Research on collaborative R&D decision making of photovoltaic industry supply chain considering green preference under carbon target regulation
炭素目標規制下におけるグリーン選好を考慮した太陽光産業サプライチェーンの協調研究開発意思決定に関する研究 (AI 翻訳)
Jun Hu, Zhuoming Wei
🤖 gxceed AI 要約
日本語
本論文は、炭素税と消費者のグリーン選好を考慮し、差分ゲーム理論を用いて太陽光産業サプライチェーンにおける協調研究開発（R&D）の炭素削減モデルを構築。3つのシナリオ（R&Dなし、独立R&D、協調R&D）を比較し、協調R&Dが最適な炭素削減をもたらすことを示した。炭素税率の上昇は排出量を増加させる一方、利益を減少させ、製造業者のR&Dコスト負担が大きいほどサプライヤーの削減効果が高まる。消費者のグリーン選好は削減に寄与する。
English
This paper constructs a collaborative R&D carbon reduction model for the photovoltaic supply chain using differential game theory, considering carbon tax and consumer green preferences. It compares three scenarios: no R&D, independent R&D, and collaborative R&D. Findings show that collaborative R&D yields higher carbon reductions. Higher carbon tax rates increase emissions but reduce profits, while greater R&D cost-sharing by manufacturers boosts supplier reductions. Consumer green preferences enhance emission reductions.
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
日本でも太陽光発電のサプライチェーンは重要であり、炭素税やグリーン選好の影響分析は、日本企業の研究開発戦略や政策立案に示唆を与える。特に、協調R&Dの効果を定量化している点が実務上有用。
In the global GX context
This research provides insights for global photovoltaic supply chains under carbon pricing and green preferences. The collaborative R&D modeling can inform policy design and corporate strategy in countries like China, the EU, and the US, where solar energy and carbon targets are key.
👥 読者別の含意
🔬研究者:The differential game model offers a theoretical framework for studying collaborative R&D in green supply chains under regulation.
🏢実務担当者:Solar industry firms can use the findings to optimize R&D collaboration and cost-sharing arrangements to enhance carbon reductions.
🏛政策担当者:Policymakers can consider the trade-offs between carbon tax rates, R&D incentives, and consumer green preferences when designing regulations.
📄 Abstract（原文）
Under the dual carbon target regulation, this article constructs a collaborative research and development carbon reduction model for the photovoltaic industry supply chain from the perspective of carbon tax and consumer green preferences, using differential game theory. Considering three different scenarios of no research and development carbon reduction, independent research and development carbon reduction, and collaborative research and development carbon reduction, the optimal factors and profit values are obtained, and case analysis and sensitivity analysis are conducted. Research has found that: 1) The optimal carbon reduction achieved by photovoltaic industry supply chain entities through cooperative research and development is higher than that achieved through independent research and development. 2) The increase in carbon tax rates has to some extent increased carbon emissions, but at the same time reduced the overall profit of the photovoltaic industry chain. 3) The higher the proportion of research and development costs borne by photovoltaic system manufacturers, the higher the carbon emission reduction of photovoltaic silicon wafer suppliers' research and development. 4) Consumer green preferences are beneficial for increasing carbon emissions reduction in the photovoltaic industry chain.
🔗 Provenance — このレコードを発見したソース
- semanticscholar https://doi.org/10.5267/j.ijiec.2025.10.003first seen 2026-05-05 22:00:21
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