1. Research Output #1 in ESA -Update from IFPRI- ESA Review and Planning Meeting, Mangochi, 14 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)  2 nd generation PMMT: improved, faster, off-line data entry  1 st 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

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. For beneficiaries in Malawi, the value of the harvest is increasing; and poverty levels are going down, compared to the control. ARBES

9. In Malawi, beneficiaries are adopting rotation and improved manure management practices ARBES

10. In Tanzania, beneficiaries are attaining higher maize yields 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.