Scholarlink

<p>This study investigates the impact of renewable energy, nuclear power, and energy efficiency technologies on CO₂ emissions in the United States from 1990 to 2023 within the framework of the Environmental Kuznets Curve (EKC) hypothesis. Employing advanced Fourier-based econometric techniques—including the Fourier Autoregressive Distributed Lag (Fourier-ADL) and Fourier Engle-Granger cointegration tests—the analysis explicitly accounts for structural breaks and nonlinear adjustments in the energy–environment nexus. The empirical findings confirm the EKC hypothesis, showing that economic growth initially exacerbates emissions but subsequently contributes to their reduction after surpassing a critical income threshold. The empirical results indicate that while economic growth and short-run renewable energy advancements actively mitigate CO₂ emissions, the long-run structural impacts of nuclear and energy efficiency R&amp;D expenditures remain statistically marginal during the analyzed period, pointing toward delayed market penetration and infrastructure lock-in. Moreover, the results reveal that short-run elasticities are consistently lower than long-run elasticities, underscoring the delayed yet sustained benefits of clean energy innovations. By disaggregating the contributions of specific energy technologies and integrating them into the EKC framework, this study offers novel insights into the mechanisms of decarbonization in advanced economies. The findings emphasize the transformative role of technology-driven energy policies in reconciling economic growth with environmental sustainability and provide actionable guidance for accelerating the United States’ transition toward a low-carbon future.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Renewable Energy–Focused Decarbonization in the USA: Nuclear and Efficiency Dynamics within the EKC Framework

  • 期刊论文

  • 发表日期：

    2026年7月13日

查看全文
  • Mustafa Naimoğlu,
  • Muhammad Shahbaz

摘要

This study investigates the impact of renewable energy, nuclear power, and energy efficiency technologies on CO₂ emissions in the United States from 1990 to 2023 within the framework of the Environmental Kuznets Curve (EKC) hypothesis. Employing advanced Fourier-based econometric techniques—including the Fourier Autoregressive Distributed Lag (Fourier-ADL) and Fourier Engle-Granger cointegration tests—the analysis explicitly accounts for structural breaks and nonlinear adjustments in the energy–environment nexus. The empirical findings confirm the EKC hypothesis, showing that economic growth initially exacerbates emissions but subsequently contributes to their reduction after surpassing a critical income threshold. The empirical results indicate that while economic growth and short-run renewable energy advancements actively mitigate CO₂ emissions, the long-run structural impacts of nuclear and energy efficiency R&D expenditures remain statistically marginal during the analyzed period, pointing toward delayed market penetration and infrastructure lock-in. Moreover, the results reveal that short-run elasticities are consistently lower than long-run elasticities, underscoring the delayed yet sustained benefits of clean energy innovations. By disaggregating the contributions of specific energy technologies and integrating them into the EKC framework, this study offers novel insights into the mechanisms of decarbonization in advanced economies. The findings emphasize the transformative role of technology-driven energy policies in reconciling economic growth with environmental sustainability and provide actionable guidance for accelerating the United States’ transition toward a low-carbon future.