Study on low-carbon supply chain optimization strategies under endogenous carbon price

X. Gan, Yanhua Zhang, Lijun Ma, Y. Jiao, Ye Yu
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Abstract

This paper studies low-carbon supply chain optimization strategies when carbon price is endogenous. The demand is modeled as a function of retail price and carbon purification level. By analyzing optimization strategies of two models building on Stackelberg game, we show that too strict or loose carbon quota policy is not conducive to the maximum benefit for government and enterprises, and it has significant influences on the total social welfare of government and the expected benefits of direct emission reduction enterprise, but has no remarkable effects on non-direct emission reduction enterprise. Moreover, we also find that the carbon purification level, wholesale price and retail price are negatively related to carbon cap and sensitivity coefficient.
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内生碳价下的低碳供应链优化策略研究
本文研究了碳价格内生时的低碳供应链优化策略。将需求建模为零售价格和碳净化水平的函数。通过分析基于Stackelberg博弈的两种模型的优化策略,我们发现过于严格或过于宽松的碳配额政策都不利于政府和企业的利益最大化,对政府的社会总福利和直接减排企业的预期效益有显著影响,而对非直接减排企业的影响不显著。此外,我们还发现碳净化水平、批发价格和零售价格与碳上限和敏感性系数呈负相关。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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