Energy Resources. ( B. Pharmacy, 1st Year, Sem-II) Natural Resources
The Gender, Climate Change and Nutrition Integration Initiative (GCAN): A Framework for Analysis and Programming
1. The Gender, Climate Change and
Nutrition Integration Initiative
(GCAN): A Framework for Analysis
and Programming
Elizabeth Bryan (e.bryan@cgiar.org)
Senior Research Analyst
Environment and Production Technology Division
International Food Policy Research Institute
November 13, 2017
2. Elizabeth Bryan, IFPRI
Elizabeth Bryan is a Senior Research Analyst at IFPRI
where she conducts policy-relevant research on
sustainable agricultural production, natural resource
management, small-scale irrigation, climate change
adaptation and gender. Her current work focuses on
trade-offs and synergies across the intersection of
climate-smart agriculture, nutrition, gender, and the
environment. Prior to joining IFPRI, Elizabeth worked
at the World Bank’s Poverty Reduction Group and the
Latin American Program of the Woodrow Wilson
International Center for Scholars. She has published
widely on gender and climate change adaptation in
sub-Saharan Africa. Elizabeth holds an M.A. in
International Development from American University.
3. WHY DO WE CARE ABOUT GENDER AND NUTRITION
IN THE CONTEXT OF CLIMATE CHANGE?
Ensure social inclusion and gender equality: who is adopting
and benefitting from CSA and who is not?
Mitigate potential harm: how can we catch and reduce
unintended negative consequences related to gender and
nutrition?
Enhances CSA effectiveness and impact: How can we
maximize the contribution of both men and women?
Achieve co-benefits/other development outcomes: how will CSA
maximize nutrition benefits through health, diets, and care?
4. WHY A NEW CONCEPTUAL FRAMEWORK?
Highlight key relationships between elements of complex
systems
Develop common ground for different disciplines and bodies
of literature
Synthesize state of evidence and assess evidence gaps
Identify potential impact pathways and entry points for
projects, policies
Basis for data and indicators that should be collected for M&E
Existing frameworks did not illustrate the key elements and
connections between climate change, gender and nutrition
5. Evidence on Gender and Climate Change
Men and women have different absorptive and adaptive capacity
o Livelihood activities and assets
o Access to productive resources (Deere and Doss 2006; Perez et al. 2014; Peterman et al. 2014)
o Access to information (Bernier et al. 2015; Jost et al 2015; Tall et al. 2014)
o Different perceptions (Oloukoi et al., 2014; Twyman et al., 2014)
o Institutions (e.g. social norms) (Nielsen and Reenberg 2010)
Different preferences and needs for responding to shocks and stressors and different
bargaining power (Bernier et al. 2015; Jost et al. 2015; Perez et al. 2014; Twyman et al. 2014)
Different outcomes: costs and benefits of climate shocks and response choices not equally
distributed
o Climate shocks and asset dynamics (Dillon and Quinones 2011; Goh 2012; Quisumbing, Kumar, & Behrman 2011)
o What happens after technology adoption? (Beuchelt and Badstue 2013; Nelson and Stathers 2009; Theis et al.
2017)
Gender integration into programs and projects is often lacking (Bryan et al. 2017; Ragasa et al. 2013)
6. Climate Change and Nutrition Linkages
Undernutrition is a consequence of climate change (Phalkey et al. 2015; Springmann et al. 2016;
Myers et al. 2017; Fanzo et al. 2017)
o Impacts on food availability and prices
o Impacts on consumption of healthy foods (fruits and vegetables)
Nutrition and health status also affect absorptive and adaptive capacity (Victora et al.
2008; Haas et al. 1995; Rivera et al. 1995)
o Physical capabilities and productivity
Link between diet choices and environmental outcomes
o e.g. link between consumption of animal source foods and GHG emissions and water (Vetter et al.
