Presented by Carlo Azzarri, Beliyou Haile, Sara Signorelli, Cleo Roberts, Apurba Shee at the Africa RISING East and Southern Africa Review and Planning Meeting, Malawi, 14-16 July 2015

1. Africa RISING Research Output 1 in East
and Southern Africa: Update from IFPRI
Africa RISING East and Southern Africa Review and Planning Meeting,
Malawi, 14-16 July 2015
Carlo Azzarri, Beliyou Haile, Sara Signorelli,
Cleo Roberts, Apurba Shee

2. Outline
•What’s RO1?
•Progress so far
(M & E)
•Way ahead

3. What’s RO1
 Situation analysis and program synthesis: what’s that?
1. Determine development domains (agro-ecological potential,
market access, and population density)
2. Prioritize target areas (welfare, sustainability, farming
systems, degradation, governments’ & USAID priorities)
3. Develop farm household typologies
4. Identify entry points for pathways
5. Inventory of innovations
6. Ex-ante potential of innovations
7. Priority setting and planning for integrated systems
improvement
8. Program-wide synthesis and co-learning
?

4. Progress: M
 Data sharing and support (DMP, CKAN)
 2nd generation PMMT: improved, faster, off-line data entry
 1st version of SI indicators template shared with Coordinators and
Chief Scientists (->more next slide)
Questions: When shall teams start reporting on SI indicators?
Is reporting on the SI mandatory?
 Cost-Benefit Analysis (to assess “most promising” innovations)
Questions: Do we have information on innovations matched to
households (plus timing and quantity of “treatment”)?
Do we have information on farmer’s costs and benefits
for each innovation/package of innovations?
Do we know the administrative costs of each
innovation?

5. Progress: M
 SI indicators template
Section 3: Economic Aspects
Land and Harvest
Total land area cultivated last year: Total value of harvest last year:
Hectares local currency
Agricultural workers
Number of workers Number of workers
Number of workers Number of workers
Number of agricultural workers that last year
worked most of the year (more than 6months),
fulltime (more than 3days/week):
Number of agricultural workers that last year
worked most of the year (more than 6
months), partime (less than 3days/week):
Number of agricultural workers that last year
worked seasonally (less than 6months), fulltime
(more than 3days/week):
Number of agricultural workers that last year
worked seasonally (less than 6months),
partime (less than 3days/week):

6. Progress: E
 Malawi and Tanzania Africa RISING Baseline Evaluation
Surveys (ARBES)*->
-Malawi: 1,149 households in 54 communities
-Tanzania: 810 households in 25 communities
 Babati WTP for improved varieties, QPM, local fertilizer
 Analysis:
-Malawi targeting
-Malawi nutrition
-Malawi ex-ante simulation modeling
-Tanzania targeting
*Depending on the country, ARBES baseline data were collected after one or two (main season)
harvests since the program’s inception. Results shown hereafter are only from the baseline and,
hence, might encompass both the early impact of the program and the eventual systematic
targeting effect.

7. In Malawi,
beneficiaries are
shifting towards
higher value
products and a
more diverse diet
ARBES

8. Forbeneficiariesin
Malawi,thevalueof
theharvestis
increasing;and
povertylevelsare
goingdown,
comparedtothe
control.
0
50
100150200
Beneficiary Non-Beneficiary Control 0
102030405060
Povertyheadcount(%)
Beneficiary Non-Beneficiary Control
Income and poverty
ARBES

9. InMalawi,
beneficiariesare
adopting
rotationand
improved
manure
management
practices
ARBES

10. In Tanzania,
beneficiariesare
attaininghigher
maizeyields
ARBES

11. Monitoring
-PMMT taken-off last year, improved this year, with off-line data
entry
-SI indicators template to guide research teams’ data collection
-CBA of each innovation (and combination thereof)
Evaluation: targeting in Malawi and Tanzania
-Action communities different than control -the former more
remote, less populated and with higher rainfall- in Malawi; very
similar in Tanzania
-Beneficiaries seem to have different characteristics (better-off,
more educated, with higher wealth and larger land size) than
the general population in both countries
->Implications for scaling-up and external validity of ex-ante
evaluation?
Conclusions

12. M&E
-ARBES reports in draft mode (for Malawi -> Apurba):
need feedback from research teams for finalization and
diffusion
-ARBES public good/service for AR (MARBES & TARBES
data shared with MSU, IITA, ICRISAT, WUR, BioSight,
IAMM,…)
-CBA of innovations (need your support, let’s work
together!)
-Additional work on targeting in both countries, nutrition
in Malawi; WTP in Tanzania. Zambia?
-Ex-ante evaluation (ongoing)
Way ahead

13. Africa Research in Sustainable Intensification for the Next Generation
africa-rising.net
The presentation has a Creative Commons licence. You are free to re-use or distribute this work, provided credit is given to ILRI.