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Characterizing Households and Communities for Africa RISING Project
1. Characterizing Households and
Communities for Africa RISING
Cleo Roberts
Africa RISING–CSISA Joint Monitoring and Evaluation Meeting,
Addis Ababa, Ethiopia, 11-13 November 2013
2. Why Characterize Households?
Identify household dynamics affecting technology
adoption
Identify types of households vulnerable to
poverty
Ensure the hard-to-reach are not missed
3. Why Characterize Communities?
Ensure appropriate interventions for context
Identify challenges to adoption
Figure out how to overcome barriers
6. Africa RISING: M&E System
Monitoring
Information from the field
Feedback to implementers
Evaluation
Outcomes of the project
Design of future projects and
M&E efforts
7. Africa RISING: Evaluation
Panel surveys
Characterization survey
Endline after project completion
Two levels
Household survey
Community questionnaire (according to megasitespecific definitions)
8. Farming Systems
“Interdependent gathering, production, and postharvest processes” to meet households’
nutritional, economic, and other needs (FAO
2001)
Can include:
Crop production
Livestock production
aquaculture
Smith and Subandoro (2007)
12. Livelihoods
Defined as the “capabilities, assets (including both
material and social resources) and activities
required for a means of living.” (Chambers &
Conway, 1991).
15. Livelihoods at the Household Level
Labor
Land
Cropping systems
Crop production
Crop inputs
Crop sales
Crop storage
Crop labor
Health
Livestock ownership
Livestock feed
Agriculture-related
challenges and coping
strategies
Other income sources
Credit
Housing
Food and non-food expenses
16. Measuring Poverty
At the household level:
Expenditures are more reliable than income
Easier to recall than income
Use assets to estimate wealth
More stable over time
At the community level:
Infrastructure: Roads, clinics, and other public
services
17. Livelihoods at the Community Level
Agricultural extension
Access to
services/infrastructure
Community land
Community
demographics
Water, shocks, foodsupply
Market prices
18.
19. Food Security
Three pillars:
Availability: Is there enough food?
Access: Do people have the resources to obtain
food?
Use: Are people eating healthy combinations of
foods?
WHO (2013)
20. Food Security at the
Household Level
Health
Crop production
Livestock ownership
Welfare and subjective
food security
Food consumed inside
the household
Anthropometry
Women of
childbearing age
Children under 5 years
old
21. Obtaining Measures of Food Security
and Nutritional Status
Collect source, quantity and monetary value of
foods consumed over a particular period
Necessary to standardize units of measurement
Include foods purchased, foods from own production, and inkind payments
Record times of self-reported food scarcity
Take anthropometric measurements
Identify stunting, wasting, and underweight children
Smith and Subandoro (2007)
22. Food Security at the
Community Level
Access to services
Water, shocks, and food
24. Food Inadequacy Acute Undernutrition
self-assessed food inadequacy & child wasting
6
8
% of children
.6
.5
.4
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ay
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8
% of households
10
last month
month of interview
% of households
% of children wasted
25. Higher education better nutrition
Child undernutrition indicators
20
30
40
50
by mother education
10
Child undernutrition indicators
0
50
by father education
40
30
wasting
20
underweight
higher
10
stunting
secondary
0
primary
% of children
none
none
primary
stunting
secondary
underweight
higher
wasting
26. Natural Resource Management
at the Household Level
Crop inputs
(conservation)
Crop inputs (seed)
Livestock feed
Agricultural extension
services
Land use
27. Natural Resource Management at
the Community Level
Agricultural extension
services
Community land use
Water, shocks, and food
30. Africa Research in Sustainable Intensification for the Next Generation
africa-rising.net
Notes de l'éditeur
* Do we need this slide?
The key feature of panel data is that we observe multiple units over two or more time periods
Multi-topic surveys: E.g. poverty rate in Brazil is 30%. Does not tell about who the poor people are
Quality: May seem counterintuitive to talk about sampling improving the quality of the survey when we know that it introduces sampling error, but sampling reduces non-sampling error, which is difficult to quantify.Timely : Takes less time to do a sample than to interview entire population
If there’s no slide about sample selection, does it really make sense to talk about sample size?Do we have time to add another slide?
Created/creating M&E system to assess how Africa RISING has met/is meeting goalsAinsley, Justice, Ngulu covered monitoring on Day 1Will concentrate on evaluation today
Focus in this presentation on the characterization survey
First, we should show evidence of intensificationWe do so by describing the farming systems at different points in time across many households
In this presentation I’m not presenting data from the recent survey in MalawiRather, I’m illustrating how we plan to present the data once it is fully cleaned.I will use 2004-2005 data for this purpose.
Common crop combinations can show us which crops are suitable to the local context.
These are 2004-2005 dataWith the data we have collected, we intend to show the stability of cultivation over timeNext, we will talk about the areas where Africa RISING was intended to make improvements: livelihoods, food security, and natural resource management
*
Both poverty and agricultural engagement are high in Malawi
Both male- and female-headed households obtain the vast majority of their income from agricultureTherefore, intensifying agriculture should be expected to increase households’ livelihoods
Fifteen sections of the household survey concern livelihoods directly or indirectly.The section on health is not obvious, but it is an important one regarding agricultural livelihoodsSick may mean unable to work and unable to be productiveExpenditures on medicine and hospitalization reduce available income for other thingsSimilarly, credit is not an obvious indicator of livelihood, but credit may be necessary to many households to purchase agricultural inputsFood and non-food expenditures are necessary to estimate monetary poverty
After livelihoods
Community landThere may be customary or legal restrictions on land use and transferDemographicsGroup learning about agriculture may affect how effectively farmers use technology to improve their livelihoodsMigration (seasonal and permanent) may affect technology’s effect on livelihoods.
With the data collected through the household survey we will be able to produce graphs such as the one aboveThis graph shows the average amount each crop provides to households within each expenditure quintile per year
All of these sections deal with whether households have access to enough food and whether they are suffering negative effects from unhealthy combinations of foods.I’d like to point out welfare and subjective food securityAnthropometry measures are not immediately intuitiveWe choose to measure women of childbearing age and children under 5 years old because they are the most vulnerable to malnutrition’s effectsPlus, the effects they suffer can last a lifetime and, in the case of women, across generations.For women, we are concerned with low weight for height.For children under 5 the three common measures of poor food security are stunting (low height for age), underweight (low weight for age), and wasting (low weight for height)
* Services in the community questionnaire include agricultural extension services, markets, livestock services such as slaughter slabs and veterinary clinics