2017; Ranganathan et al. 2016)
Value chains as a frame for thinking about climate-smart practices that maximize
nutrition (Ruel et al. 2013; Fanzo et al. 2017)
o e.g. seed choice, food storage and processing, climate-proofing marketing distribution and retail
to ensure supply side of nutrition
7. Agriculture to Nutrition Pathways
Agricultural interventions influence nutrition outcomes (Ruel and Alderman 2014)
Potential agriculture-nutrition pathways have been identified (Haddad 2000;
Kadiyala et al. 2014; Gillespie et al. 2012; Herforth and Harris 2014; SPRING 2014)
o How production outcomes affect food prices and diet choices
o How crop choices influence consumption decisions of producer households
o How nutrient losses can be minimized through processing and preparation
o How agriculture indirectly affects nutrition through income changes, time
allocation/care practices, and the changes in the health environment
Women’s empowerment interacts with these pathways (Meinzen-Dick et al. 2012)
o Women’s work in agriculture and control over income may increase nutrition/health
spending
o Time spent in agricultural work may reduce care work and increased energy
expenditure may affect health status of pregnant women and babies
8. Resilience
Concept of resilience is used in several different disciplines including
ecology, climate change adaptation, disaster risk reduction, and, more
recently, social protection (Bene et al. 2016)
Often it is defined as the ability to recover from shocks and stressors
Recent literature refers to a set of resilience capacities:
o Absorptive (ability to absorb impacts of shocks and stressors)
o Adaptive (ability to adjust incrementally to shocks and stressors)
o Transformative (ability to dramatically change livelihoods)
Resilience is not an outcome. It is dynamic and changes as people’s
capacities fluctuate.
oe.g. the capacity to avoid negative well being outcomes, such as
poverty traps (Barett and Constas 2014)
12. Bryan et al. 2017
Physical capabilities and productivity
Link between diet choices and
environmental outcomes
CSA practices have implications for
nutrition
Undernutrition as a
consequence of cc
Bryan et al. 2017
13. Gender differences
in capacities
Different preferences and
decision-making power
Feedback loops may be different
Different
impacts
Different influence
on the pathways
Bryan et al. 2017
14. How We Use the GCAN Framework
Frame synthesis of literature on climate change, gender and
nutrition in selected countries
Guide engagement with missions during week-long
engagements
Identify research gaps on key elements and relationships in the
country context
Support integration of gender and nutrition in climate risk
screening activities
Develop tools for use during project implementation
15.
16. What Are the Climate Trends and Risks?
Historical trends
and impacts
Projections of
changes in
temperature,
rainfall, and
variability
Future impacts
on key crops
Nigeria: Precipitation Change, 1980-2010, mm
Statistically significant at 10% level
Source:
AgMERRA
Note:
Regression at
each pixel using
the annual
mean daily
maximum
temperature of
the warmest
month
17.
18. Nutrition profile
Priorities:
o Global Hunger Index 2016
o Stunting in children under 5 years: (WHO cutoff ≥20%).
o Wasting in children under 5 years: (WHO cutoff ≥5%)
o Overweight and Obesity in women ≥20 years
Micronutrient deficiencies (varies with urban/rural, wealth quintile)
o Anemia in women of reproductive age
o Anemia in preschool-aged children
o Zinc deficiency in preschool-aged children
o Vit A deficiency in children and women
19. Absorptive and Adaptive Capacity: Key Gendered
Factors Include:
Gender roles within and outside of agriculture
Perceptions of climate change and climate risk
Livelihood activities
Assets (tangible and intangible)
Access to productive resources
Access to information
Institutions (e.g. social norms, social protection programs etc.)
20. 0 20 40 60 80 100
Observed any climate change
Temperature increase
More rainfall
More rainfall variability
More floods
Less rainfall
More frequent droughts
Men (n=200) Women (n=323)
0 20 40 60 80 100 120
Any change
Increase in temperature
Decrease in overall rainfall
More droughts
Increase in variability of
rainfall
Men (n=152) Women (n=180)
Adaptive Capacity: Different Perceptions
Kaffrine, Senegal Rakai, Uganda
Source: IFPRI-CCAFS intra-household survey.
