Women empowerment and environmental sustainability in Africa
Elvis Dze Achuo; Simplice Asongu; Vanessa S. Tchamyou · 2026 · Climatic Change
WASTE classifies this as Negative / Null Result Report · AI classification, approximate
The study found no significant effect — useful as a negative control or null benchmark for your own design.
Abstract
Abstract This study examines whether and how women’s socioeconomic empowerment affects environmental quality in African countries using the system Generalised Method of Moments. The empirical findings show that environmental sustainability is associated with the socioeconomic empowerment of women. The result remains robust when controlled for women’s political inclusion and female labour force participation. The results equally show that foreign direct investment (FDI) and gross domestic product (GDP) moderate the positive influence of the socioeconomic empowerment of women on greenhouse gas (
Abstract by Elvis Dze Achuo; Simplice Asongu; Vanessa S. Tchamyou, Climatic Change (2026) — licensed CC BY 4.0.
About to run something similar?
Run an AI Precheck on your own design to catch failure modes like this one before you spend the time. Your first desk check is free.
Related failures
Leakage and the reproducibility crisis in machine-learning-based science
Negative / Null Result ReportDefining and detecting quantum speedup
Negative / Null Result ReportService robots in hotels: understanding the service quality perceptions of human-robot interaction
Negative / Null Result ReportBoosting methods for multi-class imbalanced data classification: an experimental review
Negative / Null Result ReportFINANCIAL DEVELOPMENT AND ECONOMIC GROWTH: A META‐ANALYSIS
Negative / Null Result ReportThe impact of site-specific digital histology signatures on deep learning model accuracy and bias
WASTE indexes this work — it does not host or republish it. Failure-type classification is automated and approximate.
Metadata source: OpenAlex · DOI 10.1007/s10584-026-04206-4