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The Women’s Empowerment in Agriculture Index (WEAI): Quantitative and qualitative approachesThe Women’s Empowerment in Agriculture Index (WEAI): Quantitative and qualitative approaches
1. The Women’s Empowerment in
Agriculture Index (WEAI):
Quantitative and qualitative approaches
Emily Myers, Audrey Pereira & Chloé van Biljon
December 4, 2019
Addis Ababa, Ethiopia
2. Practice Slido question
On your phone or laptop, go to http://sli.do
Enter code: ESSPWEAI19
Have you ever used the WEAI or its versions in
your project?
Yes
No, but want to
Never heard of it
2
3. Roadmap
Defining empowerment
Understanding agency
Reach-Benefit-Empower: Types
of gender-sensitive agricultural
development programs
Women’s Empowerment in
Agriculture Index (WEAI) Basics:
Overview and evolution
The pro-WEAI
Lessons from qualitative
research
Photo credit: Kalyani Raghunathan (IFPRI)
3
4. The various material,
human, and social
resources that serve to
enhance one’s ability
to exercise choice
The capacity to define
one’s own goals and make
strategic choices in pursuit
of these goals, particularly
in a context where this
ability was previously
denied
The achievement of
one’s goals
Agency
AchievementsResources
Source: Kabeer (1999)
4
How WE(AI) define empowerment
6. Local understandings of empowerment
Common elements
Difficulty in translating
“empowerment”
“emancipated”, “admired”,
“dignified”, “lift up”, “enable”
Economic status
Taking care of oneself and
family needs
Well dressed, good appearance
Relational, not individualistic
Taking care of others (family
and community)
Having means or status to do
so, connections
Not power over (especially not over
men)
Differences, tensions
Ambivalence of men, women to
empowered women
“Lift the burden” vs threat to men
Following social norms, ideals of
femininity (“submissive”) vs Strong,
able (sometimes stand against norms)
Age (young or old)
Marital status
Unmarried women seen as having
more/less independence
7. Intrinsic (Power within)
Strong, courageous, moral being
Instrumental (Power to)
Hard work, good decisions
Collective (Power with)
Lifting burden, helping others
Husbands, children, parents, other community members
Coercive power (Power over) always negative
Men or other women (daughters-in-law)
Local understandings of agency
9. Objectives of gender-sensitive agricultural
development programs
Three types of gender-sensitive agricultural development
programs:
The strategies and activities to achieve these aims will
be different
Need indicators to monitor these programs
Reach Benefit Empower
Include women in
program activities
Increase women’s well-
being (e.g. food
security, income,
health)
Strengthen ability of women to
make strategic life choices and
to put those choices into
action
9
10. Implications
Projects
Align objectives, strategies,
tactics, indicators
If seeking to empower, think
about what tactics will affect
what domains of empowerment
Funders
Check that objectives,
strategies, tactics,
indicators align
Both projects and funders
Need a suite of indicators that can
measure empowerment at the
project and at the portfolio level
11
11. Quiz
A project aims to educate individuals on means of accessing credit.
They invite only women to the training sessions. What is the aim of the
project?
12. Quiz
A project aims to educate individuals on means of accessing credit.
They invite only women to the training sessions. What is the aim of the
project?
a. Reach women
b. Benefit women
c. Empower women
d. Reach, benefit and empower women
14. Women’s Empowerment in Agriculture Index
(WEAI)
Measures inclusion of women in the
agricultural sector
Survey-based index - interviews men and
women in the same household
Launched in 2012 by USAID, IFPRI, and OPHI
Methodology:
Similar to multi-dimensional poverty
indices (Alkire and Foster 2011) and the
Foster-Greere-Thorbeck (FGT) indices
Details on index construction in Alkire et
al. (2013)
