EV diffusion promotion analysis under different charging market structure

IF 13.3 1区 管理学 Q1 BUSINESS Technological Forecasting and Social Change Pub Date : 2024-09-08 DOI:10.1016/j.techfore.2024.123730
Song Wang , Lefeng Shi
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Abstract

A suitable market structure is critical for promoting the healthy, stable, and sustainable development of the electric vehicle market. This paper studies which market structures can best contribute to the development of electric vehicles at various stages. The main findings show that competition is the optimal market structure at each stage if the charging infrastructure layout aims to maximize the number of electric vehicles. Moreover, when the charging infrastructure layout follows profit maximization in the early stages, monopoly is discovered as the optimal charging market structure, but competitive structures would be optimal after the market penetration of electric vehicles reaches some degree. Given these findings, we propose a public-private partnership (PPP) scheme to increase the social acceptance of electric vehicles. Next, apply these models in China and find that an optimal market structure could additionally drive about 30 % of electric vehicle penetration. Despite the PPP scheme's risk of delaying electric vehicle diffusion by 4 years and extending exclusive management rights by 3 years, it only reduces electric vehicle final adoption by 6.56 %. The findings can provide strong theoretical support and policy guidance for authorities in charging market planning and governance to accelerate electric vehicle diffusion and the industry's sustainable development.

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不同充电市场结构下的电动汽车推广分析
合适的市场结构对于促进电动汽车市场的健康、稳定和可持续发展至关重要。本文研究了在不同阶段哪些市场结构最有利于电动汽车的发展。主要研究结果表明,如果充电基础设施布局以电动汽车数量最大化为目标,则竞争是各阶段最优的市场结构。此外,当充电基础设施布局在早期阶段遵循利润最大化时,垄断被认为是最优的充电市场结构,但当电动汽车的市场渗透率达到一定程度后,竞争结构将成为最优结构。鉴于这些发现,我们提出了公私合作(PPP)方案,以提高电动汽车的社会接受度。接下来,我们将这些模型应用于中国,发现最佳的市场结构可以额外推动约 30% 的电动汽车普及率。尽管公私合营计划的风险是将电动汽车的普及推迟 4 年,并将独家经营权延长 3 年,但它仅将电动汽车的最终采用率降低了 6.56%。研究结果可为有关部门在充电市场规划和治理方面提供有力的理论支持和政策指导,以加快电动汽车的普及和行业的可持续发展。
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来源期刊
CiteScore
21.30
自引率
10.80%
发文量
813
期刊介绍: Technological Forecasting and Social Change is a prominent platform for individuals engaged in the methodology and application of technological forecasting and future studies as planning tools, exploring the interconnectedness of social, environmental, and technological factors. In addition to serving as a key forum for these discussions, we offer numerous benefits for authors, including complimentary PDFs, a generous copyright policy, exclusive discounts on Elsevier publications, and more.
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