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Understanding Empowerment among Retailers
in the Informal Milk Sector in Peri-urban Nairobi:
Informing an Adaptation of the project-level Women’s
Empowerment in Agriculture Index
Emily Camille Myers, International Food Policy Research Institute
with
Jessica Heckert, Alessandra Galiè, Nelly Njiru, Tasokwa Kakota, Silvia Alonso
April 4, 2019 | Canberra, Australia
Overview: Gendered Opportunities and Constraints in Milk
Trading in Peri-urban Nairobi
MoreMilk
 Sub-study is an intervention with peri-urban
milk retailers
 Primary outcome: Improve child nutrition and
health (via better milk quality)
 Secondary outcome: Empower milk retailers
Present study
 MoreMilk & GAAP2 Collaboration
GAAP 2
 Understand how agricultural
development projects empower
women
 Develop measures of women’s
empowerment (pro-WEAI) for
project impact
Photo: Jessica Heckert
Objectives
 Local understandings of empowerment
 Examine the experiences of milk retailers in relation to existing pro-
WEAI indicators and the accuracy of those indicators
 Use qualitative findings to adapt pro-WEAI instrument and to evaluate
intervention targeting milk retailers
Pro-WEAI
Methods
 Semi-structured in-depth interviews (SSIIs): 49
 27 women; 22 men
 Key informant interviews (KIIs): 4
 1 woman; 3 men
 Focus group discussions (FGDs): 6
 3 FGDs of women (2 current; 1 former)
 3 FGDs of men (2 current; 1 former)
 Sampled for traits of successful milk retailers
 Current or former
 Licensed (or not); Business type (shop, milk bar, milk ATM, street vendor, mobile
vendor); Source (producers, processors, brokers)
 Coding: deductive and inductive
Results
Women and men
 Economic success
 Men: good business skills, own assets
 Women: good business skills, own assets, soft skills
 Support family and community
 Women: community leader
 Men: benevolent patriarch
Retailers
 Additional and more valuable assets
 Women:
 Soft skills (polite, cheerful)
 ‘Too friendly’
Local understandings of empowerment
“Money is a matter of
saving for you to be
empowered.” Woman
Photo: Jessica Heckert
Indicator 1: Input in productive decisions
 Social networks: friends, family members, and those with business
experience
 Men talk to men only
 Women talk to women, and anyone after entering business
 Collaborate with spouses
 Some women were deferential to spouses
 No reprisal women’s independent choices
Instrumental Agency
“I have to make
calculations…I do
consult my husband.
We do sit down
calculate, discuss
and decide.” Woman
Implications for pro-WEAI:
Milk-specific productive decisions
 “Handling, storing, and/or
processing milk for sale, including
boiling, making mala, etc.”
 “Buying and transporting milk from a
farmer or supplier”
Indicator 2: Asset ownership
General
 Not land (may rent premise)
 Gendered ownership
 Men: borrow
 Women: buy
Licenses
 3 types: City council, Kenya Dairy Board, Ministry of Health
 Application and licensing fees
 Risk of loss of milk and assets without one (though not a strong
deterrent)
 Confusing and costly licensing process
Instrumental Agency
“If one does not have a license, the
authorities are constantly following
them up, and they are not able to
operate the business in peace.
Sometimes one has to close shop
and run away when the authorities
come inspecting.” Man
Implications for pro-WEAI:
Milk Specific Assets, Licenses
Assets
 Aluminum milk cans
 Milk ATM
 Gum boots
Licenses
 knowledge questions
Photo: Jessica Heckert
Indicator 3: Access to and decisions on financial
servicesRepayment
 Milk spoilage
 Sell milk on credit
M-Pesa
 Secure
 Women and men
Instrumental Agency
“If you apply for a loan and
say the milk spoils…And, you
know, in a week maybe you
are supposed to pay 500.