15. How is the index constructed?
An aggregate index in
two parts:
Five Domains of
Empowerment (5DE)
Gender Parity Index
(GPI)
Constructed using
interviews of the
primary male and
primary female
adults in the same
household
16. WEAI used by 103 organizations in 54 countries
17
18. Evolution of WEAI metrics: What WEAI had
WEAI A-WEAI
WEAI A-WEAI
Women’s and men’s
empowerment across 5
domains in agriculture
Standardized measure,
internationally validated
Ability to diagnose
empowerment gaps
19. Evolution of WEAI metrics: What projects wanted
WEAI A-WEAI Pro-WEAI
CoreWEAI A-WEAI
More adaptability to project
context
Issues of intrahousehold
harmony, mobility, control of
income from projects,
domestic violence
Shorter interview time
20. Evolution of WEAI metrics: What projects wanted
WEAI A-WEAI Pro-WEAI
CoreWEAI A-WEAI
Attention to domains related
to health and nutrition
Health &
Nutrition
Livestock
Market
Inclusion
22. Challenges and importance of measuring empowerment
24Photo credits: Clockwise from top-left - Shammi Ferdousi (ANGeL); Jessica Heckert (MoreMilk); Kalyani Raghunathan
(WINGS); Shammi Ferdousi (ANGeL)
Preparing nutritious foods Training milk traders
Organizing self-help groups Training men to be caregivers
24. Why GAAP2? What’s measured matters
Learning what works
Learning what doesn’t work
Particular gender strategies
Gender-blind approaches?
Comparability across a portfolio
A learning and capacity-development initiative working with a portfolio
of 13 development projects in the Gender, Agriculture, and Assets
Project Phase 2 (GAAP2)
Supported by the Bill & Melinda Gates Foundation, USAID, and A4NH
Icon created by ProSymbols for the Noun Project
27
28. Pro-WEAI is made up of two sub-indices
Three domains
of empowerment
(3DE)
A direct measure of
women’s empowerment
in 3 dimensions
Gender parity
Index (GPI)
Women’s
achievement’s
relative to the primary
male in household
Project-level
Women’s
Empowerment
in Agriculture
Index
(pro-WEAI)
All range from zero to one;
higher values = greater empowerment
90 % 10 %
31
31. What have we learned?
Lessons from qualitative research
35
32. Purpose of qualitative methods
Contextualizing quantitative pro-WEAI and other
findings
Presentation of the overall context, not just the person
Validation of pro-WEAI from participants’
perspectives
Empowerment
Individual domains and indicators
33. Methods
Review of project documents
Community profile
Seasonality patterns
Sex-disaggregated focus groups on
local understanding of
empowerment
Semi-structured interviews: Life
histories
Key informant interviews: Market
traders
Key informant interviews: Project
staff
Photo credit: Emily Myers
34. Intrinsic agency:
Intrahousehold relationships
Other household members:
Tanzania + Mali: Co-wives’
mutual support to attend
meetings, diversify
production
Spouses
Kenya: Supportive
Burkina Faso + Ethiopia:
Submission
Photo credit: Jessica Heckert
35. Instrumental agency:
Decision-making on agricultural production
Small vs. large
Tanzania: livestock
Ethiopia: quantity
Intrahousehold dynamics
Mali: individual, not
household production
Ethiopia: men have
authority
Ghana: share
responsibility was
protective
Photo credit: Jawoo Koo
36. Instrumental agency:
Ownership and control over resources
“Ownership” is context specific
Tanzania: decisions vs. legal
Control over assets is a type of
agency, not resource
Ethiopia: Public ownership
vs. joint decision-making
privately
Photo credit: Emily Myers
37. Instrumental agency:
Time Use
Seasonality, men’s migration
Changing household gender roles
Ethiopia: women take on
men’s, but men do not take
on women’s, but gradual
change…
“…I this is a result of increased
understanding about the situation
of women, which came through
various trainings” (Mulema
2018:9)
Photo credit: Berber Kramer
39. Collective agency:
Leadership and group participation
Tanzania: “leadership” informal;
signified by helping others
"act humbly, participate in
community fundraisers and regularly
report back to group members or the
community" (Krause et al. 2018:28).
Mali: Self-esteem
“I am a female leader in my
community. All the members of the
village respect me. I am always
informed of the visits in the village
and I participate in external
meetings, on behalf of my village. I
am influential in my village"
(Bagayoko 2018:36).
