Climate-based fiscal and monetary policies for low-carbon growth in Nigeria
ナイジェリアにおける低炭素成長のための気候ベースの財政・金融政策 (AI 翻訳)
Queen Esther Oye, Dominic E. Azuh
🤖 gxceed AI 要約
日本語
本研究は、ナイジェリア経済を対象に環境DSGEモデルを用いて、炭素税、グリーン補助金、グリーンリレンディング政策の効果を分析。予想外の炭素税は景気後退的である一方、補助金やリレンディングは拡張的で、適切なシークエンスが重要と結論。
English
This study uses an environmental DSGE model for Nigeria to analyze carbon tax, green subsidies, and green relending policies. An unexpected carbon tax is recessionary while subsidies and relending are expansionary; proper sequencing is key.
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
日本のGX政策(グリーン成長戦略、カーボンプライシング)の設計において、複数政策の同時実施と順序付けの重要性を示唆する。ナイジェリアという異なる経済構造の事例だが、政策波及効果の分析手法は参考になる。
In the global GX context
This paper contributes to the global discourse on policy mixes for decarbonization, showing that coordinated fiscal and monetary instruments can achieve both growth and emissions reduction. It offers empirical evidence from a developing economy, relevant for the design of green monetary policy under ISSB/TCFD frameworks.
👥 読者別の含意
🔬研究者:Demonstrates the use of DSGE model for evaluating climate policy mixes, providing a template for other developing economies.
🏛政策担当者:Highlights the need for policy sequencing and coordination between fiscal and monetary authorities to avoid recession while decarbonizing.
📄 Abstract(原文)
Introduction The average global temperature has increased by approximately 1 °C above pre-industrial levels and is projected to rise by about 0.2 °C per decade due to increasing greenhouse gas emissions. This development has intensified concerns about the compatibility of climate mitigation policies with sustained economic growth. Against this background, this study investigates whether climate-responsive fiscal and monetary policies can complement and accelerate decarbonization efforts while maintaining macroeconomic stability and economic growth in Nigeria. Methods The study employs an environmental Dynamic Stochastic General Equilibrium (DSGE) model estimated for the Nigerian economy to analyze the economic and environmental effects of climate-based macroeconomic policies. The model examines the responses of key macroeconomic aggregates to unexpected policy shocks and evaluates the effects of an anticipated carbon tax. It further analyses the volatility implications of implicit and explicit climate-based monetary policy regimes, investigates the combined effects of multiple climate-based policy instruments, and explores optimal policy design under a Ramsey planner framework. Results The findings show that an unexpected carbon tax is recessionary, whereas green subsidies and green relending policies are expansionary, with all three instruments contributing effectively to climate mitigation. An anticipated carbon tax performs less favorably than its unanticipated counterpart. The results further indicate that an implicit green monetary policy regime, characterized by a non-standard Taylor rule with climate targets, exhibits stronger decarbonization and inflation-stabilization properties than an explicit regime combining a standard Taylor rule with green credit policies. In addition, simultaneous implementation of climate-based policy instruments positively affects economic activity, although effective environmental outcomes depend on proper sequencing and timing. The study also finds evidence of improved resource reallocation from the brown sector to the green sector under a Ramsey planner implementing climate-based macroeconomic policies. Discussion and conclusion The study concludes that climate-responsive fiscal and monetary policies can simultaneously stimulate economic output and reduce carbon emissions in Nigeria. The findings highlight the importance of coordinated and optimally designed climate-based macroeconomic policies in achieving sustainable growth and environmental objectives. Appropriate sequencing and integration of policy instruments are essential for maximizing both economic and environmental benefits.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.3389/frsus.2026.1833621first seen 2026-05-28 04:59:35 · last seen 2026-06-03 04:58:21
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