Analysis of power battery technology R&D strategies under the supply chain competitive environment in post-subsidy era

IF 13.3 1区 管理学 Q1 BUSINESS Technological Forecasting and Social Change Pub Date : 2025-06-01 Epub Date: 2025-03-04 DOI:10.1016/j.techfore.2025.124080
Jinglve Wang, Zhang Liwen, Longfei Song, Chunying Liang, Libiao Bai
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Abstract

This study comparatively investigates the impact of supply chain competition on the R&D of power battery technology for new energy vehicles. From both horizontal and vertical perspectives, the supply chain competition relationships are classified into four types. By establishing a game-theoretic model, we comparatively analyze the mechanisms and impacts of supply chain competition on the innovation of power battery technologies. The research findings are as follows: (1) The optimal setting of the R&D target level for battery suppliers is the result of the combined effects of cost-effectiveness of technical R&D activities, demand effects, and the demand fluctuations brought about by competition. (2) The impact of different competitive relationships on the R&D decisions of battery suppliers varies. The R&D target level of incumbent enterprises is consistently positively correlated with the intensity of competition. (3) The distribution of the highest R&D target levels under the four competitive relationships is related to the intensity of competition and the market profitability of battery technologies. The results of this study can provide decision-making recommendations for companies involved in power battery technology R&D and offer new perspectives for consumers in choosing suitable new energy vehicles.
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后补贴时代供应链竞争环境下动力电池技术研发策略分析
本研究对比研究了供应链竞争对新能源汽车动力电池技术研发的影响。从横向和纵向两方面来看,供应链竞争关系可分为四种类型。通过建立博弈论模型,比较分析了供应链竞争对动力电池技术创新的作用机制和影响。研究结果表明:(1)电池供应商研发目标水平的最优设置是技术研发活动的成本效益、需求效应和竞争带来的需求波动共同作用的结果。(2)不同竞争关系对电池供应商研发决策的影响是不同的。现有企业的研发目标水平与竞争强度始终呈正相关。(3)四种竞争关系下最高r&d目标水平的分布与竞争强度和电池技术的市场盈利能力有关。本研究结果可为从事动力电池技术研发的企业提供决策建议,并为消费者选择合适的新能源汽车提供新的视角。
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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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