主管:中国科学院
主办:中国优选法统筹法与经济数学研究会
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碳限额与交易机制下竞争供应链减排策略与政策设计

李进,江赫奇,伍蓓   

  1. 浙江工商大学
  • 收稿日期:2022-09-29 修回日期:2024-01-15 发布日期:2024-05-13
  • 通讯作者: 李进
  • 基金资助:
    具有竞争特征的新型多代理调度问题研究;辽宁省制造业企业共享制造高质量发展研究;共享制造环境下带有共享资源配置决策的生产与运输协调调度研究

Emission Reduction Strategy and Policy Design for Competitive Supply Chains under Carbon Cap and Trade Mechanism

  • Received:2022-09-29 Revised:2024-01-15 Published:2024-05-13

摘要: 随着环境问题的日益严重,我国启动“碳达峰、碳中和”目标,积极采取行动控制碳排放。在此背景下,本文主要研究在碳限额与交易机制规制下,考虑供应链竞争的最优减排策略及决策结构选择问题,分析哪种决策方式(集中决策和分散决策)更有利于供应链减排和盈利,并探讨碳配额和碳价格的影响。研究结果表明:第一,供应链及其成员利润与竞争强度呈负相关,当竞争强度较低时,集中决策是实现供应链利润改进的占优决策结构,但竞争过于激烈时,集中决策不能改进供应链利润,此时分散决策是实现供应链利润改进的占优决策结构。第二,政府增加碳配额会提高企业和供应链利润,但无法影响企业的生产和减排决策;第三,碳交易市场能够存在一个适中的碳价格,过高或过低的碳价格都无法激励企业尽可能减少产品碳排放。

关键词: 碳限额与交易机制, 供应链竞争, 碳排放, 决策结构

Abstract: With the increasing severity of environmental problems, China has proposed to achieve carbon peak by 2030 and carbon neutrality by 2060, for which it has formulated a carbon cap-and-trade mechanism and officially launched the construction of a unified national carbon trading market in 2021. In this context, the control of carbon emissions by firms has been normalized, and exploring the impact of carbon cap-and-trade mechanism on supply chain competition decision-making is a realistic problem faced by firms nowadays. Therefore, based on the cap-and-trade mechanism, this paper considers the important factor of inter-chain competition in supply chains, and explores the optimal decision-making, structural choices, and policy design of supply chains to reduce emissions. This paper focuses on the decision-making problem of inter-chain competition in low-carbon supply chains under the carbon cap-and-trade mechanism. First, we construct a low-carbon chain-to-chain competition model. Under the cap-and-trade mechanism and the existence of supply chain competition, two low-carbon supply chains produce and sell heterogeneous and substitutable products, and compete in the same market, with each supply chain consisting of a manufacturer and a retailer. Vertically, the manufacturer is the dominant player in the Stackelberg game; horizontally, there is a Cournot game between the supply chains based on the supplied quantity. Under centralized decision making, each manufacturer and its retailer make joint decisions to maximize supply chain profit. Under decentralized decision-making, each manufacturer and its retailer make decisions independently, each considering its own profit maximization. The two decision-making structures of the supply chain are modeled and solved. We compare the advantages and disadvantages of the different decision-making approaches and the impact of inter-chain competition on the decision-making and profitability of the supply chain and its members. At the same time, theoretical and numerical analyses are carried out on the findings of the study, so as to understand more intuitively the changes of supply chain members’ decision-making and profits under inter-chain competition, and to further explore the choice of decision-making structures in the supply chain. Through the above research, the following conclusions are mainly drawn: First, the profits of supply chain and its members are negatively correlated with the intensity of competition. When the competition intensity is low, centralized decision-making is the dominant decision structure to achieve supply chain profit improvement, but when the competition is too intense, centralized decision-making can not improve the supply chain profit, and at this time, decentralized decision-making is the dominant decision structure. Second, the government’s increase in carbon quotas will improve the profits of each party and the supply chain, but it cannot influence the production and emission reduction decisions of the firms. Third, there can be a moderate carbon price in the carbon trading market, and a carbon price that is too high or too low will not be able to incentivize firms to minimize the carbon emissions of their products.

Key words: carbon cap and trade mechanism, supply chain competition, carbon emission, decision-making structure