This presentation was given by Kalyani Raghunathan (International Food Policy Research Institute), as part of the Annual Scientific Conference hosted by the University of Canberra and co-sponsored by the University of Canberra, the Australian Centre for International Agricultural Research (ACIAR) and CGIAR Collaborative Platform for Gender Research. The event took place on April 2-4, 2019 in Canberra, Australia.
Read more: https://www.canberra.edu.au/research/faculty-research-centres/aisc/seeds-of-change and https://gender.cgiar.org/annual-conference-2019/
Report
Share
Report
Share
1 of 18
More Related Content
Rural transformation, empowerment, and agricultural linkages in Nepal
1. Rural transformation,
empowerment, and agricultural
linkages in Nepal
Kalyani Raghunathan, Kenda Cunningham, Agnes
Quisumbing and Cheryl Doss
Seeds of Change Conference
April 2-6, 2019
Canberra, Australia
2. Motivation
Nepal is experiencing rapid transformation, including high rates of outmigration
in search of work (~7.5% of the population is based abroad)
More than 95% of the time, the migrant is male
This has implications both for the migrant and for the members of the family
who are left behind
BUT we don’t know a lot about
o Household power dynamics among the women left behind in
intergenerationally extended households, and
o what this balance of power means for household-level investment behaviour.
Particularly important in a low-income, subsistence farming structure where
responsibilities are traditionally shared among all adult household members.
3. Research questions
We use data from Nepal to answer three research questions:
What are the factors associated with empowerment of women in the
household? In particular, to what extent and in what ways does household
composition affect empowerment among these women?
How is relative empowerment among these women associated with food
security and agriculture-related household investments?
Knowing about empowerment dynamics, what can we learn that could
improve ag-nutrition programming?
4. Data
Cross-sectional annual monitoring survey from Suaahara II, an at-scale integrated
nutrition intervention
The data was collected from June to September 2017 among a representative
sample of households with a child under five years.
The primary respondents were mothers of children <5 years of age from the
selected households.
The secondary respondents included:
o primary male household decision makers;
o grandmothers of child <5y residing in the household (almost exclusively mothers-in-
law).
The final survey sample included 3624 households.
5. Data (continued)
Household type (N=3624) Number
Respondent woman only 978
Respondent woman and grandmother 890
Respondent woman and man 1038
Respondent woman, man and grandmother 718
What’s unique about this data? Several empowerment-related modules were administered
to both the woman and the grandmother
“Agency-related”: Self-efficacy; attitudes regarding gender-based violence; freedom
of movement; time use
“Resource-related”: decision-making in household productive activities, access to
related information, asset ownership and group participation
We focus on those types of HHs where the mother and grandmother are both present
N=1608
HH Type I
HH Type II
6. Methods
Part I: investigate the association of mother and grandmother’s empowerment
in each domain with HH characteristics, including the type of HH (I/II)
Part II: investigate how empowerment is related to household level investments
o In each domain, construct grandmother-mother empowerment gap variables
as follows:
o aggregate these gaps into one composite score using equal weights for each
domain, and also divide them into two groups (agency and resource related)
o Look at the associations of the empowerment gap & level measures with
investment variables
7. Our outcomes: food security and agriculture variables
Household Food Insecurity Access Score (HFIAS) – ranges from 0-27, with
a higher score indicating greater food insecurity
HH has chickens (0/1)
HH has homestead garden (0/1)
Total number of crops grown
HH sells any crop (0/1)
Proportion of crops grown that are sold
9. Results I: Women’s empowerment by HH type
0
2
4
6
8
10
12
14
16
18
Score on self-
efficacy (0-8)
Disagreement with
gender-based
violence (0-5)
Freedom of
movement (0-6)
Number of hours of
leisure in a day
Score on decision
making (0-8)
Access to
information on
household
production (0-8)
Ownership of assets
(0-17)
Group participation
(0-14)
HH type 1: mother (N=890) HH type 1: grandmother (N=813) HH type 2: mother (N=718) HH type 2: grandmother (N=644)
Note: HH type 1 is mother and grandmother only (no man), HH type 2 has mother, grandmother and an
adult male
10. Results I: Women’s empowerment by HH type
Not much difference by HH type; but differences between mother and grandmother
0
2
4
6
8
10
12
14
16
18
Score on self-
efficacy (0-8)
Disagreement with
gender-based
violence (0-5)
Freedom of
movement (0-6)
Number of hours of
leisure in a day
Score on decision
making (0-8)
Access to
information on
household
production (0-8)
Ownership of assets
(0-17)
Group participation
(0-14)
HH type 1: mother (N=890) HH type 1: grandmother (N=813) HH type 2: mother (N=718) HH type 2: grandmother (N=644)
Set 2: Mother doing worse than
grandmother on resource-related
empowerment
Note: HH type 1 is mother and grandmother only (no man), HH type 2 has mother, grandmother and an
adult male
Set 1: Mother doing as well or
better than grandmother on
agency-related empowerment
11. Results I: Other correlates of empowerment
What other characteristics matter?
