Natural resources dependence and climate vulnerability: Do women's political empowerment and political ideology make the difference?

This article analyses the effect of natural resources on vulnerability to climate change, with an emphasis on the mitigating role of women's political empowerment and political party ideology. Specifically, it explores the extent to which women's political empowerment and political ideology reduce the positive effect of natural resource dependence on the degree of climate vulnerability. We find strong evidence of a positive relationship between natural resource dependence and climate vulnerability. Moreover, we observe that only forestry, coal, oil, and natural gas rents increase vulnerability to climate change, while mining rents help to reduce climate vulnerability. The results also highlight the fact that the political empowerment of women and the ideology of political parties attenuate the effect of natural resources on climate vulnerability. The effect of political ideology is more persistent for left-wing governments. • We use a dataset covering 114 developing countries over 25 years. • Linear regression absorbing multi-levels of fixed effects, and S-GMM are used. • Natural resources dependence leads to increase climate vulnerability. • WPE and political ideology mitigate the effects of natural resources dependence on climate vulnerability.

Authors

Institutions

Publication Details

Journal
Resources Policy
Published
2025-02-18
DOI
https://doi.org/10.1016/j.resourpol.2025.105511
Citations
4
Primary Topic
Natural Resources and Economic Development
Type
article
Field-Weighted Citation Impact
12.34
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Natural resources dependence and climate vulnerability: Do women's political empowerment and political ideology make the difference?

Joseph Keneck Massil, Suzie Imelda Foudjo
4 citations
Resources Policy
Natural Resources and Economic Development
12.34
article

Natural resources dependence and climate vulnerability: Do women's political empowerment and political ideology make the difference?

Joseph Keneck Massil, Suzie Imelda Foudjo
article en
4 citations

Abstract

This article analyses the effect of natural resources on vulnerability to climate change, with an emphasis on the mitigating role of women's political empowerment and political party ideology. Specifically, it explores the extent to which women's political empowerment and political ideology reduce the positive effect of natural resource dependence on the degree of climate vulnerability. We find strong evidence of a positive relationship between natural resource dependence and climate vulnerability. Moreover, we observe that only forestry, coal, oil, and natural gas rents increase vulnerability to climate change, while mining rents help to reduce climate vulnerability. The results also highlight the fact that the political empowerment of women and the ideology of political parties attenuate the effect of natural resources on climate vulnerability. The effect of political ideology is more persistent for left-wing governments. • We use a dataset covering 114 developing countries over 25 years. • Linear regression absorbing multi-levels of fixed effects, and S-GMM are used. • Natural resources dependence leads to increase climate vulnerability. • WPE and political ideology mitigate the effects of natural resources dependence on climate vulnerability.

Resources PolicyVol. 102
Université de Yaoundé I (CM), Université de Versailles Saint-Quentin-en-Yvelines (FR)
Climate action
Openalex Percentile: Top 2%
Natural Resources and Economic Development
12.34
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.