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.

Storage systems are essential for agricultural production, especially for grain productive chains. However, it is dependent on public and private agents for its viability and maintenance as a service. The present study aims to evaluate how grain storage is being carried out in the different regions of Brazil in relation to the managing economic agents: Private Initiative, Government, Cooperative and Mixed Economy. The methodology for this study makes use of Social Network Analysis that allow investigating the relationships between stored products and the types of economic agents present in each region. The results showed that warehouses often have a wide variation in the types of grain stored and there is a predominant role of the Private Initiative in the management of these storage systems.

The world agriculture market is highly competitive; hence, the use of new approaches to analyze it can provide new insights to understand the factors that determine its competitiveness. This paper aims to investigate the global trade of soybean, soybean cake, and maize. They are listed among the most important commodities worldwide. To do so, we collected 2019 exports of these items from FAO database and analyzed them using the Social Network Analysis (SNA) method. The results showed the following scenarios: Soybeans present high competition between Brazil and the US; China is a shift factor, being responsible for 67% of imports. Soybean cake is shown in the market to have a larger number of buyers; however, Argentina, Brazil, and the US are the main exporters. Brazil and Argentina compete more in European and Asian countries, while the US mostly supplies its neighbors Mexico and Canada. Maize demonstrated the same main exporter players as soybean cake—Brazil, Argentina and the US. Brazil and Argentina compete mainly in European and Asian markets, while the US mostly supplies its neighbors, with the exception of Japan.