- 2008 (0)
- 2009 (5) Apply 2009 filter
- 2010 (3) Apply 2010 filter
- 2011 (0)
- 2012 (0)
- 2013 (1) Apply 2013 filter
- 2014 (0)
- 2015 (0)
- 2016 (3) Apply 2016 filter
- 2017 (0)
- 2018 (0)
- 2019 (0)
- 2020 (0)
- 2021 (1) Apply 2021 filter
- Development Finance & Policy (3) Apply Development Finance & Policy filter
- Aid & Other Development Finance (2) Apply Aid & Other Development Finance filter
- Global & Regional Public Goods (0)
- Monitoring & Evaluation (0)
- Political Economy & Governance (3) Apply Political Economy & Governance filter
- (-) Remove Household Well-Being & Equity filter Household Well-Being & Equity
- Education & Training (1) Apply Education & Training filter
- Food Security & Nutrition (6) Apply Food Security & Nutrition filter
- (-) Remove Gender filter Gender
- Health (3) Apply Health filter
- Labor & Time Use (10) Apply Labor & Time Use filter
- Poverty (2) Apply Poverty filter
- Risk, Preferences, & Decision-Making (3) Apply Risk, Preferences, & Decision-Making filter
- Sustainable Agriculture & Rural Livelihoods (36) Apply Sustainable Agriculture & Rural Livelihoods filter
- Agricultural Inputs & Farm Management (12) Apply Agricultural Inputs & Farm Management filter
- Agricultural Productivity, Yield, & Constraints (5) Apply Agricultural Productivity, Yield, & Constraints filter
- Environment & Climate Change (2) Apply Environment & Climate Change filter
- Finance & Investment (1) Apply Finance & Investment filter
- Market & Value Chain Analysis (31) Apply Market & Value Chain Analysis filter
- (-) Remove Technology filter Technology
- Countries/Governments (0)
- Rural Populations (0)
- Smallholder Farmers (1) Apply Smallholder Farmers filter
- Women (10) Apply Women filter
Types of Research
- East Africa Region and Selected Countries (1) Apply East Africa Region and Selected Countries filter
- Global (0)
- South Asia Region and Selected Countries (0)
- Southern Africa Region and Selected Countries (0)
- Sub-Saharan Africa (8) Apply Sub-Saharan Africa filter
- West Africa Region and Selected Countries (0)
- ASTI (0)
- FAOSTAT (0)
- Farmer First (1) Apply Farmer First filter
- LSMS & LSMS-ISA (0)
- Other Datasets (0)
- (-) Remove Gender filter Gender
- (-) Remove Research Brief filter Research Brief
- (-) Remove Technology Adoption filter Technology Adoption
This document is an initial scoping of the theory and evidence linking digital services to women’s rural-to-urban migration. The document contains (1) a survey of the literature on digital financial services to discern how often this body of literature considers gender-disaggregated impacts on migration, (2) a detailed review of 13 hypotheses regarding the effects of digital services on women’s migration to cities, and (3) an illustrative overview of rural-urban migration patterns and digital technology usage in two East African countries (Ethiopia and Tanzania).
This brief presents an overview of EPAR’s previous research related to gender. We first present our key takeaways related to labor and time use, technology adoption, agricultural production, control over income and assets, health and nutrition, and data collection. We then provide a brief overview of each previous research project related to gender along with gender-related findings, starting with the most recent project. Many of the gender-related findings draw from other sources; please see the full documents for references. Reports available on EPAR’s website are hyperlinked in the full brief.
This four-part analysis describes the current suite of food security measures, then analyzes the respective relationships between food security and poverty, GDP, and crop yields using findings from in-depth literature reviews. Food security measures are criticized for inaccurately characterizing food security at individual, household, and national scales, yet guidelines exist to prescribe a food security measure for a given situation. Some authors see the potential of a combination of indicators that apply at different scales rather than a single, universal food security measure. Limited literature exists on the relationship between food security and poverty, GDP, or crop yields. The relationship between food security and poverty is particularly challenging because neither term has a consistent definition, and the limited literature suggests a lack of consensus among experts. Little empirical research exists on the relationship between food security and GDP, though studies generally note an association between the two Studies that evaluate food security and crop yields provide limited evidence that the two are associated, though many studies use measures of crop yield as food security indicators and vice versa. More research is needed to establish whether there are preferred food security measurement tools for specific scales and situations, and to further explore the relationship between food security and poverty, GDP, and crop yields.
This brief summarizes the evidence base for various types of commonly-used time use measurements, lists categories of time use as identified by major organizations and reports, and identifies studies finding significant impacts of interventions designed to reduce specific time constraints. The various approaches to time use measurement method each have different limitations (cost, timing, seasonality, susceptibility to recall bias, etc.), which may have implications for data analysis. The choice of how to measure time use may be particularly important for analyzing women’s time use. For example, limiting respondents to one activity per time slot when measuring daily time allocation may underestimate women's productivity or time allocations, as they are more likely than men to conduct simultaneous activities, such as childcare along with other activities.
Consumer attitudes are a key component in private sector market segmentation. Knowledge about consumers’ tastes can lead to better product design and more effective communication with target markets. Similarly, evidence suggests that farmers’ attitudes influence whether they adopt productivity-increasing technologies. Using consumer insights from the private sector, agricultural intervention programs can use market research, product development, and communication strategies to better understand farmers as consumers and best target interventions. This brief provides an overview of how farmers' attitudes affect their willingness to adopt new technology, and how knowledge of farmer attitudes can improve program design and implementation.
