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Applying analytic hierarchy process (AHP) to identify decision-making in soybean supply chains

A case of Mato Grosso production

Bibliographic Data

ID4934152
AuthorsRodrigo Carlo Toloi (0000-0001-6320-8894, Instituto Federal de Mato Grosso, Brasil; Universidade Paulista, Brasil), João Gilberto Mendes Dos Reis (0000-0001-6409-2299, Universidade Paulista), Marley Nunes Vituri Toloi (0000-0003-4229-5233, Instituto Federal de Mato Grosso, Brasil; Universidade Paulista, Brasil), Oduvaldo Vendrametto (0000-0003-2430-6138, Universidade Paulista), José António Sarsfield Pereira Cabral (0000-0002-1553-9944, Universidade do Porto)
Year2022
Volume60
Issue2
Publication date2022-01-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueRevista de Economia e Sociologia Rural (JOURNAL)
Journal identifiersISSN: 0103-2003 • E-ISSN: 1806-9479
PublisherFapUNIFESP (SciELO) (PUBLISHER)
DOI10.1590/1806-9479.2021.229595
OpenAlexW3194936833
SCIELO_PIDS0103-20032022000200207
LanguageEN
Citations received1
References cited30

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

Agribusiness · Agricultural science · Agriculture · Analytic hierarchy process · Business · Economics · Empirical research · Geography · Microeconomics · Operations research · Production (economics) · Supply chain · Agricultural and Food Sciences · Environmental Science · Logistics and Infrastructure Analysis · Marketing · Mathematics · Rural Development and Agriculture

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Unique citing works1
Citations per year0,5
Citation span2024 - 2024 (1)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 1

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