The impact of women's political empowerment on renewable energy demand: Evidence from OECD countries

IF 14.2 2区经济学 Q1 ECONOMICS Energy Economics Pub Date : 2025-01-01 Epub Date: 2024-11-28 DOI:10.1016/j.eneco.2024.108081

Giray Gozgor , Jing Li , Irfan Saleem , Riazullah Shinwari

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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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妇女政治赋权对可再生能源需求的影响：来自经合组织国家的证据

本文在经济合作与发展组织（OECD） 36个经济体1990年至2022年的面板数据集中，考虑了能源成本、绿色技术和国内生产总值（GDP）增长等因素，研究了女性政治赋权如何影响可再生能源需求。最小绝对收缩和选择算子（LASSOs）算法选择可再生能源需求的关键驱动因素。然后，本文应用贝叶斯模型平均（BMA）、偏出线性回归（POLR）、双选择线性回归（DSLR）和交叉拟合偏出线性回归（Cross-fit POLR） LASSO技术来检验LASSO结果的稳健性。研究发现，性别不平等和绿色技术对可再生能源需求有显著的正向影响。相反，GDP增长表现出显著的负向影响，而能源成本的影响在统计上不显著。本文还讨论了潜在的政策影响。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Energy Economics ECONOMICS-

CiteScore

18.60

自引率

12.50%

发文量

524

期刊介绍： Energy Economics is a field journal that focuses on energy economics and energy finance. It covers various themes including the exploitation, conversion, and use of energy, markets for energy commodities and derivatives, regulation and taxation, forecasting, environment and climate, international trade, development, and monetary policy. The journal welcomes contributions that utilize diverse methods such as experiments, surveys, econometrics, decomposition, simulation models, equilibrium models, optimization models, and analytical models. It publishes a combination of papers employing different methods to explore a wide range of topics. The journal's replication policy encourages the submission of replication studies, wherein researchers reproduce and extend the key results of original studies while explaining any differences. Energy Economics is indexed and abstracted in several databases including Environmental Abstracts, Fuel and Energy Abstracts, Social Sciences Citation Index, GEOBASE, Social & Behavioral Sciences, Journal of Economic Literature, INSPEC, and more.