The Role of Gender Analysis in Women-Centered Income Generation Projects

When designing income generation projects (IGPs) for women, good intentions alone are not enough. A project that ignores how labor is divided, how income flows within a household, or who actually controls productive resources will likely fail to deliver meaningful change – or worse, add to women’s existing burdens. This is where gender analysis comes in. It is the systematic process of examining differences between women and men in their roles, access to resources, and decision-making power, with the explicit goal of designing interventions that work for both. For women-centered IGPs, it is not a nice-to-have – it is the foundation.

What gender analysis actually means in project design 🔗

The European Institute for Gender Equality (EIGE) defines gender analysis as the study of differences in the conditions, needs, participation rates, access to resources, control of assets, and decision-making powers between women and men within their assigned gender roles. In the context of income generation, it means asking hard, specific questions before a project is designed: Who is doing which work? Who earns from it? Who decides how that income is spent? The answers shape whether a project empowers women or simply adds unpaid labor to their already full plates.

One of the most widely used tools for conducting this type of analysis is the Harvard Analytical Framework, developed in the 1980s through a collaboration between Harvard University and USAID’s Women in Development office. It organizes information into three key components: an Activity Profile (who does what), an Access and Control Profile (who uses and controls resources), and an Influencing Factors Profile (what social, economic, and cultural forces shape those roles). Each of these dimensions directly informs how a women-centered IGP should be structured.

Understanding labor division: who does what, and at what cost? 🔗

The gender division of labor is not fixed – as FAO notes, it is specific to each culture and community, and it shifts with changing household conditions like illness, income fluctuation, or the introduction of a development project. This flexibility matters for IGP design because it means labor roles can be renegotiated – but only if planners understand what they are starting with.

Gender analysis maps three types of work: productive work (income-generating activities like farming, crafts, or trade), reproductive work (unpaid care and household tasks), and community work (voluntary civic and social roles). Women typically carry the majority of reproductive work. Research using time diary data shows that after the birth of a first child, women take on over two additional hours of work per day compared to approximately 40 minutes for men – and this gap persists even when both partners are employed.

This has direct consequences for IGPs. When a project adds income-generating tasks to women’s existing workload without accounting for their domestic responsibilities, participation drops, productivity suffers, and women burn out. FAO’s gender analysis tools explicitly flag this: any intervention in one area of work affects the others, and women’s workloads can prevent them from participating in development projects at all. A well-designed IGP therefore conducts an activity profile first – mapping who does each task, how many hours it takes, and whether it is seasonal or year-round – before layering on new income activities.

Productive versus reproductive labor: the visibility problem 🔗

A persistent challenge in IGP design is that women’s productive contributions are often invisible or undervalued. In many agricultural and rural contexts, women handle post-harvest processing, local market trade, and food production for household consumption – activities that are economically critical but rarely show up in standard economic data. Research on gendered work division identifies several reasons for this: the work does not involve a direct monetary exchange, it is done in private spaces, and it tends to be framed culturally as a “natural” extension of care rather than skilled labor.

For IGP planners, this means that baseline assessments must go beyond formal employment data. A participatory activity profile – where women and men in a community map their own time use – often reveals productive work by women that no official survey has captured. Making this work visible is both a data task and, as FAO notes, a direct contribution to women’s consciousness-raising and empowerment.

Evaluating income and expenditure: how women and men earn, spend, and save differently 🔗

Gender analysis does not stop at labor. It also examines how income flows – who earns it, in what form, and how it is spent within the household. These patterns are not uniform, and understanding them changes what kind of IGP is most effective.

UN Women reports that globally, women’s labor force participation has remained around 50 percent since 1990, compared to 80 percent for men. Women are also overrepresented in informal, part-time, and lower-wage work. This means that even when women participate in IGPs, their earnings may be structurally lower – not because the project fails, but because structural barriers suppress what women can earn before the project even begins.

Beyond earnings, research consistently shows differences in how women allocate income when they do control it. Studies using Brazilian household data found that increased income in women’s hands led to a larger share of the household budget going toward health, education, and food for children – outcomes that benefit the entire family. This is a critical insight for IGP designers: directing income toward women does not just benefit women. It changes household investment patterns in ways that have broader development impacts.

Savings, credit, and financial access 🔗

Women’s relationship with savings and credit is also shaped by gender. The World Bank identifies limited access to financial services as one of the primary barriers to women’s economic participation – alongside unpaid care responsibilities and restrictive social norms. In many communities, women may earn income through craft or food production but have no formal savings account, no access to credit in their own name, and no way to invest in or expand an income-generating activity.

Gender analysis of income and expenditure within an IGP therefore needs to ask: Do women have access to savings mechanisms? Can they take credit in their own name? Are there household norms that redirect women’s earnings to male household members? Answering these questions before designing a project prevents common failures – like distributing microloans that women technically receive but that are immediately handed over to husbands, with women left to repay them.

