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Results of the Uganda pig value chain input and service providers scoping studies

  1. Improving pig productivity and incomes through an environmentally sustainable and gender inclusive integrated intervention package in Uganda Input and service providers scoping study results Christopher Sebatta1, Sebatta Namazzi2, Emily Ouma3, Ben Lukuyu3 and Michel Dione3 1Makerere University Kampala 2Independent Consultant 3International Livestock Research Institute Face to face meeting of the Phase II Uganda Pig Value chain project, Kampala, 19 February 2020
  2. Integrated technology and best practices innovations basket Input and service providers Producers Pig collectors, traders, wholesalers Pork joints Consumers PigSmartPlatform Aggregators Aggregators Market arrangements - pricing terms - supply quantities - supply quality - timing Institutional innovation in the form of market arrangements to improve market linkages and relationships to support the VC system Market pull Recap – integrated technological and institutional innovation package
  3. Objectives of the scoping studies  Product profiling of veterinary drugs and feeds supplied to smallholder pig farmers in the study sites  Profiling of veterinary practitioners in study sites  Profiling of pig aggregators to understand the networks through which aggregators source or obtain pigs and their business model
  4. Scoping results: veterinary drug stockists
  5. Common livestock types served 100 100 82.35 82.35 0 0 10 20 30 40 50 60 70 80 90 100 Cattle(n=17) Pigs(n=17) Poultry(n=14) Shoats(n=14) Rabbits(n=0) %ofvetdrugstockists Type of livestock/poultry
  6. Pig diseases that drugs were dispensed for by stockists in the last 6 months 5.88 11.76 11.76 52.94 70.59 82.35 0 20 40 60 80 100 Lumpy skin Swine Erysipelas Swine Pneumonia Mange Worms Swine fever % of stockists Pigdisease
  7. Cattle diseases that drugs were dispensed for by stockists in the last 6 months Cattle disease % of drug stockists (n=17) East cost fever 100 Trypanosomiasis 47.1 Anaplasmosis 35.3 Worms 29.4 Mastitis 17.7 Babesiosis 17.7 Mange 11.8 FMD 11.8 Bloat 5.9
  8. Poultry diseases that drugs were dispensed for by stockists in the last 6 months 94.12 70.59 58.82 29.41 29.41 17.65 5.88 0 10 20 30 40 50 60 70 80 90 100 %ofdrugstockists
  9. Main pig drugs and supplements stocked by stockists 88 41 18 12 12 12 59 18 18 18 12 12 71 29 29 24 24 71 29 12 6 - 10 20 30 40 50 60 70 80 90 100 Ivamectin Levamizol Albendazole (Liquid) Piperazin Normectin Liverside Armitrazin Nortraz Cypermethrin Streptomycin Dualdip Vectocid Oxytetracyclin Tetracycline Gentamycin Penicilin Penstrep Multivitamin Ferrum/Iron Tonimix Premix AnthelminthicArachnidicidesAntibiotics Vitamins/Iro n supplement Percent
  10. Frequency of inspection of vet drug stockists by National Drug Authority Overall sample(n=17) Frequency of inspection % Frequency Quarterly 35.29 6 Monthly 23.53 4 Once a year 23.53 4 Five (5) times a year 5.88 1 Half year 5.88 1 Once every two months 5.88 1
  11. Use of credit among drug stockists District Have you used credit to boost your business? (Frequency) No Yes Total Kampala (n=1) 1 0 1 Masaka (n=4) 2 2 4 Mukono (n=3) 3 0 3 Wakiso (n=9) 8 1 9 Overall sample (n=17) 14 3 17 • Credit is sourced from MFIs (1) & Banks (2) • 6/17 (35%) reported credit is easily accessible • Low capital base, high interest & lack of collateral were cited as key barriers of access to credit
