Green Energy, Financial Development and Agriculture: Drivers of Environmental Sustainability in ASEAN Economies
グリーンエネルギー、金融発展、農業：ASEAN経済における環境持続可能性の推進要因 (AI 翻訳)
Nasir Munir, S. Kousar
🤖 gxceed AI 要約
日本語
本研究は、1990年から2021年のASEAN10カ国を対象に、再生可能エネルギー消費、金融発展、農業、デジタル化などがCO2排出に与える影響を分析。分位点回帰を用いた結果、再生可能エネルギーと農業は排出削減に寄与する一方、産業活動とデジタル化は排出を増加させることが判明。グローバルバリューチェーン参加は「汚染ハイブン」効果を示唆。パリ協定とSDGs達成に向けた政策への示唆を提供。
English
This study examines determinants of CO2 emissions across ten ASEAN economies (1990-2021), focusing on renewable energy consumption, financial development, agriculture, and digitalization. Using quantile regression, it finds that renewable energy and agriculture consistently reduce emissions, while industrial activity and digitalization exacerbate emissions, especially at higher quantiles. Global value chain participation is linked to increased emissions, suggesting pollution haven effects. Results support aligning post-pandemic recovery with Paris Agreement and SDGs.
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
ASEAN地域の実証分析だが、日本企業が東南アジアのサプライチェーンにおける脱炭素戦略を検討する際の参考となる。特に再生可能エネルギー導入と農業部門の排出削減効果は、日本の技術協力や投資判断に活用できる。
In the global GX context
While focused on ASEAN, this paper provides robust empirical evidence on the heterogeneous effects of renewable energy and economic factors on emissions in emerging economies. It complements global disclosure scholarship by highlighting how participation in global value chains can undermine environmental sustainability, a relevant insight for ISSB and transition finance frameworks.
👥 読者別の含意
🔬研究者:The quantile regression methodology and the finding of heterogeneous effects across emission levels offer a methodological template for similar studies in other regions.
🏢実務担当者:Corporate sustainability teams in ASEAN or with ASEAN supply chains can use the results to prioritize renewable energy and agricultural value chains as emissions reduction levers.
🏛政策担当者:Policymakers in ASEAN and other developing regions can leverage the evidence to design targeted policies that promote renewable energy and sustainable agriculture while mitigating industrial emissions.
📄 Abstract（原文）
This study investigates the determinants of CO₂ emissions across ten ASEAN economies from 1990 to 2021, focusing on renewable energy consumption (LNREC), financial development (LNFD), Industry 4.0 (LNIND), agriculture (LNAGRI), global value chains (LNGVA), and digitalization (LNDGT). Employing a rigorous empirical strategy—including Driscoll-Kraay standard errors, Pedroni and Westerlund co-integration tests, quantile regression, and the Method of Moments Quantile Regression (MMQR)—we uncover significant heterogeneous effects across the emission distribution. Renewable energy consumption and agricultural value added consistently reduce CO₂ emissions across all quantiles, while industrial activity and digitalization exacerbate emissions, particularly at higher quantiles. Financial development exerts a moderate yet significant effect on emissions. Participation in the global value chain is associated with increased emissions, suggesting "pollution haven" dynamics within ASEAN manufacturing hubs. Robustness checks using AMG, FMOLS, and DOLS estimators corroborate the main findings. These results carry important implications for policymakers seeking to align ASEAN's post-pandemic recovery with the Paris Agreement targets and the UN Sustainable Development Goals, particularly SDG 7 (Clean Energy) and SDG 13 (Climate Action).
🔗 Provenance — このレコードを発見したソース
- semanticscholar https://doi.org/10.62345/jads.2026.15.3.17first seen 2026-05-17 07:47:13 · last seen 2026-05-20 05:35:33
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