Framework for Demand Side Sufficiency in Global CO2 Mitigation
世界のCO2削減における需要側の十分性の枠組み (AI 翻訳)
Kunal Patil
🤖 gxceed AI 要約
日本語
本論文は、気候変動緩和における需要側の十分性（資源・エネルギー消費の絶対削減）の枠組みを提案する。従来の効率改善だけでは1.5℃目標達成が困難とし、構造的・行動的変化を通じた絶対削減戦略をモデル化する。政策立案者向けに、成長依存型モデルに代わるデータに基づく代替案を提供する。
English
This paper proposes a framework for demand-side sufficiency—prioritizing absolute reductions in resource and energy consumption through structural and behavioral shifts—as a necessary complement to efficiency gains for meeting the 1.5°C target. It models absolute reduction strategies in high-impact sectors and offers policymakers a data-backed alternative to growth-dependent mitigation models.
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
日本では、GX実現に向けて需要側の変革が重要視されつつあるが、本論文はその理論的基盤を提供する。特に、日本のエネルギー消費構造や産業政策に示唆を与える可能性がある。
In the global GX context
This paper contributes to the global discourse on sufficiency-based climate policy, challenging the dominant efficiency paradigm. It aligns with emerging discussions in the IPCC and EU policy circles on demand-side mitigation, offering a scalable methodology for absolute reduction strategies.
👥 読者別の含意
🔬研究者:Provides a theoretical framework for demand-side sufficiency and a methodology for modeling absolute reduction strategies.
🏢実務担当者:Offers insights for corporate sustainability teams to rethink consumption-based reduction targets beyond efficiency.
🏛政策担当者:Presents a data-backed alternative to growth-dependent mitigation models, useful for designing sufficiency-first policies.
📄 Abstract（原文）
While global climate mitigation has historically focused on efficiency (doing more with less), current IPCC pathways and ecological boundary data suggest that technical gains alone are insufficient to meet the 1.5°C Paris Agreement goals. This research introduces a transition framework toward demand-side sufficiency—the practice of prioritizing absolute reductions in resource and energy consumption through structural and behavioral shifts.Leveraging twelve years of professional expertise in predictive modeling and large-scale data analytics, this study evaluates the "material footprint" of current consumption patterns against finite global CO2 budgets. The work plan moves beyond marginal efficiency gains to model absolute reduction strategies in high-impact sectors. By integrating socio-economic indicators with environmental thresholds, the research proposes a scalable methodology for "sufficiency-first" policy design. The findings aim to provide policymakers with a robust, data-backed alternative to traditional growth-dependent mitigation models, ensuring that climate action remains within safe planetary boundaries.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.5281/zenodo.19481226first seen 2026-05-05 19:12:21
🔔 こうした論文の新着を逃したくない方は キーワードアラート に登録（無料・3キーワードまで）。
gxceed は公開メタデータに基づく研究支援データセットです。要約・翻訳・解説は AI 支援で生成されています。 最終的な解釈・検証は利用者が原典資料に基づいて行うことを前提とします。