Effects of Carbon Quota Allocation Strategies on Competition between Green and Non-green Product Manufacturers
In the context of carbon trading policy,considering the uncertainty of market demand and the price game between green and non-green product manufacturers,different carbon quota alloca-tion methods were introduced to study their impact on emission reduction and pricing decisions of the two manufacturers.Through the construction and comparative analysis of the game model of green and non-green product manufacturers under different carbon quota allocation methods,the following con-clusions are drawn:(1)Under the historical method and the baseline method,the larger the market size,the lower the emission reduction difficulty,the higher the carbon emission reduction per unit product,and the increase in market size has a greater promoting effect on the demand for green products than that of non-green products.(2)The carbon emission reduction per unit product under the historical baseline mixed method is between the historical method and the baseline method,and increases with the increase of the proportion of the baseline method.Under the mechanism of reward and punishment,the carbon emission reduction per unit product increases first and then decreases with the increase of the reward and punishment coefficient,and is always greater than the emission reduction under the historical method.(3)The market share of green products under the historical method is smaller than that under the baseline method,and the market share under the mixed historical baseline method is between the two.The reward and punishment mechanism can increase the demand for green products while reducing the demand for non-green products,so that they can obtain more market share than the baseline method.This paper is helpful to provide reference for the government's carbon quota allocation strategy and provide basis for supply chain members'decision-making.
Historical lawReference line methodHistorical reference line mixing methodManufacturer competition
万方数据
维普