Photo credit: Katrina Kosec
40. Implications for pro-WEAI: Emic views
expand ideas of empowerment
Benefit of empowerment is relational
“Lifting the burden” “Taking care of others”
Each component of empowerment is
relational, not simply individual
41. Intrahousehold relationships group membership,
income generating ability
Co-wives
Spousal support of businesses
Decision-making on agricultural production
intrahousehold relationships
Shared responsibility
Group membership intrinsic agency
Self-esteem
Interconnections among indicators and
domains
42. Join our community of practice!
weai.ifpri.info
Follow us on Twitter: @hmalapit @agnesquis @A4NH_CGIAR @PIM_CGIAR
#proWEAI #A4NHResearch #GenderInAg
49
43. Resources
Alkire, S., R. Meinzen-Dick, A. Peterman, A. Quisumbing, G. Seymour, and A. Vaz. 2013. The
Women’s Empowerment in Agriculture Index. World Development 52: 71-91.
Johnson, N., M. Balagamwala, C. Pinkstaff, S. Theis, R. Meinzen-Dick, and A.
Quisumbing. 2018. How do agricultural development projects empower women? What hasn’t
worked and what might. Journal of Agriculture, Gender, and Food Security 3(2):1-19.
http://agrigender.net/views/agricultural-development-projects-empowering-women-JGAFS-
322018-1.php
Kabeer, N. (1999). Resources, agency, achievements: Reflections on the measurement of
women’s empowerment. Development and Change, 30(3), 435–464.
Malapit, Hazel J.; Quisumbing, Agnes R.; Meinzen-Dick, Ruth Suseela; Seymour, Gregory;
Martinez, Elena M.; Heckert, Jessica; Rubin, Deborah; Vaz, Ana; and Yount, Kathryn M. 2019.
Development of the project-level Women’s Empowerment in Agriculture Index (pro-WEAI).
IFPRI Discussion Paper 1796. Washington, DC: International Food Policy Research Institute
(IFPRI). http://ebrary.ifpri.org/cdm/singleitem/collection/p15738coll2/id/133061
Malapit, Hazel J.; Sproule, Kathryn; Kovarik, Chiara; Meinzen-Dick, Ruth Suseela; Quisumbing,
Agnes R.; Ramzan, Farzana; Hogue, Emily and Alkire, Sabina. 2014. Measuring progress toward
empowerment: Women's empowerment in agriculture index: Baseline report. Washington,
D.C.: International Food Policy Research Institute (IFPRI).
http://ebrary.ifpri.org/cdm/ref/collection/p15738coll2/id/128190
Meinzen-Dick, R., D. Rubin, M. Elias, A. Mulema, and E. Myers. 2019. Women’s Empowerment
in Agriculture: Lessons from Qualitative Research. IFPRI Discussion Paper 1797. Washington,
DC: International Food Policy Research Institute.
http://ebrary.ifpri.org/cdm/ref/collection/p15738coll2/id/133060 50
Editor's Notes
In the WEAI, we focus on the Agency measures, which are often operationalized in terms of decision-making.
Why? Because when the WEAI was developed, we already had indicators, methodologies, and tools that measured resources and measured achievements. We know how to measure different types of resources, physical capital, human capital, social capital. We know how to measure achievements like yields, profits, expenditures, nutritional status. So we know how to do those things, better than we know how to measure agency.
So there was a deliberate decision to focus on agency in the WEAI.
