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

Author

Listed:
  • Daniel Laurentino de Jesus Xavier

    (RESUP Research Group, Postgraduate Program in Production Engineering, Universidade Paulista—UNIP, R. Dr. Bacelar, 1212-4fl, São Paulo 04026002, Brazil
    Centro Paula Souza, Faculdade de Tecnologia da Zona Leste, Av. Águia de Haia, 2983, São Paulo 03694-000, Brazil)

  • João Gilberto Mendes dos Reis

    (RESUP Research Group, Postgraduate Program in Production Engineering, Universidade Paulista—UNIP, R. Dr. Bacelar, 1212-4fl, São Paulo 04026002, Brazil
    Social and Applied Sciences Center, Mackenzie Presbyterian University—MPU, Av. Consolação, 930, São Paulo 01302907, Brazil)

  • André Henrique Ivale

    (Postgraduate Program in Production Engineering, Universidade Paulista—UNIP, R. Dr. Bacelar, 1212-4fl, São Paulo 04026002, Brazil)

  • Aparecido Carlos Duarte

    (Postgraduate Program in Production Engineering, Universidade Paulista—UNIP, R. Dr. Bacelar, 1212-4fl, São Paulo 04026002, Brazil)

  • Gabriel Santos Rodrigues

    (RESUP Research Group, Postgraduate Program in Production Engineering, Universidade Paulista—UNIP, R. Dr. Bacelar, 1212-4fl, São Paulo 04026002, Brazil)

  • Jonatas Santos de Souza

    (RESUP Research Group, Postgraduate Program in Production Engineering, Universidade Paulista—UNIP, R. Dr. Bacelar, 1212-4fl, São Paulo 04026002, Brazil)

  • Paula Ferreira da Cruz Correia

    (RESUP Research Group, Postgraduate Program in Production Engineering, Universidade Paulista—UNIP, R. Dr. Bacelar, 1212-4fl, São Paulo 04026002, Brazil)

Abstract

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.

Suggested Citation

  • Daniel Laurentino de Jesus Xavier & João Gilberto Mendes dos Reis & André Henrique Ivale & Aparecido Carlos Duarte & Gabriel Santos Rodrigues & Jonatas Santos de Souza & Paula Ferreira da Cruz Correia, 2023. "Agricultural International Trade by Brazilian Ports: A Study Using Social Network Analysis," Agriculture, MDPI, vol. 13(4), pages 1-13, April.
    • Handle: RePEc:gam:jagris:v:13:y:2023:i:4:p:864-:d:1123265
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    References listed on IDEAS

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    1. Mohammed Saqr & Uno Fors & Jalal Nouri, 2018. "Using social network analysis to understand online Problem-Based Learning and predict performance," PLOS ONE, Public Library of Science, vol. 13(9), pages 1-20, September.
    2. Kristel Vignery & Wim Laurier, 2020. "A methodology and theoretical taxonomy for centrality measures: What are the best centrality indicators for student networks?," PLOS ONE, Public Library of Science, vol. 15(12), pages 1-32, December.
    3. Luiz Antonio Martinelli & Mateus Batistella & Ramon Felipe Bicudo da Silva & Emilio Moran, 2017. "Soy Expansion and Socioeconomic Development in Municipalities of Brazil," Land, MDPI, vol. 6(3), pages 1-14, September.
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