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Cited by 258

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Measuring empowerment: Cross-disciplinary perspectives: (597202012-001)

Narayan, Deepa·2005·PsycEXTRA Dataset

Abstract

Poverty reduction on a large scale depends on empowering those who are most motivated to move out of poverty-poor people themselves. But if empowerment cannot be measured, it will not be taken seriously in development policy making and programming. Building on the and Poverty Reduction Sourcebook, this volume outlines a conceptual framework that can be used to monitor and evaluate programs centered on empowerment approaches. It presents the perspectives of 27 distinguished researchers and practitioners in economics, political science, sociology, psychology, anthropology, and demography, all of whom are grappling in different ways with the challenge of measuring empowerment. The authors draw from their research and experiences at different levels, from households to communities to nations, in various regions of the world. Measuring Empowerment is a resource for all who are interested in approaches to poverty reduction that address issues of inequitable power relations.

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Metadata

Authors
Narayan, D.
Venue
PsycEXTRA Dataset
Published
2005
OpenAlex
W3152486541
Cited by
258
References
0
Type
dataset
Language
en
Open access
closed

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CoChat. (2026). Citation check: Measuring empowerment: Cross-disciplinary perspectives: (597202012-001). https://app.cochat.ai/papers/10.1037/e597202012-001
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Narayan, D. (2005). Measuring empowerment: Cross-disciplinary perspectives: (597202012-001). PsycEXTRA Dataset. https://doi.org/10.1037/e597202012-001

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.