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| − | + | =Farm typologies in Africa RISING= | |
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<span style="font-size: 1.3em; line-height: 1.5;">'''Introduction'''</span> | <span style="font-size: 1.3em; line-height: 1.5;">'''Introduction'''</span> | ||
<span style="display: block; text-align: justify;">Africa RISING is testing alternative technology options with heterogeneous populations of farmers that will likely respond to the technologies differently. The identification of different farmers' types within the program is therefore crucial to achieve the following goals:</span> | <span style="display: block; text-align: justify;">Africa RISING is testing alternative technology options with heterogeneous populations of farmers that will likely respond to the technologies differently. The identification of different farmers' types within the program is therefore crucial to achieve the following goals:</span> | ||
| − | *<span style="font-size: 14.66px;">Identify suitable farms to target innovations (ex-ante)</span><span style="font-size: 14.66px;">: we assume that not all innovations are appropriate for all farms, and that structuring into groups would support the identification of technology-specific suitable farming systems.</span> | + | * ======'''<span style="font-size: 14.66px;">Identify suitable farms to target innovations (ex-ante)</span>'''<span style="font-size: 14.66px;">: we assume that not all innovations are appropriate for all farms, and that structuring into groups would support the identification of technology-specific suitable farming systems.</span>====== |
| − | *<span style="font-size: 14.66px;">Scale out innovations</span><span style="font-size: 14.66px;">: on the basis of the heterogeneity in a population we can formulate extension messages, policies and other incentive schemes to further spread the use of designed innovations.</span> | + | * ======'''<span style="font-size: 14.66px;">Scale out innovations</span>'''<span style="font-size: 14.66px;">: on the basis of the heterogeneity in a population we can formulate extension messages, policies and other incentive schemes to further spread the use of designed innovations.</span>====== |
| − | *<span style="font-size: 14.66px;">Assess agro-economic effects</span><span style="font-size: 14.66px;"> '''(ex-post)''' Explaining trends and farmer ‘behavior’ (functional characteristics, including sustainable intensification indicators) and verification of the agro-economic effects of the interventions for different farm types.</span> | + | * ======'''<span style="font-size: 14.66px;">Assess agro-economic effects</span>'''<span style="font-size: 14.66px;"> '''(ex-post)''' Explaining trends and farmer ‘behavior’ (functional characteristics, including sustainable intensification indicators) and verification of the agro-economic effects of the interventions for different farm types.</span>====== |
IFPRI produced five typology reports, one for each AR country, that use the harmonized ARBES data (Africa RISING Baseline Evaluation Surveys) to produce statistical typologies of the farmers in each project area. Each report describes the methodology used to derive the groups as well as the main characteristic of each of the obtained types. These results await further validation and testing from the research teams. | IFPRI produced five typology reports, one for each AR country, that use the harmonized ARBES data (Africa RISING Baseline Evaluation Surveys) to produce statistical typologies of the farmers in each project area. Each report describes the methodology used to derive the groups as well as the main characteristic of each of the obtained types. These results await further validation and testing from the research teams. | ||
| − | + | ==Africa RISING typologies== | |
Here we want to provide an overview of the different typologies used: | Here we want to provide an overview of the different typologies used: | ||
[[:File:Typology Characterization Ethiopia_Final.pdf]] | [[:File:Typology Characterization Ethiopia_Final.pdf]] | ||
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[[:File:Typology Characterization Tanzania_Final.pdf]] | [[:File:Typology Characterization Tanzania_Final.pdf]] | ||
| − | + | ==Links to relevant materials== | |
https://cgspace.cgiar.org/handle/10568/67875 | https://cgspace.cgiar.org/handle/10568/67875 | ||
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'''<u><span style="font-size: 18.66px;">Overview of farm/household datasets and typologies in Africa RISING</span></u>''' | '''<u><span style="font-size: 18.66px;">Overview of farm/household datasets and typologies in Africa RISING</span></u>''' | ||
| − | + | '''Methods, protocols, procedures''' | |
<span style="font-size: 13.33px;">Protocol for statistical typology construction (CRP Humidtropics): [[http://humidtropics.cgiar.org/openaccess/?did=231]]</span> | <span style="font-size: 13.33px;">Protocol for statistical typology construction (CRP Humidtropics): [[http://humidtropics.cgiar.org/openaccess/?did=231]]</span> | ||
| − | + | '''Available datasets''' | |
| − | {| | + | {| |
| − | + | | '''<span style'''"font-size: 13.33px;">Country (region/district)</span>''' || '''<span style'''"font-size: 13.33px;">Teams</span>''' || '''<span style'''"font-size: 13.33px;">Size (n)</span>''' || '''<span style'''"font-size: 13.33px;">Type (techniques)</span>''' || '''<span style="font-size: 13.33px;">Objective/hypothesis</span>''' | |
