Green Financing and Climate Change in Nigeria
ナイジェリアにおけるグリーンファイナンスと気候変動 (AI 翻訳)
Yahaya, Onipe Adabenege
🤖 gxceed AI 要約
日本語
本論文は、ナイジェリアにおけるグリーンファイナンスと気候変動の関係を2000~2025年のデータで分析。ARDLモデルを用いた結果、グリーンファイナンスは短期的・長期的にCO2排出を有意に削減することを確認。また、化石燃料依存度やエネルギー集約度が排出の主要因であり、制度の質や金融発展が調整要因として機能することを示した。
English
This study examines the dynamic relationship between green financing and climate change in Nigeria from 2000-2025 using ARDL bounds testing. It finds that green financing significantly reduces CO2 emissions in both short and long run. Fossil fuel share and energy intensity are the main emission drivers, while institutional quality and financial development moderate the effectiveness of green financing. The results support the Environmental Kuznets Curve hypothesis for Nigeria, which has not yet reached its turning point.
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
ナイジェリアは日本企業の投資先としても注目されるが、グリーンファイナンスの実効性に関するエビデンスは限られている。本稿は、制度の質や金融発展の重要性を示しており、日本企業がアフリカで持続可能な投資を行う際の参考となる。
In the global GX context
This paper adds empirical evidence on green finance effectiveness in a major African economy, contributing to the global debate on scaling climate finance in developing countries. It highlights the role of institutional quality and financial development as moderators, which is relevant for international climate policy and development finance institutions.
👥 読者別の含意
🔬研究者:Provides empirical evidence on green finance-CO2 nexus using ARDL for Nigeria, useful for comparative studies.
🏢実務担当者:Offers insights for financial institutions in Nigeria on the effectiveness of green financing instruments.
🏛政策担当者:Highlights the need for strong institutional quality and financial development to enhance green finance impact.
📄 Abstract(原文)
Nigeria's vulnerability to climate change is acute, yet its green financing ecosystem remains nascent, fragmented, and institutionally constrained. This study investigates the dynamic relationship between green financing and climate change outcomes in Nigeria over the period 2000–2025, incorporating six control variables: GDP per capita, population, energy intensity, fossil fuel share, institutional quality, and financial development. Grounded in the Environmental Kuznets Curve (EKC) hypothesis, the Pollution Haven Hypothesis, and Modern Portfolio Theory as adapted for sustainable finance, the study employs an Autoregressive Distributed Lag (ARDL) bounds testing approach, complemented by the Fully Modified Ordinary Least Squares (FMOLS) estimator and a suite of post-estimation diagnostics. The results reveal that green financing exerts a statistically significant negative effect on carbon dioxide emissions, the primary proxy for climate change outcomes, both in the short run and long run, affirming its role as a credible decarbonisation instrument. Fossil fuel share and energy intensity are found to be the most potent drivers of emissions, while institutional quality and financial development serve as critical moderating factors that either amplify or constrain the efficacy of green financing. GDP per capita exhibits an inverted-U relationship with emissions, consistent with EKC predictions, although Nigeria has not yet reached its turning point. Population growth exerts a significant positive pressure on emissions, reinforcing the urgency of demographic-sensitive climate policy. The findings have profound implications for policymakers, development finance institutions, and private capital mobilisers seeking to scale climate-aligned investment in Sub-Saharan Africa's largest economy. This study contributes original empirical evidence to the thin body of country-specific green finance literature on Nigeria and offers actionable policy recommendations.
🔗 Provenance — このレコードを発見したソース
- Zenodo https://zenodo.org/records/20516277first seen 2026-06-03 04:21:41 · last seen 2026-06-03 04:21:50
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