21. Adaptive Capacity: Information and Technology
Nyando, Kenya Wote, Kenya Rakai, Uganda Kaffrine, Senegal
Women Men Women Men Women Men Women Men
Extension agents 40 42 98 99 30 67 2 12
NGOs 68 64 84 67 31 68 8 24
Community meetings 38 63 97 99 24 45 8 17
Farmer organizations 36 13 30 11 12 36 1 1
Religious groups 42 32 55 44 36 31 13 14
Agri-service providers 16 7 67 18 12 40 6 15
Family members 93 79 97 99 52 73 83 68
Neighbors 82 94 99 99 91 95 80 79
Radio 96 99 99 100 86 98 85 88
TV 15 45 5 15 2 14 10 8
Newspaper/bulletin 6 27 2 11 1 34 0 1
School 16 28 2 9 4 14 0 0
Cell phones 6 28 2 2 6 12 1 4
Internet 0 11 1 1 0 0 0 0
Traditional knowledge 81 93 91 90 74 75 88 94
Agricultural shows 3 11 4 11 1 20 0 0
Farmer field schools 8 11 57 41 6 12 0 0
Women have
less access to
information
sources
Source: IFPRI-CCAFS intra-household survey.
KEY: Highlighted
differences are
statistically
significant at
the 10% level
Men more likely
to have access
to information
source
Women more
likely to have
access to
information
source
22. Nyando, Kenya Wote, Kenya Rakai, Uganda Kaffrine, Senegal
Women Men Women Men Women Men Women Men
Agroforestry 52 76 98 100 98 98 93 95
Terraces/bunds 60 81 100 100 100 100 20 45
Water harvesting 39 72 94 95 58 93 7 26
Irrigation 72 77 85 92 100 100 90 94
Zai/planting pits 11 14 37 25 19 21 0 3
Crop residue mulching 94 88 96 97 100 99 44 66
Composting 20 43 27 48 97 96 10 47
Manure management 88 88 93 85 89 96 65 71
Efficient fertilizer use 64 73 12 35 53 86 60 80
Improved HYVs 85 62 94 99 96 98 29 67
Improved STVs 18 11 99 99 85 73 2 15
No/min tillage 56 72 7 34 96 54 54 67
Improved grain storage 56 48 98 98 82 98 46 48
Improved stoves 60 74 88 96 99 99 81 66
Improved feed management 33 39 68 74 88 92 34 50
Destocking 27 28 69 63 86 79 38 47
Cover cropping 40 24 13 4 6 25 28 39
Stress tolerant livestock 14 10 53 30 68 73 8 20
Rangeland management 20 5 31 2 76 99 30 41
IPM 6 4 0 5 83 77 1 6
Women less
aware of
climate-
smart
practices (%)
Adaptive Capacity: Information and Technology
Source: IFPRI-CCAFS intra-household survey.
KEY: Highlighted
differences are
statistically
significant at
the 10% level
Men more likely
to be aware of
practice
Women more
likely to be
aware of
practice
23. Nyando, Kenya Wote, Kenya Rakai, Uganda Kaffrine, Senegal
Women Men Women Men Women Men Women Men
Agroforestry 33 25 70 93 90 93 96 95
Terraces/bunds 45 41 95 98 56 60 34 23
Water harvesting 37 22 28 31 30 8 4 0
Irrigation 21 14 9 10 21 29 6 6
Zai/planting pits 48 26 6 7 11 17 0 20
Crop residue mulching 92 67 75 87 100 95 85 82
Composting 63 24 28 30 33 21 16 10
Manure management 79 57 85 84 57 72 96 96
Efficient fertilizer use 60 56 0 13 34 50 80 74
Improved HYVs 87 82 91 99 22 56 78 59
Improved STVs 60 30 92 99 55 60 67 45
No/min tillage 47 18 8 0 21 48 58 50
Improved grain storage 32 18 66 49 62 48 70 67
Improved stoves 36 34 29 35 37 33 14 17
Improved feed management 42 23 65 36 71 22 83 88
Destocking 43 29 40 25 32 10 20 16
Cover cropping 60 48 38 0 17 5 85 65
Stress tolerant livestock 43 50 47 65 2 13 0 20
Rangeland management 78 33 41 33 5 1 57 55
IPM 33 14 0 78 75 29 100 83
When aware,
women as
likely to adopt
climate-smart
practices (%)
Adaptive Capacity: Information and Technology
Source: IFPRI-CCAFS intra-household survey.
KEY: Highlighted
differences are
statistically
significant at the
10% level
Men more likely
to adopt practice
conditional on
awareness
Women more
likely to adopt
practice
conditional on
awareness
24.
