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Enregistrement W4410023508 · doi:10.1101/2025.04.30.25326747

“If we have water, we have money”: A qualitative investigation of the role of water in women’s economic engagement in Guatemala, Honduras, Kenya, and Zimbabwe

2025· preprint· en· W4410023508 sur OpenAlex
Emily Awino Ogutu, Sheela Sinharoy, Madeleine Patrick, Thea Mink, Alicia Macler, Loice Mbogo, Olivia Bendit, Ingrid Lustig, Jazmina Nohemí Irías, Sandra Antonio, Gladys Ramos, Ana Juárez, Carlos Daniel Sic, Erick Calderón, Homero Ramírez, Everlyne Atandi, Peter Mwangi, Paul Ruto, Rohin Onyango, Gilbert Mushangari, Jammaine Jimu, M. Chidavaenzi, Makaita Maworera, Nobuhle Dungeni Mlotshwa, Sithandekile Maphosa, Munyaradzi Damson, Bethany A. Caruso

Pourquoi ce travail est dans la base

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Notice bibliographique

RevuemedRxiv · 2025
Typepreprint
Langueen
DomaineEconomics, Econometrics and Finance
ThématiqueIndian Economic and Social Development
Établissements canadiensSaint Paul University
Organismes subventionnairesnon disponible
Mots-clésWater resource managementQualitative researchSocioeconomicsGeographyEconomic growthDevelopment economicsEconomicsSociologyEnvironmental scienceSocial science

Résumé

récupéré en direct d'OpenAlex

Abstract Background Water is essential for life and development, and access to sufficient, safe, acceptable, physically accessible, and affordable water is a basic human right. Access to water can contribute to poverty reduction, as it can enhance agriculture and livestock production and enable engagement in other water-related economic activities. Globally, 2.2 billion people lack access to safe drinking water. Women are disproportionately affected by water scarcity, as they bear the greatest burden of water related challenges, particularly in low- and middle-income countries. Water collection can deplete women’s time and energy and jeopardize their health and wellbeing, limiting their ability to participate in economic activities. Therefore, we aimed to assess the role of water on women’s economic engagement in Guatemala, Honduras, Kenya, and Zimbabwe. Method We conducted 72 focus group discussions with women (n=38; participants=298) and men (n=34; participants=202), and 56 key informant interviews (women=33; men=23) from June to October 2023 in 25 rural communities. Qualitative tools included questions about barriers, facilitators and community perceptions of women’s economic engagement, and women’s water collection experiences. We used a modified grounded theory approach for data analysis, developed deductive and inductive codes, and used MAXQDA2020 to code and organize data. Results Women’s time was compromised by limited access to sufficient quantities of water, limiting their engagement in economic opportunities. Limited water reduced livelihood activities agriculture and livestock production that women engaged in, and constrained women’s economic resources for example payment for water or for costs associated with water access, needed for income-generating activities. Health and wellbeing, specifically, physical health issues like fatigue, exhaustion, physical injuries, and pain, from water collection work, left women depleted of energy needed for economic engagement activities. Gender norms shaped roles and responsibilities for men and women and ascribed water collection as the primary responsibility of women in all four countries. Environmental factors such as drought and seasonality diminished sufficient access to water, further reducing women’s time and energy, and negatively impacted livestock and agricultural productivity due to diminished pasture and reduced water supply. Conclusion Water is a prerequisite to economic engagement, especially in hard-to-reach low-resource settings. Access to water can enable livelihood opportunities, allow women to save or reallocate time, enable various economic resource options, and improve health and wellbeing, which can then facilitate women’s economic engagement. Insufficient access to water can demand arduous water collection tasks, which can impact health by causing energy depletion, increasing risk of injury, and causing mental strain. These negative health impacts, coupled with time and opportunity costs, can constrain women’s abilities to engage in other facets of life, including economic engagement which could provide well-being benefits to women and their families. Further research is needed to understand how health and wellbeing can influence economic engagement, as many studies focus on health outcomes rather than the reverse.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,003
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Théorique ou conceptuel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,657
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0030,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0010,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,001
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,033
Tête enseignante GPT0,247
Écart entre enseignants0,214 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle