Bargaining-Game and Distribution Mechanism Design for GHG Carbon Pricing Under the IMO Net-Zero Framework
IMOネットゼロ枠組みの下でのGHG炭素価格のための交渉ゲームと分配メカニズム設計 (AI 翻訳)
Jiacheng Zhu, Juntao Gao, Guangnian Xiao, Guanghui Yuan
🤖 gxceed AI 要約
日本語
本論文は、IMOネットゼロ枠組みにおけるGHG炭素価格収入の公平な分配を目的に、多国間交渉ゲームモデルを構築した。責任・ニーズ基準、損失回避、水平的公平性選好、投票閾値を組み込み、発展途上国と先進国間の均衡メカニズムを理論的に導出した。シミュレーションでは、発展途上国が収入の大部分を得る結果を示し、公平性と受容性を高めるための制度設計への示唆を提供する。
English
This paper develops a multilateral bargaining model for the fair distribution of GHG carbon pricing revenues under the IMO net-zero framework. Incorporating responsibility–need reference points, loss aversion, horizontal fairness preferences, and voting thresholds, it theoretically derives equilibrium allocations between developing and developed countries. Simulations show developing countries receive the majority of revenue, offering insights for mechanism design to enhance fairness and acceptability.
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
本論文はIMOの炭素価格メカニズムにおける収入分配の公平性を扱っており、日本としても国際海運の脱炭素政策を検討する上で重要な示唆を与える。日本の海運業界や政策担当者は、この分配モデルを参考に交渉戦略を立てることができる。
In the global GX context
This paper addresses a critical aspect of the IMO's net-zero framework: fair revenue distribution from carbon pricing. As global shipping decarbonization advances, this game-theoretic model provides a structured approach to balancing developed and developing country interests, relevant for ongoing ISSB and transition finance discussions.
👥 読者別の含意
🔬研究者:Provides a game-theoretic model for mechanism design in carbon pricing revenue distribution, useful for scholars in climate policy and international bargaining.
🏢実務担当者:Helps shipping companies and industry associations understand potential revenue distribution outcomes under IMO carbon pricing scenarios.
🏛政策担当者:Offers a framework for IMO delegations to assess fairness and acceptability of different carbon pricing revenue allocation mechanisms.
📄 Abstract(原文)
Under the IMO net-zero framework, a GHG carbon-pricing mechanism must not only generate an effective price signal for emission reduction, but also address the fair distribution of carbon revenues among different types of member states. In view of the differences between developing and developed countries in transition needs, responsibility attribution, and policy affordability, this paper develops a multilateral bargaining model that incorporates a responsibility–need reference point, loss aversion, horizontal fairness preferences, and a voting threshold, and analyzes the equilibrium formation mechanism for the distribution of carbon-pricing revenues. Theoretical derivation shows that a higher responsibility–need weight raises the fairness reference point of developing countries and increases their minimum acceptable allocation requirement; loss aversion operates through a rejection-threat channel by shrinking the acceptable set of proposals below the reference point; and horizontal fairness preferences compress the relative deviation gap between the two types of countries and may trigger a transformation of the support structure once certain thresholds are reached. The simulation results show that, in the baseline L-proposer case, developing countries receive 105.48 out of the normalized revenue R=120, while developed countries receive 14.52. Under the stress scenario with q=121>NL=120, the mechanism requires cross-type support and yields group-level allocations of 106.56 and 13.44, respectively. At the same time, horizontal fairness preferences and voting rules jointly weaken the proposer’s ability to obtain additional gains through agenda-setting power. The study indicates that the IMO carbon-revenue distribution mechanism should strengthen responsibility–need orientation and cross-type support constraints while maintaining a unified carbon price signal, so as to improve the fairness, acceptability, and institutional stability of the carbon-pricing mechanism.
🔗 Provenance — このレコードを発見したソース
- crossref https://doi.org/10.3390/su18147289first seen 2026-07-17 06:13:43
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