Analysis of Leading Countries in Sea Bream (Sparus aurata) Export Performance with Multi-Criteria Decision-Making Methods

Sea bream (Sparus aurata) is being produced and exported more and more with the increasing demand worldwide. Sea bream is a prominent species, especially in Mediterranean aquaculture, and its importance is growing for exporting countries. The increase in sea bream exports and competition necessitates closer monitoring of the performance of exporting countries. In this context, this study aims to evaluate the export performance of the world's top sea bream exporting countries using multi-criteria decision-making (MCDM) techniques. In the study, CRITIC, SD, and combined methods were used to weight the criteria. The MAIRCA method was used to rank the export performance of the countries. In addition, BORDA counting methods were integrated into these methods, and more precise results were obtained. Thus, the highest weights in criterion weighting are the annual growth rate of exports in the last five years and market concentration. Conversely, net trade had the lowest criterion weight. Greece, Türkiye, and Morocco had the highest performance in sea bream exports, respectively. Cyprus had the lowest performance in sea bream exports. To improve their performance in exporting sea bream, countries must emphasize export growth, increase the value of exports per unit, and focus on exporting to more countries.

Authors

Institutions

Publication Details

Journal
Journal of Anatolian Environmental and Animal Sciences
Published
2025-09-30
DOI
https://doi.org/10.35229/jaes.1718108
Primary Topic
Aquaculture Nutrition and Growth
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Analysis of Leading Countries in Sea Bream (Sparus aurata) Export Performance with Multi-Criteria Decision-Making Methods

Muhammed Fatih Aydemir
Journal of Anatolian Environmental and Animal Sciences
Aquaculture Nutrition and Growth
article

Analysis of Leading Countries in Sea Bream (Sparus aurata) Export Performance with Multi-Criteria Decision-Making Methods

Muhammed Fatih Aydemir
article en

Abstract

Sea bream (Sparus aurata) is being produced and exported more and more with the increasing demand worldwide. Sea bream is a prominent species, especially in Mediterranean aquaculture, and its importance is growing for exporting countries. The increase in sea bream exports and competition necessitates closer monitoring of the performance of exporting countries. In this context, this study aims to evaluate the export performance of the world's top sea bream exporting countries using multi-criteria decision-making (MCDM) techniques. In the study, CRITIC, SD, and combined methods were used to weight the criteria. The MAIRCA method was used to rank the export performance of the countries. In addition, BORDA counting methods were integrated into these methods, and more precise results were obtained. Thus, the highest weights in criterion weighting are the annual growth rate of exports in the last five years and market concentration. Conversely, net trade had the lowest criterion weight. Greece, Türkiye, and Morocco had the highest performance in sea bream exports, respectively. Cyprus had the lowest performance in sea bream exports. To improve their performance in exporting sea bream, countries must emphasize export growth, increase the value of exports per unit, and focus on exporting to more countries.

Journal of Anatolian Environmental and Animal SciencesVol. 10(5)
Bursa Uludağ Üni̇versi̇tesi̇ (TR)
Openalex Percentile: Top 76%
Aquaculture Nutrition and Growth
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.