Introducing technology that is designed to be physically appropriate and valuable to women farmers can increase yields and raise income. But gender issues for agricultural technology projects in Sub-Saharan Africa (SSA) are extremely complex. The EPAR series on Gender and Cropping in SSA offers examples of how these issues can affect crop production and adoption of agricultural technologies at each point in the crop cycle for eight crops (cassava, cotton, maize, millet, rice, sorghum, wheat, and yam). This executive summary highlights innovative opportunities for interventions that consider these dimensions of gender. We encourage readers to consult the crop specific briefs for more details. We find that involving both men and women in the development, testing, and dissemination of agricultural technology has been shown to be successful in helping both benefit. Nevertheless, a consistent finding throughout the Gender and Cropping in SSA series is that maximum benefits from technological innovations cannot be realized when upstream factors like education, power, and land tenure heavily influence outcomes. Addressing these more basic upstream causes of gender inequality may be even more important in helping households increase productivity and maximize the benefits of technological interventions.
A widely quoted estimate is that women produce 70 to 80 percent of Sub-Saharan Africa’s (SSA) food. Increasing farmer productivity in SSA therefore requires understanding how these women make planting, harvesting, and other decisions that affect the production, consumption, and marketing of their crops. This brief provides an overview of the gender cropping series highlighting similar themes from the various crops studied, presenting an overarching summary of the findings and conclusion of the individual literature reviews. The studies reviewed suggest that differential preferences and access to assets by men and women can affect adoption levels and the benefits that accrue to men and women. Findings show that women have less secure access to credit, land, inputs, extension, and markets. Similarly, women’s multi-faceted role in household management gives rise to preferences that may very well be different from those of men. Participatory Breeding and Participatory Varietal Selection are two methods shown to be successful in developing technology that is more appropriate and more likely to avoid unintended consequences. Regularly collecting gender-disaggregated statistics can also result in a greater understanding of how technology has affected both men and women. Agricultural technology has the potential to enhance both men’s and women’s welfare and productivity, but unless gender is sufficiently integrated into every step of the development and dissemination process, efforts will only achieve a fraction of their total possible benefit.
Estimates suggest that women grow 70-80 percent of Africa’s food crops, which may constrain their involvement in cash crop production, if food crop production places additional demands their time, resources and labor. There is little evidence regarding women’s motivations or decisions to grow cash versus food crops. Similarly, the policy literature on cotton production and markets in Sub-Saharan Africa (SSA) does not explicitly address the issue of gender, further limiting the information available on the impact of cotton production on women. This brief provides an overview of the role of women in cotton production, and provides a framework for analyzing barriers to women and technology’s impact on women throughout the cropping cycle. We find that women are typically not the primary cultivators of cotton, and that cotton production is a household cultivation strategy, especially in West and Central Africa. Cotton cultivation often provides access to fertilizers, pesticides and extension services that are otherwise unavailable to households. Women have benefitted from household cotton income when they have input in intra-household resource allocation decisions or when they are able to grow cotton on personal plots and have control over the income it generates. Women also benefit from cotton when it offers them the opportunity to engage in paid labor. The data suggests, however, that cotton cultivation can negatively impact women when it increases their unpaid agricultural labor burden or exposes them to harmful chemicals.
Yam is a major staple in West and Central Africa and an important supplementary food in East Africa. In Sub-Saharan Africa (SSA), virtually all yams are produced for human consumption, with women responsible for processing yams for consumption. This brief provides an overview of the role of women in yam production, and provides a framework for analyzing barriers to women and technology’s impact on women throughout the cropping cycle. We find that though yam was traditionally considered a man’s crop, it is clear that women farmers contribute greatly to yam cultivation, especially during weeding, harvesting, and processing. Propagation of improved varieties with resistance to pests and diseases like yam mosaic disease has great potential to benefit women farmers. Increased yields and lower post-harvest losses will increase household food security. However, because yams extract high amounts of nutrients from the soil, soil and land management techniques are necessary to ensure future gains in yield. Women’s groups serve as potential venues for dissemination of new yam cultivation and processing technologies. Additionally, women’s groups can undertake new propagation techniques as income generating activities. Women farmers need increased extension efforts to fully benefit from technology improvements.
The millets, a group of small-seeded grasses indigenous to Africa, are an extremely important staple food in resource-poor regions of Sub-Saharan Africa (SSA). Millet requires few inputs, suffers less from insect pests and disease than other grains, and can tolerate areas even too hot and dry for sorghum. These characteristics make millet an essential component of food security and risk management strategies for many Africans, though both consumption and production per capita of millet has declined in the last 20 years as farmers have shifted toward maize and rice production. This brief provides an overview of the role of women in millet production, and provides a framework for analyzing barriers to women and technology’s impact on women throughout the cropping cycle. We find that the shift away from millet may result in poorer nutrition and increased time burden for women where they must find alternatives to millet fuel, but that little is known about these consequences. Investing in improved varieties that account for both men’s and women’s preferences, introducing labor-saving technology, and increasing market access all have the potential to increase millet’s production and consumption on the continent.