Development of hydrogen energy and estimation of policy subsidy intensity: a benchmarking analysis based on wind and solar energy development
水素エネルギーの開発と政策補助金強度の推定：風力・太陽光発電のベンチマーキング分析 (AI 翻訳)
Haoshuai Jia, Hai Jiang, Wangyinhao Chen, Jiandong Liu, Bofeng Xu
🤖 gxceed AI 要約
日本語
本論文は、風力・太陽光の政策展開をベンチマークとして、中国の水素エネルギー産業に対する補助金強度を推定するモデルを構築した。学習率18%が最適バランスであることを示し、グリーン水素認証や国際協力など具体的な政策提言を行っている。
English
This paper benchmarks China's wind and solar policy to estimate optimal subsidy intensity for hydrogen energy. It constructs a model showing an 18% learning rate achieves balance, and proposes policies including green hydrogen certification and international cooperation.
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
中国の水素補助金設計に関する分析は、日本の水素基本戦略や補助金制度の設計にも示唆を与える。特に学習率のベンチマーク手法は、SSBJ非財務情報の開示とも連動しうる。
In the global GX context
China's hydrogen subsidy benchmarking offers a replicable methodology for governments designing transition finance and hydrogen support schemes, aligning with global hydrogen certification and ISSB disclosure trends.
👥 読者別の含意
🔬研究者:The learning rate benchmarking model provides a quantitative framework for hydrogen policy analysis.
🏢実務担当者:Hydrogen project developers can use the subsidy intensity estimates to gauge investment viability under different policy scenarios.
🏛政策担当者:The paper offers a systematic approach to calibrate hydrogen subsidies using historical renewable energy data, relevant for national hydrogen strategies.
📄 Abstract（原文）
As the main driving forces of renewable energy, wind and photovoltaic power have important reference value for the emerging hydrogen energy industry in aspects such as policy guidance, technological innovation, and market cultivation. As a zero-carbon energy carrier, hydrogen energy can not only alleviate the intermittency of wind and solar power generation and enhance grid stability, but can also contribute to deep decarbonization across multiple sectors. At present, China’s hydrogen energy industry faces many challenges, including a low degree of localization, high costs, and incomplete standards. This article reviews key policies supporting the development of the wind and solar energy industries and, through benchmarking analysis, systematically evaluates the directions that the hydrogen energy industry can learn from. Furthermore, drawing on the experience of the wind and solar industries in promoting localization driven by policy subsidies during their early stages, a model for estimating the intensity of hydrogen energy policy subsidies is constructed to analyze subsidy requirements under different learning rates. It is found that a benchmark learning rate of 18% achieves an optimal balance. Based on the evaluation and analysis, several targeted suggestions are proposed to help the hydrogen energy industry overcome bottlenecks and achieve high-quality, large-scale development: strengthening innovation and intellectual property layout in key technologies such as electrolyzers and hydrogen storage materials; improving industry chain standards including the definition and certification of green hydrogen; deepening international cooperation with technologically leading countries; and promoting demonstration projects such as green hydrogen production and hydrogen-powered heavy-duty trucks.
🔗 Provenance — このレコードを発見したソース
- semanticscholar https://doi.org/10.3389/fenrg.2026.1730379first seen 2026-05-15 19:57:03
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