Evaluating the role of renewable energy and government consumption in reducing CO2 emissions: A dynamic panel data analysis

Mehedi Hasan , Hafsha Talukdar Eiti , Md. Saddam Hossain , Mohammad Bin Amin , Md. Atikur Rahaman , Judit Oláh
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Abstract

Reducing CO₂ emissions poses a critical challenge for rapidly industrializing lower-middle-income countries (LMICs), where economic expansion pushes enhanced energy consumption, industrial activity, and transportation emissions. While previous research has separately examined the roles of renewable energy adoption and government spending in mitigating emissions, this study uniquely investigates their combined and interactive effects on CO₂ emissions in LMICs, providing novel empirical insights through dynamic analysis. This research employs panel data from 26 LMICs spanning 2002 to 2022, utilizing fixed-effects, random-effects, and generalized method of moments (GMM) approaches to address endogeneity, autocorrelation, and unobserved heterogeneity. The robust GMM estimators, handling these issues effectively, ensure reliable and complete causal inferences. The findings from the preferred GMM model indicate that a 1 % increase in renewable energy consumption results in a 0.025 % reduction in CO₂ emissions, but a 1 % rise in government expenditure contributes to a 0.0531 % decrease, when spending is environmentally aligned. However, the interaction term between renewable energy and government consumption demonstrates a small but significant positive effect, indicating that poorly targeted fiscal spending may dilute the environmental benefits of renewables. GDP growth and energy use dramatically rise emissions, supporting the Environmental Kuznets Curve (EKC) hypothesis, while urbanization and education show mixed effects. These results underscore the necessity of integrating renewable energy expansion with strategic government fiscal interventions to promote sustainable emission reductions. The study adds to the body of knowledge on sustainable development literature by elucidating the complex interplay between fiscal policy and renewable energy adoption. We recommend that policymakers in LMICs prioritize green-aligned spending and phase out fossil incentives to maximize synergies, fostering scalable models for global climate goals.

Abstract Image

评估可再生能源和政府消费在减少二氧化碳排放中的作用:动态面板数据分析
减少二氧化碳排放对快速工业化的中低收入国家(LMICs)来说是一个严峻的挑战,在这些国家,经济扩张推动了能源消耗、工业活动和交通排放的增加。虽然之前的研究分别考察了可再生能源的采用和政府支出在减排中的作用,但本研究独特地考察了它们对中低收入国家二氧化碳排放的综合和相互作用,通过动态分析提供了新的实证见解。本研究采用2002年至2022年26个低收入国家的面板数据,利用固定效应、随机效应和广义矩量法(GMM)方法来解决内生性、自相关性和未观察到的异质性。稳健的GMM估计器,有效地处理这些问题,确保可靠和完整的因果推断。首选GMM模型的研究结果表明,可再生能源消费每增加1%,二氧化碳排放量就会减少0.025%,但如果政府支出与环境保持一致,那么政府支出每增加1%,二氧化碳排放量就会减少0.0531%。然而,可再生能源与政府消费之间的交互项显示出较小但显著的正效应,这表明财政支出的不针对性可能会稀释可再生能源的环境效益。GDP增长和能源使用显著增加了排放,支持环境库兹涅茨曲线(EKC)假设,而城市化和教育则表现出混合效应。这些结果强调了将可再生能源扩张与战略性政府财政干预相结合以促进可持续减排的必要性。该研究通过阐明财政政策与可再生能源采用之间复杂的相互作用,增加了可持续发展文献的知识体系。我们建议中低收入国家的政策制定者优先考虑绿色支出,逐步取消化石燃料激励措施,以最大限度地发挥协同效应,为全球气候目标建立可扩展的模式。
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