摘要
为了研究碳减排补贴和碳排放权交易决策对政府及冷链配送企业低碳发展的作用,建立了政府-企业成本优化双层模型。结合碳减排补贴和碳排放权交易两种政策,分别建立了以总成本最低为目标的政府成本模型和企业成本模型,利用遗传算法保留最佳选择来进行迭代计算,求解了考虑新能源补贴额和碳配额的上层及下层模型的成本。通过仿真分析比较了政府同时实行碳减排补贴和碳排放权交易两种政策及单独实行碳减排补贴政策或碳排放权交易政策的效果,结果表明,当政府同时实行碳减排补贴和碳排放权交易两种政策时,政府总成本和企业总成本最小,可达成降本减排的目标。该研究分别从政府和企业两个角度出发为冷链物流企业低碳配送问题提供了政策建议和企业建议,具有较强的操作性和实际意义。
In order to study the effect of decision-making of carbon emission reduction subsidy and carbon emission trading on the low-carbon development of government and cold chain distribution enterprises,two-layer model of government-enterprise cost optimization was established.The government cost model and the enterprise cost model aiming at the lowest total cost were established by combining the two policies of carbon emission reduction subsidy and carbon emission right tradings.The genetic algorithm was used to retain the best choice for iterative calculation,and the cost of up and down layer model was obtained by considing the new energy subsidy and carbon quota.Through the simulation analysis,the paper compared the government's implementation of both carbon emission reduction subsidy and carbon emission trading policies,and the implementation of carbon emission reduction subsidy or carbon emission trading policies respectively.It is concluded that the government cost and the enterprise cost are the smallest when the government implements the two policies of carbon emission reduction subsidy and carbon emission trading simultaneously.This study provides policy suggestions and enterprise suggestions for low-carbon distribution of cold chain logistics enterprises,which has strong operability and practical significance.
作者
张克勇
石珂玮
ZHANG Keyong;SHI Kewei(School of Economics and Management,North University of China,Taiyuan 030051,China)
出处
《中北大学学报（自然科学版）》
CAS
2023年第3期193-199,215,共8页
Journal of North University of China(Natural Science Edition)
基金
山西省社科联重点课题(SSKLZDKT2020086)
山西省哲学社会科学规划课题(2020YY145)。
关键词
冷链物流
低碳
双层决策模型
遗传算法
cold chain logistics
low carbon
two-layer decision-making model
genetic algorithm