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| − | |''' | + | | <span style'''"font-size: 13.33px;">Tanzania</span> || <span style'''"font-size: 13.33px;">IITA</span> || || <span style="font-size: 13.33px;">Participatory</span> || |
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| − | |Tanzania | + | | <span style'''"font-size: 13.33px;">Tanzania (Babati, Kongwa, Kiteto)</span> || <span style'''"font-size: 13.33px;">IFPRI</span> || <span style'''"font-size: 13.33px;">810</span> || <span style'''"font-size: 13.33px;">Statistical</span> || <span style="font-size: 13.33px;">To compare beneficiaries of AR '''agricultural technology''' innovations with randomly selected non-beneficiaries and control households</span> |
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| − | |Tanzania (Babati, Kongwa, Kiteto) | + | | <span style'''"font-size: 13.33px;">Tanzania (Babati, Kongwa, Kiteto)</span> || <span style'''"font-size: 13.33px;">WUR</span> || <span style'''"font-size: 13.33px;">160</span> || <span style'''"font-size: 13.33px;">Statistical (PCA, HC)</span> || <span style="font-size: 13.33px;">To provide a starting point for evaluation of '''agronomic interventions''' and tradeoff analysis as affected by farm endowment</span> |
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| − | |Statistical | ||
| − | |To | ||
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| − | |Tanzania (Babati | + | | <span style'''"font-size: 13.33px;">Tanzania (Babati)</span> || <span style'''"font-size: 13.33px;">WUR/CIAT</span> || <span style'''"font-size: 13.33px;">120</span> || <span style'''"font-size: 13.33px;">Statistical (PCA, HC)</span> || <span style="font-size: 13.33px;">To provide a starting point for evaluation of '''animal feeding''' interventions and tradeoff analysis as affected by farm endowment</span> |
| − | |WUR | ||
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| − | |Statistical (PCA, HC) | ||
| − | |To provide a starting point for evaluation of | ||
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| − | | | + | | <span style'''"font-size: 13.33px;">Malawi (Dedza, Ntcheu)</span> || <span style'''"font-size: 13.33px;">IFPRI</span> || <span style'''"font-size: 13.33px;">1149</span> || <span style'''"font-size: 13.33px;">Statistical</span> || <span style="font-size: 13.33px;">To compare beneficiaries of AR agricultural technology innovations with randomly selected non-beneficiaries and control households</span> |
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| − | |Statistical | ||
| − | |To | ||
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| − | |Malawi | + | | <span style'''"font-size: 13.33px;">Malawi</span> || <span style'''"font-size: 13.33px;">MSU</span> || || || |
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| − | |Malawi | + | | <span style'''"font-size: 13.33px;">Malawi (Dedza, Ntcheu)</span> || <span style'''"font-size: 13.33px;">WUR</span> || <span style'''"font-size: 13.33px;">80</span> || <span style'''"font-size: 13.33px;">Statistical (PCA, HC)</span> || <span style="font-size: 13.33px;">To provide a starting point for evaluation of '''agronomic interventions''' and tradeoff analysis as affected by farm endowment</span> |
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| − | | | + | | Ethiopia || ILRI || c.500 || Participatory / Statistical based on livelihoods capital assets || Community characterisation and stratification. |
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| − | |Statistical | ||
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| − | |Ethiopia | + | | Ethiopia || ILRI || c. 200 || Statistical (study baseline) || Explaining experiences / uptake of tree lucerne. |
| − | |ILRI | ||
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| − | | | + | | <span style'''"font-size: 13.33px;">Ghana (UE, UW, NR)</span> || <span style'''"font-size: 13.33px;">WUR</span> || <span style'''"font-size: 13.33px;">240</span> || <span style'''"font-size: 13.33px;">Statistical (PCA, HC)</span> || <span style="font-size: 13.33px;">To provide a starting point for evaluation of '''agronomic interventions''' and tradeoff analysis as affected by farm endowment</span> |
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| − | |Statistical ( | ||
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| − | |Ghana ( | + | | <span style'''"font-size: 13.33px;">Ghana (Northern Region)</span> || <span style'''"font-size: 13.33px;">WUR</span> || <span style'''"font-size: 13.33px;">80</span> || <span style'''"font-size: 13.33px;">Participatory</span> || <span style="font-size: 13.33px;">To assess the community perspective on the diversity of farms and households; verification of statistical typology</span> |
| − | |WUR | ||
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| − | |To | ||
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| − | |Ghana ( | + | | Ghana (UE, UW, NR) || IFPRI || 1284 || <span style'''"font-size: 13.33px;">Statistical</span> || <span style'''"font-size: 13.33px;">To compare beneficiaries of AR agricultural technology innovations with randomly selected non-beneficiaries and control households</span> |
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| − | + | '''Typologies''' | |
'''Agenda of typologies meeting''' | '''Agenda of typologies meeting''' | ||
