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Chinese Journal of Management Science ›› 2025, Vol. 33 ›› Issue (7): 360-368.doi: 10.16381/j.cnki.issn1003-207x.2022.2144

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Research on Optimal Emission Reduction and Regulatory Policies for Competitive Supply Chains under Carbon Trading Mechanism

Jin Li1,2, Heqi Jiang1, Shengqi Ding1, Haixia Zhang3(), Bei Wu1   

  1. 1.Modern Business Research Center & School of Management and E-Business,Zhejiang Gongshang University,Hangzhou 310018,China
    2.Research Centre for Digital Innovation and Global Value Chain Upgrading,Zhejiang Gongshang University,Hangzhou 310018,China
    3.School of Public Affairs,Zhejiang Gongshang University,Hangzhou 310018,China
  • Received:2022-09-29 Revised:2024-01-15 Online:2025-07-25 Published:2025-08-06
  • Contact: Haixia Zhang E-mail:avivachang@126.com

Abstract:

The optimal emission reduction strategies and decision structure selection for competing supply chains under a cap-and-trade mechanism are in vestigated. It analyzes which decision-making approach (centralized vs. decentralized) is more conducive to supply chain emission reduction and profitability, and explores the impacts of carbon allowances and carbon prices. The research findings show: First, the profits of the supply chain and its members are negatively correlated with the intensity of competition. When competition intensity is low, centralized decision-making is the dominant structure for improving supply chain profits. However, when competition becomes too intense, centralized decision-making fails to enhance profits, and decentralized decision-making becomes the dominant structure for profit improvement. Second, an increase in government-set carbon allowances raises both firm and supply chain profits but does not affect firms' production and emission reduction decisions. Third, there exists a moderate carbon price in the carbon trading market—both excessively high and low carbon prices fail to incentivize firms to minimize product carbon emissions.

Key words: carbon trading mechanism, supply chain competition, carbon emission, decision-making structure

CLC Number: