The signal strategy in low-carbon supply chains
低炭素サプライチェーンにおけるシグナル戦略 (AI 翻訳)
Shanshan Xie, Jiamuyan Xie
🤖 gxceed AI 要約
日本語
本論文は、需要情報の非対称性下での低炭素サプライチェーンにおけるメーカーのシグナリング戦略を動的ゲームモデルで分析。メーカーは需要が低い場合に生産量と炭素削減量を下方に歪める必要があり、推論効果が両者に悪影響を与えることなどを示した。
English
This paper analyzes signaling strategies in low-carbon supply chains under demand information asymmetry using a dynamic game model. It finds that manufacturers must distort output and carbon reduction downward to signal low demand, and that inference effects worsen outcomes for both parties.
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
日本ではサプライチェーン全体の脱炭素化が求められており、本理論モデルは情報非対称下での協調の難しさを示唆する。日本の企業が低炭素化戦略を立てる際の参考となる。
In the global GX context
This theoretical model highlights the challenge of coordinating low-carbon supply chains under information asymmetry, relevant for global decarbonization efforts where transparency and signaling are key.
👥 読者別の含意
🔬研究者:The dynamic signaling model offers a novel framework for analyzing information asymmetry in low-carbon supply chains.
🏢実務担当者:Managers in low-carbon supply chains can learn how demand uncertainty affects optimal carbon reduction and output decisions.
📄 Abstract（原文）
This research examines a low-carbon supply chain involving a vertically integrated manufacturer with private market demand information and a retailer that sources low-carbon products. The two parties engage in quantity competition. We establish a dynamic signaling game model to analyze how the manufacturer can use its output and carbon emission reduction level signaling demand information to the retailer under asymmetric conditions. Our findings indicate that (1) the manufacturer must always distort its quantities and carbon emission reduction levels downward to signal low demand; (2) the inference effect worsens the situation of the manufacturer and the retailer; (3) manufacturer’s signaling strategies are influenced by several factors, such as market demand volatility, the prior probability of market demand, its capacity for reducing emission, and consumers preferences for low-carbon products. The novelty of this research lies in incorporating demand information asymmetry into the manufacturer’s output and carbon emission reduction strategies, providing valuable insights for low-carbon supply chains to coordinate the most appropriate signaling strategies.
🔗 Provenance — このレコードを発見したソース
- semanticscholar https://doi.org/10.3389/fphy.2025.1686006first seen 2026-05-05 22:10:32
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。