Where will you get that 500 to
pay back?” Woman
Implications for pro-WEAI:
M-Pesa, Repayment
M-Pesa
 If they have an account
Repayment
 Credit questions
Indicator 4: Visiting important locations
Gendered constraints
 Community perception of women’s promiscuity
 Childcare obligations
 Transportation
 Bicycles
 Motorbikes
 Trucks
Instrumental Agency
“I know of a lady who was
not married and was
selling milk…The elders
had to intervene and take
her back to the parents
and stop the milk
business.” Woman
Photo: Jessica Heckert
Implications for pro-WEAI:
Constraints to visiting important locations
 Transportation too expensive
 Not enough time
 Forbidden to go by
spouse/partner
Lessons learned
 Adapting pro-WEAI and other existing survey
measures needs to be undertaken carefully
 Qualitative research is one approach that can
systematically inform survey adaptations
 The topics addressed by the pro-WEAI
indicators resonate with the lived experiences
of milk retailers
 Revising some items will help make the pro-
WEAI instrument more relevant for a non-
producer population
gender.cgiar.org
We would like to acknowledge all CGIAR Research Programs
and Centers for supporting the participation of their gender
scientists to the Seeds of Change conference.
Photo: Neil Palmer/IWMI
Questions?
Thank you
Contact
Emily Myers, MPH
Research Analyst
International Food Policy Research Institute (IFPRI) | ifpri.org
Email: e.c.myers@cgiar.org

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Understanding Empowerment among Retailers in the Informal Milk Sector in Peri-urban Nairobi

  • 1. Understanding Empowerment among Retailers in the Informal Milk Sector in Peri-urban Nairobi: Informing an Adaptation of the project-level Women’s Empowerment in Agriculture Index Emily Camille Myers, International Food Policy Research Institute with Jessica Heckert, Alessandra Galiè, Nelly Njiru, Tasokwa Kakota, Silvia Alonso April 4, 2019 | Canberra, Australia
  • 2. Overview: Gendered Opportunities and Constraints in Milk Trading in Peri-urban Nairobi MoreMilk  Sub-study is an intervention with peri-urban milk retailers  Primary outcome: Improve child nutrition and health (via better milk quality)  Secondary outcome: Empower milk retailers Present study  MoreMilk & GAAP2 Collaboration GAAP 2  Understand how agricultural development projects empower women  Develop measures of women’s empowerment (pro-WEAI) for project impact Photo: Jessica Heckert
  • 3. Objectives  Local understandings of empowerment  Examine the experiences of milk retailers in relation to existing pro- WEAI indicators and the accuracy of those indicators  Use qualitative findings to adapt pro-WEAI instrument and to evaluate intervention targeting milk retailers
  • 5. Methods  Semi-structured in-depth interviews (SSIIs): 49  27 women; 22 men  Key informant interviews (KIIs): 4  1 woman; 3 men  Focus group discussions (FGDs): 6  3 FGDs of women (2 current; 1 former)  3 FGDs of men (2 current; 1 former)  Sampled for traits of successful milk retailers  Current or former  Licensed (or not); Business type (shop, milk bar, milk ATM, street vendor, mobile vendor); Source (producers, processors, brokers)  Coding: deductive and inductive
  • 7. Women and men  Economic success  Men: good business skills, own assets  Women: good business skills, own assets, soft skills  Support family and community  Women: community leader  Men: benevolent patriarch Retailers  Additional and more valuable assets  Women:  Soft skills (polite, cheerful)  ‘Too friendly’ Local understandings of empowerment “Money is a matter of saving for you to be empowered.” Woman Photo: Jessica Heckert
  • 8. Indicator 1: Input in productive decisions  Social networks: friends, family members, and those with business experience  Men talk to men only  Women talk to women, and anyone after entering business  Collaborate with spouses  Some women were deferential to spouses  No reprisal women’s independent choices Instrumental Agency “I have to make calculations…I do consult my husband. We do sit down calculate, discuss and decide.” Woman
  • 9. Implications for pro-WEAI: Milk-specific productive decisions  “Handling, storing, and/or processing milk for sale, including boiling, making mala, etc.”  “Buying and transporting milk from a farmer or supplier”
