Quisumbing, Agnes R.

Malapit, Hazel J.

Myers, Emily

Heckert, Jessica

Seymour, Greg

Doss, Cheryl

Faas, Simone

Paz, Florencia

Yount, Kathryn M.

Meinzen-Dick, Ruth S.

Sinharoy, Sheela S.

Cheong, Yuk Fai

Hassan, Md. Zahidul

Hassan, Md. Imrul

Sharma, Sudhindra

Pokhrel, Pankaj

Sagastume, Mónica Dardón

Kanyanda, Shelton S. E.

Vundru, Wilbert D.

Moylan, Heather

Monitoring progress toward Sustainable Development Goal (SDG) 5—achieving gender equality and empowering all women and girls—remains challenging unless we incorporate women’s empowerment metrics into nationally representative and multi-topic surveys. To address this data gap, we designed the Women’s Empowerment Metric for National Statistical Systems (WEMNS) as a streamlined empowerment module suitable for the 50x2030 Initiative, a global partnership that aims to build capacity and close the agricultural data gap in 50 countries by 2030, as well as other large multi-topic surveys. WEMNS measures women’s and men’s empowerment and is applicable to urban and rural areas and a variety of livelihood strategies (farming, self-employment, wage labor) across countries in different stages of structural transformation. WEMNS is a counting-based, multidimensional index composed of four domains: intrinsic agency, instrumental agency, collective agency, and agency-enabling resources. Each domain is measured with binary indicators derived from question sets in the WEMNS module. In this paper, we describe the development and testing of WEMNS and its components, including: (1) WEMNS's distinctiveness from other empowerment metrics; (2) the iterative approach used to develop and pilot the WEMNS module in Bangladesh, Guatemala, Malawi, and Nepal, using cognitive interviewing, phone surveys, and face-to-face surveys; (3) analysis of quantitative pilot data; and (4) a summary of the findings from the cognitive interviewing. The paper concludes with a discussion of lessons learned and possibilities for further development of WEMNS and other empowerment metrics.

Measuring women's empowerment in national surveys: Development of the Women’s Empowerment Metric for National Statistical Systems (WEMNS)

Ragasa, Catherine

Rubin, Deborah

Pereira, Audrey

Mzungu, Diston

Kalagho, Kenan

Meinzen-Dick, Ruth Suseela

Eissler, Sarah

Tauseef, Salauddin

Adegbola, Patrice Ygué

Crinot, Geraud Fabrice

Gantoli, Geoffroy

Martinez, Elena

Mswero, Grace

Pinkstaff, Crossley

GAAP2 Market Inclusion Study Team

Many development agencies design and implement interventions that aim to reach, benefit, and empower rural women across the value chain in activities ranging from production, to processing, to marketing. Determining whether and how such interventions empower women, as well as the constraints faced by different value chain actors, requires quantitative and qualitative tools. We describe how we adapted the project-level Women’s Empowerment in Agricultural Index (pro-WEAI), a mixed-methods tool for studying empowerment in development projects, to include aspects of agency relevant for multiple types of value chain actors. The resulting pro-WEAI for market inclusion (pro-WEAI+MI) includes quantitative and qualitative instruments developed over the course of four studies. Studies in the Philippines (2017), Bangladesh (2017), and Malawi (2019) were intended to diagnose areas of disempowerment to inform programming, whereas the Benin (2019) study was an impact assessment of an agricultural training program. The pro-WEAI+MI includes all indicators included in pro-WEAI, plus a dashboard of complementary indicators and recommended qualitative instruments. These tools investigate the empowerment of women in different value chains and nodes and identify barriers to market access and inclusion that may restrict empowerment for different value chain actors. Our findings highlight three lessons. First, the sampling strategy needs to be designed to capture the key actors in a value chain. Second, the market inclusion indicators cannot stand alone; they must be interpreted alongside the core pro-WEAI indicators. Third, not all market inclusion indicators will be relevant for all value chains and contexts. Users should research the experiences of women and men in the target value chains in the context of the programto select priority market inclusion indicators.

