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Livelihood assessment, decision-making and institutions in the Uganda smallholder pig value chain: Results from descriptive analyses

  1. Livelihood assessment, decision- making and institutions in the Uganda smallholder pig value chain Results from descriptive analyses Emily Ouma “Workshop: In-depth smallholder pig value chain assessment and preliminary identification of best-bet interventions, Kampala, 9-11 April 2013”
  2. Outline  Sources of livelihood.  Crops grown and control by gender.  Pattern of agricultural and pig income.  Pig income control and decision- making.  Decision-making: pig enterprise activities.  Social capital.  Institutions on livestock (inc; pigs) and agricultural VC.
  3. Common sources of livelihood Men  Pig production – 25 villages  Crop production (coffee/pineapple) – 28  Other livestock (cattle/poultry) – 28 villages  Retail business – 20 villages  Construction work – 16 villages New livelihood activities becoming common in some sub-counties • “Boda boda” riding. • Brick-making. • Mobile money business. Women Retail business – 31 villages Pig production – 30 villages Crop production (banana, maize)– 28 villages Other livestock (poultry) – 29 villages Craft-making – 17 villages Casual labor – 8 villages New livelihood activities becoming common in some sub- counties Salon and tailoring business Charcoal burning Alcohol brewing
  4. Livelihood source ranking – contribution to household income: Men only Rural-Rural Rural- Urban Urban-Urban Livelihood source Kkingo Kyanamukaka Kitayunjwa Namwendwa Bugulumbya Ntenjeru Kabonera Kyampisi Kimanya-Kyabakuza Katwe-Butego Nyendo-Ssenyange Mukono TC Goma Crop production 2.0 1.0 1.5 1.0 1.2 1.0 1.0 1.3 1.5 1.0 1.0 5.0 3.0 Pig production 1.0 2.5 1.5 2.0 1.0 2.0 2.5 2.5 1.0 2.0 2.0 2.0 4.0 Other livestock 3.0 3.0 2.0 2.5 2.3 3.0 4.0 4.0 3.0 3.0 4.0 1.0 5.0 Construction N/A N/A 3.5 4.0 3.0 4.0 6.0 4.5 4.0 4.5 5.0 5.5 2.0 Pig and crop production ranked highest in all V-C domains apart from Mukono TC and Goma. Mukono TC – other livestock especially poultry. Goma and other urban VC– important role of non agricultural activities. Mean rankings of livelihood sources (1=highest rank)
  5. Livelihood source ranking – contribution to household income: Women only Mean rankings of livelihood sources (1=highest rank) Rural-Rural Rural- Urban Urban-Urban Livelihood source Kkingo Kyanamukaka Kitayunjwa Namwendwa Bugulumbya Ntenjeru Kabonera Kyampisi Kimanya-Kyabakuza Katwe-Butego Nyendo-Ssenyange Mukono TC Goma Retail business 4.0 3.8 3.0 N/A 3.7 4.5 3.3 3.6 3.5 2.7 3.3 3.0 3.0 Crop production 2.0 2.0 1.0 2.0 1.0 1.3 1.0 1.3 2.0 3.5 2.5 2.0 N/A Pig production 1.0 1.7 2.5 3.0 2.0 1.7 1.5 2.0 1.0 1.0 1.5 1.0 1.0 Other livestock 1.3 2.0 2.5 1.5 2.0 1.7 1.5 2.0 1.0 1.0 N/A 1.0 1.0 Pig and poultry production ranked highest by women in the urban-urban value ch Important role of crop production in the rural-rural and rural-urban value chains.