  12. Main infrastructural barriers that affect drug stockist businesses Constraints facing drug stockists  Poor roads:  Delays in delivery of drugs due to poor roads  High taxation and license fees:  High cost of operations  Unreliable energy supply: Poor supply of power/electricity (load shading)  Spoilage of drugs that need refrigeration Suggested potential solutions  Ensure stable and reliable energy  Reduce energy tariffs for small businesses
  13. Main operational barriers that affect drug distributors  Relax conditions for establishing Class B Pharmacy to necessitate pharmacists to work hand in hand with veterinary doctors.  Streamline conflicting roles between NDA & UNBS regarding inspection of drugs  Government should revise the taxes levied on veterinary drug distributors  Organise veterinarians into an Associations  Provide additional trainings in veterinary drug management and disease investigation  Scrap off none effective drugs
  14. Scoping results: veterinary practitioners
  15. Sample size  Total sample size of 20 o 16 males o 4 females  Mean age: o 30 years for females o 36 years for males
  16. Year of experience of veterinarians 2 2 9 7 0 1 2 3 4 5 6 7 8 9 10 0-1 2-4 5-10 More than 10 years Experience in years
  17. Main pig drugs used by veterinarians - 10 20 30 40 50 60 70 80 Kampala(n=1) Wakiso(n=8) Total (n=20) Masaka(n=6) Mukono(n=5) Percentageofdrugs District Anthelminthic Arachnidicides (“Drugs against ectoparasites”) Antibiotics Vitamins/Iron supplement
  18. Technical services  Only 15% belong to veterinary associations  16 out of 20 veterinary services have access to technical services on disease diagnosis, treatment, feed formulation and vaccination  Providers of technical services include ; drug companies, NARO, MAAIF, Internet, Kuku chick, FAO, Fellow vets, district Vet officers  Special support required:  more trainings,  provision of transport means,  insurance to insure against travel and disease risks,  better tools and equipment and equipped laboratories for proper and timely disease diagnosis
  19. Use of credit among veterinarians  Only 2 out of 20 veterinary practioners received credit  Veterinary practioners usually offer credit to farmers 80% (Deferred payments)  12 out of 20 veterinary practioners receive credit from suppliers 0 1 0 1 2 1 5 5 7 18 1 6 5 8 20 0 5 10 15 20 25 Kampala Masaka Mukono Wakiso Total Frequency District Yes No Total
  20. Constraints Client oriented  Defaulting  Negative perception that drugs are given free by government  Self treatment  Unreliable farmers in the business  Lack of experience in livestock management  Resistance to vaccinations Policy oriented  High cost and taxes on drugs  Delayed response to new outbreaks  Lack of vaccines on market for African swine fever  Poor roads  Exploitation of farmers by un qualified paravets
  21. Main Government policies/interventions that affect veterinarians Which policy affects you the most? How has it affected your business? Which changes would you propose to overcome such problem? Transport • Poor roads limit movement • Increased cost of services • Untimely access to farmers • Limits on number of clients • Upgrade the roads • Lower fuel prices • Using phone calls to diagnosis water supply Hinders animal production Reduce cost of water Energy It lowers profits for the business High taxation Reduces on incomes
  22. Scoping results: feed processors/stockists
  23. Nature of feed business 50 10 30 10 0 10 20 30 40 50 60 Feed milling and mixing Feed milling only Feed ingredients seller only Commercial feed manufacturer Percentange Nature of Feed business
