate, high, and low gross economic returns, respectively. Although group organization presented regional variations, July, August, September, and eventually October (Group II) generally exhibited the best gross economic returns (R$5065.1 ha−1). December and November (Group III) exhibited the lowest economic returns (R$4731.5 ha−1), and April, May, and June (Group I) exhibited intermediate returns that were close to the annual average (R$4829.6 ha−1). Given the territorial extent of Brazil and the significant variations in environmental conditions, the adaptation of sugarcane cultivation and harvesting strategies to the characteristics of each producing region is fundamental for the rational and sustainable exploitation of the crop in the country.FCA/UNESP – Department of Crop Science and Plant Breeding College of Agricultural Sciences/São Paulo State University, Av. Universitária 3780LNBR/CNPEM – Brazilian Biorenewables National Laboratory/Brazilian Center for Research in Energy and Materials, Rua Giuseppe Máximo Scolfaro 10000, Polo II de Alta TecnologiaFCAV/UNESP – Department of Engineering and Exact Sciences College of Agricultural and Veterinarian Sciences/São Paulo State University, Via de Acesso Prof. Paulo Donato Castellane s/nFCA/UNESP – Department of Crop Science and Plant Breeding College of Agricultural Sciences/São Paulo State University, Av. Universitária 3780FCAV/UNESP – Department of Engineering and Exact Sciences College of Agricultural and Veterinarian Sciences/São Paulo State University, Via de Acesso Prof. Paulo Donato Castellane s/nUniversidade Estadual Paulista (Unesp)LNBR/CNPEM – Brazilian Biorenewables National Laboratory/Brazilian Center for Research in Energy and MaterialsCardozo, Nilceu Piffer [UNESP]Bordonal, Ricardo de OliveiraPanosso, Alan Rodrigo [UNESP]Crusciol, Carlos Alexandre Costa [UNESP]2020-12-12T02:14:01Z2020-12-12T02:14:01Z2020-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://dx.doi.org/10.1007/s12355-020-00854-7Sugar Tech.0974-07400972-1525http://hdl.handle.net/11449/20071310.1007/s12355-020-00854-72-s2.0-85087505902Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengSugar Techinfo:eu-repo/semantics/openAccess2024-06-06T13:43:17Zoai:repositorio.unesp.br:11449/200713Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T19:44:24.899426Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv A Multivariate Approach to Determine the Economic Profitability of Sugarcane Production Under Diverse Climatic Conditions in Brazil
title A Multivariate Approach to Determine the Economic Profitability of Sugarcane Production Under Diverse Climatic Conditions in Brazil
spellingShingle A Multivariate Approach to Determine the Economic Profitability of Sugarcane Production Under Diverse Climatic Conditions in Brazil
Cardozo, Nilceu Piffer [UNESP]
Biomass production
Cluster analysis
Industrial quality
Saccharum spp
Strategic planning
title_short A Multivariate Approach to Determine the Economic Profitability of Sugarcane Production Under Diverse Climatic Conditions in Brazil
title_full A Multivariate Approach to Determine the Economic Profitability of Sugarcane Production Under Diverse Climatic Conditions in Brazil
title_fullStr A Multivariate Approach to Determine the Economic Profitability of Sugarcane Production Under Diverse Climatic Conditions in Brazil
title_full_unstemmed A Multivariate Approach to Determine the Economic Profitability of Sugarcane Production Under Diverse Climatic Conditions in Brazil
title_sort A Multivariate Approach to Determine the Economic Profitability of Sugarcane Production Under Diverse Climatic Conditions in Brazil
author Cardozo, Nilceu Piffer [UNESP]
author_facet Cardozo, Nilceu Piffer [UNESP]
Bordonal, Ricardo de Oliveira
Panosso, Alan Rodrigo [UNESP]
Crusciol, Carlos Alexandre Costa [UNESP]
author_role author
author2 Bordonal, Ricardo de Oliveira
Panosso, Alan Rodrigo [UNESP]
Crusciol, Carlos Alexandre Costa [UNESP]
author2_role author
author
author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (Unesp)
LNBR/CNPEM – Brazilian Biorenewables National Laboratory/Brazilian Center for Research in Energy and Materials
dc.contributor.author.fl_str_mv Cardozo, Nilceu Piffer [UNESP]
Bordonal, Ricardo de Oliveira
Panosso, Alan Rodrigo [UNESP]
Crusciol, Carlos Alexandre Costa [UNESP]
dc.subject.por.fl_str_mv Biomass production
Cluster analysis
Industrial quality
Saccharum spp
Strategic planning
topic Biomass production
Cluster analysis
Industrial quality
Saccharum spp
Strategic planning
description The prominent position of sugarcane as a source of renewable and sustainable energy resulted in the expansion of its production into regions under limiting climatic conditions, thus affecting patterns related to growth, ripening, and profitability. This study provides an assessment of the factors that compose the economic return of sugarcane production using a multivariate approach. Monthly data, including total recoverable sugars, price, productivity (for an average of five mechanized harvesting), and rainfall during seven harvest seasons (2011/2012–2017/2018), were used to perform the multivariate statistical analyses considering the climatic conditions of four regions in the state of São Paulo, southeastern Brazil (Araçatuba, Assis, Ribeirão Preto, and Piracicaba). The chosen techniques were hierarchical and non-hierarchical (k-means) cluster analysis and principal component analysis. The data indicated the existence of three groups of months that exhibited different performances: Groups I, II, and III with intermediate, high, and low gross economic returns, respectively. Although group organization presented regional variations, July, August, September, and eventually October (Group II) generally exhibited the best gross economic returns (R$5065.1 ha−1). December and November (Group III) exhibited the lowest economic returns (R$4731.5 ha−1), and April, May, and June (Group I) exhibited intermediate returns that were close to the annual average (R$4829.6 ha−1). Given the territorial extent of Brazil and the significant variations in environmental conditions, the adaptation of sugarcane cultivation and harvesting strategies to the characteristics of each producing region is fundamental for the rational and sustainable exploitation of the crop in the country.
publishDate 2020
dc.date.none.fl_str_mv 2020-12-12T02:14:01Z
2020-12-12T02:14:01Z
2020-01-01
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://dx.doi.org/10.1007/s12355-020-00854-7
Sugar Tech.
0974-0740
0972-1525
http://hdl.handle.net/11449/200713
10.1007/s12355-020-00854-7
2-s2.0-85087505902
url http://dx.doi.org/10.1007/s12355-020-00854-7
http://hdl.handle.net/11449/200713
identifier_str_mv Sugar Tech.
0974-0740
0972-1525
10.1007/s12355-020-00854-7
2-s2.0-85087505902
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Sugar Tech
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.source.none.fl_str_mv Scopus
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv
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