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Value chain mapping: Results from VCA descriptive analyses of the Uganda’s smallholder pigs value chain

  1. Results from V CA d escriptive a n alyses o f t h e U g andan s mallholder p igs v a lue c h ain Peter Lule and Emily Ouma “Workshop: In-depth smallholder pig value chain assessment and preliminary identification of best -bet interventions, Kampala, 9-11 April 2013” VALUE CHAIN MAPPING
  2.  Marketing outlets for pigs and piglets, by gender.  Producer prices Grown pigs Piglets  Output price variation patterns.  Channels for inputs and services  Value chain map  Constraints OUTLINE
  3. Piglets – local within the neighbor-hood. Grown pigs - 4 major outlets. neighborhood butcher, butcher in another town, traders Direct sales to consumers. MARKETING OUTLETS FOR SMALLHOLDER PIG FARMERS
  4. 0 20 40 60 80 100 Kkingo Kyanamukaka Kitayunjwa Namwendwa Bugulumbya Ntenjeru Kabonera Kyampisi Kimanya-Kyabakuza Katwe-Butego Nyendo-Ssenyange MukonoTC Goma Proportionofproducers(%) Direct to consumers Neighbourhood butcher Butcher in another town Trader MARKETING CHANNELS FOR GROWN PIGS – MEN GROUP
  5. 0 20 40 60 80 100 Kkingo Kyanamukaka Kitayunjwa Namwendwa Bugulumbya Ntenjeru Kabonera Kyampisi Kimanya-Kyabakuza Katwe-Butego Nyendo-Ssenyange MukonoTC Goma Rural-rural Rural-urban Urban-urban Proportionofproducers(%) Direct to consumers Neighbourhood butcher Butcher in another town Trader MARKETING CHANNELS FOR GROWN PIGS – WOMEN GROUP
  6. Value chain domain Average prices, by sales outlet type Butcher in other town Direct to consumers Neighborhood butcher Traders Rural-rural 5129 4667 3633 4903 Rural-urban 4283 - 4829 5742 Urban-urban 5200 5750 5144 5996 GROWN PIGS PRICES
  7. Value chain domain Average price Rural-rural 25528 Rural-urban 33250 Urban-urban 36667 PIGLET PRICES
  8. High price offers Low price offers Mukono district June – Celebration of martyrs’ day in Namugongo. April and December - Due to festive seasons July – Mortality losses Mukono district Jan-Feb, May-Aug: - school fees Masaka district July and Aug –coffee season Masaka district Jan and Aug: - school fees Kamuli district July-Oct – agricultural produce season April and Dec – Due to festive seasons Kamuli district Jan-March - school fees GROWN PIGS PRICE VARIATIONS
  9. Value chain domain Sub-county Source of extension services (% of respondents) NAADS NGO Other farmers AHSP Men Women Men Women Men Women Men Women Rural- rural Kkingo 13 21 0 0 0 0 0 0 Kyanamukaka 50 11 0 0 38 21 0 0 Kitayunjwa 0 0 0 0 0 0 0 0 Namwendwa 0 0 0 0 0 0 20 0 Bugulumbya 14 4 19 12 0 0 0 0 Ntenjeru 10 10 0 0 6 0 0 0 EXTENSION SERVICE PROVISION: R-R
  10. Value chain domain Sub-county Source of extension services (% of respondents) NAADS NGO Other farmers AHSP Men Women Men Women Men Women Men Women Rural- urban Kabonera 20 5 15 13 0 0 0 0 Kyampisi 12 5 12 38 18 10 15 5 Urban- urban Kimanya- Kyabakuza 25 15 0 0 25 50 0 0 Katwe-Butego 33 43 33 57 67 43 0 0 Nyendo- Ssenyange 40 25 0 0 0 0 40 21 Mukono TC 7 28 0 11 0 0 0 0 Goma 33 25 0 0 25 13 50 38 EXTENSION SERVICE PROVISION: R-U AND U-U
