Agricultural International Trade by Brazilian Ports: A Study Using Social Network Analysis

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dc.contributor.authorXavier D.L.D.J.
dc.contributor.authorReis J.G.M.D.
dc.contributor.authorIvale A.H.
dc.contributor.authorDuarte A.C.
dc.contributor.authorRodrigues G.S.
dc.contributor.authorSouza J.S.D.
dc.contributor.authorCorreia P.F.D.C.
dc.date.accessioned2024-03-12T19:09:47Z
dc.date.available2024-03-12T19:09:47Z
dc.date.issued2023
dc.description.abstract© 2023 by the authors.Agribusiness trade is a complex network of commercial relations among countries, and it is influenced by on-shore and off-shore logistics. Therefore, it is essential to comprehend these relationships to improve decision-making regarding production and logistical development. This paper investigates Brazilian agricultural and livestock exports between 2013 and 2022 to understand logistical bottlenecks based on trade partners. To do so, we performed descriptive statistics and social network analysis (SNA) considering measures such as degree centrality, k-core, and tie strength. Our results indicate Brazil’s dependency on Asian markets whereby eight of ten are located on this continent. We observe an unexpected result regarding the low purchase of these products byimportant Brazilian partners such as the United States, the UK, and the European Union. Finally, the study confirms the Brazilian logistical bottleneck where two logistical corridors correspond to 76% of all agricultural exports in the period, with Santos, the busiest port, moving more than 46% of the cargo.
dc.description.issuenumber4
dc.description.volume13
dc.identifier.doi10.3390/agriculture13040864
dc.identifier.issn2077-0472
dc.identifier.urihttps://dspace.mackenzie.br/handle/10899/34087
dc.relation.ispartofAgriculture (Switzerland)
dc.rightsAcesso Aberto
dc.subject.otherlanguageagricultural and livestock production
dc.subject.otherlanguagecommodities trade
dc.subject.otherlanguagelogistics systems
dc.subject.otherlanguageSNA
dc.titleAgricultural International Trade by Brazilian Ports: A Study Using Social Network Analysis
dc.typeArtigo
local.scopus.citations2
local.scopus.eid2-s2.0-85153717204
local.scopus.updated2025-04-01
local.scopus.urlhttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85153717204&origin=inward
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