25. Think of Climate Change Responses that:
Input
Supply
Production Post Harvest
Storage
Processing Distribution Marketing
and Retail
Consumption
Food Utilization
Limited available
land, soil
degradation, loss
of biodiversity,
temperature and
water stress, CO2
effects
Contamination
, spoilage,
increased
electricity
demands,
damage from
extreme
weather
events
Improper
processing of
foods, nutrient
losses during
milling,
combination
with unhealthy
ingredients
Climate
impacts on
transportation
and retail
infrastructure,
export/import
impacts on
prices and
availability
Lack of access
to inputs
(seeds,
fertilizer,
irrigation,
extension)
Advertising
campaigns for
unhealthy
foods, loss of
small food
retailers
Lack of
knowledge of
nutrition,
nutrient losses
during
preparation,
increased
diarrhea &
enteropathy
Minimize nutrition “exiting” the value chain
Maximize nutrition “entering” the food value chain
New
production
locations,
diversification,
CO2
fertilization,
focus on
women
farmers,
extension
Aflatoxin
control,
refrigeration
Fermentation,
drying,
fortification,
product
reformulation
(reduce salt,
sugar,
unhealthy fats)
Moving food
from areas of
shortage to
areas of
surplus,
targeting of
vulnerable
groups
Improved
varieties, bio-
fortification,
fertilizer,
irrigation
Messaging on
the
importance of
nutrition and
sustainability,
benefits of
certain foods
Home
fortification
(fish powders),
training in
nutritious food
preparation,
time mgmt,
food
preservation
Source: Fanzo, Downs and McLaren 2017
26. Example of Aflatoxin-Climate-Nutrition Linkage in Zambia
Aflatoxins are a naturally occurring by-product of certain species of
the Aspergillus fungi
Growing body of research on association between aflatoxin exposure and
child linear growth, liver disease and cancer
Climate change affects aflatoxin levels in maize and groundnut.
Aflatoxin levels rise during growth and storage (extreme environments)
Maize: Low contamination levels, high exposure due to consistent
consumption
Groundnuts: Very high levels and commonly consumed by children (41%
in 6-23 mo old; ZDHS2009).
Implications of climate change on aflatoxin levels in crops (curing,
storage, processing, women’s roles)
Ismail et al 2014
27. Men more likely to report planting
trees
Both reported changing crop
types, varieties and planting dates
but preferences for crop types and
varieties may be different
Insurance preferences are
different
Women more likely to mention
strategies such as food storage,
starting an off-farm business, fuel
efficient cookstoves
51
78
48
81
32
55
3
67
0
10
20
30
40
50
60
70
80
90
Nyando,
Kenya
Wote, Kenya Kaffrine,
Senegal
Rakai,
Uganda
Men Women
Responses to Climate Change: Different Preferences
% of Men and Women Adapting
to Perceived Climate Change
Men and Women have Different
Preferences for CSA Practices
Source: IFPRI-CCAFS intra-household survey.
28.
29. Pathways: Influenced by Gender
• Production pathway: Who makes crop/production choices?
Men and women may choose different crops and for different
purposes (consumption or sale)—implications for nutrition
• Income pathway: Who controls income? Men and women have
different consumption preferences
• Asset pathway: Gender-differentiated asset dynamics have
implications for well-being outcomes for men and women
• Labor pathway: Different CSA practices have different time
implications for men and women (e.g. women’s time burden
affect their caring capacity—a key determinant of child
nutritional status)
30.
31. Climate Conditions and Responses Affect Food
Prices and Nutritional Outcomes
• Food price volatility is
influenced by climate
conditions e.g. seasonality,
shocks, etc.
• Need to consider implications
of climate change on
production and the effects on
food prices
• Food price volatility poses
risks for everyone – from
farmers to consumers
Sources: Global Panel (2016); Hauenstein Swan, S., and B. Vaitla
(2007); Hendrix, C. (2016); Breisinger, C. et al. (2012)
32. Outcomes: Will CSA Close or Exacerbate Gender
Inequalities?