  24. Commercial feed production business model Feed producers Wholesalers Suppliers of feed ingredients Feed producers Feed consumers Processing factories Farmers Retailers Importers Fishing Feed exporters Poultry farmers Pig farmers Dairy/goat farmers Oil processing factories Drug strickists Feed distributors/transporter Concentrates Fats/Oils
  25. Nature of feed business by gender Type of business Female% (n) Male Feed milling and mixing 45 (9) 55 (11) Feed mixing only 50 (2) 50 (2) Commercial feed manufacturer 50 (2) 50 (2) Feed ingredients supplier only seller 16.7 (2) 83.3 (10) Overall (n=40) 37.5 (15) 62.5 (25)
  26. Business characteristics Business characteristics Percentage Registered 77.5 Own feed processing operation 67.5 Possess retail outlet 50.0 Own storage facility 77.5 Membership in producer association 10.0 Training in feed processing 67.5
  27. Demographic characteristics of the respondents Study site Mean Age of respondent Mean Years of existence of business Mean Experience of the respondent Kampala 41.5 9.3 6.5 Wakiso 35.5 6.2 5.1 Masaka 37.3 6.7 4.8 Mukono 35.7 5.8 4.8 Overall 37.6 6.9 5.3
  28. Type of livestock feeds traded 42.5 87.5 72.5 2.5 10 45.4 75 60 5 20 0 10 20 30 40 50 60 70 80 90 100 Cattle Poultry Pigs Fish Rabbits Percentange Type of livestock feed traded Rawmaterial Processed feeds
  29. Type of raw materials purchased by feeds businesses 0 50000 100000 150000 200000 250000 300000 350000 400000 450000 500000 Maize grain Soyabean Silverfish Shells Meanquantitiespurchased/kg Type of raw material purchased per feed business type Feed milling and Mixing Feed mixing only Commercial feed manufacturer Feed ingredients only seller
  30. Type of raw material for direct sale/mixing purchased in last 12 months 0 50000 100000 150000 200000 250000 300000 350000 Sunflower Cotton seed cake concentrates Maizebran Limestone Booster Quantitiespurchasedinpast12months(Kg) Type of raw material purchased for direct sale/mixing Feed milling and Mixing Feed mixing only Commercial feed manufacturer Feed ingredients only seller
  31. Source of raw materials for mixing or direct sale 0 10 20 30 40 50 60 70 80 90 % Source Maizegrain Soybean Silverfish Sunflower
  32. Source of raw materials for mixing or direct sale 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% Percentage Source Limestone Maizebran Cottonseedcake Concentrate Shells
  33. Factors influencing choice of raw materials Factor Percentage Quality 34.3 Cost 24.5 Consumer preference 15.7 Longer shelf life 8.8 Availability 7.8 Bulk quantity 3.9 Others 5.0 Most important  Quality  Cost  Consumer preference  Longer shelf life Quality determinants  Texture  Colour  Appearance  Aroma  Experimentation  Clean
  34. Sales channel used by feed processors 0 5 10 15 20 25 30 35 40 Retail traders Wholesale traders Small scale farmers Large scale farmers Feed producers Dairy cooperatives Frequency Sales channel Pigs Cattle Poultry Shoats
  35. Innovation in the feeds industry Technical Advice offered by feed processors  Feed formulation, feeding requirements for different livestock, feed storage, proper housing hygiene, proper feeding regimes, disease management and bio safety measures Strategies to cope with changes in the market  Maintaining quality of products sold  Adapting to prevailing market situations by dealing with new innovative products on the market such as concentrates Technical support services  Received annually  Offered by manufacturers of concentrates  Topics include; feed formulation, feed mixing, feed quality management and storage.
