A Time Series Comparative Quantitative Analysis of the Impact of Climate Change on Female and Male Youth Global Unemployment
This paper provides a time series comparative quantitative analysis of the impact of climate change on female and male youth global unemployment using a log-linear OLS model grounded on global climate change and unemployment data for the 1992 to 2024 period. While evidence has demonstrated that both female and male youth global unemployment levels are negatively affected by climate change, the study observed that the female youths are affected more by climate change than their male counterparts in terms of employment prospects. The study recommends governments globally to create and support more favourable conditions that will enable young women to withstand the negative impacts of climate change in terms of finding relevant and productive employment.
Authors
- Moffat Chiba (ORCID: https://orcid.org/0000-0002-3267-5737)
Institutions
- University of Pretoria (ZA)
Publication Details
- Journal
- Journal of Applied Statistics and Data Science.
- Published
- 2026-10-28
- DOI
- https://doi.org/10.21776/ub.jasds.2026.003.02.5
- Primary Topic
- Climate Change Policy and Economics
- Type
- article
- Field-Weighted Citation Impact
- 0.00