Motivation behind renewed interest in Tanzania dairy


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Presented by Amos Omore and Brigitte Maass at the Smallholder Dairy Value Chain in Tanzania Stakeholder Meeting, Morogoro, Tanzania, 9 March 2012

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Motivation behind renewed interest in Tanzania dairy

  1. 1. Motivation behind renewed interest in Tanzania dairy Amos Omore and Brigitte MaassThe Smallholder Dairy Value Chain in Tanzania Stakeholder Meeting , Morogoro, Tanzania, 9 March 2012 In partnership with
  2. 2. More milk, meat, and fish by and for the poorCGIAR Research Programme (CRP) 3.7 for Livestock and Fish (LaF)Overview of context of recent CGIAR change
  3. 3. GoalMore milk, meat and fish by and for the poor To sustainably increase the productivity of small-scale livestock and fish systems to increase the availability and affordability of animal-source foods for poor consumers and, in doing so, reduce poverty through greater participation by the poor along the whole value chains for animal-source foods.
  4. 4. Approach: Solution-driven R4D to achieve impactAddressing the whole value chain R4D integrated to transform selected value chains In targeted commodities and countries. Consumers Major intervention with development partners Value chain development team + research partners Strategic LaF Cross-cutting Platforms • Technology Generation • Market Innovation • Targeting & Impact INTERVENTIONS TO GLOBAL RESEARCH SCALE OUT REGIONALLY PUBLIC GOODS
  5. 5. Working toward interventions for impact at scale LaF: Prepare intervention Performance Target: double production in x poor households Scaling out Development Partners $90m Knowledge Partners $10m LaF: Strategic Research $10mTime 10 years
  6. 6. Delivering Livestock + Fish ProgrammeStructure: Three integrated Components 3 Targeting: Foresight, prioritization, gender, impact 2 Value chain development 1 Technology development: − Genetics Consumers − Feeds − Health Commodity X in Country Y Cross-cutting: M&E, communications, capacity building
  7. 7. 9 Target Value Chains SHEEP & GOATS AQUACULTURE PIGS DAIRY
  8. 8. LaF Catalyst Role NARS Private Sector ARIs Ministry NGOs Investors Investors LaF CG partnersResearch Development
  9. 9. Links to other CGIAR Programs (CRPs)
  10. 10. Initial Projects:1. More milk in Tanzania (Irish Aid)2. MilkIT (IFAD)
  11. 11. 1. More milk in Tanzania (Irish Aid) To be implemented by ILRI and SUA
  12. 12. More milk in Tanzania Project More milk by and for the poor: Adapting dairy market hubs for pro-poor smallholder value chains in Tanzania• Inception year for research (USD 450,000 for 2012)• Dairy VC R&D engagement for 4 yrs thereafter• Strong focus on pro-poor marginalised pre-commercial men and women• Aim is to provide proof-of-concept that such marginalised groups can also be targeted successfully• Project to generate evidence for influencing policy• Detailed objectives in brochure (
  13. 13. More Milk in Tanzania Project Objectives (derived from Irish Aid Country Strategy Paper for Tanzania)Goal:• Inclusive growth and reduced poverty and vulnerability among dairy-dependent livelihoods in relevant rural areas in TanzaniaOutcome:• Rural poor are more income secure through enhanced access to demand-led dairy market business services and viable organisational options, and low-income consumers have better access to affordable milk.
  14. 14. More Milk in Tanzania Project Contributing Objectives over 5 yrs1. Inform policy on appropriate role for pro-poor smallholder-based informal sector value chains in dairy sector development2. Generate and communicate evidence on business and organizational options for increasing participation of resource-poor male and female households in dairy value chains3. Develop scalable value chains approaches with improved organization and institutions serving resource-poor male and female smallholder dairy households
