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

The 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.