Joint project of the World Bank, FAO, AU-IBAR, ILRI with support from the Gates Foundation
The market for animal-sourced f...
Livestock Data Innovation in Africa Numbers for Livelihood Enhancement www.africalivestockdata.org
Outline
1. The issue: m...
Livestock Data Innovation in Africa Numbers for Livelihood Enhancement www.africalivestockdata.org
The issue
• Growing dem...
Livestock Data Innovation in Africa Numbers for Livelihood Enhancement www.africalivestockdata.org
The issue
• Growing dem...
Livestock Data Innovation in Africa Numbers for Livelihood Enhancement www.africalivestockdata.org
The issue
• Growing dem...
Livestock Data Innovation in Africa Numbers for Livelihood Enhancement www.africalivestockdata.org
Methodology: consumer p...
Livestock Data Innovation in Africa Numbers for Livelihood Enhancement www.africalivestockdata.org
Retail forms / outlets ...
Livestock Data Innovation in Africa Numbers for Livelihood Enhancement www.africalivestockdata.org
Consumer type – means o...
Livestock Data Innovation in Africa Numbers for Livelihood Enhancement www.africalivestockdata.org
0.0
1.0
2.0
3.0
4.0
5.0...
Livestock Data Innovation in Africa Numbers for Livelihood Enhancement www.africalivestockdata.org
Consumers’ preferred re...
Livestock Data Innovation in Africa Numbers for Livelihood Enhancement www.africalivestockdata.org
Consumers’ preferred re...
Livestock Data Innovation in Africa Numbers for Livelihood Enhancement www.africalivestockdata.org
Preferred retail forms
...
Livestock Data Innovation in Africa Numbers for Livelihood Enhancement www.africalivestockdata.org
Preferred food ‘quality...
Livestock Data Innovation in Africa Numbers for Livelihood Enhancement www.africalivestockdata.org
Preferred food ‘quality...
Livestock Data Innovation in Africa Numbers for Livelihood Enhancement www.africalivestockdata.org
Summary findings
• Rapi...
Livestock Data Innovation in Africa Numbers for Livelihood Enhancement www.africalivestockdata.org
Discussion and conclusi...
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The market for animal-sourced foods in Tanzania: Business opportunities for small-scale livestock producers?

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Presentation by Derek Baker, Ugo Pica-Ciamarra, Nsiima Longin and Nadhem Mtimet at the 19th International Farm Management Congress, Warsaw, Poland, 21-26 July 2013.

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  • mr.derek thanks so much for this infact tazania farmers will be helped with your findings because i have farmers been coming to me for advice and i believe its better they contact you as we go on since there in business of poultry
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The market for animal-sourced foods in Tanzania: Business opportunities for small-scale livestock producers?

