Women in waste labor: a bibliometric analysis (2000–2025)

This study examines academic literature on gender mechanisms in waste labor, a field central to environmental sustainability and social equity. Women are widely documented as central participants in waste work, yet existing literature often treats gender descriptively rather than analytically, favoring biomedical and behavioral perspectives over structural analysis. Employing a PRISMA-guided Scopus search, 559 English-language articles (2000–2025) in social sciences and environmental science were analyzed using Biblioshiny and VOSviewer. Results show a 10.17% annual publication growth, strong USA-China collaborations, and productivity adhering to Lotka’s Law. Institutional output is concentrated among Chinese medical universities, focusing on biomedical toxicology rather than socio-economic or labor research. Gender terms, particularly “female,” occupy a peripheral, descriptive position within the thematic structure, while socio-economic and biomedical clusters remain largely disconnected, bridged only by a toxicologically-coded term rather than a labor-oriented one. These findings offer bibliometric evidence consistent with, rather than proof of, the need for ecofeminist and structural approaches that integrate exposure risks with labor rights, address systemic exclusions, and advance SDG-aligned waste equity through interdisciplinary synthesis.

Authors

Institutions

Publication Details

Journal
Gender Technology and Development
Published
2026-10-17
DOI
https://doi.org/10.1080/09718524.2026.2742452
Primary Topic
Municipal Solid Waste Management
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Women in waste labor: a bibliometric analysis (2000–2025)

P. P. Noushad, K. Shine
Gender Technology and Development
Municipal Solid Waste Management
article

Women in waste labor: a bibliometric analysis (2000–2025)

P. P. Noushad, K. Shine
article en

Abstract

This study examines academic literature on gender mechanisms in waste labor, a field central to environmental sustainability and social equity. Women are widely documented as central participants in waste work, yet existing literature often treats gender descriptively rather than analytically, favoring biomedical and behavioral perspectives over structural analysis. Employing a PRISMA-guided Scopus search, 559 English-language articles (2000–2025) in social sciences and environmental science were analyzed using Biblioshiny and VOSviewer. Results show a 10.17% annual publication growth, strong USA-China collaborations, and productivity adhering to Lotka’s Law. Institutional output is concentrated among Chinese medical universities, focusing on biomedical toxicology rather than socio-economic or labor research. Gender terms, particularly “female,” occupy a peripheral, descriptive position within the thematic structure, while socio-economic and biomedical clusters remain largely disconnected, bridged only by a toxicologically-coded term rather than a labor-oriented one. These findings offer bibliometric evidence consistent with, rather than proof of, the need for ecofeminist and structural approaches that integrate exposure risks with labor rights, address systemic exclusions, and advance SDG-aligned waste equity through interdisciplinary synthesis.

Gender Technology and Development
Mahatma Gandhi University (IN), Mahatma Gandhi University (RW), Mahatma Gandhi University, Nalgonda, Mahatma Gandhi University (IN)
Gender equality, Reduced inequalities, Decent work and economic growth, Responsible consumption and production
Openalex Percentile: Top 10%
Municipal Solid Waste Management
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.