碳限额与碳交易下考虑时间偏好差异的供应链联合减排动态博弈

    Dynamic Game of Supply Chain Joint Emission Reduction Considering Time Preference Difference under Carbon Quota and Carbon Trading

    • 摘要: 在碳限额与碳交易机制下,为探讨整个供应链联合动态减排问题,引入时间偏好效用函数并构建供应商、制造商、零售商三方微分博弈模型。利用逆向归纳法得出非协同分散决策与协同集中决策下的碳减排轨迹、供应链的整体价值。同时对决策时间偏好一致与决策时间偏好不一致的三方价值等进行数值仿真。结果表明,协同集中决策下碳减排量大于非协同分散决策下的碳减排量,协同集中决策更有利于实现碳减排的帕累托最优;在两种决策中,具有时间偏好一致的决策者所获得的价值往往更高;反之,决策者获得的价值会较少,且时间偏好不一致程度加剧了这一现象。

       

      Abstract: Under the mechanism of carbon quota and carbon trading, in order to explore the joint dynamic emission reduction problem of the whole supply chain, the time preference utility function is introduced and a three-party differential game model of supplier, manufacturer and retailer is constructed. The trajectory of carbon emission reduction and the overall value of supply chain under non-collaborative decentralized decision-making and collaborative centralized decision-making are obtained by using the reverse induction method. At the same time, a numerical simulation is carried out on the tripartite value of consistent decision time preference and inconsistent decision time preference. The results show that the carbon emission reduction under collaborative centralized decision-making is greater than that under non-collaborative decentralized decision-making, and collaborative centralized decision-making is more conducive to achieving Pareto optimization of carbon emission reduction; in the two kinds of decision-making, the decision-maker with the same time preference often gets higher value; on the contrary, the decision-maker will get less value, and the inconsistent degree of time preference aggravates this phenomenon.

       

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