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、気候変動緩和において技術的効率化だけでは不十分であり、需要側の「十分性」を重視した構造的・行動的変化が必要と主張する。12年間のデータ分析経験を活かし、消費パターンのマテリアルフットプリントを評価し、絶対的な資源消費削減戦略を提案する。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 argues that technical efficiency alone is insufficient for climate mitigation and introduces a framework for demand-side sufficiency, prioritizing absolute reductions in resource consumption through structural and behavioral shifts. Leveraging 12 years of data analytics experience, it evaluates material footprints and proposes scalable 'sufficiency-first' policies as an alternative to growth-dependent 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行動変容が重要視されつつあるが、本論文はその理論的枠組みを提供する。日本の省エネ政策やカーボンフットプリント削減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, which is gaining traction in IPCC reports and EU policy. It offers a data-driven methodology for policymakers seeking absolute reduction strategies beyond efficiency, relevant to ISSB and transition finance discussions.
👥 読者別の含意
🔬研究者:Provides a conceptual framework and methodology for modeling sufficiency-based mitigation scenarios.
🏢実務担当者:Offers insights for corporate sustainability teams to consider demand-side reductions in value chain strategies.
🏛政策担当者:Presents a policy design alternative to growth-dependent models, useful for national climate plans.
📄 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.19481227first seen 2026-05-05 19:12:25
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