Simulation of automated carbon quota trading based on blockchain technology
ブロックチェーン技術に基づく自動化された炭素クオータ取引のシミュレーション (AI 翻訳)
O. A. Ivashchuk, D. V. Goncharov, I. I. Goncharova, B. E. Yagaliyeva
🤖 gxceed AI 要約
日本語
本論文は、ロシアとカザフスタンにおける京都議定書の枠組みのもと、ブロックチェーン技術とVCGアルゴリズムを用いた自動化された炭素排出枠取引プラットフォームのモデルを提案する。スマートコントラクトにより取引の自動化と透明性を実現し、不正リスクを低減する。プロトタイプのシミュレーションにより、効率的な排出枠管理と取引コスト削減の可能性を示した。
English
This paper proposes a model for automated carbon quota trading using blockchain technology and the VCG algorithm, targeting Russia and Kazakhstan under the Kyoto Protocol. Smart contracts automate transaction conditions and accounting, enhancing transparency and security. Simulations demonstrate improved quota management efficiency and reduced transaction costs.
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
日本ではカーボンプライシングの導入が進む中、ブロックチェーンを活用した排出枠取引の透明性向上策は参考になる。ただし、本論文はロシア・カザフスタン向けであり、日本の排出量取引制度（GXリーグ等）とは制度設計が異なるため、直接的な適用は難しい。
In the global GX context
Blockchain-based carbon trading has been explored globally, but this paper provides a simulation for Russia and Kazakhstan, two Kyoto Protocol parties. It adds to the literature on automated trading mechanisms, though lacks empirical data. For global GX context, it illustrates how emerging technologies can improve market transparency, but the specific implementation may not be directly transferable.
👥 読者別の含意
🔬研究者:A simulation-based approach for blockchain in carbon trading, useful for researchers working on market mechanism design.
🏢実務担当者:Limited immediate applicability for corporate sustainability teams without existing blockchain infrastructure.
🏛政策担当者:May inform policymakers in Russia/Kazakhstan on potential tech solutions, but less relevant for other regions.
📄 Abstract（原文）
Purpose of research. The Russian Federation and the Republic of Kazakhstan are member countries of the Kyoto Protocol, an international agreement aimed at reducing greenhouse gas emissions in order to combat climate change. This requires the formation of a model bank for automated management of the allocation of quotas for greenhouse gas emissions into the atmosphere. Methods. Based on the analysis of carbon accounting features, a new trading methodology based on Blockchain technology and the VCG algorithm is proposed, aimed at increasing transparency, security and automation of transactions between market participants. A method and algorithm for implementing carbon emission quotas through the auction system has been developed, which ensures the openness and transparency of the distribution process. Results. In this paper, we have modeled a digital platform for automated carbon emissions trading using Blockchain technology. A study of the existing tools and mechanisms of the carbon emissions quota market has been carried out, its main problems have been identified, such as insufficient transparency of transactions, the risk of fraud and difficulties in monitoring compliance with regulatory requirements. As part of the simulation, smart contracts were developed and tested, which automate the fulfillment of transaction conditions and transaction accounting. The use of Blockchain technology makes it possible to ensure high information security, control the course of trading and prevent unauthorized data changes. An automated system for accounting and conducting transactions increases the efficiency of quota management and reduces transaction costs. Conclusion. The developed prototype of the digital platform promotes the development of an environmentally responsible economy, encourages enterprises to reduce their carbon footprint, and ensures transparency and security in trading environmental quotas. As a result, the proposed model increases the confidence of market participants and contributes to the formation of a sustainable system for regulating greenhouse gas emissions.
🔗 Provenance — このレコードを発見したソース
- crossref https://doi.org/10.21869/2223-1560-2026-30-1-79-95first seen 2026-05-14 23:06:42
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