Agro-ecological zone
Women in the terai are distinctly less empowered than women in the hills (significantly so in
5/8 domains)
Women in the mountains are less empowered on freedom of movement and leisure, but
more in asset ownership compared to terai women
Caste
Brahmin women more empowered than non-Brahmin women on freedom of movement,
decision-making and access to information aspects
Other demographics
Maternal age and education positively associated with their own empowerment
But grandmothers’ age is negatively associated with their own resource-related
empowerment scores
12. Results II: Correlates of food security and agriculture
outcomes
Correlation of the food security and agriculture outcome variables with
empowerment gap and levels variables
o Overall empowerment gap, all 8 domains
o Empowerment gap for agency- and resource-related empowerment separately
The graphs to follow show the effect sizes for the mother’s empowerment
and relative empowerment variables for each model
Controls: HH type, ecological zone, caste, HH size, HH wealth, land ownership,
male years of education, negative and positive shocks, age and education of the
grandmother and mother and several HH demographic variables
13. Results II.A: Using the overall relative empowerment gap
Outcomes ranging from 0-1
Mother’s empowerment matters for all outcomes, and significantly so!
Even after we control for the level of mother’s empowerment, larger relative empowerment for the grandmother is
positively associated with some outcomes
14. Results II.A: Using the overall relative empowerment gap
Continuous outcomes
Larger relative empowerment for the grandmother is positively associated with improved HH food security
The level of mother’s empowerment does not matter for food security, but is very important for the total number of
crops grown
15. Results II.B: Grouped relative empowerment gaps
Effect sizes on the empowerment gap variables
HH HFIAS
score (0-27)
HH has
chickens
HH has
homestead
garden
Total number
of crops
grown
HH sold any
crops (1/0)
Propn of
crops sold
(1) (2) (3) (4) (5) (6)
b/se b/se b/se b/se b/se b/se
Agency-related empowerment gap -0.18 0.01 -0.00 0.69*** 0.08*** 0.02**
(0.15) (0.03) (0.02) (0.19) (0.02) (0.01)
Resource-related empowerment gap -0.18 0.08*** 0.04*** -0.31 -0.03 -0.01
(0.13) (0.02) (0.01) (0.21) (0.02) (0.01)
Mother's agency-related emp score 0.08 -0.01 0.02 0.25** 0.04** 0.01*
(0.07) (0.01) (0.01) (0.10) (0.01) (0.01)
Mother's resource-related emp score -0.31** 0.26*** 0.10*** 0.99*** 0.10*** 0.03**
(0.14) (0.03) (0.02) (0.23) (0.02) (0.01)
16. We are in a migration session…so what about household
structure?
Surprisingly, having a man at home doesn’t really seem to change many
of the measured food security and agriculture outcomes measured
In fact, having a man at home is negatively associated with the total
number of crops.
oGreater specialization? Focus on large staple/cash crops? Shift
towards livestock production? Diversification into ag business? Need
to investigate!
Overall, the balance of power between the women in the HH seems more
important than the presence of the man!
17. Conclusion and further work
Women’s empowerment is important (continue focusing efforts on
mothers)…
…but don’t neglect the grandmother. She could be a hidden ally!
Next steps:
Look at empowerment among adolescent girls as well
Investigate cropping patterns and time use across HH type
Look also at how other ‘axes of oppression’, like caste, matter
Dig deeper into the program components to see which pieces of the
intervention are being improved and why
18. 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
Editor's Notes
We programmatically cover 42 of 77 districts (all communities in those where we work) and the survey was in 16 randomly sampled districts among the 42. Also, we used multi-stage cluster sampling in the new federalist structure (district, municipality, ward, and then "old ward" and finally hhs after a complete listing.
Maternal self-efficacy much higher and number of hours of leisure lower
Maternal self-efficacy much higher and number of hours of leisure lower
Larger agency-related relative empowerment for the grandmother is positively associated with ag-production outcomes
But larger resource-related relative empowerment for the grandmother is positively associated with the HH having chickens, or a homestead garden
Different types of empowerment matter in different ways!