Please use this identifier to cite or link to this item:
http://hdl.handle.net/123456789/961
Title: | Using fish landing sites and markets information towards quantification of the blue economy to enhance fisheries management |
Authors: | Aura, C. Nyamweya, C. Njiru, J. Odoli, C. Musa, S. Ogari, Z. Abila, R. Okeyo, R. Oketch, R. |
Keywords: | Fisheries Management Fish market information |
Issue Date: | 2019 |
Publisher: | Wiley Online |
Citation: | Fisheries Management and Ecology, Volume 26, Issue 2 April 2019 Pages 141-152 |
Series/Report no.: | Fisheries Management and Ecology,;Volume 26, Issue 2,Pages 141-152 |
Abstract: | Fisheries management uses important fish market information and information from Communication Technology (ICT) to improve fish trade by identifying inefficiencies, inequity and post‐harvest losses. The current study reports fisheries output using ICT at major landing sites and markets in Kenya and Uganda from the Kenya Marine and Fisheries Research Institute (KMFRI) Enhanced Fish Market Information Service (EFMIS) database for 2009 – 2017. Catch assessment survey data validated the use of market data in drawing conclusions. Regional Frame Survey data provided information before EFMIS, enabling comparisons of fish trade costings. The average quantity of fish traded in Kenya depended on seasons of active lake fishing, which occurs in January – March and August – October, while Uganda had an irregular pattern associated with fish trade throughout the year. The quantity of fish traded weekly depended on the average price of fish. Lower sales margins during the EFMIS project showed the merits of information sharing using ICT platforms for efficient and equitable fish trade. Such evaluation of fish market information is useful in fish trade policy formulation and for fisheries management and ecological sustainability in rural and peri‐urban communities. |
URI: | http://hdl.handle.net/123456789/961 |
Appears in Collections: | Articles |
Files in This Item:
File | Description | Size | Format | |
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Aura2019.pdf | 1.32 MB | Adobe PDF | View/Open |
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