IDEAS home Printed from https://ideas.repec.org/a/gam/jlogis/v8y2024i2p39-d1372654.html
   My bibliography  Save this article

Impacts of Brazilian Green Coffee Production and Its Logistical Corridors on the International Coffee Market

Author

Listed:
  • Paula Ferreira da Cruz Correia

    (RESUP—Research Group in Logistics and Supply Chain Management, Postgraduate Program in Production Engineering, Universidade Paulista—UNIP, São Paulo 04026-002, Brazil)

  • João Gilberto Mendes dos Reis

    (RESUP—Research Group in Logistics and Supply Chain Management, Postgraduate Program in Production Engineering, Universidade Paulista—UNIP, São Paulo 04026-002, Brazil
    Social and Applied Sciences Center, Mackenzie Presbyterian University—MPU, São Paulo 01302-907, Brazil)

  • Pedro Sanches Amorim

    (Faculty of Engineering, University of Porto—UP, 4200-465 Porto, Portugal)

  • Jaqueline Severino da Costa

    (Department of Agribusiness Management, Federal University of Lavras—UFLA, Lavras 37203-202, Brazil)

  • Márcia Terra da Silva

    (Polytechnic School of Engineering, University of São Paulo—USP, São Paulo 05508-030, Brazil)

Abstract

Background: The coffee industry is one of the most important world supply chains, with an estimated consumption of two billion cups daily, making it the most consumed beverage worldwide. Coffee beans are primarily grown in tropical countries, with Brazil accounting for almost 50% of the production. The objective of this study is to examine the Brazilian trade between 2018 and 2022, focusing on state producers, logistical corridors, and importer countries. Methods: The methodology approach revolves around a quantitative method using Social Network Analysis measures. Results: The results reveal a massive concentration in local production (99.5%—Minas Gerais), port movements (99.9%—Santos, Itaguai, and Rio de Janeiro), and country buyers (80.9%—the United States, United Kingdon, and Japan). Conclusions : The study concludes that the Brazilian green coffee supply chain relies on a fragile and overloaded logistical network. Due to that, this study indicates that the stakeholders and decision-makers involved must consider this high concentration of production in some areas and companies. They must also address the bottlenecks in logistical corridors and the fierce competition involved in acquiring and processing Brazilian coffee production because these factors can drastically affect the revenue of the companies operating in this sector.

Suggested Citation

  • Paula Ferreira da Cruz Correia & João Gilberto Mendes dos Reis & Pedro Sanches Amorim & Jaqueline Severino da Costa & Márcia Terra da Silva, 2024. "Impacts of Brazilian Green Coffee Production and Its Logistical Corridors on the International Coffee Market," Logistics, MDPI, vol. 8(2), pages 1-12, April.
    • Handle: RePEc:gam:jlogis:v:8:y:2024:i:2:p:39-:d:1372654
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2305-6290/8/2/39/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2305-6290/8/2/39/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    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. 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.
    3. 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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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.
    2. Fani Radebe & Michael Kyobe, 2021. "The Response of Social Crime Prevention Police to Cyberbullying Perpetrated by Youth in Rural Areas of South Africa," IJERPH, MDPI, vol. 18(24), pages 1-21, December.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jlogis:v:8:y:2024:i:2:p:39-:d:1372654. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.