混合碳政策下供应链减排决策优化

发布时间：2018-02-27 20:07

本文关键词： 碳政策低碳供应链碳减排碳交易碳税　出处：《系统管理学报》2017年05期 　论文类型：期刊论文

【摘要】：建立了碳交易-碳税(环境税)并行政策下的两阶段供应链减排决策模型,研究了混合碳政策对供应链定价、产能、利润、减排率及最优的有偿配额比例、竞价底价、混合策略等的影响,并引入"优先采购协议"和"碳排放约束-收益共享契约"对供应链实施协调,得到既能降低供应链碳排放水平,又能增进供应链社会福利的Nash均衡减排模式。研究结果表明:(1)高强度的碳政策并不一定能有效激励企业减排,提高消费者对低碳产品认可度和碳市场活跃度才能推动供应链"良性"减排;(2)我国当前最优的有偿配额比例为3.4%,"有偿配额-减排补贴"的配套机制不仅能激发碳市场活跃度,而且其竞价成本效应和转移支付效应可对高污染落后产能发挥"逆淘汰"作用;(3)限价策略下的集中式决策能够实现减排效率的Pareto改进。最后,采用数值算例验证了模型的有效性。
[Abstract]:A two-stage supply chain emission reduction decision model based on carbon trade- carbon tax (environmental tax) policy is established, and the pricing, production capacity, profit, emission reduction rate, optimal paid quota ratio and bidding floor price of the supply chain under mixed carbon policy are studied. The influence of the mixed strategy and so on, and the introduction of "preferential purchase Agreement" and "carbon Emission Constraint-profit sharing contract" to coordinate the supply chain, which can reduce the level of carbon emissions in the supply chain, The Nash equilibrium emission reduction model, which also enhances the social welfare of the supply chain, shows that a high-intensity carbon policy may not be an effective incentive for firms to reduce emissions. Only by increasing consumers' recognition of low-carbon products and carbon market activity can supply chain "benign" emission reduction be promoted.) China's current optimal paid quota ratio is 3.4%. The supporting mechanism of "paid quota-emission reduction subsidy" can not only stimulate the carbon market activity. Moreover, its bidding cost effect and transfer payment effect can play a "reverse elimination" role to the highly polluting and backward production capacity. (3) the centralized decision under the price limit strategy can realize the Pareto improvement of emission reduction efficiency. Numerical examples are used to verify the validity of the model.
【作者单位】：北京交通大学经济管理学院;北京物资学院现代物流产业研究院;
【基金】：国家自然科学基金面上项目(71473013,71772016) 教育部人文社科研究青年基金资助项目(17YJC630203) 北京物资学院校级重大项目(2017XJZD05);北京物资学院科技协同攻关团队建设项目(2017GG06)
【分类号】：F274

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