Structural Positioning and Export Dominance in the Global Banana Trade: A Network Centrality Analysis (2010–2024)

This study examines the structural evolution of the global banana trade network using a Social Network Analysis (SNA) framework across six observation years (2010, 2015, 2019, 2020, 2021, and 2024), tracing how countries’ structural positions shift throughout the study period while highlighting the contrast between the initial and final network configurations. The results show that the network evolved from a relatively centralized structure in 2010, centered on a small core comprising Ecuador and the United States, to a denser and more multi-centered configuration by 2024. While Ecuador maintained a central role, countries such as Guatemala, Costa Rica, and Honduras strengthened their structural positions, reflected by increased connectivity and higher centrality scores. In particular, Guatemala’s transition from the periphery to the core illustrates the importance of network position in relation to export performance. The findings suggest that trade influence is associated not only with production capacity but also with relational positioning, connectivity, and brokerage roles. While this study employs descriptive network analysis and cannot establish causal mechanisms, the results indicate that network-based approaches provide valuable insights into the structural dynamics of the global banana trade that complement traditional volume-based analyses.

Authors

Institutions

Publication Details

Journal
Economies
Published
2026-07-16
DOI
https://doi.org/10.3390/economies14070283
Primary Topic
Global trade and economics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Structural Positioning and Export Dominance in the Global Banana Trade: A Network Centrality Analysis (2010–2024)

Ulaş Ünlü, Halil Özekicioğlu, Hüseyin Topuz, Seda Sönmez et al.
Economies
Global trade and economics
article

Structural Positioning and Export Dominance in the Global Banana Trade: A Network Centrality Analysis (2010–2024)

Ulaş Ünlü, Halil Özekicioğlu, Hüseyin Topuz, Seda Sönmez, Fatih Boz
article en

Abstract

This study examines the structural evolution of the global banana trade network using a Social Network Analysis (SNA) framework across six observation years (2010, 2015, 2019, 2020, 2021, and 2024), tracing how countries’ structural positions shift throughout the study period while highlighting the contrast between the initial and final network configurations. The results show that the network evolved from a relatively centralized structure in 2010, centered on a small core comprising Ecuador and the United States, to a denser and more multi-centered configuration by 2024. While Ecuador maintained a central role, countries such as Guatemala, Costa Rica, and Honduras strengthened their structural positions, reflected by increased connectivity and higher centrality scores. In particular, Guatemala’s transition from the periphery to the core illustrates the importance of network position in relation to export performance. The findings suggest that trade influence is associated not only with production capacity but also with relational positioning, connectivity, and brokerage roles. While this study employs descriptive network analysis and cannot establish causal mechanisms, the results indicate that network-based approaches provide valuable insights into the structural dynamics of the global banana trade that complement traditional volume-based analyses.

EconomiesVol. 14(7)
Akdeniz University (TR), Antalya IVF (TR)
Partnerships for the goals
Openalex Percentile: Top 4%
Global trade and economics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.