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Record 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 on OpenAlexaff
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

Bibliographic record

VenuemedRxiv · 2025
Typepreprint
Languageen
FieldEconomics, Econometrics and Finance
TopicIndian Economic and Social Development
Canadian institutionsSaint Paul University
Fundersnot available
KeywordsWater resource managementQualitative researchSocioeconomicsGeographyEconomic growthDevelopment economicsEconomicsSociologyEnvironmental scienceSocial science

Abstract

fetched live from 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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.657
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.033
GPT teacher head0.247
Teacher spread0.214 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2025
Admission routes1
Has abstractyes

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