Analyzing Backward and Forward Linkages of Seafood and Related Industries in Busan Using Social Accounting Matrix

This study constructed a Social Accounting Matrix (SAM) model to analyze the economic importance and inter-industry linkages of Busan’s seafood and related industries. By disaggregating these seafood and related sectors into 13 sectors, it compared backward and forward linkages and identified key sectors. This level of sectoral separation represents a clear improvement over previous studies and is the first to be conducted using a regional SAM-based model. The results show that Wild Capture Fishery sector contributes to regional consumption through relatively high regional value-added and income distribution. In contrast, Fishing Net & Rope sector ranked lowest in both backward and forward linkages, indicating its output is driven by exogeneous demand and value-added in outside the region. Key sector analysis revealed that Aquaculture, Seafood Processing, and Retail Trade sector have strong linkages in both directions. Wild Capture Fishery sector was identified as having strong forward linkage, while its normalized total backward linkages were comparatively weaker.

Authors

Publication Details

Journal
Journal of Fisheries and Marine Sciences Education
Published
2025-12-24
DOI
https://doi.org/10.13000/jfmse.2025.12.37.6.1386
Primary Topic
Marine Bivalve and Aquaculture Studies
Type
article
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article

Analyzing Backward and Forward Linkages of Seafood and Related Industries in Busan Using Social Accounting Matrix

Do-Hoon Kim, Woo-Hee CHO
Journal of Fisheries and Marine Sciences Education
Marine Bivalve and Aquaculture Studies
article

Analyzing Backward and Forward Linkages of Seafood and Related Industries in Busan Using Social Accounting Matrix

Do-Hoon Kim, Woo-Hee CHO
article en

Abstract

This study constructed a Social Accounting Matrix (SAM) model to analyze the economic importance and inter-industry linkages of Busan’s seafood and related industries. By disaggregating these seafood and related sectors into 13 sectors, it compared backward and forward linkages and identified key sectors. This level of sectoral separation represents a clear improvement over previous studies and is the first to be conducted using a regional SAM-based model. The results show that Wild Capture Fishery sector contributes to regional consumption through relatively high regional value-added and income distribution. In contrast, Fishing Net & Rope sector ranked lowest in both backward and forward linkages, indicating its output is driven by exogeneous demand and value-added in outside the region. Key sector analysis revealed that Aquaculture, Seafood Processing, and Retail Trade sector have strong linkages in both directions. Wild Capture Fishery sector was identified as having strong forward linkage, while its normalized total backward linkages were comparatively weaker.

Journal of Fisheries and Marine Sciences EducationVol. 37(6)
Decent work and economic growth
Openalex Percentile: Top 36%
Marine Bivalve and Aquaculture Studies
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