Agricultural International Trade by Brazilian Ports: A Study Using Social Network Analysis
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...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-04-01
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| Series: | Agriculture |
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| Online Access: | https://www.mdpi.com/2077-0472/13/4/864 |
| _version_ | 1797606776462376960 |
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| author | 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 |
| author_facet | 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 |
| author_sort | Daniel Laurentino de Jesus Xavier |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-11T05:20:51Z |
| format | Article |
| id | doaj.art-63394634a1584e78ba5165c0d6a58c76 |
| institution | Directory Open Access Journal |
| issn | 2077-0472 |
| language | English |
| last_indexed | 2024-03-11T05:20:51Z |
| publishDate | 2023-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Agriculture |
| spelling | doaj.art-63394634a1584e78ba5165c0d6a58c762023-11-17T17:54:34ZengMDPI AGAgriculture2077-04722023-04-0113486410.3390/agriculture13040864Agricultural International Trade by Brazilian Ports: A Study Using Social Network AnalysisDaniel Laurentino de Jesus Xavier0João Gilberto Mendes dos Reis1André Henrique Ivale2Aparecido Carlos Duarte3Gabriel Santos Rodrigues4Jonatas Santos de Souza5Paula Ferreira da Cruz Correia6RESUP Research Group, Postgraduate Program in Production Engineering, Universidade Paulista—UNIP, R. Dr. Bacelar, 1212-4fl, São Paulo 04026002, BrazilRESUP Research Group, Postgraduate Program in Production Engineering, Universidade Paulista—UNIP, R. Dr. Bacelar, 1212-4fl, São Paulo 04026002, BrazilPostgraduate Program in Production Engineering, Universidade Paulista—UNIP, R. Dr. Bacelar, 1212-4fl, São Paulo 04026002, BrazilPostgraduate Program in Production Engineering, Universidade Paulista—UNIP, R. Dr. Bacelar, 1212-4fl, São Paulo 04026002, BrazilRESUP Research Group, Postgraduate Program in Production Engineering, Universidade Paulista—UNIP, R. Dr. Bacelar, 1212-4fl, São Paulo 04026002, BrazilRESUP Research Group, Postgraduate Program in Production Engineering, Universidade Paulista—UNIP, R. Dr. Bacelar, 1212-4fl, São Paulo 04026002, BrazilRESUP Research Group, Postgraduate Program in Production Engineering, Universidade Paulista—UNIP, R. Dr. Bacelar, 1212-4fl, São Paulo 04026002, BrazilAgribusiness 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.https://www.mdpi.com/2077-0472/13/4/864SNAcommodities tradeagricultural and livestock productionlogistics systems |
| spellingShingle | 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 Agricultural International Trade by Brazilian Ports: A Study Using Social Network Analysis Agriculture SNA commodities trade agricultural and livestock production logistics systems |
| title | Agricultural International Trade by Brazilian Ports: A Study Using Social Network Analysis |
| title_full | Agricultural International Trade by Brazilian Ports: A Study Using Social Network Analysis |
| title_fullStr | Agricultural International Trade by Brazilian Ports: A Study Using Social Network Analysis |
| title_full_unstemmed | Agricultural International Trade by Brazilian Ports: A Study Using Social Network Analysis |
| title_short | Agricultural International Trade by Brazilian Ports: A Study Using Social Network Analysis |
| title_sort | agricultural international trade by brazilian ports a study using social network analysis |
| topic | SNA commodities trade agricultural and livestock production logistics systems |
| url | https://www.mdpi.com/2077-0472/13/4/864 |
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