Control over resources and decision-making: the deepest layer of analysis 🔗

Access and control are not the same thing. Women may have access to a resource – land to farm, tools to use, a savings group to join – without having control over how that resource is used or what decisions are made about it. FAO’s gender analysis guidelines make this distinction clearly: lack of information about women’s actual access and control has led to many incorrect assumptions about what women can achieve in development projects, and what they will be able to benefit from.

The Harvard Analytical Framework’s Access and Control Profile is designed specifically to map this gap. It identifies the resources needed to carry out tasks, who can use those resources, and – critically – who has the final say over their use. Resources include land, equipment, credit, training, and time. Benefits include income, status, and skill development. In many contexts, women have access to resources but not control over them. A woman may work the land but not own it. She may earn from a market stall but hand income to a male relative for safekeeping.

Decision-making within households and projects 🔗

Decision-making power within households is closely tied to income and resource control. Research analyzing data from 27 European countries found that women who contribute a larger share of household income are more likely to have a say in major financial decisions – but the relationship is not linear. Social norms can override economic contributions, meaning that even when women earn more, cultural expectations about gender roles can still suppress their decision-making authority.

This dynamic plays out directly in IGPs. A project may formally include women as participants, but if community norms prevent women from attending meetings, speaking in mixed groups, or making decisions without male approval, participation will be superficial. EIGE’s guidance on gender analysis explicitly identifies this as a key assessment area: evaluating whether women can fully participate in and benefit from a project requires understanding not just formal access, but informal norms that shape who actually makes decisions.

Strategic versus practical gender needs 🔗

Caroline Moser’s gender planning framework, built on the Harvard model, introduces a useful distinction here between practical gender needs and strategic gender needs. Practical needs are immediate – access to tools, income, training. Strategic needs are structural – equal decision-making, land rights, freedom from violence. Most IGPs address practical needs. But without attention to strategic needs, practical interventions often reinforce the same unequal structures they were meant to change.

A women’s weaving cooperative, for instance, may increase household income. But if women have no control over that income, no voice in how the cooperative is run, and no protection when male family members claim their earnings, the project’s impact on gender equality is minimal. Gender analysis identifies these strategic gaps upfront, so that IGP design can include components that address them – whether through leadership training for women, community dialogue on gender norms, or formal inclusion of women in governance structures.

From analysis to design: making gender analysis actionable 🔗

Gender analysis is only useful if its findings shape what happens next. For IGPs, this means translating the activity profile, income analysis, and access-control assessment into concrete design choices. If the analysis shows women have no time due to domestic responsibilities, the project needs flexible schedules or childcare support. If women lack access to credit, the project needs a financial services component. If women are excluded from decision-making, the project needs formal representation mechanisms – not token seats, but real authority.

UN Women defines women’s economic empowerment as ensuring women can participate in and benefit from decent work, access markets, have control over resources and their time, and participate meaningfully in economic decision-making at all levels. Each element of this definition maps directly onto the three areas that gender analysis examines. Labor division shapes participation. Income and expenditure patterns shape who benefits. Control over resources shapes decision-making power.

The stakes are significant. Estimates suggest that closing the global gender gap could add USD 7 trillion to the world economy. At the household level, the effects of women’s economic empowerment ripple out into children’s health, educational outcomes, and community development. IGPs that skip gender analysis risk not just missing these gains – they risk actively reproducing inequality by adding to women’s burdens without improving their position.

Why gender analysis is non-negotiable for women-centered IGPs 🔗

Income generation projects designed without gender analysis tend to treat women as a homogeneous group with identical needs and circumstances. They miss the unpaid labor that consumes women’s time before the project starts. They overlook the household dynamics that redirect women’s earnings. They assume that project participation equals benefit – when women may participate heavily but see little of the income or autonomy. Gender analysis corrects these blind spots systematically, not after the fact, but at the design stage when changes are still possible.

The participatory approach advocated by FAO reinforces this: gender analysis should not be done to communities, but with them. Women themselves are the most accurate source of information about their time constraints, their access to resources, and the norms that shape their choices. Involving them directly in the analysis process is both methodologically sound and strategically important – it begins the process of empowerment before the first income is generated.

What do you think? If a women-centered income generation project increases earnings for female participants but those earnings are still controlled by male household members, does the project succeed – and what would need to change at the design level to address this? Similarly, how should IGP planners balance addressing immediate, practical gender needs (like access to tools or training) with the longer-term strategic goal of shifting decision-making power within households and communities?

References

1. https://eige.europa.eu/gender-mainstreaming/tools-methods/gender-analysis
2. https://en.wikipedia.org/wiki/Harvard_Analytical_Framework
3. https://www.fao.org/4/x5203e/x5203e09.htm
4. https://pmc.ncbi.nlm.nih.gov/articles/PMC4584401/
5. https://pubadmin.institute/gender-sensitization/gendered-division-of-labour-in-work
6. https://www.unwomen.org/en/what-we-do/economic-empowerment/facts-and-figures
7. https://pmc.ncbi.nlm.nih.gov/articles/PMC3145160/
8. https://www.worldbank.org/en/topic/gender/overview
9. https://academic.oup.com/esr/article/38/5/739/6582960