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STUDY OF FISH FARMERS SOURCE OF AQUACULTURE INFORMATION IN GHANA

STUDY OF FISH FARMERS SOURCE OF AQUACULTURE INFORMATION IN GHANA. Kwamena Quagrainie Purdue University, USA Steve Amisah Kwame Nkrumah University of Science & Technology, Ghana. Aquaculture in Ghana. Main species are tilapia ( Oreochromis niloticus ) and catfish ( Clarias gariepinus )

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STUDY OF FISH FARMERS SOURCE OF AQUACULTURE INFORMATION IN GHANA

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  1. STUDY OF FISH FARMERS SOURCE OF AQUACULTURE INFORMATION IN GHANA Kwamena Quagrainie Purdue University, USA Steve Amisah Kwame Nkrumah University of Science & Technology, Ghana

  2. Aquaculture in Ghana • Main species are tilapia (Oreochromisniloticus) and catfish (Clariasgariepinus) • Total production about 950 mt/year • Farms concentrated in Ashanti region • Majority of farmers are small-scale operators using extensive fish farming practices

  3. Purpose of Study • In 2005 Government took steps to support and accelerate aquaculture development by providing • extension services • training in fish farming techniques • training in basic bookkeeping & business plan preparation • fingerlings for sale to fish farmers

  4. Other agencies involved in aquaculture • Government parastatals • Non-Governmental Organizations – GTZ, FAO, WorldFish Center, etc • Universities • Farmer groups

  5. Questions? • Where do farmers obtain information about fish farming? • What is the source of technical assistantship on fish farming? • What factors influence farmers’ choice of information source?

  6. Methodology • Questionnaire solicited information on: • Source of information for aquaculture • Demographics • General Farm operations • Fish Farm operations

  7. Results - Demographics • Regional responses • Ashanti = 72% • Brong-Ahafo = 28% • Males = 91% • Average age = 53yrs • Years farming = 20yrs • Literacy rate = 84% • Primary = 13% • Secondary = 35% • Adult Ed = 11% • Post-Sec = 33%

  8. Results - Demographics • Average agricultural farm size = 44 acres • Average pond acreage = 1 acre

  9. Results

  10. Results

  11. Multinomial Logit Analysis • Dependent Variable (Aqua Info Source) • Y0 = Government Y1 = NGOs • Y2 = Other Farmers Y3 = University • Y4 = Other • Explanatory variables • Region; Ashanti=1, otherwise=0 • Number of years farming • Educational level; Read/write=1, otherwise=0 • Total pond acreage

  12. Marginal Effects Averaged Over Individuals

  13. Interpretation of Results • Ashanti Region farmers • Farmers have increasing probability of sourcing information from NGOs (7%), university (2%) and other sources (27%) • But a declining probability of obtaining aquaculture information from the government (-27%) and other farmers (-8%) • (Relative to Brong-Ahafo farmers)

  14. Interpretation of Results • Number of years farming • With more experience in farming, there is increasing probability of farmers seeking aquaculture information from the government (8%) and other farmers (10%) • But a decreasing probability of sourcing information from NGOs (-5%), university (-1%) and other sources (-12%)

  15. Interpretation of Results • Literacy • Literate farmers have an increasing probability of obtaining aquaculture information from the government (43%) • But a decreasing probability of sourcing information from all others • (Relative to Illiterates)

  16. Interpretation of Results • Pond Acreage • With larger pond acreage, there is increasing probability of farmers seeking aquaculture information from the government (34%), NGOs (3%), other farmers (0.4%), and other sources (5%). • But a decreasing probability of sourcing information from university (-41%).

  17. Implications of Results • Government support for aquaculture development is critical since most factors indicated a positive effect on probability of sourcing from government (literacy 48%; Acreage 34%). • Ashanti region farmers have a 27% probability of obtaining aquaculture information from other sources (Previous knowledge from schooling, self-education, etc). Reveals the impact of aquaculture curriculum in schools. • Except for being in Ashanti region (2%), literacy (-2%), experience (-1%) and farmers with larger acreages (-41%) have a decreasing probability of seeking aquaculture information from the university. Suggest that outreach activities of universities, e.g. KNUST should go beyond Ashanti region.

  18. Implications of Results • The impact of factors indicated a low effect on probability of sourcing from NGOs (Ashanti 7%; Experience -5%; literacy -10%; Acreage 2%). NGOs usually provide one-time assistance during the project period and do not have field personnel to offer continuous assistance. • The impact of factors indicated a low effect on probability of seeking information from other farmers (Ashanti -8%; Experience -6%; literacy -6%; Acreage 0.4%).

  19. Acknowledgement This study was sponsored by the Aquaculture & Fisheries Collaborative Research Support Program (AquaFish CRSP) funded under USAID Grant No. EPP-A-00-06-00012-00 and by Purdue University, USA and Kwame Nkrumah University of Science and Technology, Ghana.

  20. THANK YOU Questions?

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