  1. 1. Joint project of the World Bank, FAO, AU-IBAR, ILRI with support from the Gates Foundation The market for animal-sourced foods in Tanzania: Business opportunities for small-scale livestock producers? Derek Baker (International Livestock Research Institute, Kenya), Ugo Pica-Ciamarra (Food and Agriculture Organization, Rome), Nsiima Longin (Ministry of Livestock and Fisheries Development, Tanzania), and Nadhem Mtimet (International Livestock Research Institute, Kenya) 19 th International Farm Management Congress Transforming agriculture – between policy, science and the consumer 21-26 July 2013, Warsaw University of Life Sciences Warsaw, Poland
  2. 2. Livestock Data Innovation in Africa Numbers for Livelihood Enhancement www.africalivestockdata.org Outline 1. The issue: measuring market opportunities 2. Available data are not amendable to investment and exploitation of opportnities 3. Methodology: preferred retail forms / outlets and safety and quality attributes in developing countries 4. Evidence from Tanzania 5. Summary and conclusions Acknowledgements • Livestock Data Innovation Project https://www.africalivestockdata.org/ • Consultative Group on International Agricultural Research – Policies, Institutions and Markets Program (PIM) http://www.pim.cgiar.org/
  3. 3. Livestock Data Innovation in Africa Numbers for Livelihood Enhancement www.africalivestockdata.org The issue • Growing demand for animal- source foods in developing countries • Large share of rural households keep livestock • Opportunities for a demand- driven and inclusive growth of livestock • Smallholder-based supply chains need to be promoted Sources:ElaboratedfromFAOSTAT,WorldBankWDIandFAORIGAdatabase
  4. 4. Livestock Data Innovation in Africa Numbers for Livelihood Enhancement www.africalivestockdata.org The issue • Growing demand for animal- source foods in developing countries • Large share of rural households keep livestock • Opportunities for a demand- driven and inclusive growth of livestock • Smallholder-based supply chains need to be promoted • Information available on quantity consumed • Scattered if any information on retail forms / outlets and safety & quality attributes
  5. 5. Livestock Data Innovation in Africa Numbers for Livelihood Enhancement www.africalivestockdata.org The issue • Growing demand for animal- source foods in developing countries • Large share of rural households keep livestock • Opportunities for a demand- driven and inclusive growth of livestock • How to promote smallholder- based livestock supply chains ?? • Information available on quantity consumed • Scattered if any information on retail forms / outlets and safety & quality attributes
  6. 6. Livestock Data Innovation in Africa Numbers for Livelihood Enhancement www.africalivestockdata.org Methodology: consumer preferences • Identification of major livestock products consumed • Typologies of retail outlets • Typologies of retail forms • Identification of 5 ‘safety and quality’ attributes, which are visible (no experience / credence attributes) - simple quality score • Questionnaires developed and administered to > 144 consumers in 36 retail outlets (stratification criteria: urban-rural / retail outlets) • Data analysis based on consumer typologies (less-well off / middle class / better-off)
  7. 7. Livestock Data Innovation in Africa Numbers for Livelihood Enhancement www.africalivestockdata.org Retail forms / outlets and quality: e.g. beef Retail forms Retail outlets Safety / quality attributes* Large piece Abattoir Freshness (blood) Small cut Butchery Fat content Mixed beef Roadside outlet / wet market Marbling Ground beef Small retail shop Cleanliness of premises / presence of flies Offals Supermarket Packaging *unweighted sum of presence/absence of safety/quality attributes = quality score
  8. 8. Livestock Data Innovation in Africa Numbers for Livelihood Enhancement www.africalivestockdata.org Consumer type – means of transport as an income proxy Less well off 40% Middle class 33% Better off 27% Income bracket for 144 consumers Consumers Less well off Middle class Better off Total Urban 26 25 21 72 Rural 32 22 18 72 Total 58 47 39 144
  9. 9. Livestock Data Innovation in Africa Numbers for Livelihood Enhancement www.africalivestockdata.org 0.0 1.0 2.0 3.0 4.0 5.0 Urban Rural Quality – scores achieved by outlets
  10. 10. Livestock Data Innovation in Africa Numbers for Livelihood Enhancement www.africalivestockdata.org Consumers’ preferred retail outlets 0 20 40 60 80 100 Roadside Small retail shop Wet market Supermarket Butchery Milk kiosk / vendor Typeofconsumers(%) Less well off Middle Class Better Off
  11. 11. Livestock Data Innovation in Africa Numbers for Livelihood Enhancement www.africalivestockdata.org Consumers’ preferred retail outlets 0 20 40 60 80 100 Roadside Small retail shop Wet market Supermarket Butchery Milk kiosk / vendor Typeofconsumers(%) Less well off Middle Class Better Off Quality dimension Quality dimension Size dimension
  12. 12. Livestock Data Innovation in Africa Numbers for Livelihood Enhancement www.africalivestockdata.org Preferred retail forms Beef Poultry 0 20 40 60 80 100 mixed pieces live bird dressed bird Consumertype(%) Less well off Middle Class Better Off 0 20 40 60 80 100 Offals Mixed beef Steak Sausage Consumertype(%) Less well off Middle Class Better Off
  13. 13. Livestock Data Innovation in Africa Numbers for Livelihood Enhancement www.africalivestockdata.org Preferred food ‘quality’ 0 10 20 30 40 50 60 70 1 2 3 4 5 % Quality/safety score less well off middle class better off
  14. 14. Livestock Data Innovation in Africa Numbers for Livelihood Enhancement www.africalivestockdata.org Preferred food ‘quality’ 0 10 20 30 40 50 60 70 1 2 3 4 5 % Quality/safety score less well off middle class better off Quality is valued by all consumers’ income classes Less well off feature strongly at the higher quality end (due to occasional purchases?)
  15. 15. Livestock Data Innovation in Africa Numbers for Livelihood Enhancement www.africalivestockdata.org Summary findings • Rapid techniques developed for identifying market opportunities – larger samples needed • Consumers’ product quality demands not greatly different across income classes • Quality / safety attributes relevant for consumers in all income brackets • Consumers’ retail outlet preferences are markedly different across income classes • Consumers’ retail product form preferences are markedly different across income classes
  16. 16. Livestock Data Innovation in Africa Numbers for Livelihood Enhancement www.africalivestockdata.org Discussion and conclusion • 68 % of population live below the US$ 1.25 / day poverty line (HBS, 2007) • Proportion of (rural) HHs keeping livestock = 51% (61%) (NPS, 2008/09) • Proportion of HHs that currently do not consume livestock products = 38 % (NPS, 2008/09) • Estimated growth of GDP (per capita) in 2011-2015 = 6.9 (3.7%) year (WB, 2013) • Large high-volume / low value market coming: major opportunities for smallholder –based livestock supply chains!

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