Carbon threshold governance: Resolving the building Policy-Carbon Paradox with blockchain-AI
炭素閾値ガバナンス:ブロックチェーンAIで建築の政策-炭素パラドックスを解消する (AI 翻訳)
Yue Lyu
🤖 gxceed AI 要約
日本語
建築セクターの「政策-炭素パラドックス」を解決するため、ブロックチェーンAI融合による動的炭素ガバナンスを導入したThreshold-regulated Policy Framework(TPF)を提案。120ドル/tCO2と200ドル/tCO2の2つの重要な炭素価格閾値を特定し、ISO準拠のブロックチェーンMRVシステムにより測定不確実性を73%削減。地域別に中国で38.2%のコスト削減、EUで55%の炭素削減、グローバルサウスで72.4%の検証コスト削減を達成し、1.5℃目標への整合確率92.3%を示す。
English
Proposes a Threshold-regulated Policy Framework (TPF) using blockchain-AI fusion to resolve the building sector's 'Policy-Carbon Paradox.' Identifies two critical carbon price thresholds ($120/tCO2 and $200/tCO2) and demonstrates a blockchain-MRV system compliant with ISO 14064-3:2019 that reduces measurement uncertainty by 73%. Applied regionally, it cuts costs by 38.2% in China, embodied carbon by 55% in the EU, and verification costs by 72.4% in the Global South, with a 92.3% probability of aligning with the 1.5°C goal.
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
日本の建築セクターでも、GX政策や炭素価格制度の設計において、本論文が示す閾値ベースの動的ガバナンスやブロックチェーンMRVの活用は参考となる。特に、省エネ基準や木材利用促進との連動が期待される。
In the global GX context
This paper offers a novel framework for decarbonizing the building sector that integrates carbon pricing thresholds, blockchain MRV, and policy feedback loops. It provides empirical evidence and regional applications that could inform global carbon governance, especially for the EU CBAM and China's ETS.
👥 読者別の含意
🔬研究者:A new theoretical model (sigmoidal thresholds) and empirical evidence on carbon pricing effectiveness, with a practical blockchain-AI MRV system.
🏢実務担当者:A data-driven framework (TPF) with blockchain MRV that reduces uncertainty and costs, applicable to corporate decarbonization strategies and green building projects.
🏛政策担当者:Concrete carbon price thresholds ($120 and $200/tCO2) and a policy design (PTE Loop) that can enhance carbon pricing mechanisms and align with 1.5°C goals.
📄 Abstract(原文)
The building sector faces a critical “Policy-Carbon Paradox”: while carbon pricing covers 23% of global emissions, it addresses only 12.7% of construction emissions, resulting in a 7.6-fold decarbonization lag. To resolve this, we propose a Threshold-regulated Policy Framework (TPF) that leverages blockchain-AI fusion for dynamic carbon governance. Empirically, we identify two critical carbon price thresholds: a material substitution tipping point at $120 ± 15/tCO2 (p < 0.01) and an energy system transformation point at $200/tCO2 (Internal Rate of Return (IRR) > 8%). Theoretically, these sigmoidal thresholds supersede the conventional Environmental Kuznets Curve, demonstrating a 0.38 R2 improvement over static models. Methodologically, an ISO 14064-3:2019-compliant blockchain-Measurement, Reporting and Verification (MRV) system achieves a 73% reduction in measurement uncertainty (Root Mean Square Error (RMSE) = 0.48 kg CO2e/tonne) and enables real-time policy adjustments with 2.3 ± 0.7-h latency. This activates a self-reinforcing Policy-Technology-Environment (PTE) Loop, driving a 17-fold growth in green bond issuance and increasing prefabrication penetration by 51.4 percentage points. Applied regionally, the framework reduces decarbonization costs by 38.2% in China (φ-adjusted Emissions Trading System (ETS)), cuts embodied carbon by 55% in the EU (Carbon Border Adjustment Mechanism Building Information Modeling (CBAM-BIM) integration), and slashes verification costs by 72.4 ± 5.2% in the Global South (satellite-blockchain MRV). Collectively, this generates $2.8 ± 0.6 billion/year in health co-benefits through PM2.5 reduction. Our findings establish a scalable, data-driven pathway to close the building sector's decarbonization gap with a 92.3% probability of aligning with the 1.5 ℃ climate goal.
🔗 Provenance — このレコードを発見したソース
- openaire https://doi.org/10.59400/be3764first seen 2026-05-14 21:17:41
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