  15. 15. More Milk in Tanzania Project Contributing Objectives during 2012 Inception Phase1. Assess the current status of the Tanzanian dairy sector and identify appropriate entry points and partners for promoting a more pro-poor development orientation2. Develop a strategy for strengthening the policy environment to better support pro-poor dairy development, capitalizing on ongoing engagement with key policy actors and previous successes elsewhere in East Africa3. Identify sites appropriate for piloting pro-poor dairy development interventions that have been successful elsewhere, and assess how those interventions need to be adapted to the Tanzanian context.
  16. 16. More Milk in Tanzania Project Addressing 4 inter-related problems that face resource-poor milk producers1. Dominant direct milk sales by producers create Milk marketing outlets (Kurwijila, 2010) diseconomies of scale2. High risks associated with % unorganised milk sales Milk Buyer that discourage Neighbours 86.1 investment to improve Local market 5.5 productivity Secondary market 0.53. Complex cooperative Processors 1.4 models and technology- Large scale farms 0.2 driven solutions have Trader at farm 4.5 largely failed Other 1.74. Suitable organisational models have been lacking TOTAL 100.0
  17. 17. More Milk in Tanzania Project Addressing 4 inter-related problems that face resource-poor milk producers1. Dominant direct milk sales by producers create Milk processing in Tanzania has been declining since 1990 diseconomies of scale2. High risks associated with unorganised milk sales that discourage investment to improve productivity3. Complex cooperative models and technology- driven solutions have largely failed4. Suitable organisational models have been lacking
  18. 18. More Milk in Tanzania Project Example of issues to be studied:Farmer groups are struggling in most places except in Tanga Performance of milk collection at Nnronga w omen dairy co-operative Society, Hai Kilimanjaro and CHAWAMU-Muheza Tanga (1994-2007) 750000 700000 650000 600000 Volume of Milk (Litres) 550000 500000 450000 400000 Nnronga 350000 CHAWAMU-Muheza 300000 250000 200000 150000 100000 50000 0 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 Year
  19. 19. More Milk in Tanzania ProjectWhich Hub Model might be appropriate? Diversified Profit-Max Model for CPs Collection Chilling Plant Some EADD - - Center Processing Plant Hub Models - - Sales to Processor Sales to - - individuals and vendors Diversified profit max through: higher prices for milk sold locally lower costs (transport, chilling) overall for milk handled
  20. 20. 2. MilkIT Project: (IFAD)
  21. 21. MilkIT Project:Enhancing Dairy-based Livelihoods in India and the United Republicof Tanzania through Feed Innovation and Value Chain Development Approaches Purpose: contribute to improved dairy-derived livelihoods in India and Tanzania via intensification of smallholder productionfocusing on enhancement of feeds and feeding, using innovation and value chain approaches
  22. 22. MilkIT – Objectives• Institutional strengthening: To strengthen use of value chain and innovation approaches among dairy stakeholders to improve feeding strategies for dairy cows.• Productivity enhancement: To develop options for improved feeding strategies leading to yield enhancement with potential income benefits.• Knowledge sharing: To strengthen knowledge sharing mechanisms on feed development strategies at local, regional and international levels.
  23. 23. 1. Institutional strengthening• 1a. Mechanisms for enhancing innovation capacity through local stakeholder platforms to address dairy value chain constraints.• 1b. Approaches for involving local stakeholders in analysis of feed-related aspects of the dairy value chain.• 1c. Identification of intervention strategies emerging from dairy value chain analysis.
  24. 24. 2. Productivity enhancement• 2a. Strategies for implementing local feed-related innovations emerging from stakeholder platforms with the potential to enhance dairy incomes.• 2b. Methods for enhancing diffusion of local feed- related innovations among dairy smallholders with the potential for income benefits through productivity increases.• 2c. Strategic lesson learning on appropriate dairy feeding strategies and technologies.
  25. 25. 3. Knowledge sharing• 3a. Mechanisms for sharing knowledge at local and regional levels.• 3b. Mechanisms for sharing knowledge across project countries and among global R4D projects.