Measuring empowerment across the value chain: The evolution of the project-level Women’s Empowerment Index for Market Inclusion (pro-WEAI+MI)

Raghunathan, Kalyani

We conduct a synthetic review of the literature examining relationships between domains of women’s empowerment and food system outcomes. Many studies report significant positive associations between women’s empowerment and intrahousehold gender equality with child dietary and nutrition outcomes, household food security, and agricultural production, but which aspect of empowerment matters for a particular outcome varies across contexts. Others document significant but mixed associations between empowerment indicators and women’s dietary diversity scores. The findings suggest women’s empowerment contributes to improved diets and nutritional status, especially for children, but that household wealth, gender norms and country-specific institutions remain important. Most papers reviewed were based on observational studies and therefore estimated associations; future research using experimental and quasi-experimental methods would add significantly to the evidence base.

Is women’s empowerment bearing fruit? Mapping women’s empowerment in agriculture index (WEAI) results using the gender and food systems framework

Ferguson, Nathaniel

Meinzen-Dick, Ruth

van Biljon, Chloe

We discuss the evolution of the project-level Women’s Empowerment in Agriculture Index (pro-WEAI) from its initial launch in 2018 until early 2023. We explain the reasons motivating changes to the composition of pro-WEAI and the adequacy thresholds of several indicators and discuss the implications of both for the overall measurement of project impacts on women’s empowerment. We present supporting empirical results comparing projects’ impacts calculated using the abbreviated Women’s Empowerment in Agriculture Index (A-WEAI) (the predecessor to pro-WEAI with fewer indicators and less stringent indicator cut-offs), the pilot 12-indicator version of pro-WEAI, and the final, revised 10-indicator version of pro-WEAI, based on longitudinal data from six agricultural development projects in East and West Africa and South Asia as part of the Gender, Agriculture, and Assets Project, Phase 2 (GAAP2). In addition, we assess the sensitivity of the revised pro-WEAI to an alternative weighting scheme, namely inverse covariance weighting (ICW). Overall, we find that the revised pro-WEAI performs well: In comparison to A-WEAI, pro-WEAI—regardless of version—identifies larger and more frequently significant impact estimates, indicating that pro-WEAI is more sensitive to detecting project impacts on women’s empowerment than A-WEAI. And we find only minor differences in impact estimates produced using the 12-indicator, 10-indicator, or alternate weighting scheme versions of pro-WEAI. We conclude with reflections on six years of work on pro-WEAI during GAAP2.

A multi-country validation and sensitivity analysis of the project level Women’s Empowerment in Agriculture Index (Pro-WEAI)

Quisumbing, Agnes

Gerli, Beatrice

McCarron, Catherine

This paper compares the empowerment impacts of the UN Joint Program for Rural Women’s Economic Empowerment (JP RWEE) in Ethiopia, Niger, Nepal, and Kyrgyzstan using the Abbreviated Women’s Empowerment in Agriculture Index (A-WEAI). We assess the extent of empowerment and gender parity, and decompose the sources of disempowerment, separately for men and women and for beneficiary and control groups. We then estimate program impacts on A-WEAI and its component indicators and assess whether estimated impacts are consistent with the activities implemented by the program. We interpret the quantitative results in the light of the qualitative studies undertaken as part of the impact evaluation. Despite the diversity in country and cultural contexts, in all four countries, women are more disempowered than men, although large proportions of men are themselves disempowered. Excessive workload is the most common major contributor to disempowerment, and so is lack of group membership. The program had positive impacts on aggregate empowerment measures for program participants in Niger, Nepal, and Kyrgyzstan. Nevertheless, gender parity improved only in Nepal. The group-based approach was a clear contributor to women’s empowerment in Ethiopia, Nepal, and Kyrgyzstan. In Kyrgyzstan, the GALS/BALI approach contributed to impacts across almost all indicators of empowerment. The positive impact of GALS and GALS/BALI on men and women alike in Kyrgyzstan is consistent with emerging evidence that involving both men and women in gender transformative approaches, rather than focusing on women alone, may be key to effective and sustainable programs. Although impacts on time use were insignificant in the quantitative study, the qualitative work pointed out negative impacts, emphasizing the unintended consequences of increased workload for women who participate in livelihood interventions.

Does the UN Joint Program for Rural Women’s Economic Empowerment (JP RWEE) deliver on its empowerment objectives?

Faas, Simone

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