  6. Crops grown and production objective Crop No. of villages Objective of production Gender of main decision maker Banana 24 Food/Cash Men/women Beans 28 Food Women Cassava 16 Food Women Coffee 14 Cash Men Maize 25 Food/Cash Men Sugarcane 2 Cash Men Sweet potatoes 24 Food Women Cash crops largely in men’s domain, while food crops are largely controlled by w
  7. Pattern of agricultural income 0 5 10 15 20 25 30 Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Index of agricultural income Pattern of agricultural income, Masaka district Kabonera Katwe Butego Kkingo Kyanamukaka Nyendo Senyange Coffee harvest and sales Coffee harvest and sales 0 5 10 15 20 25 30 Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Index of agricultural ncome Pattern of agricultural income, Kamuli district Bugulumbya Namwendwa Kitayunjwa Coffee, maize, bean and rice harvest
  8. Pattern of agricultural income 0 2 4 6 8 10 12 14 16 18 20 Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Index of agricultural income Pattern of agricultural income, Mukono district Mukono TC Goma Kyampisi Ntenjeru Coffee income No clear pattern apart from November, general rise in agricultural income – coffee. Other peaks associated with bananas and maize income.
  9. Income from pigs 0 5 10 15 20 25 30 35 40 45 Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Index of pig income Pattern of pig income, Kamuli district Bugulumbya Namwendwa Kitayunjwa Local demand X-mas 0 5 10 15 20 25 30 35 40 45 Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Index of pig income Pattern of pig income, Mukono district Mukono TC Goma Kyampisi Ntenjeru X-mas Martyrs day in Namugongo Easter Easter
  10. Income from pigs 0 10 20 30 40 50 60 Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Index of pig income Pattern of pig income, Masaka district Kabonera Katwe Butego Kimanya Kyabakuza Kkingo Kyanamukaka Nyendo Senyange X-mas Local demand Easter
  11. Pig income control and decision making 0 50 50 69 31 0 0 12 22 40 25 0 100 100 50 50 31 69 100 100 89 78 60 75 100 0 0 20 40 60 80 100 Kkingo Kyanamukaka Kitayunjwa Namwendwa Bugulumbya Ntenjeru Kabonera Kyampisi Kimanya-Kyabakuza Katwe-Butego Nyendo-Ssenyange Mukono TC Goma Rural-rural Rural-urban Urban-urban Proportion of respondents (%) Male only Joint Female only Men groups
  12. Pig income control and decision making Women groups 3 0 13 13 2 3 0 0 0 0 0 3 13 3 0 25 63 7 3 28 23 33 20 0 21 88 94 100 63 25 90 95 72 77 67 80 100 76 0 0 20 40 60 80 100 Kkingo Kyanamukaka Kitayunjwa Namwendwa Bugulumbya Ntenjeru Kabonera Kyampisi Kimanya-Kyabakuza Katwe-Butego Nyendo-Ssenyange Mukono TC Goma Proportion of respondents (%) Male only Joint Female only
  13. Other pig enterprise activities and decision-making 36 37 21 39 36 39 37 31 29 64 57 69 60 54 60 63 69 68 0 4 10 1 11 1 5 0 20 40 60 80 100 Input purchase Labor hiring Start of pig enterprise Pig breeds Pig feeding Pig slaughtering Sales outlets for pigs/piglets Pig sales Piglet sales Proportion of respondents (%) Male only Joint Female only Men group
  14. Perceptions Men group- “The enterprise benefits the whole family. Since the man has to go out to look for money, women are left at home to take care of the pigs. On the other hand, the men know the market opportunities better since they interact widely and have to take the responsibility of marketing”.
  15. Other pig enterprise activities and decision-making Women group 3 2 2 2 2 2 2 2 2 21 20 20 21 20 19 19 20 20 77 78 78 77 78 79 79 78 78 0 20 40 60 80 100 Input purchase Labor hiring Start of pig enterprise Pig breeds Pig feeding Pig slaughtering Sales outlets for pigs/piglets Pig sales Piglet sales Proportion of respondents (%) Male only Joint Female only
  16. Activity clock – Men 6.00a.m. 2.00p.m. 10.00p.m. 8.00p.m. 6.00p.m. 1.00p.m. 11.00a.m. Mix feeds for pigs and thereafter go for agro-trading or other income generating activities such as “boda-boda” 7.00a.m. Sleep
  17. Activity clock - Women 6.00a.m. 10.00p.m. 8.00p.m. 4.00p.m. 2.00p.m. 7.00a.m. Farming, collect animal feed, firewood and family food (vegetables) and banana leaves; other merchandising activities 12.00p.m. 6.00p.m. Sleep Implication of women’s time constraints: Extension and interventions. How much time do they have available?, How time-consuming and labor-intensive are the innovations, How far can they travel for trainings?
