新旧版双积分政策下纯电动汽车供应链的研发与定价决策

赵丹; 薛婉婷; 李文武; 郑芳悦

doi:10.3969/j.issn.2095-1248.2025.01.009

沈阳航空航天大学学报 ›› 2025, Vol. 42 ›› Issue (1) : 82 -96. DOI: 10.3969/j.issn.2095-1248.2025.01.009

管理科学与工程

新旧版双积分政策下纯电动汽车供应链的研发与定价决策

赵丹 ^a^,^b ,
薛婉婷 ^a ,
李文武 ^a ,
郑芳悦 ^b

作者信息 +

R&D and pricing decision of battery electric vehicle supply chain under new and old dual-credit policy

Dan ZHAO ^a^,^b ,
Wanting XUE ^a ,
Wenwu LI ^a ,
Fangyue ZHENG ^b

Author information +

文章历史 +

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摘要

考虑消费者电池技术敏感度和积分交易价格因素，针对由动力电池供应商和纯电动汽车制造商组成的二级汽车供应链，将新版双积分政策单车积分计算方法中的续驶里程、能量密度和电耗调整系数等纳入到供应链收益模型，并通过仿真实验讨论了新版双积分政策的有效性，比较了新旧版双积分政策对企业决策的影响。研究结果表明，与旧版双积分政策相比，新版双积分政策可以有效地提高电池技术水平，有利于纯电动汽车制造利润增长，但并不完全有利于政府收益增长。政府通过引导消费者提升电池技术敏感度可以有效提升电池技术水平，而单独依赖积分交易价格效果不佳。新版双积分政策为纯电动汽车制造商提供了更多策略选择，例如不同续驶里程的汽车制造商可以采取不同的策略来达到最优化生产目的。

Abstract

Considering considers consumer battery technology sensitivity and credit trading price factors，aiming at a two-level vehicle supply chain composed of power battery suppliers and battery electric vehicle manufacturers，and the driving range，energy density and power consumption adjustment coefficient of the new dual-credit policy single vehicle credit calculation method were incorporated into the supply chain income model. The effectiveness of the new double integral policy was discussed throuth simulation experiments， and the influence of the new and old dual-credit policy on enterprise decision-making was compared.The research finds that：Compared with the old and the dual-credit policy，the new dual-credit policy can effectively improve the level of battery technology and is conducive to the profit growth of battery electric vehicle manufacturing，but it is not completely conducive to the growth of government revenue. The government can effectively improve the level of battery technology by guiding consumers to improve the sensitivity of battery technology，while relying solely on credit trading price is not effective. The new dual-credit policy provides more strategic options for battery electric vehicle manufacturers，such as vehicle manufacturers with different driving ranges can adopt diffe-rent strategies to achieve optimal production purposes.