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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
Outline
• What’s RO1?• Progress so far
(M & E)• Way ahead
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 typologies4. Identify entry points for pathways5. Inventory of innovations6. Ex-ante potential of innovations7. Priority setting and planning for integrated systems
improvement8. Program-wide synthesis and co-learning
?
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?
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 l oca l 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 6 months), fulltime (more than 3 days/week):
Number of agricultural workers that last year worked most of the year (more than 6 months), partime (less than 3 days/week):
Number of agricultural workers that last year worked seasonally (less than 6 months), fulltime (more than 3 days/week):
Number of agricultural workers that last year worked seasonally (less than 6 months), partime (less than 3 days/week):
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.
In Malawi, beneficiaries are shifting towards higher value products and a more diverse diet
ARBES
For beneficiaries in Malawi, the value of the harvest is increasing; and poverty levels are going down, compared to the control.
050
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200
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Beneficiary Non-Beneficiary Control0
1020
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erty
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)Beneficiary Non-Beneficiary Control
Income and poverty
ARBES
In Malawi, beneficiaries are adopting rotation and improved manure management practices
ARBES
In Tanzania, beneficiaries are attaining higher maize yields
ARBES
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
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
Africa Research in Sustainable Intensification for the Next Generation
africa-rising.net
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