Africa RISING Research Output 1 in East and Southern Africa: Update from IFPRI

Africa RISING Research Output 1 in East and Southern Africa: Update from IFPRI

• 1.
  Africa RISING ResearchOutput 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 sofar (M & E) •Way ahead
• 3.
  What’s RO1  Situationanalysis 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  Datasharing 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  SIindicators 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  Malawiand 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 shiftingtowards 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 Control0 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 lastyear, 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 indraft 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 inSustainable 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.