  11. Value chain domain Sub-county Source of Credit (% of respondents) SACCO MFI Banks village women groups groups Men Women Men Women Men Women Men Women women Rural-rural Kkingo 25 14 0 0 0 0 0 0 0 Kyanamukaka 0 0 0 0 0 0 0 0 16 Kitayunjwa 0 0 0 0 0 0 0 0 0 Namwendwa 0 0 0 0 0 0 0 0 0 Bugulumbya 21 20 0 0 0 0 0 0 0 Ntenjeru 0 0 0 0 0 0 6 5 0 Rural-urban Kabonera 0 5 0 5 0 0 0 0 0 Kyampisi 9 7 13 5 12 5 9 12 0 Urban-urban Kimanya- Kyabakuza 0 0 8 13 25 30 0 0 0 Katwe-Butego 17 14 0 0 0 0 0 0 0 Nyendo- Ssenyange 40 0 0 7 0 0 0 0 29 Mukono TC 0 0 14 44 0 0 0 0 0 Goma 17 0 0 4 0 0 0 0 0 ACCESS TO CREDIT
  12. PROVISION OF ANIMAL HEALTH SERVICES 0 20 40 60 80 100 Kkingo Kyanamukaka Kitayunjwa Namwendwa Bugulumbya Ntenjeru Kabonera Kyampisi Kimanya- Kyabakuza Katwe-Butego Nyendo- Ssenyange MukonoTC Goma Proportionofhouseholds(%) AHSP- Government_men AHSP- Government_women AHSP- private_men AHSP- private_women
  13. Item unit Rural-Rural Rural-Urban Urban-urban Dewormer Tablet 1000 910 Multi-vitamin Injection 1500 1500 2214 Breeding Service 22143 18571 30833 Maize bran Kg 368 400 383 Mixed feeds Kg 1111 1150 898 AVERAGE INDICATIVE PRICES FOR INPUTS
  14. VALUE CHAIN MAP SMALLHOLDER PRODUCER PRIVATE- AHSP GOVERNMENT- AHSP ANIMAL BASED DRUG SHOPS VILLAGE BOAR BANKS KNOWLEDGABLE FARMERS FEED MILLERS FEED SHOPS NEIGHBOURHO OD BUTCHER (pork, live pigs) TRADER (live pigs) NAADS MFI BUTCHER IN OTHER TOWN (pork) WHOLESALER FEEDS PIGLETS FROM NEIGHBOURS ABBATOIR (pork) PROCESSOR (pork, sausages and bacon) SUPERMARKETS/ HOTELS PORK JOINTS (pork) CONSUMERS SACCOS NGO Treatment, diagnosis , prevention, drugs Breeding, replac ement pigs Credit Mixed feeds, maize bran Extension services Bulking Wholesaling/slaughtering Retailing
  15. CONSTRAINTS ASSOCIATED WITH INPUTS AND SERVICES 0 10 20 30 40 50 60 70 80 90 100 Kkingo Kyanamukaka Kitayunjwa Namwendwa Bugulumbya Ntenjeru Kabonera Kyampisi Kimanya-Kyabakuza Katwe-Butego Nyendo-Ssenyange MukonoTC Goma Rural-rural Rural-urban Urban-urban %ofrespondents Expensive Poor quality Price fluctuation Not easily available Lack of information on use Lack of financial resources
  16. SPECIFIC INPUT/SERVICE CONSTRAINTS Input type Constraint No. of respondents reporting Respondents reporting/total (%) Animal health products Counterfeit products 20 6 Knowledge on how to use 7 2 Unavailability of products 7 2 Price fluctuations 5 2 Credit facilities Lack of information on credit facilities 15 5 High interest rates on loans 24 8 Extension Poor access to extension service (few extensionists) 15 5 Feeds Expensive 77 25 Poor quality 51 16
  17. CONSTRAINTS ON USE OF BETTER QUALITY INPUTS Value chain domain Sub-county Constraints on use of better quality inputs (% of respondents) n Lack of knowledge Limited finances No outlets selling quality inputs Saving on costs Rural-rural Kkingo 0 5 27 16 27 Kyanamukaka 11 8 0 0 27 Kitayunjwa 11 9 0 0 19 Namwendwa 0 8 16 0 18 Bugulumbya 30 18 34 0 39 Ntenjeru 0 13 0 24 37 Rural-urban Kabonera 15 11 0 0 29 Kyampisi 7 13 0 29 38 Urban-urban Kimanya- Kyabakuza 15 3 0 32 14 Katwe-Butego 0 6 0 0 13 Nyendo- Ssenyange 11 0 0 0 19 Mukono TC 0 4 11 0 16 Goma 0 2 13 0 16