Source: ILSSI baseline survey data
Source: Bryan et al. 2017. unpublished
COUNTRY
Irrigators Non-irrigators Contributors to
disempowermentWEAI Score WEAI Score
Ethiopia 0.82 0.85
•Group membership
•Leisure time
•Speaking in public
•Credit access
•Control over use of income
Ghana 0.82 0.80
•Credit access
•Workload
•Group membership
•Control over use of income
Tanzania 0.88 0.86
•Group membership
•Credit access
•Leisure time
•Speaking in public
•Autonomy in production
33. Entry Points for Gender Transformative,
Nutrition-Sensitive CSA
Need to improve enabling conditions for women both within and outside the
household
Strengthen capacity of organizations on gender and cross sector programming
Consider nutrition and gender along the entire value chain (not just
production/consumption)
Use tools for assessing gender and nutrition in CSA
More gender-transformative and nutrition-sensitive programs that:
o Involve both men and women in the design of programs, technologies and
approaches to CSA
o Ensure that both men and women have access to information, groups, credit, social
protection programs, etc.
o Gender disaggregated M&E to track outcomes for women/men
o Consider the nutrition risks of climate change and implications of CSA approaches
34. Thank you for listening!
Please visit our website for more information and
materials: https://gcan.ifpri.info/
Email me with any questions: e.bryan@cgiar.org
Editor's Notes
Large inequalities across SES and income level. Difference between urban, urban slums, and rural.
Recall in the framework that there were several factors influencing adaptive capacity. One of these factors relates to user characteristics. A key element of that is men’s and women’s ability to perceive climate change.
In general, women less-likely to perceive climate change (Twyman et al. 2014). This is true across all climate change impacts reported in Senegal.
However, sometimes men and women report experiencing different changes as illustrated by the case in Uganda.
Men and women perceive different climate shocks
Men and women perceive different impacts of climate change in Nigeria (CCAFS data, Oloukoi et al. 2014), which again suggests that the impacts are different
In Nyando, Kenya, women were more likely to perceive increases in temperature, rainfall, and the incidence of flooding while men were more likely to perceive more frequent droughts and increased rainfall variability.
Given that adaptation responses largely depend on individuals’ perceptions of climate change, differences in men’s and women’s perceptions can have profound effects on whether or not they adapt and, if so, which strategies they choose.
Using information as the example to illustrate how men and women have different capacity to adapt to climate change
Growing evidence that women are at a disadvantage with respect to access to information (Beauman and Dillon 2014; Bernier et al. 2015; Jost et al. 2015; Katungi, Edmeades, and Smale 2008; Tall et al. 2014)
Women tend to have access to informal sources of information while men have better access to formal sources
Information provided to men is not always shared with women in the HH (Hoel 2015, McOmber et al. 2013). i.e. family members are not the best mechanism for information transfer.
Differences across countries. Women in Kenya are better informed than in Uganda and Senegal
Given lack of access to information, women tend to be less aware of CSA practices, more so in some sites than in others
Adoption rates of many practices are low but especially among women.
However, when aware, women are more likely than men to adopt many CSA practices
Pattern of adoption relates to women’s gender roles
E.g. women are more likely to adopt practices such as water harvesting, improved grain storage and improved livestock feed management
User characteristics also refers to the fact that men and women have different priorities, needs and preferences for adaptation given their gender roles.
Unfortunately, technologies often designed without taking women’s needs and preferences into account
Need for time-saving technologies (e.g. multiple use irrigation systems, ICS, agroforestry)
Production preferences differ (crop choice, allocation of produce for sale or consumption)
Women’s needs/preferences not all the same—e.g. differences between FHH and married women
We know little about women’s time preferences and this is a growing area of research
One way to ensure that women benefit from CSA and that households maximize benefits is to increase women’s empowerment
As part of the Innovation Lab for Small-Scale Irrigation to we are using the Women’s Empowerment in Agriculture Index (WEAI), look at the linkages between irrigation, women’s empowerment, and nutrition outcomes
The WEAI is a survey-based tool that asks questions of male and female decisionmakers within the same household. Questions focus on different domains of empowerment including decisions about production, access to and control over productive resources, control over income, leadership, and time.
What we are finding is that adoption of irrigation is not necessarily associated with women’s empowerment. In Ethiopia women from irrigating households have lower empowerment scores than those from non-irrigating households. This could be because of many of the factors we just discussed such as an increased time burden and decreased decision-making authority.
Results also show that the factors contributing to disempowerment are context specific. This suggests that programs and projects need to assess and target specific entry points in order to increase women’s empowerment in a given context