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Cited by 404

The DOI matches its Crossref record; 23 of the 23 references it cites were found in a registry or an index.

Women in infrastructure: Selected stocktaking of good practices for inclusion of women in infrastructure

Open access
·2021·OECD Public Governance Policy Papers

Abstract

Infrastructure can have a major impact on women’s access to resources and agency over their well-being, and thus on women’s empowerment. Infrastructure itself is not gender-neutral: women and men have different needs and use infrastructure differently given their specific social roles, economic status or preferences. Poor infrastructure quality also poses differentiated threats to women’s safety and well-being. Moreover, infrastructure has traditionally been a heavily male-dominated sector, leaving women little or no voice in investment decisions that affect their economic opportunities, day-to-day lives and well-being. Increasing women’s participation in infrastructure policy and decision making is thus crucial. This report explores the challenges policy makers face when mainstreaming gender into infrastructure and proposes a framework for incorporating gender considerations at each stage of the public investment process. The report also provides guidance on how to involve more women in infrastructure leadership and decision making.

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Metadata

Venue
OECD Public Governance Policy Papers
Published
2021-11-18
ISSN
2707-9171 (ISSN-L)
OpenAlex
W4200382705
Cited by
404
References
23
Type
report
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Women in infrastructure: Selected stocktaking of good practices for inclusion of women in infrastructure. https://app.cochat.ai/papers/10.1787/9eab66a8-en
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Women in infrastructure: Selected stocktaking of good practices for inclusion of women in infrastructure. (2021). OECD Public Governance Policy Papers. https://doi.org/10.1787/9eab66a8-en

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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.