Achieving Sustainability in India: Analyzing Carbon Neutrality Scenarios Using the Novel Fourier-NARDL Approach
インドにおける持続可能性の達成：Fourier-NARDLアプローチを用いたカーボンニュートラルシナリオの分析 (AI 翻訳)
A. Mohanapriya, R. Shenbagavalli, M. Balamurugan
🤖 gxceed AI 要約
日本語
この研究は、インドが2070年までにカーボンニュートラルを達成するために、原子力エネルギー研究開発（R&D）支出と環境品質の非対称的な関係をFourier-NARDLモデルを用いて分析した。長期的には、原子力消費の正のショックが環境品質を改善し、負のショックは悪化させることを実証。負荷容量曲線（LCC）仮説を支持し、持続可能な開発目標（SDGs）と整合する政策への示唆を提供。
English
This study analyzes the asymmetric relationship between nuclear energy R&D spending and environmental quality in India using the Fourier-NARDL model. It finds that positive shocks in nuclear energy consumption improve environmental quality in the long run, while negative shocks worsen it. The results support the Load Capacity Curve hypothesis and offer policy insights for India's 2070 carbon neutrality target and SDGs.
Unofficial AI-generated summary based on the public title and abstract. Not an official translation.
📝 gxceed 編集解説 — Why this matters
日本のGX文脈において
インドのカーボンニュートラル目標に関する実証研究であり、日本の原子力政策やエネルギー転換戦略にも示唆を与える。特に、長期的なR&D投資の重要性を強調しており、日本のGX投資政策との比較が可能。
In the global GX context
This empirical work on India's carbon neutrality pathway highlights the role of nuclear energy R&D, relevant for global energy transition debates. It provides evidence for the Load Capacity Curve hypothesis, which can inform ISSB/TCFD-aligned scenario analysis and transition finance frameworks.
👥 読者別の含意
🔬研究者:Provides empirical evidence for the Load Capacity Curve hypothesis using a novel nonlinear time series method, valuable for energy economics researchers.
🏢実務担当者:Can inform corporate scenario analysis for carbon neutrality strategies, especially for energy companies investing in nuclear R&D.
🏛政策担当者:Offers insights for aligning nuclear energy R&D investment with long-term carbon neutrality goals, relevant for Indian and other emerging economy policymakers.
📄 Abstract（原文）
India’s commitment to achieving carbon neutrality by 2070 represents the strategic significance of cleaner energy sources, such as nuclear energy, in reducing environmental degradation. This study examines the asymmetric relationship between nuclear energy R&D spending and environmental quality, as determined by the Load Capacity Factor (LCF), from 1978 to 2022. The Fourier Nonlinear Autoregressive Distributed Lag (Fourier-NARDL) model is used to obtain potential nonlinear adjustments and continuous structural changes. Empirical findings show that positive shocks in nuclear energy consumption (NUC) expenditure play a very positive role in improving environmental quality in the long run (β⁺ = 0.37, p < 0.05), and negative shocks have a negative effect (β⁻ = −0.29, p < 0.10). There is also asymmetric behavior in short-run dynamics, but of a smaller dimension. These results provide empirical evidence of the Load Capacity Curve (LCC) hypothesis for India and highlight the importance of the long-term ecological balance that can be attained by focusing on long-term nuclear R&D investment. This research has practical implications for policymakers who aim to align energy innovation strategies with the Sustainable Development Goals (SDGs) and the 2070 carbon-neutral objective of India.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.46488/nept.2026.v25i03.b4386first seen 2026-06-20 05:27:48
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