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.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.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.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
* Corresponding author.
Supplements: 13 - 527 - Amin - Using Alchian Allen.pdf
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
Publication date:
21.10.2023.
Visits: 669 *