Update on Livestock and Fish research program output 2: Gender and value chains
Gender analysis in value chains: What data reveals for program design
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Transcript of Gender analysis in value chains: What data reveals for program design
Gender analysis in value chains:
What data reveals for program
design
Cristina Manfre, Senior associate
Cultural Practice, LLC
May 23, 2011
Nairobi, Kenya
‘Not everything that counts can be counted and
not everything that can be counted counts.’
Albert Einstein
Types of value chain data
Quantitative
– Sex-segmentation,
informality, labor allocation
– Distribution of value added
– Prices, volumes, costs, inputs,
wages, and production data
– Forward and backward
linkages
Qualitative
� Practices and participation
� Access to control and productive
resources
� Beliefs and perceptions
� Laws and policies
� Power
Complementary data sources
Group Sex Number of
members
Number of
vines
Sales (Ksh) Income per
capita (Ksh)
Avg return
per vine (Ksh)
Passion
Fruit
Male 1207 178,200 7 million 5800 39.28
Female 511 60,261 4 million 7828 66.38
• Why is women’s participation lower than men’s in the group?
• What type of access do women have to land on which they are going passion
fruit?
• What perceptions exist around women’s income from passion fruit?
•What accounts for the production and marketing differences?
Integrating Gender into Agricultural
Value Chains (INGIA-VC) Process
Gender Dimensions Framework
Access to, control over,
and ownership of
productive assets
Access to, control over,
and ownership of
productive assets
Practices and
Participation
Practices and
Participation
Laws and policiesLaws and policies Beliefs and perceptionsBeliefs and perceptionsPowerPower
Gender-based constraints
… are barriers or limits that inhibit either men’s or women’s access to resources or opportunities based on characteristics associated with their gender roles.
The term encompasses both the measurable inequalities as well as the processes that contribute to a specific condition of gender inequality.
Measurable gender
inequality or disparity
+ Factor causing that
condition
Gender-based constraint
statement
Example: Kenya Dairy Value Chain
Fewer women than men are members of the dairy producers association (although women are
caretakers of dairy cows)
+ Dairy associations require titled ownership to land
Women are constrained from full membership in the dairy association because they are not
registered landowners.
(And thus do not receive payment for the milk.)
What to do?
Strategies to Support Gender Equity
• Targeting: Address the
Needs of Women
• Empowerment: Foster
Equitable Participation
and Women’s Leadership
• Economic Efficiency:
Support Women’s
Economic Advancement