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Do Mineral Commodity Prices Shape Long-Run Carbon Emissions? Evidence from Copper, Gold, and Iron Exporting Economies

鉱物商品価格は長期的な炭素排出を形成するか？銅、金、鉄鉱石輸出国からの証拠 (AI 翻訳)

Muhammad Afnan Arif

プレプリント2026-05-27#エネルギー転換
DOI: 10.21203/rs.3.rs-9747785/v1
原典: https://doi.org/10.21203/rs.3.rs-9747785/v1

🤖 gxceed AI 要約

日本語

本論文は、銅、金、鉄鉱石を輸出する3つのサブパネルにおいて、鉱物商品価格サイクル、再生可能エネルギー消費、実質所得が二酸化炭素排出に与える長期的影響を分析。完全修正済み見かけ上無関係回帰を用いた結果、銅と鉄鉱石パネルで環境クズネッツ曲線仮説が支持され、再生可能エネルギーは全てのパネルで排出削減に寄与することが示された。商品価格の影響はサブパネルごとに異なり、資源収入を再生可能エネルギー転換に振り向ける政策が示唆される。

English

This paper empirically analyzes the long-run relationship between mineral commodity price cycles, renewable energy consumption, real income, and CO2 emissions for three panels of mineral-exporting economies (copper, gold, iron ore) from 1995-2022 using FM-OLS-based SUR. Results support the EKC hypothesis for copper and iron ore panels, with renewable energy consistently reducing emissions. Commodity price effects vary across panels, suggesting tailored policies to channel resource rents into renewable energy transition.

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

日本は鉱物資源の主要輸入国であり、本論文の結果は資源価格変動が排出経路に与える影響を理解する上で参考になる。ただし、日本固有の政策文脈（GX推進法やSSBJ）との直接的な関連は薄いが、再生可能エネルギー促進のための資源収入活用という観点は、日本のエネルギー安全保障議論に示唆を与える。

In the global GX context

This study contributes to global GX scholarship by providing empirical evidence on how commodity price cycles affect carbon emissions in resource-exporting economies, highlighting the role of renewable energy in decoupling emissions from income. It supports the argument that resource-rich countries can leverage mineral revenues for green transition, relevant for TCFD/ISSB-aligned disclosure on transition risks and opportunities in commodity-dependent sectors.

👥 読者別の含意

🔬研究者:Provides robust FM-OLS SUR methodology for testing EKC with commodity prices and renewable energy, useful for panel studies on emissions determinants.

🏢実務担当者:Commodity-exporting firms and investors can use these findings to assess long-term emission trajectories under different price scenarios and inform decarbonization strategies.

🏛政策担当者:Offers evidence for designing commodity-specific policies that allocate resource rents to accelerate renewable energy adoption and meet emission targets.

📄 Abstract（原文）

Abstract This article aims to empirically analyse the long-run relationship between mineral commodity price cycles, renewable energy consumption, real income, and carbon dioxide emissions, as well as to test the validity of the environmental Kuznets curve hypothesis in three commodity-specialised sub-panels of mineral-exporting economies over the period 1995 to 2022, using the fully modified seemingly unrelated regression estimation. The estimator combines cross-equation efficiency weighting with the fully modified correction for the second-order asymptotic bias from integrated regressors. The obtained results indicate that the fully modified correction reverses the squared income coefficient from positive to negative in the copper and iron-ore sub-panels, recovering an inverted-U income-emissions relationship that the bias-uncorrected baseline does not detect. Renewable energy consumption is associated with a robust negative long-run effect on emissions in all three sub-panels, with the largest absolute magnitude observed in the gold-exporting economies. Commodity price cycles and price volatility carry sub-panel-specific long-run effects on emissions that differ across copper, gold, and iron-ore exporters. The findings support policy frameworks that channel mineral resource rents into accelerating the renewable energy transition, with commodity-specific design appropriate for each sub-panel. JEL classification: C33, Q33, Q43, Q56

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