The DOI matches its Crossref record; 34 of the 34 references it cites were found in a registry or an index.
Development of the project-level Women’s Empowerment in Agriculture Index (pro-WEAI)
Open accessAbstract
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.
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Ryan, R. M., & Deci, E. L. (2000) · American Psychologist · doi:10.1037//0003-066x.55.1.68 · Cited by 54,599
Lukes, S. (2005) · Power · doi:10.1007/978-0-230-80257-5_2 · Cited by 6,653
A Class of Decomposable Poverty Measures
Foster, J., Greer, J., & Thorbecke, E. (1984) · Econometrica · doi:10.2307/1913475 · Cited by 5,447
Resources, agency, achievements: Reflections on the measurement of women’s empowerment.
Kabeer, N. (1999) · Development and Change · doi:10.1111/1467-7660.00125 · Cited by 4,976
Moral Identity and Developmental Theory
Lapsley, D. (2015) · Human Development · doi:10.1159/000435926 · Cited by 3,819
Validation of a New General Self-Efficacy Scale
Chen, G., Gully, S. M., & Eden, D. (2001) · Organizational Research Methods · doi:10.1177/109442810141004 · Cited by 3,542
Kabeer, N. (2005) · Gender & Development · doi:10.1080/13552070512331332273 · Cited by 2,164
The Women’s Empowerment in Agriculture Index
Alkire, S., Meinzen-Dick, R., Peterman, A., Quisumbing, A., Seymour, G., & Vaz, A. (2013) · World Development · doi:10.1016/j.worlddev.2013.06.007 · Cited by 948
Self-citationMultidimensional Poverty Measurement and Analysis
Alkire, S., Foster, J., Seth, S., Santos, M. E., Roche, J. M., & Ballon, P. (2015) · Oxford University Press eBooks · doi:10.1093/acprof:oso/9780199689491.001.0001 · Cited by 924
Counting and multidimensional poverty measurement
Alkire, S., & Foster, J. (2011) · Journal of Public Economics · doi:10.1016/j.jpubeco.2010.11.006 · Cited by 684
Cited by
Viewpoint: The case for a six-dimensional food security framework
Clapp, J., Moseley, W. G., Burlingame, B., & Termine, P. (2022) · Food Policy · doi:10.1016/j.foodpol.2021.102164 · Cited by 512
Metadata
- Authors
- Malapit, H., Quisumbing, A., Meinzen-Dick, R., Seymour, G., Martinez, E. M., Heckert, J., Rubin, D., Vaz, A., & Yount, K. M.
- Venue
- World Development
- Publisher
- Elsevier BV
- Published
- 2019-10
- Volume
- 122
- Pages
- 675-692
- ISSN
- 0305-750X (ISSN-L)
- OpenAlex
- W2944734466
- Cited by
- 313
- References
- 34
- FWCI
- 80.25
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- Malapit, H., Quisumbing, A., Meinzen-Dick, R., Seymour, G., Martinez, E. M., Heckert, J., Rubin, D., Vaz, A., & Yount, K. M. (2019). Development of the project-level Women’s Empowerment in Agriculture Index (pro-WEAI). World Development. https://doi.org/10.1016/j.worlddev.2019.06.018
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