Africa RISING Baseline Survey Data Summary—Ghana and Mali

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Africa RISING Baseline Survey Data SummaryGhana and MaliApurba Shee, IFPRI

Africa RISING West Africa Project Annual Review and Planning Meeting, Accra, Ghana, 24-25 March 2015

1Ghana AR baseline survey data summaryMali AR baseline survey data summaryTypologyProject Mapping and Monitoring Tool (PMMT)Concluding comments

OutlineGhana baseline survey data3Sampling design- Four groups of households are surveyed: AR beneficiaries in 2013, AR beneficiaries in 2014, AR non-beneficiaries in treatment sites, and non-beneficiaries in control sites Summary of baseline results3

Sample size and distribution of householdsDue to revised administrative classification of districts just before data collection, 4 control communities fall under northern region instead on Upper East regionYield for five main cropsExcept maize and groundnut AR beneficiaries seem to have higher productivity compared to control householdsComponent share of harvest for average of four main crops (maize, rice, groundnut, bean)AR households tend to sell less and consume moreAverage number of livestock owned by householdAR beneficiary households tend to raise more livestock than control householdsFeeding practices- percentage of householdsGrazing/open air is the main feeding practice followed by crop residue

Ranking of HH among 5 dimensions: Beneficiaries seem to be better off on productivity and market access but they seem to be worse off on other dimensions

Beneficiaries seem to be better off on productivity, market access and education but they seem to be worse off on other dimensions

Beneficiaries seem to be better off on market access only but they seem to be worse off on other dimensions; indicates not to have significant bias in targeting Mali baseline survey data12Sampling design- two groups of households are surveyed: AR beneficiaries in treatment sites and non-beneficiaries in control sites Summary of baseline results1213Sample size and distribution of households

Some household level summary

Yield for key cropsExcept sorghum AR beneficiary households have higher productivity compared to control households

Beneficiaries seem to be better off on productivity, market access and education but they seem to be worse off on economic and environment17Dealing with farm diversity using typologyObjective of the typologies: good fit between targeted farmers and appropriate interventions; socioeconomic stratificationThe typologies are can be based following variables:Non-ag wealth, hh size, land size, cereals production, % prevalence of hired labor, total TLUTypologies should be tailored to the type of interventions, local conditions and specific needsFor future scale up typology will be helpful for selectionPlanning for dedicated research on this; discussing collaboration opportunity with WUR

AR Project Mapping and Monitoring Tool (PMMT)Developed an open-access website for storing and mapping project dataMapping application- to contextualize where AR activities are taking place and view data to themData entry application- users can add additional data through step-by-step interface

Baseline data provide current status of the treatment and control households for evaluation of AR program effortsData collected at the community level (through focus group discussion) confirm the household level findingsPreliminary analysis shows some clear differences between households benefitting from AR and control householdsOverall, AR beneficiary households cultivate more lands, plant more diverse set of crops, use more inputs and produce better crop yields than their control counterparts. With the present evaluation design along with both household and community level data will be used to evaluate overall effectiveness of AR program

Concluding comments on baseline survey dataThank YouAfrica Research in Sustainable Intensification for the Next Generationafrica-rising.netThe presentation has a Creative Commons licence. You are free to re-use or distribute this work, provided credit is given to ILRI.