Gender Evaluation of Cowpea Living Mulch in Northern Ghana

Author(s)
  • International Institute of Tropical Agriculture (IITA)
Release Year 2019
Regions
  • Western Africa
  • Sub-Saharan Africa
  • Africa
  • World
Themes
  • Nutrition and health
Source HARVARD Dataverse
Data collection period -
Temporal coverage -
Usage Rights
Access Limited
License CC-BY
Disclaimer The data files in this dataset are the unit record or ‘raw’ data files. Information that would allow survey respondents to be identified has been deleted from the files, but all other information remains. The user of these files will need to take care in handling missing observations, outliers, and violations of logical consistency.
Methodology
Sampling The population is 77 farmers (50 females) from 12 communities in six districts. The type of technology, the male and female farmer population was considered in the selection of 6 communities from 5 districts for the study. The sample of 74 farmers represent 96% of the target
Unit of analysis Individuals Households
Universe Farmers in Northern Ghana
Contact point Fischer, Gundula
DOI https://doi.org/10.7910/DVN/TKYJ8Q
Funding Organisations United States Agency for International Development (USAID)
Providers International Food Policy Research Institute (IFPRI)
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full citation International Institute of Tropical Agriculture (IITA). 2021. Gender Evaluation of Living Mulch in Northern Ghana. Washington, DC: International Food Policy Research Institute (IFPRI) [dataset]. https://doi.org/10.7910/DVN/TKYJ8Q. Harvard Dataverse. Version 1.

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Abstract

This dataset is generated from the research study conducted to understand gender issues surrounding the adoption and sustainability of living mulch technologies at the household as well as community level. The survey was conducted among farmers who were practicing living mulch in Northern Ghana. Data were collected from 77 farmers in 12 communities across six districts from Jan-Feb, 2019. The data collected include demographic information, general farm system description, gender and household processes, and market participation among others. The main data generation strategy of this study was focus group discussions.