电动汽车制造商在政府补贴下投资碳减排技术的决策:古诺博弈模型

IF 1.9 3区 工程技术 Q3 MANAGEMENT
Jing Liu, Hongping Yuan, J. Nie
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引用次数: 1

摘要

为了减少电动汽车(EV)市场的碳排放,中国政府出台了一项补贴计划,该计划涉及一个与固定补贴截然不同的补贴门槛。本研究旨在探讨补贴门槛下电动汽车厂商的碳减排技术投资决策。本文构建了一个涉及两家竞争电动汽车制造商的古诺博弈模型。结果表明,在不同的补贴门槛下,两家电动汽车制造商对CR技术投资的决策存在差异。特别是,当补贴门槛较低或较大时,他们会做出相同的投资决策,而当补贴门槛为中等时,他们会做出相反的投资决策。在只有一家电动汽车制造商的基准模型中,当补贴门槛较低时,电动汽车制造商始终可以通过投资CR技术来增加其利润。然而,在古诺模型中,两家竞争厂商可能会陷入囚徒困境,两家厂商都可能因CR技术投资而遭受经济损失。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Electric vehicle manufacturers’ decisions on investing in carbon-reduction technology under government subsidy: a Cournot game model
To reduce carbon emissions in the electric vehicle (EV) market, the Chinese government has issued a subsidy scheme involving a subsidy threshold that is quite different from the fixed subsidy. This study aims to investigate competing EV manufacturers’ decisions on carbon-reduction (CR) technology investment under the subsidy threshold. We construct a Cournot game model involving two competitive EV manufacturers. The results show that decisions of the two EV manufacturers on investing in CR technology vary under different subsidy thresholds. Particularly, they would make the same investment decisions when the subsidy threshold is low or large, but achieve the opposite investment decisions when the subsidy threshold is intermediate. In the benchmark model where there is only one EV manufacturer, an EV manufacturer could always increase its profit from investing in CR technology when the subsidy threshold is low. In the Cournot model where there are two competing manufacturers, however, they may get involved in the Prisoner’s Dilemma and both manufacturers could suffer economic losses from CR technology investment.
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来源期刊
IMA Journal of Management Mathematics
IMA Journal of Management Mathematics OPERATIONS RESEARCH & MANAGEMENT SCIENCE-MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
CiteScore
4.70
自引率
17.60%
发文量
15
审稿时长
>12 weeks
期刊介绍: The mission of this quarterly journal is to publish mathematical research of the highest quality, impact and relevance that can be directly utilised or have demonstrable potential to be employed by managers in profit, not-for-profit, third party and governmental/public organisations to improve their practices. Thus the research must be quantitative and of the highest quality if it is to be published in the journal. Furthermore, the outcome of the research must be ultimately useful for managers. The journal also publishes novel meta-analyses of the literature, reviews of the "state-of-the art" in a manner that provides new insight, and genuine applications of mathematics to real-world problems in the form of case studies. The journal welcomes papers dealing with topics in Operational Research and Management Science, Operations Management, Decision Sciences, Transportation Science, Marketing Science, Analytics, and Financial and Risk Modelling.
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