  18. Membership to pig producer groups 0 20 40 60 80 100 Kkingo Kyanamukaka Kitayunjwa Namwendwa Bugulumbya Ntenjeru Kabonera Kyampisi Kimanya-Kyabakuza Katwe-Butego Nyendo-Ssenyange Mukono TC Goma Rural-rural Rural-urban Urban-urban Proportion of respondents (%) Men Women
  19. Membership to farmer groups 0 20 40 60 80 100 Kkingo Kyanamukaka Kitayunjwa Namwendwa Bugulumbya Ntenjeru Kabonera Kyampisi Kimanya-Kyabakuza Katwe-Butego Nyendo-Ssenyange Mukono TC Goma Rural-rural Rural-urban Urban-urban Proportion of respondents (%) Member of farmer group_Men Member of farmer group_women
  20. Institutions working with the communities on livestock and agriculture VC Value chain domain type Urban-Urban Rural-Urban Rural-Rural Masaka district (i) Katwe-Butego: NAADS (ii) Kimanya-Kyabakuza: NAADS &BRAC (iii) Nyendo-Ssenyange: NAADS Mukono district (i) Goma: AMCALL & NAADS (ii) Mukono Town Council: BRAC & Biyinzika Development Group Masaka district (i) Kabonera: BRAC, FINCA & World Vision Mukono district (i) Kyampisi: FHU, NAADS and Tujja SACCO Masaka district (i) Kyanamukaka: World Vision & NAADS (ii) Kkingo: CO-SAVE & World Vision Mukono district (i) Ntenjeru: Katosi Women’s Trust Kamuli district (i) Bugulumbya: NAADS & VEDCO (ii) Namwendwa: UNAFA & BRAC (iii) Kitayunjwa: NAADS
  21. Example of institutional rankings – venn diagrams
  22. Summary  Important role of pigs as a source of livelihood – especially for women in UU.  Contribution of crops and other livestock (cattle and poultry) to household income.  Gendered differences in pig enterprise decision-making and labor burden.  Social capital – not developed in some locations.  Limited existence of pig farmer groups compared to crops. Willingness to participate in such initiatives is high.  Existence of institutions working on pig value chains – potential for collaboration to improve the VC.
  23. Thank you

Editor's Notes

  1. 1. The forms of retail business included sale of “chapatti”, firewood, silverfish, and vegetables especially tomatoes and amaranths
  2. 1. Indicate that highest rank=1
  3. April and December: Traders purchase pigs from farmers at relatively good prices. June-July – localized demand since coffee income is received.
  4. Goma Namwendwa – pig income control by men due to family headship. Income control, largely a shared responsibility. In a no. of R-R domains, pig income decisions are made by men. In Goma – Men are the decision makers (head of household).
  5. In locations where men indicate pig income control as a man’s domain, the women groups indicate it as a shared responsibility. Women, indicate that they are the main decision-makers – the enterprise is theirs and they are the ones who make decisions.
  6. Most of the activities indicated as shared responsibility. Start of the enterprise and pig feeding.
  7. 1. According to the women – most of the activities are done by them, apart from a few instances whenthe responsibility is shared.
  8. 1. Amount of leisure time
  9. Farmers’ membership to groups and willingness to join such groups was used to proxy social capital as it is an important avenue for accessing resources among resource-poor communities. Some of the farmers were members of pig producer groups especially those in the rural-urban and urban-urban value chains although in some rural-rural value chains especially in Bugulumbya, a number of pig producers belonged to such groups, which were largely supported by VEDCO. In Kabonera there was a large pig farmers group. In Katwe-Butego, there was a women pig farmers group known as Akwata Empola women’s group.
  10. In some sites, e.g. Kitayunjwa, few farmers belonged to groups. Implying either non-existence of such initiatives or unwillingness to work as a group. Relatively high proportion of farmers belonged to a farmer group (coffee groups/coffee associations). Women membership also relatively comparable to men. In Kyampisi, there was Buwanguzi Buntaba Farmers group, which diversified into many activities including cattle, pig, goat and poultry production in addition to providing catering services.
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