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ナイジェリアにおけるグリーンイノベーションと再生可能エネルギー転換が気候圧力に与える異質的影響の定量化

Quantifying the heterogeneous impacts of green innovation and renewable energy transition on climate pressure in Nigeria (原題)

Bruce Iortile Iormom

Discover Sustainability📚 査読済 / ジャーナル2026-10-07#エネルギー転換対象セクター: power
DOI: 10.1007/s43621-026-04916-w
原典: https://doi.org/10.1007/s43621-026-04916-w

🤖 gxceed AI 要約

日本語

ナイジェリアの1990〜2023年データを用い、グリーンイノベーション(インターネット普及率)と再エネ転換(再エネ電力比率)が生態足跡に与える影響をQARDLモデルで分析。両者とも短期・長期で気候圧力を低下させ、効果は気候圧力が高い分位でより大きい。デジタル・クリーン技術・再エネ投資の優先を提言する。

English

Using QARDL on Nigerian data (1990–2023), the study finds green innovation (internet penetration) and renewable electricity share reduce ecological footprint in both short and long run. Effects are heterogeneous, roughly doubling at higher climate-pressure quantiles. It recommends prioritizing digital infrastructure and clean-energy investment, especially under high environmental stress.

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

新興国での再エネ・デジタル投資の気候便益を分位別に示す実証で、日本のGX戦略やSSBJ開示に直接の含意は乏しいが、途上国支援・移行金融の効果測定の参考になる。

In the global GX context

Adds distributional evidence on how renewable and digital investment pay off most under high environmental stress—useful for transition-finance and climate-development debates, though not tied to TCFD/ISSB disclosure frameworks.

👥 読者別の含意

🔬研究者:分位点回帰型QARDLで環境クズネッツ的関係の異質性を示す手法例として参考になる。

🏛政策担当者:途上国での再エネ・デジタルインフラ投資の優先順位づけの根拠になりうる。

📄 Abstract(原文)

As countries intensify efforts to address climate change and advance sustainable development, understanding the effectiveness of green innovation and renewable energy transition in achieving climate goals has become increasingly important. Climate pressure is measured as the ecological footprint per capita, an indicator of the biologically productive land and sea area needed to support a population's consumption and absorb its waste. Previous research in this context, however, mostly employs mean-based estimators that do not account for potential conditional heterogeneity. This study investigates the distributional effects of green innovation and renewable energy transition on climate pressure in Nigeria. Green innovation is proxied by internet users as a share of the population, and renewable energy transition by the share of renewable electricity generation. The QARDL model is applied to annual data from 1990 to 2023, and the results show a stable long-run relationship between the variables. The findings also reveal strong heterogeneity in this relationship across the distribution of climate pressure. Green innovation and renewable energy sources are associated with a decrease in climate pressure in both the short and long run. Long-run elasticities range from - 0.087 at the tenth percentile to - 0.198 at the ninetieth percentile for green innovation, and from - 0.054 to - 0.141 for renewable energy. At higher climate pressure levels, the environmental gains of green innovation and renewable energy transition are significant. The Toda-Yamamoto causality test also suggests a unidirectional relationship from green innovation to climate pressure. Investment in digital infrastructure, clean technology and renewable energy deployment should therefore be prioritised. This is especially true during periods of high environmental stress, when climate benefits are highest. Such measures can make significant contributions toward climate and sustainable development goals in Nigeria. This is the first study to jointly estimate long-run, short-run, and error-correction dynamics across the full distribution of climate pressure for this nexus in a single African economy. The climate benefit of digital and renewable investment is shown to roughly double in strength exactly when environmental pressure is most severe.

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