Applying analytic hierarchy process (AHP) to identify decision-making in soybean supply chains: a case of Mato Grosso production

Detalhes bibliográficos
Autor(a) principal: Toloi,Rodrigo Carlo
Data de Publicação: 2022
Outros Autores: Reis,João Gilberto Mendes dos, Toloi,Marley Nunes Vituri, Vendrametto,Oduvaldo, Cabral,José António Sarsfield Pereira
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=S0103-20032022000200207
Resumo: Abstract: This paper aims to identify and analyze the factors that influence the decision of Mato Grosso’s farmers to produce soybean using the Analytic Hierarchy Process (AHP). We found evidence that decision-making of soybean production is related to rural production aspects such as climate, financing, cost of inputs, and soil quality rather than marketing and logistics. The novelty of this paper is the empirical analysis of the decision-making in agricultural production using AHP. The decision model was created and tested considering 21 farmers and 19 experts linked to the soybean production. Three different scenarios were considered: farmers' view, experts' view, and combined view. Our findings indicate that farmers and experts agree with rural aspects are predominant in the decision to plant soybean. Moreover, logistics have been used as an important flag of soybean competitiveness on international trade by soybean stakeholders in Brazil. However, our results show that logistics impact in the soybean decision-making process is low. Due to data limitation access, this study focuses only on Mato Grosso. However, this study has an exploratory character and presents empirical results that may help to understand soybean production over the country.
id SBESR-1_8969c7ad361bdd5c526cb53fa885401c
oai_identifier_str oai:scielo:S0103-20032022000200207
network_acronym_str SBESR-1
network_name_str Revista de Economia e Sociologia Rural
repository_id_str
spelling Applying analytic hierarchy process (AHP) to identify decision-making in soybean supply chains: a case of Mato Grosso productionAnalytic Hierarchy Process - AHPsoybean production supply chainsagricultural productiondecision-makingfood productionAbstract: This paper aims to identify and analyze the factors that influence the decision of Mato Grosso’s farmers to produce soybean using the Analytic Hierarchy Process (AHP). We found evidence that decision-making of soybean production is related to rural production aspects such as climate, financing, cost of inputs, and soil quality rather than marketing and logistics. The novelty of this paper is the empirical analysis of the decision-making in agricultural production using AHP. The decision model was created and tested considering 21 farmers and 19 experts linked to the soybean production. Three different scenarios were considered: farmers' view, experts' view, and combined view. Our findings indicate that farmers and experts agree with rural aspects are predominant in the decision to plant soybean. Moreover, logistics have been used as an important flag of soybean competitiveness on international trade by soybean stakeholders in Brazil. However, our results show that logistics impact in the soybean decision-making process is low. Due to data limitation access, this study focuses only on Mato Grosso. However, this study has an exploratory character and presents empirical results that may help to understand soybean production over the country.Sociedade Brasileira de Economia e Sociologia Rural2022-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-20032022000200207Revista de Economia e Sociologia Rural v.60 n.2 2022reponame:Revista de Economia e Sociologia Ruralinstname:Sociedade Brasileira de Economia e Sociologia Rural (SBESR)instacron:SBESR10.1590/1806-9479.2021.229595info:eu-repo/semantics/openAccessToloi,Rodrigo CarloReis,João Gilberto Mendes dosToloi,Marley Nunes VituriVendrametto,OduvaldoCabral,José António Sarsfield Pereiraeng2021-08-18T00:00:00Zoai:scielo:S0103-20032022000200207Revistahttps://www.revistasober.org/ONGhttps://old.scielo.br/oai/scielo-oai.phpsober@sober.org.br||resr@revistasober.org1806-94790103-2003opendoar:2021-08-18T00:00Revista de Economia e Sociologia Rural - Sociedade Brasileira de Economia e Sociologia Rural (SBESR)false
dc.title.none.fl_str_mv Applying analytic hierarchy process (AHP) to identify decision-making in soybean supply chains: a case of Mato Grosso production
title Applying analytic hierarchy process (AHP) to identify decision-making in soybean supply chains: a case of Mato Grosso production
spellingShingle Applying analytic hierarchy process (AHP) to identify decision-making in soybean supply chains: a case of Mato Grosso production
Toloi,Rodrigo Carlo
Analytic Hierarchy Process - AHP
soybean production supply chains
agricultural production
decision-making
food production
title_short Applying analytic hierarchy process (AHP) to identify decision-making in soybean supply chains: a case of Mato Grosso production
title_full Applying analytic hierarchy process (AHP) to identify decision-making in soybean supply chains: a case of Mato Grosso production
title_fullStr Applying analytic hierarchy process (AHP) to identify decision-making in soybean supply chains: a case of Mato Grosso production
title_full_unstemmed Applying analytic hierarchy process (AHP) to identify decision-making in soybean supply chains: a case of Mato Grosso production
title_sort Applying analytic hierarchy process (AHP) to identify decision-making in soybean supply chains: a case of Mato Grosso production
author Toloi,Rodrigo Carlo
author_facet Toloi,Rodrigo Carlo
Reis,João Gilberto Mendes dos
Toloi,Marley Nunes Vituri
Vendrametto,Oduvaldo
Cabral,José António Sarsfield Pereira
author_role author
author2 Reis,João Gilberto Mendes dos
Toloi,Marley Nunes Vituri
Vendrametto,Oduvaldo
Cabral,José António Sarsfield Pereira
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Toloi,Rodrigo Carlo
Reis,João Gilberto Mendes dos
Toloi,Marley Nunes Vituri
Vendrametto,Oduvaldo
Cabral,José António Sarsfield Pereira
dc.subject.por.fl_str_mv Analytic Hierarchy Process - AHP
soybean production supply chains
agricultural production
decision-making
food production
topic Analytic Hierarchy Process - AHP
soybean production supply chains
agricultural production
decision-making
food production
description Abstract: This paper aims to identify and analyze the factors that influence the decision of Mato Grosso’s farmers to produce soybean using the Analytic Hierarchy Process (AHP). We found evidence that decision-making of soybean production is related to rural production aspects such as climate, financing, cost of inputs, and soil quality rather than marketing and logistics. The novelty of this paper is the empirical analysis of the decision-making in agricultural production using AHP. The decision model was created and tested considering 21 farmers and 19 experts linked to the soybean production. Three different scenarios were considered: farmers' view, experts' view, and combined view. Our findings indicate that farmers and experts agree with rural aspects are predominant in the decision to plant soybean. Moreover, logistics have been used as an important flag of soybean competitiveness on international trade by soybean stakeholders in Brazil. However, our results show that logistics impact in the soybean decision-making process is low. Due to data limitation access, this study focuses only on Mato Grosso. However, this study has an exploratory character and presents empirical results that may help to understand soybean production over the country.
publishDate 2022
dc.date.none.fl_str_mv 2022-01-01
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=S0103-20032022000200207
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-20032022000200207
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/1806-9479.2021.229595
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.60 n.2 2022
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
_version_ 1752122558608572416