エネルギー・鉱物枯渇に対する炭素排出量の反応の説明：Fourier-Bootstrap ARDLからの新たな洞察
Explaining the Reactions of Carbon Footprints to Energy and Mineral Depletions: New Insights from Fourier-Bootstrap ARDL (原題)
Emmanuel Uche
🤖 gxceed AI 要約
日本語
南アフリカとナイジェリアの1971～2022年のデータを用い、エネルギー・鉱物枯渇が炭素排出量に与える影響をFourier-Bootstrap ARDLで分析。南アではエネルギー枯渇（石炭火力）、ナイジェリアでは鉱物枯渇（無規制採掘）が主要因。政策分析では南アに石炭段階的廃止と炭素価格、ナイジェリアに鉱業規制とグリーンマイニングが有効と示唆。
English
Using 1971-2022 data for South Africa and Nigeria, this study applies Fourier-Bootstrap ARDL to examine how energy and mineral depletion affect carbon footprints. Energy depletion drives South Africa's emissions (coal power), while mineral depletion drives Nigeria's (unregulated mining). Policy analysis highlights coal phase-out and carbon pricing for South Africa, and mining regulation and green mining for Nigeria.
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（GX推進法、炭素価格導入）に示唆を与えるが、対象国が異なるため直接適用は限定的。資源依存経済における政策一貫性の重要性は、日本のエネルギー転換にも通じる教訓。
In the global GX context
Contributes to global literature on resource depletion and carbon emissions, offering comparative policy insights for coal-dependent and mineral-dependent economies. Relevant for countries designing transition policies under the Paris Agreement.
👥 読者別の含意
🔬研究者:Provides empirical evidence on resource depletion-carbon nexus using advanced time series methods.
🏢実務担当者:Limited direct applicability, but highlights policy coherence for corporate sustainability strategies.
🏛政策担当者:Offers comparative policy effectiveness analysis for resource-dependent economies.
📄 Abstract（原文）
An in-depth understanding of the factors that enhance carbon footprints is a plausible pathway to enthrone environmental sustainability. Currently, the implications of energy and mineral depletion for carbon footprints in South Africa and Nigeria have received minimal empirical attention. The few available studies are non-exhaustive, often limiting broad-based policy refinements. With datasets spanning more than five decades (1971–2022), the novel Fourier Bootstrap Autoregressive Distributed Lag estimator was selected to account for structural breaks and nonlinearities. The empirical findings reveal divergent environmental pathways: South Africa’s carbon footprint (0.666% increase) is more related to energy depletion, reflecting coal-dominated electricity generation. Mineral depletion emerges as the primary culprit in Nigeria (10.856% increase), attributable to unregulated mining activities, including gas flaring and deforestation. Both countries face common challenges from urbanization (0.094% and 0.087% increases) and economic growth (0.107% and 0.046% increases). Trade openness shows insignificant effects. Short-run carbon footprint reductions from resource depletion improvements do not persist, underscoring the need for policy consistency. Policy effectiveness analysis identifies coal phase-out (0.9) and carbon pricing (0.8) as South Africa’s highest-return interventions. Mining regulation (0.9), green mining (0.9), and artisanal formalization (0.9) emerge as Nigeria’s priorities. The integration frameworks outperform siloed approaches. This implies South Africa may capture higher returns from policy coherence, while Nigeria may depend more on enforcement capacity. These findings provide evidence-based guidance for context-specific environmental policy design in resource-dependent economies.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.3390/su18179148first seen 2026-09-09 05:04:00
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