Agricultural data for Ethiopia, gathered from research institutes and government sources into one searchable catalogue.
1–5 of 5 datasets
CIMMYT Ethiopia
This workbook contains the data with sources, and calculations for the figures and tables for the manuscript with the above title
CIMMYT Ethiopia
In this study 220 urban consumers of Eldoret were asked i) about socioeconomic characteristics and nutritional knowledge, ii) evaluate five flours with two preparations using affective tests, iii) to provide willingness-to-pay for the five flours using with experimental auctions. The data contain a set for each of the three objectives. The first data set contains ID number and socioeconomic information of the participants, with one line per person (N = 220). The second data set contains the results of the affective tests. Five flours were used in the affected test: sifted conventional maize flour, sifted mixed (maize and sorghum flour) conventional flour, instant sifted mixed flour, instant whole mixed flour, and instant sifted mixed flour with food-to-food fortification. From each of the flours, two products were prepared: ugali (stiff porridge) or uji (liquid porridge). All participants were asked to evaluate the 5 x 2 = 10 preparations on five traits: appearance, texture in hand, aroma, texture in mouth, taste, and overall. The results are presented in one line per participant per product (220 x 5 = 1100 lines), with the results for ugali and uji in different columns. The third data set contains the WTP, elicited through an experimental auction using BDM, for the five flours. Participants were split into three information treatments: A1: WTP without information, A2: repeat WTP now with information, B: information from the start, each with 110 participants, so in total 3 treatments x 110 x 5 products = 1650 observations.
CIMMYT Ethiopia
Agriculture in eastern Africa is predominantly rainfed and maize is a major food crop, primarily produced for home consumption and the market by small-scale family farms. The study characterized farm households in the drought prone maize growing areas of eastern Africa synthesizing data from parallel household surveys in Ethiopia, Kenya, Uganda and Tanzania. The study provides a comparative analysis of the farm households’ assets, livelihood strategies and crop management practices, with an emphasis on maize and maize seed. This illustrates how farmers in a similar agro-ecological environment but with different socio-economic and institutional settings have variously adapted to living with drought and how the inherent weather risk co-determines the livelihood portfolio, agricultural intensification incentives and system development pathways. The study thereby illustrates the challenges for agricultural intensification in such drought prone environments and the scope for drought tolerant maize varieties and explores the research and development implications.
CIMMYT Ethiopia
This study examines the challenges and strategies of women postgraduate students in science, technology, engineering, and mathematics (STEM) in African institutions. Using a mixed-methods approach, it combines data from an online survey conducted in 2020 with 163 women STEM doctoral alumni from 40 universities in sub-Saharan Africa, with qualitative data from seven focus groups conducted in 2019/2020 with 39 master's and doctoral students in STEM at four universities in East and West Africa (Kenya, Rwanda, and Senegal). The study reveals common challenges such as financial stress, gender stereotypes, and harassment, and highlights the resilience and success strategies of these women, contributing to identifying best practices for promoting inclusion in STEM.
CIMMYT Ethiopia
This dataset investigates factors influencing the performance of doctoral students in Science, Technology, Engineering, and Mathematics (STEM) at African universities within sub-Saharan Africa, with a particular focus on gender-based differences. The data were collected from March to May 2020 using an online survey administered via SurveyMonkey. This survey was part of a larger research initiative undertaken by the Regional Scholarship and Innovation Fund (RSIF) to inform the development of a gender strategy for the program. RSIF, a flagship program of the Partnership for Skills in Applied Sciences, Engineering and Technology (PASET), aims to strengthen applied science, engineering, and technology (ASET) capabilities in Africa for socio-economic transformation. The survey, available in both English and French, was completed by 227 alumni (163 women and 64 men) who had pursued a STEM PhD at a university in sub-Saharan Africa within the last 20 years. Due to the absence of a comprehensive sample frame of recent PhD students in STEM at SSA universities, probability sampling was not feasible. Participants were recruited through multiple channels, including postings on the RSIF website, outreach to African university professors, collaborations with organizations promoting women in STEM (e.g., Mawazo Institute and Portia), and networks of former PhD students from the 11 RSIF African host universities (AHUs). The survey collected data on a wide range of variables, including: demographics, socioeconomic status, PhD funding sources, motivation for pursuing a doctorate, psychosocial wellbeing during PhD training, perceptions of gender stereotypes and discrimination, university resources (e.g., scientific writing courses, gender and diversity offices), PhD performance, PhD completion status, and persistence in STEM fields. Before participating in the survey, respondents were presented with a standard informed consent form outlining the study's voluntary nature, data confidentiality, potential risks and benefits, expected duration, and the types of information requested. Of the initial 262 individuals who completed the survey, the final sample comprised 227 respondents after removing those from universities outside of SSA.