The impact of women's political empowerment on renewable energy demand: Evidence from OECD countries
Gozgor, Giray Saleem, Irfan Shinwari, R.
Gozgor, Giray
Saleem, Irfan
Shinwari, R.
Publication Date
2025-01-01
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© 2024 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY license ( http://creativecommons.org/licenses/by/4.0/ ).
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2024-11-17
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Abstract
The paper examines how women's political empowerment affects renewable energy demand, considering factors
like energy costs, green technologies, and gross domestic product (GDP) growth in the panel dataset of 36
Organisation for Economic Cooperation and Development (OECD) economies from 1990 to 2022. The Least
Absolute Shrinkage and Selection Operators (LASSOs) algorithms select the critical drivers of renewable energy
demand. Then, the paper applies Bayesian Model Averaging (BMA), Partialing-out Linear Regression (POLR),
Double Selection Linear Regression (DSLR), and Cross-fit Partialing-out Linear Regression (Cross-fit POLR)
LASSO techniques to check the robustness of the LASSOs findings. It is found that gender inequality and green
technologies have significant positive effects on renewable energy demand. Conversely, GDP growth exhibits a
significant negative influence, while the effect of energy costs is found to be statistically insignificant. Potential
policy implications are also discussed.
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Citation
Gozgor G, Li J, Saleem I et al (2025) The impact of women's political empowerment on renewable energy demand: Evidence from OECD countries. Energy Economics. 141: 108081.
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