Uptake and Impact of CSA
on Food Security, Incomes
and Assets in East Africa
Case Study from Nyando in Kenya
Maren Radeny, John Recha and Dawit
Solomon
Introduction
• Agricultural systems in EA are mainly rain-fed
Highly vulnerable to climate variability and change
Major climate-related risks: variable rainfall patterns, prolonged
dry seasons, droughts, floods
• CCAFS and partners have been working with
communities in EA since 2011
Evaluate CSA technologies through the CSVs R4D approach - stress-
tolerant crop varieties, improved small ruminants, integrated SWC
• Objective - assess uptake and impact of CSA on HH
food and nutrition security, income and assets
Quasi-experimental approach - Statistical matching (PSM) and
econometric modeling (ESR) to provide reliable estimates of impact
Results: Trends in uptake of CSA
0
20
40
60
80
100
2011 2012 2013 2014 2015 2016
Percentofhouseholds
Year
0
20
40
60
80
100
2011 2012 2013 2014 2015 2016
Percentofhouseholds
No resilient livestock breed introduced
Introduced at least one resilient breed
Fig 1. Uptake of improved crop varieties Fig 2. Uptake of improved livestock breeds
• Increased uptake of CSA, including improved
agronomic and livestock management practices
• CSA adoption influenced by HH socio-economic and
institutional factors
Results: Impacts of CSA
• Multiple stress-tolerant crops – +significant impacts on
all outcomes – food security (HDDS), assets and income
• Improved small ruminants – +significant impacts on
food security and assets; no effects on income
• Integrated SWC – impacts insignificant
• How can the CSA technologies be promoted for wider
uptake, including feeding into policy processes
• Need to strengthen other support services – climate
information and agro-advisories, access to finance
• Strengthening existing farmer experimentation
networks & mobilizing farmers to work in groups
Results: Impacts of CSA
Without
adoption
With
adoption
Net
Change
(ATT)
Crops
HDDS 5.70 7.33 1.6***
Assets 4.94 25.53 20.6***
Income 26.06 40.50 14.4***
Livestock
HDDS 4.70 7.59 2.9***
Assets 5.36 27.58 22.2***
*Income/AE in KES’000
**Household Dietary Diversity Score (HDDS)

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Day3_Plenary_Maren Radeny

  • 1. Uptake and Impact of CSA on Food Security, Incomes and Assets in East Africa Case Study from Nyando in Kenya Maren Radeny, John Recha and Dawit Solomon
  • 2. Introduction • Agricultural systems in EA are mainly rain-fed Highly vulnerable to climate variability and change Major climate-related risks: variable rainfall patterns, prolonged dry seasons, droughts, floods • CCAFS and partners have been working with communities in EA since 2011 Evaluate CSA technologies through the CSVs R4D approach - stress- tolerant crop varieties, improved small ruminants, integrated SWC • Objective - assess uptake and impact of CSA on HH food and nutrition security, income and assets Quasi-experimental approach - Statistical matching (PSM) and econometric modeling (ESR) to provide reliable estimates of impact
  • 3. Results: Trends in uptake of CSA 0 20 40 60 80 100 2011 2012 2013 2014 2015 2016 Percentofhouseholds Year 0 20 40 60 80 100 2011 2012 2013 2014 2015 2016 Percentofhouseholds No resilient livestock breed introduced Introduced at least one resilient breed Fig 1. Uptake of improved crop varieties Fig 2. Uptake of improved livestock breeds • Increased uptake of CSA, including improved agronomic and livestock management practices • CSA adoption influenced by HH socio-economic and institutional factors
  • 4. Results: Impacts of CSA • Multiple stress-tolerant crops – +significant impacts on all outcomes – food security (HDDS), assets and income • Improved small ruminants – +significant impacts on food security and assets; no effects on income • Integrated SWC – impacts insignificant • How can the CSA technologies be promoted for wider uptake, including feeding into policy processes • Need to strengthen other support services – climate information and agro-advisories, access to finance • Strengthening existing farmer experimentation networks & mobilizing farmers to work in groups
  • 5. Results: Impacts of CSA Without adoption With adoption Net Change (ATT) Crops HDDS 5.70 7.33 1.6*** Assets 4.94 25.53 20.6*** Income 26.06 40.50 14.4*** Livestock HDDS 4.70 7.59 2.9*** Assets 5.36 27.58 22.2*** *Income/AE in KES’000 **Household Dietary Diversity Score (HDDS)