  • 10. Indicator 2: Asset ownership General  Not land (may rent premise)  Gendered ownership  Men: borrow  Women: buy Licenses  3 types: City council, Kenya Dairy Board, Ministry of Health  Application and licensing fees  Risk of loss of milk and assets without one (though not a strong deterrent)  Confusing and costly licensing process Instrumental Agency “If one does not have a license, the authorities are constantly following them up, and they are not able to operate the business in peace. Sometimes one has to close shop and run away when the authorities come inspecting.” Man
  • 11. Implications for pro-WEAI: Milk Specific Assets, Licenses Assets  Aluminum milk cans  Milk ATM  Gum boots Licenses  knowledge questions Photo: Jessica Heckert
  • 12. Indicator 3: Access to and decisions on financial servicesRepayment  Milk spoilage  Sell milk on credit M-Pesa  Secure  Women and men Instrumental Agency “If you apply for a loan and say the milk spoils…And, you know, in a week maybe you are supposed to pay 500. Where will you get that 500 to pay back?” Woman
  • 13. Implications for pro-WEAI: M-Pesa, Repayment M-Pesa  If they have an account Repayment  Credit questions
  • 14. Indicator 4: Visiting important locations Gendered constraints  Community perception of women’s promiscuity  Childcare obligations  Transportation  Bicycles  Motorbikes  Trucks Instrumental Agency “I know of a lady who was not married and was selling milk…The elders had to intervene and take her back to the parents and stop the milk business.” Woman Photo: Jessica Heckert
  • 15. Implications for pro-WEAI: Constraints to visiting important locations  Transportation too expensive  Not enough time  Forbidden to go by spouse/partner
  • 16. Lessons learned  Adapting pro-WEAI and other existing survey measures needs to be undertaken carefully  Qualitative research is one approach that can systematically inform survey adaptations  The topics addressed by the pro-WEAI indicators resonate with the lived experiences of milk retailers  Revising some items will help make the pro- WEAI instrument more relevant for a non- producer population
  • 17. gender.cgiar.org We would like to acknowledge all CGIAR Research Programs and Centers for supporting the participation of their gender scientists to the Seeds of Change conference. Photo: Neil Palmer/IWMI
  • 18. Questions? Thank you Contact Emily Myers, MPH Research Analyst International Food Policy Research Institute (IFPRI) | ifpri.org Email: e.c.myers@cgiar.org

Editor's Notes

  1. MoreMilk aims to improve child nutrition, which we think will be the result of a an intervention with milk retailers It is part of the GAAP2 portfolio, which aims to see how projects empower women and improve measures of women’s empowerment  pro-WEAI The study findings I present are part of MoreMilk’s qual work, and will inform the pro-WEAI survey instrument. The purpose of this study is….(objectives slide)
  2. Latest version of a WEAI survey For use at the project level, to diagnose areas of disempowerment and evaluate intervention impacts on women’s empowerment and REMAIN COMPARABLE It has 12 indicators Types of agencies are mapped to the empowerment literature We have findings for every indicator, but I will focus on 7 indicators in collective and instrumental agency
  3. Licensed/not licensed Milk bar/ATM/shop/mobile vendors Source milk from producers/processors/brokers Individuals who unsuccessfully tried to enter the sector Retailers who left the sector
  4. Talk about all points
  5. Talk about all points Mention how productive in this sense means livelihood
  6. Talk about all points Gendered ownership for start-up assets, which reveals a higher barrier to entry for women License is expensive, but it helps you maintain control
  7. Talk about Repayment and M-Pesa M-Pesa is a mobile money software that allows people to save money in an account and pay for goods and services through the app
  8. Talk about all
  9. Rigorous qualitative work may be used to systematically adapt a survey instrument Existing indicators resonate with milk retailers Can revise some questionnaire items to make them more relevant to a non-producer population