Commercialization of Livestock Agriculture in Africa: Challenges and opportunities WOMEN’S PARTICIPATION IN LIVESTOCK MARKETS IN KENYA Presented by NJUKI, J , KARIUKI , J., WAITHANJI, E., MBURU, S. and LYIMO-MACHA, J. for the 5th All Africa Conference on Animal Agriculture and the 18th Annual Meeting of the Ethiopian Society of Animal Production (ESAP), Addis Ababa, October 25-28, 2010

Objectives To identify key issues that hinder equitable participation of women in the livestock value chain 2. To analyze livestock value chains (LVC) in order to determine women’s participation in them and identify the constraints they face 1. To analyse differences in market participation for livestock and livestock products 3. To analyse which LVC have the most economic benefits for women

Results 1 cont.: Gendered differences in benefits from livestock commodities and market participation Table 1: Mean rankings for livestock commodity and livestock markets Market outlet Women Men Commodity preferences Cow milk 3.8 4.2 Indigenous chickens and eggs 4.1 3.5 Beef and / or goat meat 4 3.4 Goat milk 4.4 2.8 Informal Markets Brokers 3.5 2.9 Neighbours 3.2 2.8 Restaurants/ kiosks 2.8 2.7 Shops 1.9 3.3 Individual buyers NA 3.8 Butcheries NA 3.2 Formal Markets Dairy cooperatives 3.7 4

Results 2: Determinants of women’s participation in livestock and livestock product sales Table 2: Determinants of participation in egg sales by women in MHH * Dependant variable: whether women sold eggs 0.019 Constant 0.011 dist14=Tharaka 0.024 dist12=Kiambu 0.873 Received training 0.574 Dependency ratio 0.213 Transport asset 0.020 Communication asset 0.121 College 0.041 Primary education 0.172 Age 0.020 Belong to group=1 P>z Variable Table 3: Determinants of participation in goat and sheep sales in MHH * Dependant variable: whether women sold goat and sheep 0.007 Constant 0.016** dist14=Tharaka 0.689 dist13=Meru 0.15 dist12=Kiambu 0.027** Received training 0.559 Dependency ratio 0.01*** Transport asset 0.18 Communication asset 0.32 Secondary education 0.555 No education 0.044** Age 0.937 Belong to group=1 P>z Variables

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