Gender Evaluation of Maize Leaf Stripping Practices 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 Open
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 number of farmers involved in the technologies is 93 (27 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 4 districts for the study. The sample of 60 farmers represents 56% of the target
Unit of analysis Individuals Households
Universe Farmers in Northern Ghana
Contact point Fischer, Gundula
DOI https://doi.org/10.7910/DVN/JNEVG3
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 Maize Leaf Stripping Practices in Northern Ghana. Washington, DC: International Food Policy Research Institute (IFPRI) [dataset]. https://doi.org/10.7910/DVN/JNEVG3. Harvard Dataverse. Version 1.

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Abstract

Through research and scaling, Africa RISING strives to create opportunities for smallholder farm households to move out of hunger and poverty. However, knowledge about gendered differences in the adoption of intensification practices is still limited and often based on results from quantitative studies only. The evaluation is to gain an in-depth understanding of gender issues surrounding the adoption and sustainability of maize leaf stripping technologies on the household as well as community level. This includes an understanding of intra-household decision-making and labor allocation; access to resources, participation as well as benefit-sharing among male and female households and community members. The data covers basic demographic information, general farm system description, gender and household processes, and market participation of 60 farmers involved in maize leaf stripping in Northern Ghana. The main data generation strategy of this study was focus group discussions.