Applying analytic hierarchy process (AHP) to identify decision-making in soybean supply chains: a case of Mato Grosso production
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , , , |
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. |
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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 |