Assessing the performance of agricultural advisory models for scaling-out conservation agriculture with trees in East Africa (Kenya)

Title
Assessing the performance of agricultural advisory models for scaling-out conservation agriculture with trees in East Africa (Kenya)
Publication Date
2018
Author(s)
Bourne, Mieke
Prior, Julian
Lobry De Bruyn, Lisa
( supervisor )
OrcID: https://orcid.org/0000-0003-0173-2863
Email: llobryde@une.edu.au
UNE Id une-id:llobryde
Abstract
This data is a subset of a larger dataset. The social network data can be accessed in part here: https://doi.org/10.34725/DVN/3TN6OT, and part here https://doi.org/10.34725/DVN/UZ89ES.
Type of document
Dataset
Language
en
Entity Type
Publication
Publisher
University of New England
Place of publication
Armidale, Australia
DOI
10.25952/5def2986b699c
UNE publication id
une:1959.11/27893
Abstract
A survey of 292 respondents, that were members of farmer groups, and had been provided advisory services and CAWT training under either Landcare, FFS or traditional Ministry of Agriculture models took place (the survey is an appendix within the thesis). Respondents were selected using gender-based stratification and then random selection. Baseline and endline (post-intervention) data was collected from farmers that were within selected groups and were offered training on CAWT. Data was collected on a number of household parameters, land management, access to information and training and social networks for information sharing. The data sets are separated into the data used for the regression analysis on agroforestry and Conservation Agriculture understanding and practice and social network analysis (SNA).
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