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Transactions on Maritime Science, Vol. 12 No. 02, 2023.

Preliminary communication

https://doi.org/10.7225/toms.v12.n02.013

Using Alchian Allen Theorem to Explore Seafood Trade Connectivity in Indonesia

Chairullah Amin orcid id orcid.org/0000-0001-6954-5461 ; Khairun University, Graduate School, Economics Department, Ternate, Indonesia
Nahu Daud ; Khairun University, Graduate School, Economics Department, Ternate, Indonesia
Aswir Hadi ; Khairun University, Graduate School, Economics Department, Ternate, Indonesia
Abdul Chalid Achmad orcid id orcid.org/0000-0002-9471-5909 ; Khairun University, Graduate School, Economics Department, Ternate, Indonesia
Amran Husen ; Khairun University, Graduate School, Economics Department, Ternate, Indonesia
Erwan Sulistianto orcid id orcid.org/0000-0002-3788-9814 ; Mulawarman University, Faculty of Fisheries and Marine, Fisheries Economics and Social Department, Samarinda, Indonesia
Ikhsan Kamil ; Ministry of Marine Affairs and Fisheries, Aquaculture Development Center, Batam, Indonesia
Rezzy Eko Caraka ; National Research and Innovation Agency, Research Organization for Electronics and Informatics, Research Center for Data and Information Sciences, Bandung, Indonesia

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Abstract

The study empirically explored the Alchian-Allen proposition by applying it to Indonesia’s interregional seafood trade network. Seafood distribution center connectivity was analyzed by combining degree, betweenness, and accessibility indices with the Alchian-Allen theorem. Data were obtained from the Quarantine authority of the Indonesian Ministry of Marine Affairs and Fisheries. Our results showed that Surabaya, Jakarta, and Makassar are highest connectivity nodes in the seafood distribution network, as well as the market centers of seafood trade based on high reachability index values. This result supports the assumption of the Alchian-Allen theorem, stating that more high-quality seafood products are marketed outside their area of origin than on the local market.

Keywords

Alchian-Allen theorem; Connectivity; Network analysis

Hrčak ID:

310111

URI

https://hrcak.srce.hr/310111

Publication date:

21.10.2023.

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