Flexibility in gender norms during crises – this refers to several cases (esp. BD) where people expressed acceptance/admiration when women took on jobs outside the home
or outside their normal roles to be able to care for the family when spouses were absent
Unmarried women seen as having more/less independence – In some situations younger/unmarried women have greater opportunities (in school or work) while elsewhere they are kept more protected
age or stage in the life cycle was perceived as influencing women’s empowerment, with younger women being less empowered than older women due to heavier labor burdens and lack of voice in household decision-making. For example, a young woman from Mopti, Mali remarked that “I am considered young therefore my suggestions are not taken into consideration”
An example from an intervention that bred more nutritious crops, being disseminated through farmers groups with ag extension (OSP-type)
The WEAI was developed by IFPRI, USAID, and OPHI in 2012 to measure the greater inclusion of women in the agricultural sector as a result of US Government’s Feed the Future (FTF) Initiative
It is a survey-based index constructed using interviews of the primary male and primary female adults in the same household
Key aspect of index construction: similar to family of multi-dimensional poverty indices (Alkire and Foster 2011, J of Public Econ) and the Foster-Greere-Thorbeck (FGT) indices
Details on index construction in Alkire et al. (2013), World Development
Used by 100 organizations in 54countries as of November 2019
-Breaking down the 5DE score into its component indicators provides additional insight as to which indicators contribute substantially more or less to women’s empowerment. For example, compare Ghana and Kenya, whose 5DE scores are similar but whose composition of disempowerment differs. The contribution of production and resources to disempowerment is greater in Ghana, whereas lack of time and leadership opportunities are more disempowering in Kenya. In contrast, Zambia and Malawi have quite similar patterns of disempowerment, but Zambian women are slightly less empowered, primarily due to their greater constraint in workload. Examining the highest and lowest 5DE scores, women in Bangladesh, Liberia, and Tajikistan are more than three times as disempowered as women in Rwanda (excluding Cambodia which appears an outlier).
-Looking at scores by region, Asia has the greatest range in scores, followed by East Africa due to Kenya’s notably lower achievement. Both southern and West Africa exhibit the greatest similarity in score, although they have fewer countries of comparison. In the majority of countries, limited ownership of assets and lack of leisure time contribute least to women’s disempowerment. Conversely, access to and decisions on credit emerges as a major constraint in most countries, with low levels of group membership and heavy workloads also significant contributors to women’s disempowerment. However, in general, there is no simple pattern to women’s disempowerment, in terms of either the depth of disempowerment or the relative contribution of each indicator.
-Breaking down the 5DE score into its component indicators provides additional insight as to which indicators contribute substantially more or less to women’s empowerment. For example, compare Ghana and Kenya, whose 5DE scores are similar but whose composition of disempowerment differs. The contribution of production and resources to disempowerment is greater in Ghana, whereas lack of time and leadership opportunities are more disempowering in Kenya. In contrast, Zambia and Malawi have quite similar patterns of disempowerment, but Zambian women are slightly less empowered, primarily due to their greater constraint in workload. Examining the highest and lowest 5DE scores, women in Bangladesh, Liberia, and Tajikistan are more than three times as disempowered as women in Rwanda (excluding Cambodia which appears an outlier).
-Looking at scores by region, Asia has the greatest range in scores, followed by East Africa due to Kenya’s notably lower achievement. Both southern and West Africa exhibit the greatest similarity in score, although they have fewer countries of comparison. In the majority of countries, limited ownership of assets and lack of leisure time contribute least to women’s disempowerment. Conversely, access to and decisions on credit emerges as a major constraint in most countries, with low levels of group membership and heavy workloads also significant contributors to women’s disempowerment. However, in general, there is no simple pattern to women’s disempowerment, in terms of either the depth of disempowerment or the relative contribution of each indicator.
-Breaking down the 5DE score into its component indicators provides additional insight as to which indicators contribute substantially more or less to women’s empowerment. For example, compare Ghana and Kenya, whose 5DE scores are similar but whose composition of disempowerment differs. The contribution of production and resources to disempowerment is greater in Ghana, whereas lack of time and leadership opportunities are more disempowering in Kenya. In contrast, Zambia and Malawi have quite similar patterns of disempowerment, but Zambian women are slightly less empowered, primarily due to their greater constraint in workload. Examining the highest and lowest 5DE scores, women in Bangladesh, Liberia, and Tajikistan are more than three times as disempowered as women in Rwanda (excluding Cambodia which appears an outlier).
-Looking at scores by region, Asia has the greatest range in scores, followed by East Africa due to Kenya’s notably lower achievement. Both southern and West Africa exhibit the greatest similarity in score, although they have fewer countries of comparison. In the majority of countries, limited ownership of assets and lack of leisure time contribute least to women’s disempowerment. Conversely, access to and decisions on credit emerges as a major constraint in most countries, with low levels of group membership and heavy workloads also significant contributors to women’s disempowerment. However, in general, there is no simple pattern to women’s disempowerment, in terms of either the depth of disempowerment or the relative contribution of each indicator.
