Reshaping the solar PV supply chain: Adaptive network evolution driven by synergistic green policy portfolios
太陽光発電サプライチェーンの再形成:協調的なグリーンポリシーポートフォリオによる適応型ネットワーク進化 (AI 翻訳)
Wenli Yang, Yaoqun Zheng
🤖 gxceed AI 要約
日本語
本研究は、エージェント・ネットワーク結合動的モデルを用いて、排出権取引、グリーン電力取引、再生可能エネルギー消費割当などのグリーンポリシーポートフォリオが太陽光発電サプライチェーンの進化に与える影響を分析した。単一政策は短期的な調整に留まるが、協調的な政策ポートフォリオは収益性、炭素強度低減、システム回復力を同時に改善し、3つのジレンマを緩和することを明らかにした。政策の連携が低炭素産業移行に重要であることを示唆している。
English
This study develops an agent-network coupled dynamic model to analyze how green policy portfolios, including emissions trading, green electricity trading, and renewable consumption quotas, affect the evolution of solar PV supply chains. The results show that single policies only trigger short-term adjustments, while coordinated policy portfolios simultaneously improve profitability, reduce carbon intensity, and enhance system resilience, helping alleviate the profitability-decarbonization-resilience trilemma. The findings underscore the importance of policy coordination over individual policy strength for low-carbon industrial transitions.
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
中国の太陽光発電サプライチェーンを対象としているが、日本のGX政策(例:排出権取引、グリーン電力取引)にも示唆を与える。特に、複数政策の連携効果を定量的に示した点は、日本のGX実践において政策設計の参考となる。
In the global GX context
This paper provides a novel agent-network model to examine how coordinated green policy portfolios drive supply chain evolution in the solar PV sector. It offers valuable insights for global policymakers and practitioners designing integrated policy mixes to foster low-carbon transitions, particularly relevant for countries with complex renewable energy policies.
👥 読者別の含意
🔬研究者:Researchers can adopt the agent-network coupled dynamic model to study policy impacts on supply chain evolution in other sectors or regions.
🏢実務担当者:Supply chain managers can understand how different policy portfolios affect profitability, carbon intensity, and resilience, aiding strategic planning.
🏛政策担当者:Policymakers should note that coordinated policy portfolios are more effective than single instruments in driving long-term structural transformation in renewable supply chains.
📄 Abstract(原文)
Solar photovoltaic (PV) supply chains play a crucial role in supporting the global energy transition and achieving China's carbon neutrality goals. However, despite the implementation of multiple green policy instruments such as the Emissions Trading Scheme, Green Electricity Trading, and Renewable Consumption Quotas, their combined effects on PV supply chain evolution remain insufficiently understood. To address this gap, this study develops an agent–network coupled dynamic model to capture how heterogeneous firm behavior and supply chain interactions respond to different green policy portfolios and shape system-level performance. The results reveal three key findings. First, single-policy interventions generally trigger short-term behavioral adjustments but fail to induce stable structural transitions in the supply chain system. Second, coordinated policy portfolios generate nonlinear amplification effects that simultaneously improve profitability, reduce carbon intensity, and enhance system resilience, thereby helping alleviate the profitability–decarbonization–resilience trilemma faced by PV supply chains. Third, although policy shocks may temporarily weaken system resilience in the early stages, coordinated policy mechanisms can drive long-term structural recovery and lead to significantly higher resilience over time. Overall, the sustainable transformation of PV supply chains depends less on the strength of individual policy instruments and more on the coordination among multiple policy tools that shape firm behavior and supply chain network evolution. These findings provide important policy implications for designing more effective green policy portfolios to support low-carbon industrial transitions. • Fragmented green policies trigger short-term responses but fail to sustain long-term investment and cooperation in PV supply chains. • An agent–network model examines how carbon pricing, green electricity trading, and quotas shape supply chain evolution. • Coordinated policies drive non-linear changes in firm behavior and network structure, enabling persistent cooperation. • Policy coordination outperforms single policies in decarbonization, economic returns, and system resilience. • PV supply chain transition depends on policy-induced feedback rather than isolated regulatory intensity.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.1016/j.enpol.2026.115327first seen 2026-05-17 04:49:09
🔔 こうした論文の新着を逃したくない方は キーワードアラート に登録(無料・3キーワードまで)。
gxceed は公開メタデータに基づく研究支援データセットです。要約・翻訳・解説は AI 支援で生成されています。 最終的な解釈・検証は利用者が原典資料に基づいて行うことを前提とします。