  36. Constraints to Feed business Policy issues  Adulteration of feeds  Use of inappropriate feed formula resulting into poor quality feeds.  Highly priced commercial feed ingredients e.g concentrates  Price fluctuations  Competition from imported products Technical know how  Lack of knowledge about feeds and ingredients  Limited purchasing power of commercially formulated feeds by most farmers resulting from own farmer formulations  Insufficient information on the nutrient composition of commercial concentrates and other compounded feeds
  37. Suggested solutions  Government to enact the feed bill to regulate the feeds industry  Need to conduct nutrient analysis of all commercial compounded feeds and concentrates  Government to regulate export of maize  Government to reduce taxes of imported feed ingredients  Government to effect its’ policy on supporting traders to stock raw materials and set up a price ceiling  Screening of farmers for credit and entering into contractual agreements  Increased farmer sensitisation on proper feed formulation
  38. Scoping results: pig aggregators
  39. Typical live pig aggregator business model Fresh cuts Village middlemen Butchers Traders Consumer Small Farmers Large Farmers
  40. Typical pork aggregator /butchery business Model PORK JOINT (Butchery) Small Abattoirs Large Abattoirs Consumers Small pork trader
  41. Ownership of aggregators’ businesses by sex  Pig & pork businesses are mainly owned by males making up > 86% Frequency (percentage) of sampled aggregators by sex District Male(n=56) Female(n=9) Kampala((n=13) 12(92.3) 1(7.7) Wakiso(n=15) 14(93.3) 1(6.7) Masaka(n=22) 21(95.5) 1(4.6) Mukono(n=15) 9(60) 6(40) Pooled sample(n=65) 56(86.2) 9(13.9)
  42. Level of involvement in the live pig value chain 73 64 36 36 5 73 53 33 40 7 80 73 27 20 20 92 69 54 31 15 - 20 40 60 80 100 Buy from farmers Transport Slaughter pigs on farm Slaughter pigs off farm Sell to traders % of aggregators Kampala((n=13) Wakiso(n=15) Mukono(n=15) Masaka(n=22)
  43. Level of aggregator involvement in the pork value chain Percentage of aggregators within the pork value chain District Buy pigs (from farmers) Buy (from traders) Transp ort Sell (to traders) Roast/ fry pork Sell fresh pork to consumer Kampala((n=13) 92.3 30.8 38.5 61.5 53.9 61.5 Wakiso(n=15) 78.6 40.0 40.0 60.0 33.3 60.0 Masaka(n=22) 72.7 50.0 50.0 22.7 100.0 100.0 Mukono(n=15) 71.4 53.3 26.7 13.3 86.7 93.3 Pooled sample(n=65) 77.8 44.6 40.0 36.9 72.3 81.5
  44. Aggregator business experience 0 1 2 3 4 5 6 7 Numberofaggregators Year Business started Pork Aggregator Live Pig aggregator Over 95% of the aggregators operate sole proprietorships & only 22% are in associations
  45. Main pig supply routes and suppliers to Kampala & Wakiso
  46. Main pig supply routes and suppliers to Masaka & Mukono
  47. Pig supplies to aggregators Average number of live pigs purchased monthly per aggregator Pig farmers Village based middlemen Mean SD Mean SD Kampala 122.7 137.4 85.0 91.9 Wakiso 271.5 511.6 7.5 3.5 Masaka 50.9 37.4 - - Mukono 57.3 56.9 - -
  48. Quantity of pork supplies Average monthly quantity (Kg) of pork purchased from farmers and pork traders per aggregator 867 800 200 2,000 834 1,320 482 608 - 500 1,000 1,500 2,000 2,500 Wakiso Kampala Masaka Mukono Amountofpork(Kg) District Farmers Large traders pork traders
  49. Access to market related information Sampled aggregators who received market information in the last 12 months 54.6 60 100 100 0 20 40 60 80 100 120 Masaka Mukono Kampala Wakiso Percentageofaggregators Location
  50. Aspects of the information received by aggregators Percentage of aggregators by type of information accessed Market information type Kampala (n=13) Wakiso (n=15) Masaka (n=22) Mukono (n=15) Pooled sample (n=65) Location of customers 92.31 100 9.09 0.00 44.62 Customer preferences 100 86.67 27.27 20 53.85 Pig and pork prices 92.31 93.33 45.45 46.67 66.15 Input market prices 61.54 40 0.00 0.00 21.54 Location of input providers 53.85 33.33 9.09 26.67 27.69
  51. END THANK YOU FOR LISTENING
  52. CGIAR Research Program on Livestock livestock.cgiar.org The CGIAR Research Program on Livestock aims to increase the productivity and profitability of livestock agri-food systems in sustainable ways, making meat, milk and eggs more available and affordable across the developing world. This presentation is licensed for use under the Creative Commons Attribution 4.0 International Licence. The program thanks all donors and organizations which globally support its work through their contributions to the CGIAR Trust Fund
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