Presented by Peter Lule and Emily Ouma at the Workshop on In-depth smallholder pig value chain assessment and preliminary identification of best-bet interventions, Kampala, 9-11 April 2013

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

14. 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

15. 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

16. 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

17. 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

18. 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

19. 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

20. 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

21. 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

22.  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