Measurement properties of the Project-Level Women’s Empowerment in Agriculture Index
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Cited by:
- Mei Zhang & Xinliang Wang, 2023. "Measurement of Common Prosperity of Chinese Rural Households Using Graded Response Models: Evidence from Zhejiang Province," IJERPH, MDPI, vol. 20(5), pages 1-16, March.
- Saha, Shree & Narayanan, Sudha, 2022.
"A simplified measure of nutritional empowerment: Using machine learning to abbreviate the Women’s Empowerment in Nutrition Index (WENI),"
World Development, Elsevier, vol. 154(C).
- Shree Saha & Sudha Narayanan, 2020. "A Simplified measure of nutritional empowerment using machine learning to abbreviate the Women's Empowerment in Nutrition Index (WENI)," Indira Gandhi Institute of Development Research, Mumbai Working Papers 2020-031, Indira Gandhi Institute of Development Research, Mumbai, India.
- Malapit, Hazel & Quisumbing, Agnes & Meinzen-Dick, Ruth & Seymour, Greg & Martinez, Elena M. & Heckert, Jessica & Rubin, Deborah & Vaz, Ana & Yount, Kathryn M., 2019. "Development of the project-level Women’s Empowerment in Agriculture Index (pro-WEAI)," World Development, Elsevier, vol. 122(C), pages 675-692.
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Keywords
agricultural development; measurement; Sustainable Development Goals; empowerment; gender; women; item response theory; women’s agency; women’s empowerment; Women’s Empowerment in Agriculture Index;All these keywords.
NEP fields
This paper has been announced in the following NEP Reports:- NEP-PPM-2020-03-23 (Project, Program and Portfolio Management)
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