Typology characterization of farmers in Africa RISING sites in Ghana

This document presents a summary of a typology study done using quantitative statistical methods (discussed below) applied to micro data from the Ghana Africa RISING Baseline Evaluation Survey (GARBES) (conducted in 2014) and secondary data on environmental/biophysical variables from various source....

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Detalles Bibliográficos
Autores principales: Signorelli, S., Azzarri, Carlo, Haile, Beliyou
Formato: Informe técnico
Lenguaje:Inglés
Publicado: International Institute of Tropical Agriculture 2016
Materias:
Acceso en línea:https://hdl.handle.net/10568/83139
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author Signorelli, S.
Azzarri, Carlo
Haile, Beliyou
author_browse Azzarri, Carlo
Haile, Beliyou
Signorelli, S.
author_facet Signorelli, S.
Azzarri, Carlo
Haile, Beliyou
author_sort Signorelli, S.
collection Repository of Agricultural Research Outputs (CGSpace)
description This document presents a summary of a typology study done using quantitative statistical methods (discussed below) applied to micro data from the Ghana Africa RISING Baseline Evaluation Survey (GARBES) (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 Ghana).
format Informe técnico
id CGSpace83139
institution CGIAR Consortium
language Inglés
publishDate 2016
publishDateRange 2016
publishDateSort 2016
publisher International Institute of Tropical Agriculture
publisherStr International Institute of Tropical Agriculture
record_format dspace
spelling CGSpace831392025-11-12T06:57:01Z Typology characterization of farmers in Africa RISING sites in Ghana Signorelli, S. Azzarri, Carlo Haile, Beliyou farming systems intensification livestock innovation farmers technology typology statistical methods This document presents a summary of a typology study done using quantitative statistical methods (discussed below) applied to micro data from the Ghana Africa RISING Baseline Evaluation Survey (GARBES) (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 Ghana). 2016-03-30 2017-08-15T08:03:00Z 2017-08-15T08:03:00Z Report https://hdl.handle.net/10568/83139 en https://hdl.handle.net/10568/83138 https://hdl.handle.net/10568/89965 https://hdl.handle.net/10568/83140 https://hdl.handle.net/10568/83145 Open Access application/pdf International Institute of Tropical Agriculture Signorelli, S., Azzarri, C. and Haile, B. 2016. Typology characterization of farmers in Africa RISING sites in Ghana. Ibadan, Nigeria: IITA.
spellingShingle farming systems
intensification
livestock
innovation
farmers
technology
typology
statistical methods
Signorelli, S.
Azzarri, Carlo
Haile, Beliyou
Typology characterization of farmers in Africa RISING sites in Ghana
title Typology characterization of farmers in Africa RISING sites in Ghana
title_full Typology characterization of farmers in Africa RISING sites in Ghana
title_fullStr Typology characterization of farmers in Africa RISING sites in Ghana
title_full_unstemmed Typology characterization of farmers in Africa RISING sites in Ghana
title_short Typology characterization of farmers in Africa RISING sites in Ghana
title_sort typology characterization of farmers in africa rising sites in ghana
topic farming systems
intensification
livestock
innovation
farmers
technology
typology
statistical methods
url https://hdl.handle.net/10568/83139
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