Typology characterization of farmers in Africa RISING sites in Ethiopia
cg.authorship.types | CGIAR single centre | en |
cg.contributor.affiliation | International Food Policy Research Institute | en |
cg.contributor.crp | Integrated Systems for the Humid Tropics | |
cg.contributor.donor | United States Agency for International Development | en |
cg.coverage.country | Ethiopia | |
cg.coverage.iso3166-alpha2 | ET | |
cg.coverage.region | Africa | |
cg.coverage.region | Eastern Africa | |
cg.coverage.region | Sub-Saharan Africa | |
cg.creator.identifier | 0000-0002-0478-213X | en |
cg.creator.identifier | Carlo Azzarri: 0000-0002-0345-1304 | en |
cg.creator.identifier | Beliyou Haile: 0000-0003-4949-6740 | en |
cg.howPublished | Grey Literature | en |
cg.identifier.project | IFPRI - Environment and Production Technology Division | en |
cg.identifier.project | IFPRI - Africa Rising | en |
cg.identifier.project | IFPRI - Feed the Future | en |
cg.identifier.publicationRank | Not ranked | en |
cg.place | Ibadan, Nigeria | en |
cg.reviewStatus | Internal Review | en |
cg.subject.ilri | CROPS | en |
cg.subject.ilri | FARMING SYSTEMS | en |
cg.subject.ilri | INTENSIFICATION | en |
cg.subject.ilri | LIVESTOCK | en |
dc.contributor.author | Signorelli, S. | en |
dc.contributor.author | Azzarri, Carlo | en |
dc.contributor.author | Haile, Beliyou | en |
dc.date.accessioned | 2017-08-15T08:10:57Z | en |
dc.date.available | 2017-08-15T08:10:57Z | en |
dc.identifier.uri | https://hdl.handle.net/10568/83145 | |
dc.title | Typology characterization of farmers in Africa RISING sites in Ethiopia | en |
dcterms.abstract | This document presents a summary of a typology study done using quantitative statistical methods (discussed below) applied to micro data from the Ethiopia Africa RISING Baseline Evaluation Survey (EARBES) (conducted in 2014) and secondary data on environmental/biophysical variables from various source. The quantitative approaches have the advantage that they are reproducible and do not impose any ex-ante structure to the clustering process, while more qualitative approaches can potentially incorporate less tangible insights such as cultural patterns. Once the different farm types are identified through systematic quantitative analysis, they need to be validated with input from Africa RISING colleagues (especially working in Ethiopia). | en |
dcterms.accessRights | Open Access | |
dcterms.audience | Scientists | en |
dcterms.bibliographicCitation | Signorelli, S., Azzarri, C. and Haile, B. 2016. Typology characterization of farmers in Africa RISING sites in Ethiopia. Ibadan, Nigeria: IITA. | en |
dcterms.issued | 2016-04-30 | en |
dcterms.language | en | |
dcterms.license | CC-BY-4.0 | |
dcterms.publisher | International Institute of Tropical Agriculture | en |
dcterms.relation | https://hdl.handle.net/10568/89965 | en |
dcterms.relation | https://hdl.handle.net/10568/83140 | en |
dcterms.relation | https://hdl.handle.net/10568/83139 | en |
dcterms.relation | https://hdl.handle.net/10568/83138 | en |
dcterms.replaces | https://ebrary.ifpri.org/digital/collection/p15738coll5/id/7086 | en |
dcterms.subject | farming systems | en |
dcterms.subject | intensification | en |
dcterms.subject | livestock | en |
dcterms.subject | innovation | en |
dcterms.subject | farmers | en |
dcterms.subject | technology | en |
dcterms.subject | typology | en |
dcterms.subject | statistical methods | en |
dcterms.type | Report |