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)

Rubin, Deborah

Meinzen-Dick, Ruth Suseela

Johnson, Nancy

Thai, Giang

Ramani, Gayathri V.

Meyers, Emily

GAAP2 for pro-WEAI Study Team

Agricultural development projects increasingly include women’s empowerment and gender equality among their objectives, but efforts to evaluate their impact have been stymied by the lack of comparable measures. Moreover, the context-specificity of empowerment implies that a quantitative measure alone will be inadequate to capture the nuances of the empowerment process. The Gender, Agriculture, and Assets Project, Phase 2 (GAAP2), a portfolio of 13 agricultural development projects in nine countries in South Asia and Africa, developed the project-level Women’s Empowerment in Agriculture Index (pro-WEAI) and qualitative protocols for impact evaluations. Pro-WEAI covers three major types of agencies: instrumental, intrinsic, and collective. This paper synthesizes the results of 11 mixed-methods evaluations to assess these projects’ empowerment impacts. The projects implemented the pro-WEAI and its associated qualitative protocols in their impact evaluations. Our synthesis finds mixed, and mostly null impacts on aggregate indicators of women’s empowerment, with positive impacts more likely in the South Asian, rather than African, cases. There were more significant impacts on instrumental agency indicators and collective agency indicators, reflecting the group-based approaches used. We found few significant impacts on intrinsic agency indicators, except for those projects that intentionally addressed gender norms. Quantitative analysis does not show an association between the types of strategies that projects implemented and their impacts, except for capacity building strategies. This finding reveals the limitations of quantitative analysis, given the small number of projects involved. The qualitative studies provide more nuance and insight: some base level of empowerment and forms of agency may be necessary for women to participate in project activities, to benefit or further increase their empowerment. Our results highlight the need for projects to focus specifically on empowerment, rather than assume that projects aiming to reach and benefit women automatically empower them. Our study also shows the value of both a common metric to compare empowerment impacts across projects and contexts and qualitative work to understand and contextualize these impacts.

Can agricultural development projects empower women? A synthesis of mixed methods evaluations using pro-WEAI in the gender, agriculture, and assets project (phase 2) portfolio

Hidrobo, Melissa

Bernard, Tanguy

Hoel, Jessica B.

Kieran, Caitlin

We study decision-making in dairy farming households in Senegal and investigate respondents’ perceptions of why a particular person made the decision. Using vignettes, we ask respondents how similar they are to five types of households. We analyze how the identity of the decision-maker and the rationale for decision-making are related to milk production, hemoglobin levels among children, and satisfaction with decisions. We find that while male dictators achieve better outcomes than most decision-making structures, households in which husbands (wives) decide because they are most informed produce more milk than households in which husbands (wives) decide because they are dictators.

Ask me why: Using vignettes to understand patterns of intrahousehold decision making in rural Senegal

Doss, Cheryl

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