-Breaking down the 5DE score into its component indicators provides additional insight as to which indicators contribute substantially more or less to women’s empowerment. For example, compare Ghana and Kenya, whose 5DE scores are similar but whose composition of disempowerment differs. The contribution of production and resources to disempowerment is greater in Ghana, whereas lack of time and leadership opportunities are more disempowering in Kenya. In contrast, Zambia and Malawi have quite similar patterns of disempowerment, but Zambian women are slightly less empowered, primarily due to their greater constraint in workload. Examining the highest and lowest 5DE scores, women in Bangladesh, Liberia, and Tajikistan are more than three times as disempowered as women in Rwanda (excluding Cambodia which appears an outlier).
-Looking at scores by region, Asia has the greatest range in scores, followed by East Africa due to Kenya’s notably lower achievement. Both southern and West Africa exhibit the greatest similarity in score, although they have fewer countries of comparison. In the majority of countries, limited ownership of assets and lack of leisure time contribute least to women’s disempowerment. Conversely, access to and decisions on credit emerges as a major constraint in most countries, with low levels of group membership and heavy workloads also significant contributors to women’s disempowerment. However, in general, there is no simple pattern to women’s disempowerment, in terms of either the depth of disempowerment or the relative contribution of each indicator.
-Breaking down the 5DE score into its component indicators provides additional insight as to which indicators contribute substantially more or less to women’s empowerment. For example, compare Ghana and Kenya, whose 5DE scores are similar but whose composition of disempowerment differs. The contribution of production and resources to disempowerment is greater in Ghana, whereas lack of time and leadership opportunities are more disempowering in Kenya. In contrast, Zambia and Malawi have quite similar patterns of disempowerment, but Zambian women are slightly less empowered, primarily due to their greater constraint in workload. Examining the highest and lowest 5DE scores, women in Bangladesh, Liberia, and Tajikistan are more than three times as disempowered as women in Rwanda (excluding Cambodia which appears an outlier).
-Looking at scores by region, Asia has the greatest range in scores, followed by East Africa due to Kenya’s notably lower achievement. Both southern and West Africa exhibit the greatest similarity in score, although they have fewer countries of comparison. In the majority of countries, limited ownership of assets and lack of leisure time contribute least to women’s disempowerment. Conversely, access to and decisions on credit emerges as a major constraint in most countries, with low levels of group membership and heavy workloads also significant contributors to women’s disempowerment. However, in general, there is no simple pattern to women’s disempowerment, in terms of either the depth of disempowerment or the relative contribution of each indicator.
Many agricultural development interventions specifically aim to empower women alongside other goals, such as to improve agricultural productivity and income; reduce poverty, hunger and malnutrition; and improve health outcomes.
Despite this growing commitment to gender equality and women’s empowerment among funders and implementers of agricultural development, consistent approaches for measuring women’s empowerment in agricultural development projects are lacking.
If you were looking at a range of agricultural development projects—some that taught women how to prepare nutritious foods for their children, another that trained milk traders, another that organized women into self-help groups, and another that also trained men to be caregivers to their children—how would you know which one worked best in terms of empowering women? It would be very difficult.
Therefore, we need a measure that enables us to capture women’s voices, but also to be able to compare them across a variety of settings. Appropriate metrics are needed to assess whether these projects are achieving their goals of empowering women.
Through the GAAP2 project, we are working to develop a project-level WEAI, or pro-WEAI.
GAAP2 is a collaboration between IFPRI, OPHI, USAID, and 13 agricultural development projects that are piloting and providing input on the new index. The 13 projects are crop and/or livestock that have nutrition (and some income) outcomes. The 13 GAAP2 projects take place in 9 different countries in Africa and South Asia and use a variety of strategies to empower women.
GAAP2 is a truly collaborative and consultative process. The research teams, implementation teams, impact evaluators, and more from the 13 projects have been engaged from the start in developing the survey modules, piloting the modules, providing input and expertise on what should be in the index. This process will help us to develop a standardized tool that has been tested in the project setting and is comparable across contexts.
Each of the projects is piloting both quantitative and qualitative pro-WEAI protocols. I will not have time to delve into the qualitative work today, but it gives us insight into local definitions of empowerment and a more nuanced understanding of gender roles.
