グリーン電力証書の財政的インセンティブと市場効果：電力市場取引のための多目的最適化アプローチ
Fiscal Incentive Mechanisms and Market Effects of Green Electricity Certificates: A Multi-Objective Optimization Approach for Power Market Trading (原題)
Tong Ni, Wanlong Huang, Yifei Tang, Qiang Ma, Q. Liao
🤖 gxceed AI 要約
日本語
本論文は、グリーン電力証書（GEC）市場の流動性不足と財政政策の不整合を解決するため、税額控除と段階的炭素税を統合した需給モデルを構築。ε制約法に基づく多目的最適化アルゴリズムを提案し、中国の省級電力会社の実取引データ（2022-2024年）を用いてシミュレーションを実施。強化された財政政策により、企業調達量が160万枚に達し、炭素削減効果がベースライン比68%向上することを実証。政策感応度と市場調整能力の優位性を示した。
English
This paper addresses low liquidity and fiscal policy mismatches in Green Electricity Certificate (GEC) markets by developing a supply-demand model integrating tax credits and tiered carbon taxes. Using an ε-constraint multi-objective optimization algorithm and actual transaction data from a Chinese provincial grid corporation (2022-2024), simulations show that enhanced fiscal policies (tax credit coefficient 0.10, tiered carbon tax rates of (200,100) RMB/certificate) increase corporate procurement to 1.6 million certificates, achieving 68% higher carbon reduction benefits than baseline. The algorithm demonstrates superior policy sensitivity and market regulation capability.
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、再生可能エネルギー証書（J-クレジットや非化石証書）の市場流動性向上が課題。本論文の多目的最適化手法は、日本の証書市場設計やSSBJ開示における環境価値取引の効率化に示唆を与える。
In the global GX context
Globally, this research contributes to the design of effective fiscal incentives for renewable certificate markets, relevant to jurisdictions implementing carbon pricing and renewable portfolio standards. The multi-objective optimization framework offers a quantitative tool for balancing economic and environmental outcomes, applicable to emerging GEC markets worldwide.
👥 読者別の含意
🔬研究者:Provides a novel multi-objective optimization framework for GEC market design, with empirical validation using real transaction data.
🏢実務担当者:Offers insights into how fiscal policies can enhance corporate procurement of green certificates, informing procurement strategies.
🏛政策担当者:Demonstrates the impact of tax credits and tiered carbon taxes on GEC market efficiency, useful for designing effective climate policies.
📄 Abstract（原文）
As global climate change intensifies, Green Electricity Certificates (GEC) serve as a critical market tool for renewable energy development and carbon emission reduction. However, GEC markets face challenges of low liquidity and mismatched fiscal policies. This paper develops a comprehensive supply-demand model integrating tax credit and tiered carbon tax mechanisms to regulate GEC market efficiency. We propose an ε-constraint based multi-objective optimization algorithm to balance economic benefits and environmental outcomes. Using actual transaction data from a provincial grid corporation in China (2022–2024), simulation results demonstrate that enhanced fiscal policies (tax credit coefficient 0.10, tiered carbon tax rates of (200,100) RMB/certificate) increase corporate procurement to 1.6 million certificates, achieving 68% higher carbon reduction benefits compared to the baseline scenario. Furthermore, market stability is maintained under ±20% price fluctuations. Comparative analysis with weakened policy scenarios validates the algorithm’s superior policy sensitivity and market regulation capability. This research provides a quantitative decision-making framework for green mechanism design in power market trading.
🔗 Provenance — このレコードを発見したソース
- semanticscholar https://doi.org/10.1109/eespe68405.2026.11648217first seen 2026-08-21 04:53:03 · last seen 2026-09-21 04:58:08
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