Fish value chain and the determinants of value addition decision: Empirical evidence from Bangladesh

Author:

Acharjee Debasish Chandra1ORCID,Alam G M Monirul1ORCID,Gosh Kamal2,Haque A. B. M. Mahfuzul3ORCID,Hossain Mohammad Ismail4

Affiliation:

1. Department of Agribusiness Bangabandhu Sheikh Mujibur Rahman Agricultural University Gazipur Bangladesh

2. School of Agriculture and Applied Sciences Langston University Langston Oklahoma USA

3. WorldFish‐Bangladesh & South Asia Office Dhaka Bangladesh

4. Department of Agribusiness and marketing Bangladesh Agricultural University Mymensingh Bangladesh

Abstract

AbstractThe present study was conducted to explore the fish value chain and the determinants that influenced the fish farmer's decision, preferably in the value addition chain of Rui, Catla, Tilapia, and Pangas fish. Hence, primary data were collected from 200 fish farmers and 212 market actors from three districts of Bangladesh. The per quintal value addition by the retailers in Mymensingh and Jessore areas was the highest for Rui and the lowest for Pangas. In Dhaka, the retailer's highest per quintal value was reported for Catla. The Poisson regression analysis revealed that farmers' education, fish farming experience, and access to extension services could positively, while the farmer's age could negatively influence their value addition decisions. Developing effective extension services is vital to make an integrated and sophisticated fish market system in Bangladesh.

Publisher

Wiley

Subject

Agronomy and Crop Science,Aquatic Science

Reference28 articles.

1. Post-harvest fish loss in the fish value chain and the determinants: empirical evidence from Bangladesh

2. Alam M. F.(2011).A background paper for Bangladesh fisheries value chain study. Posted in FAO websitehttp://www.fao.org/valuechaininsmallscalefisheries/participatingcountries/Bangladesh/fr/

3. Study on supply and value chain analysis for exporting yard long bean from Bangladesh;Chowdhury M. M.;International Journal of Sustainable Agricultural Technology,2012

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