Strategies in blue have at least 8 or more projects implementing them
Strategies not in bold are the least popular among the projects
Emphasizing why it’s important to include such metrics for tracking whether women/men are being empowered or disempowered by agricultural interventions
For donors or large organizations: need common metrics for comparability
In pro-WEAI what we have done is to make these links to the empowerment literature more explicit, and so these three types of agency are our three domains: Intrinsic Agency, Instrumental Agency, and Collective Agency.
For pro-WEAI, we have 12 indicators of empowerment across 3 domains.
[PAUSE here for audience to look over slide]
The WEAI was developed by IFPRI, USAID, and OPHI in 2012 to measure the greater inclusion of women in the agricultural sector as a result of US Government’s Feed the Future (FTF) Initiative
It is a survey-based index constructed using interviews of the primary male and primary female adults in the same household
Mention if interested there is the WEAI resource center
Let me end with some results, to give you a flavor of we can get out of pro-WEAI.
This chart summarizes the extent of disempowerment among women and among men, which is the length of the bars.
The gap between the two bars shows us the empowerment gap between women and men overall – so as expected, women are more disempowered.
The colors within the bars, represent the how each of the indicators contribute to that disempowerment. So the bigger the area, the more important it is in constraining women’s empowerment and men’s empowerment.
Interestingly, despite that gap between women and men, we find that the top 2 contributors to disempowerment are the same for both women and men, which is around Collective Agency: Group membership, and Membership in influential groups.
Visiting important locations and respect among household members are large contributors to disempowerment for women but not for men. This suggests that interventions to empower women might focus on improving mobility and relationships in the household.
Now these indicators are both new to pro-WEAI, so the original WEAI would have missed these important aspects of empowerment.
So that, in a nutshell, is what pro-WEAI is about. The next question is: if you are working on a nutrition-sensitive agricultural project, what else do you need to measure?
For that let’s hear from Jessica, who will talk about the Health and Nutrition add-on module.
Let me end with some results, to give you a flavor of we can get out of pro-WEAI.
This chart summarizes the extent of disempowerment among women and among men, which is the length of the bars.
The gap between the two bars shows us the empowerment gap between women and men overall – so as expected, women are more disempowered.
The colors within the bars, represent the how each of the indicators contribute to that disempowerment. So the bigger the area, the more important it is in constraining women’s empowerment and men’s empowerment.
Interestingly, despite that gap between women and men, we find that the top 2 contributors to disempowerment are the same for both women and men, which is around Collective Agency: Group membership, and Membership in influential groups.
Visiting important locations and respect among household members are large contributors to disempowerment for women but not for men. This suggests that interventions to empower women might focus on improving mobility and relationships in the household.
Now these indicators are both new to pro-WEAI, so the original WEAI would have missed these important aspects of empowerment.
So that, in a nutshell, is what pro-WEAI is about. The next question is: if you are working on a nutrition-sensitive agricultural project, what else do you need to measure?
For that let’s hear from Jessica, who will talk about the Health and Nutrition add-on module.
EMILY begin again here
Not all the qual studies were able/designed to do all these things due to time and staff resources.
In some cases the quant results were not ready at the time, e.g.,
In BD, the AVC survey had been completed, but the results were not yet calculated
Some illustrative questions:
How can the qualitative help with understanding how to build the index?
How can qual help us understand differences we see in the index results?
Presentation of the place, not just the person, to look at local understandings of empowerment
E.g. seasonality diagrams to identify how the timing of survey fits with agricultural cycle, time use
Including a broader description of the project itself and how it relates to other development efforts in the region and/or sector
Disempowerment by poverty vs. disempowerment by gender (major theme in qual; Ruth)
Empowerment of the whole household; empowerment of women within the household.
qualitative adds value in interpreting the data. May not affect the score, but may help understand the quantitative results.
There was some variability in which tools were used and not all projects used each of the protocol options listed in the slide.
