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. 2019 Oct:122:675-692.
doi: 10.1016/j.worlddev.2019.06.018.

Development of the project-level Women's Empowerment in Agriculture Index (pro-WEAI)

Affiliations

Development of the project-level Women's Empowerment in Agriculture Index (pro-WEAI)

Hazel Malapit et al. World Dev. 2019 Oct.

Erratum in

Abstract

With growing commitment to women's empowerment by agricultural development agencies, sound methods and indicators to measure women's empowerment are needed to learn which types of projects or project-implementation strategies do and do not work to empower women. The Women's Empowerment in Agriculture Index (WEAI), which has been widely used, requires adaptation to meet the need for monitoring projects and assessing their impacts. In this paper, the authors describe the adaptation and validation of a project-level WEAI (or pro-WEAI) that agricultural development projects can use to identify key areas of women's (and men's) disempowerment, design appropriate strategies to address identified deficiencies, and monitor project outcomes related to women's empowerment. The 12 pro-WEAI indicators are mapped to three domains: intrinsic agency (power within), instrumental agency (power to), and collective agency (power with). A gender parity index compares the empowerment scores of men and women in the same household. The authors describe the development of pro-WEAI, including: (1) pro-WEAI's distinctiveness from other versions of the WEAI; (2) the process of piloting pro-WEAI in 13 agricultural development projects during the Gender, Agriculture, and Assets Project, phase 2 (GAAP2); (3) analysis of quantitative data from the GAAP2 projects, including intrahousehold patterns of empowerment/disempowerment; and (4) a summary of the findings from the qualitative work exploring concepts of women's empowerment in the project sites. The paper concludes with a discussion of lessons learned from pro-WEAI and possibilities for further development of empowerment metrics.

Keywords: Agency; Agricultural development; Gender equality; Multidimensional measurement; Women’s empowerment.

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Conflict of interest statement

The authors declare that they have no conflicts of interest.

Figures

Fig. 1
Fig. 1
Distribution of inadequacies. Source: Baseline data from ANGeL (N = 7523), AVC (N = 1000), SE LEVER (N = 3342), TRAIN (N = 9,823), and WorldVeg (N = 1408). Notes: Shaded box indicates disempowered respondents, i.e., those who are inadequate in four or more indicators. Weighted by inverse project sample size. DHH = dual-adult household that includes both a male and female adult. FHH = female-adult-only household that includes a female adult but no male adult.
Fig. 2
Fig. 2
Contributions of each indicator to disempowerment. Source: Baseline data from ANGeL (N = 7523), AVC (N = 1000), SE LEVER (N = 3342), TRAIN (N = 9823), and WorldVeg (N = 1408). Note: Weighted by inverse project sample size.
Fig. 3
Fig. 3
Contributors to disempowerment by age group. Source: Baseline data from ANGeL (N = 7523), AVC (N = 1000), SE LEVER (N = 3342), TRAIN (N = 9823), and WorldVeg (N = 1408). Note: Weighted by inverse project sample size.
Fig. 4
Fig. 4
Rank comparison of 3DE scores by project and gender for different empowerment cut-offs. Source: Baseline data from ANGeL (N = 7523), AVC (N = 1000), SE LEVER (N = 3342), TRAIN (N = 9823), and WorldVeg (N = 1408). Notes: 3DE scores ranked from highest to lowest. Spearman’s rho = 1.000; Kendall’s tau b = 1.000. Weighted by inverse project sample size.

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