本文考虑了碳排放限额与交易机制下,基于嵌入式低碳服务的一个低碳服务提供商与一个碳排放依赖型制造商的产量决策、碳净化水平选择和收益分配问题,设计了三种不同的契约来协调参与主体的最优决策.对所设计的契约分析发现,两部制费用契约下,制造商与低碳服务提供商能达成契约一致,但不能实现二者利润最大化目标;低碳净化收益契约下,制造商与低碳服务提供商不能达成契约一致;碳净化成本-收益共享契约下,在满足一定参数条件时,低碳服务提供商与制造商能够参与并实现二者利润最大化下的最优决策.同时分析了参与主体在不同情形下契约的选择,关键参数对低碳服务提供商与制造商的最优决策和利润的影响以及低碳服务提供商对项目的最低投资和绩效水平的确定,可以为企业决策提供参考.
This paper studies the coordination mechanism of production decision-making, cart)on pu- rification level selection and revenue distribution between a low-carbon-service provider and a carbon- emission-dependent manufacturer under the carbon emissions cap-and-trade market mechanism, where the relationship of the two participants is built on embedded low-carbon service. For analyzing the decision- making behaviors between the low-carbon-service provider and the manufacturer, we design three different contracts to coordinate the optimal decisions of the low-carbon-service provider and the manufacturer: two-part tariff contract, carbon purification revenue sharing contract and carbon purification cost-revenue sharing contract. By analyzing the designed contracts, we find that the two-part tariff contract can make both of them to agree with the service contract, but the total profits of the low-carbon-service provider and the manufacturer cannot achieve the goals of profit maximization; the two participants cannot reach to unanimous decision on the carbon purification revenue sharing contract; whereas in case of the carbon purification cost-revenue sharing contract, when the parameters satisfy certain conditions, both of the low- carbon-service provider and the manufacturer could participate the low-carbon purification activities and achieve the optimal decisions to maximize their total profits. Meanwhile, we analyzed the contracts chosen by the participants in different scenarios, the impact of the key parameters on the optimal decisions and profits of the participants, and the minimum investment and performance level of tile service project for the low-carbon-service provider. The results can provide some management insight for enterprise decision.