The signal strategy in low-carbon supply chains

Introduction 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. Methods 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. Results 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. Discussion 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.

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Publication Details

Journal
Frontiers in Physics
Published
2026-01-29
DOI
https://doi.org/10.3389/fphy.2025.1686006
Primary Topic
Sustainable Supply Chain Management
Type
article
Field-Weighted Citation Impact
0.00
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article

The signal strategy in low-carbon supply chains

Jiamuyan Xie, Shanshan Xie
Frontiers in Physics
Sustainable Supply Chain Management
article

The signal strategy in low-carbon supply chains

Jiamuyan Xie, Shanshan Xie
article en

Abstract

Introduction 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. Methods 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. Results 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. Discussion 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.

Frontiers in PhysicsVol. 13
Hunan University of Science and Technology (CN), Hunan University (CN), Hunan University of Technology (CN), Hunan First Normal University (CN)
Openalex Percentile: Top 75%
Sustainable Supply Chain Management
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