You may want to also give a few sentences of background on the way that the qual protocols were done and about the recommended sample size (refer to the handouts)
Africa: 6 (Burkina Faso, Ethiopia, Ghana, Kenya, Mail, Tanzania)
South Asia: 3 (Bangladesh, India, Nepal)
Still to be done: 4 (ANGeL + TRAIN in Bangladesh, SE LEVER in Burkina Faso, WINGS in India)
Submission
Burkina Faso and Ethiopia: “To maintain good relations, especially with husbands, wives were expected to be “submissive” to husbands as a sign of “respect” in the JP-RWEE case in Ethiopia and the Grameen case in Burkina Faso.” (34)
Ethiopia: ““The cultural marriage practice that demands the total submission of women to their husbands is changing because of the increased awareness of women as a result of various trainings provided by the government and NGOs” (Ethiopia; Mulema 2018:21).” (34)
Supportive
Kenya: “The MoreMilk study in Kenya reported the importance of supportive husbands for women to succeed in their business” (35)
Tanzania: “women were more likely to report making decisions about small livestock while men made decisions marabout cattle among the Maasai in Tanzania (Maisha Bora)” (21)
Ethiopia: “JP-RWEE found that women in dual adult households exercise autonomy over agricultural activities that occur on small scale, with smaller quantities of produce, and products or activities of low value, whereas men make decisions on larger amounts or higher values of produce” (21)
Mali: “The WorldVeg garden project in Mali found that, even though the project targeted women, women decide which crops to grow only with respect to their own productive activities rather than household production, and “under the advisement of their husbands (this is a show of respect)” (Bagayoko 2018:32).” (21-22)
Ethiopia: “women’s overt decision-making was seen as a threat to masculinity and farming is considered to be men’s sphere – a farmer is understood to be a man. However, although men are the ultimate decision makers regarding agricultural production, they often consult their spouses before making decisions; women have more influence than might appear on the surface.” (22)
Ghana: “During public discussions in focus groups in the iDE study in Ghana, the dominant discourse was around the importance of family harmony. In interviews held in private, women indicated that they want more input on decisions, but do not want full responsibility for decisions in case they go wrong.” (22)
o Tanzania: “in the quantitative work conducted in the context of the pro-WEAI Maisha Bora study among the Maasai in Tanzania, 96 percent of men reported that they own some of the land that the household cultivates, while 65 percent of the women reported that they solely or jointly owned household agricultural land, even though very few of them are likely to have state-recognized ownership of the land (Krause et al. 2018).” (24)
Ethiopia: “Mulema (2018:10) notes that: “Although culturally women cannot publicly claim individual ownership (‘I cannot say that it is mine. I have to say that it is ours,’ stated one of the beneficiaries), they exercise more bargaining power over such resources and men cannot freely access or control them without women’s consent. Such invisible control over assets by women causes underestimation of their power.”” (25)
Women control personal income, not household income
Ethiopia: the JP-RWEE study noted that diversification of income sources under the project gave women more options for income under their control, but many of the income sources that women control, such as eggs, handicrafts, brewing, and petty trade, earn only small amounts of money.” (26-27)
Tanzania: “women were said to (normatively) have control over the income they earn from poultry, small livestock, or crop sales, but a number of women reported that they are, in practice, expected to hand it over to their husbands, pointing to the importance of a nuanced understanding of what is meant by “ownership” of assets.” (27)
Personal motivations vs. social sanctions
Burkina Faso: “women reported that these contributions to family income led to “more understanding” between spouses (Kieran, Gray, and Gash 2018:48). Men appreciated when their wives did not depend on them for everything, but did not feel that their contributions to household finances should lead to more power over household decisions (Kiernan, Gray, and Gash 2018).” (28)
Ghana: “Some women also indicated that the expectations that they take on household expenses like school fees were a burden.” (28)
Tanzania: “women were expected to not only contribute to the household, but also to help others in the community—an extension of the notion of empowered women helping others: “The down side of women's control over their own income is that if they have too much and do not help others they are said to be witches or to be engaging in prostitution or other inappropriate behavior” (Krause et al. 2018:38).” (28)
Intrahousehold harmony and empowerment are not trade-offs – greater harmony often enables the behaviors and resources that allow a person to enact empowerment; Valued both for its own sense (intrinsic value) and for what it allows (instrumental value)
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