サプライチェーン脱炭素における炭素政策と社会動学の相互作用：ネットワークシステムアプローチ
The Interplay of Carbon Policy and Social Dynamics in Supply Chain Decarbonization: A Network Systems Approach (原題)
Xianrong Hu, Tonghua Yang, Xiaoqing Huang
🤖 gxceed AI 要約
日本語
炭素クォータ制約と同調行動がサプライチェーン産業クラスターの低炭素移行をどう共進化させるかを、Watts–Strogatz小型世界ネットワーク上の進化モデルとモンテカルロシミュレーションで分析。同調行動には臨界閾値があり、極端な同調は経済的インセンティブを打ち消し高炭素ロックインを招く。炭素価格には厳格な経済閾値が存在し、それを超えると完全脱炭素への相転移が生じる。ネットワーク構造と中核ノードの役割も移行を左右する。
English
Using a Watts–Strogatz small-world network and Monte Carlo simulations, this paper models how carbon quota constraints and conformity behavior jointly shape low-carbon transitions in supply chain clusters. Conformity shows a critical threshold: moderate levels slow diffusion but allow economic incentives to prevail, while extreme conformity causes high-carbon lock-in. Carbon pricing exhibits a strict economic threshold triggering a phase transition to full decarbonization, and network topology and core nodes modulate outcomes.
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
SSBJ・Scope3開示が進む日本企業にとって、サプライチェーン上流の行動規範と炭素価格設計が移行速度を左右するという示唆は、調達部門の脱炭素戦略や業界団体の自主行動計画の設計に直結する。
In the global GX context
As ISSB/CSRD push Scope 3 disclosure, this systems model helps explain why identical carbon prices yield divergent supply-chain outcomes across clusters—useful for designing transition finance and policy that account for behavioral dynamics.
👥 読者別の含意
🔬研究者:ネットワーク動学と行動経済学を統合した脱炭素移行モデルの新たな分析枠組みを提供する。
🏢実務担当者:サプライヤー同調圧力と炭素価格の相互作用を踏まえ、調達先エンゲージメント設計に活用できる。
🏛政策担当者:炭素価格の閾値効果とネットワーク構造規制の重要性を示し、産業クラスター政策に示唆を与える。
📄 Abstract（原文）
Decarbonizing supply chains is a complex systemic challenge where institutional constraints such as carbon policies intersect with behavioral responses including social dynamics within intricate network structures. Existing studies often examine these factors in isolation, overlooking their coupled systemic interactions. This paper adopts a network systems approach to investigate how carbon quota constraints and conformity behavior jointly shape the evolution of low-carbon transitions within supply chain industrial clusters. Using a Watts–Strogatz small-world network as the structural carrier, we develop an evolutionary system model that integrates individual economic rationality with social learning dynamics. By combining analytical derivations with Monte Carlo simulations, we reveal the critical systemic thresholds arising from this interplay. The results indicate that while carbon policy sets the economic baseline, its effectiveness is profoundly modulated by social dynamics. Specifically, conformity exhibits a critical threshold effect: moderate conformity slows diffusion but ultimately allows economic incentives to prevail; however, extreme conformity overwhelms economic signals, leading to a systemic high-carbon lock-in. Furthermore, network topology acts as a crucial regulator: small-world structures with moderate rewiring optimally balance local coordination and global spread, effectively buffering the negative impacts of conformity. Carbon pricing demonstrates a strict economic threshold, above which the system undergoes a phase transition towards full decarbonization, though with diminishing marginal returns. Finally, core nodes can act as breakthrough agents under moderate conformity but lose their advantage under extreme social pressure. These findings provide a systems-level understanding of supply chain decarbonization, offering actionable insights for designing carbon policies that account for behavioral dynamics and optimizing industrial network structures to foster sustainable transitions.
🔗 Provenance — このレコードを発見したソース
- crossref https://doi.org/10.3390/systems14101227first seen 2026-10-03 05:52:44 · last seen 2026-10-07 06:01:02
🔔 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。