Optimization of Carbon Emission Reduction Task Allocation in China (2020–2030): A Cost-Based Inter-Provincial Cooperation Mechanism
中国における炭素排出削減タスク配分の最適化（2020–2030年）：コストベースの省間協力メカニズム (AI 翻訳)
Xinyu Wang, Hongyun Zhao, Pansong Jiang
🤖 gxceed AI 要約
日本語
本研究は、中国の2030年カーボンピーク目標達成に向けて、省間の限界削減費用曲線モデルを用いたコストベースの協力メカニズムを提案。協力により全国総削減費用が60～70%削減可能であるが、経済効率と地域ピーク目標のトレードオフが存在。40%の協力比率が最適バランスと推奨される。
English
This study proposes a cost-based inter-provincial cooperation mechanism for carbon emission reduction task allocation in China, using marginal abatement cost curves. Results show cooperation reduces national costs by 60-70% with high cooperation ratios, but a trade-off exists between economic efficiency and provincial peaking targets. A 40% cooperation ratio is recommended as the optimal balance.
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GX政策においても、都道府県間の排出削減協力メカニズムの設計に示唆を与える可能性があるが、中国の省間格差と日本の地域特性は異なるため、直接的な適用には注意が必要。
In the global GX context
This paper provides a quantitative framework for inter-regional cooperation on carbon reduction, relevant for countries with regional disparities like China. It offers insights for designing differentiated cooperation strategies to meet COP commitments.
👥 読者別の含意
🔬研究者:Provides a model for cost-effective allocation of emission reduction tasks across heterogeneous regions, useful for studying cooperative carbon policies.
🏢実務担当者:Offers a methodology for firms or regions to assess potential cost savings from collaborating on abatement efforts.
🏛政策担当者:Demonstrates the trade-offs between efficiency and timely peak emissions, informing the design of regional cooperation mechanisms.
📄 Abstract（原文）
Driven by the global mandates of the United Nations Sustainable Development Goals (particularly SDG 13 and SDG 17) and the climate targets established at COP summits, China strives to achieve its carbon peaking target by 2030 but faces significant challenges due to substantial regional disparities in abatement capacities. This paper proposes a cost-based inter-provincial cooperation mechanism to optimize carbon emission reduction (CER) task allocation. Using a marginal abatement cost curve model, we simulate provincial CER tasks from 2020 to 2030 under various cooperation scenarios. The results indicate that: (1) Cooperation significantly reduces the national total abatement cost compared to independent implementation. Specifically, the cost-saving ratio can reach approximately 60–70% when the cooperation proportion is high (80%). (2) There is a trade-off between economic efficiency and regional peaking targets. While an 80% cooperation proportion is economically optimal for 2020–2028, and a 60% proportion for 2029–2030, a 40% cooperation proportion is ultimately recommended as the balanced optimal ratio to ensure that most provinces achieve their carbon peaks before 2030. (3) The mechanism effectively narrows the disparity in abatement costs across regions. By offering a scalable paradigm for inter-regional climate collaboration, this study provides a theoretical basis for designing differentiated cooperation strategies to fulfill COP commitments and advance the global SDGs.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.3390/su18073455first seen 2026-05-17 06:53:56
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