  18. CONSTRAINTS ON PRODUCT SALES 0 10 20 30 40 50 60 70 80 90 100 Credit sales - not honoured High production and marketing costs Lack of market information Limited market Liveweight pig estimation Low prices No proper linkage between buyers and sellers Non-standard pricing for pigs Poor quality animals Price fluctuation Theft %ofrespondents Constraints n=16 11 77 123 199 310 34 1417 17 17
  19. CONSTRAINTS TO OBTAINING BETTER OUTPUT PRICES Value chain domain Sub-county Constraints to achieving better output price (% of respondents) n Lackofcapacityto estimatepiglive weight Emergencysales Lackofpriceand generalmarket information Limitedmarket Lowbargaining powerduetolack oforganization Lackofregulations onpigmarketing Poorqualitypigs Tradersoperateas cartelsandcollude insettingprices Rural-rural Kkingo 8 7 33 0 0 0 0 0 27 Kyanamukaka 19 0 0 15 9 0 7 12 27 Kitayunjwa 20 0 0 9 12 0 10 0 19 Namwendwa 8 19 0 15 0 0 8 0 18 Bugulumbya 32 0 0 18 13 0 22 0 39 Ntenjeru 0 0 23 23 12 0 7 0 37 Rural-urban Kabonera 13 16 10 0 0 0 5 32 29 Kyampisi 0 18 11 7 12 0 16 15 38 Urban-urban Kimanya- Kyabakuza 0 13 13 7 9 0 16 9 14 Katwe-Butego 0 0 11 0 0 100 0 0 13 Nyendo-Ssenyange 0 11 0 0 13 0 0 0 19 Mukono TC 0 7 0 6 20 0 0 21 16 Goma 0 9 0 0 0 0 9 11 16 Total 100 100 100 100 100 100 100 100 312
  20. The common output channels are the local butcheries. Where women are organized in groups they have access to inputs and price-lucrative market opportunities. Limited access to inputs but women are more constrained. Piglet prices are higher in the urban-urban value chain. Maize mills are the most common outlets for purchasing feeds (maize bran). SUMMARY
  21.  Inputs are generally expensive, of poor quality and not easily accessible in R-R domain  Low output prices.  Lack of knowledge on live weight estimation.  Limited markets  Lack of market information  Poor quality pigs especially(R-R and R-U) COMMON CONSTRAINTS

Editor's Notes

  1. Village groups were found in Mukono and women gropus were found in masaka, generally pig farmers don’t access a lot of credit, R-r there is no
  2. Men accessed animal health services than women except in the case of kimanya and katwe, the general trend was that the private AHSP were sourced more than the governmentexcept in bugulumbya were they only used the government ahsp
  3. Women in Mukono could access feeds form brewries in jinja,
  4. The common constraints on inputs and services in the rural-rural value chain domain were their availability (up to 70% of the respondents) and high cost (up to 90% of respondents). In the rural-urban and urban-urban value chains, poor quality of the inputs was mentioned by a relatively high number of respondents, although in Ntenjeru sub-county (rural-rural value chain) over 70% of respondents also indicated this constraint.
  5. Lack of knowledge on better quality inputs was indicated by a relatively high proportion of farmers in the rural-rural and rural-urban value chains (up to 30%). Some of the specific issues included lack of knowledge on feed mixing to achieve good quality feeds and poor knowledge on quality standards for most inputs though they knew that some of the inputs were not effective.
  6. General: Low bargaining power and lack of market information.R-R and RU: Lack of capacity to estimate pig live-weight.R-R and R-U: Poor quality pigs.-
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