文献类型：期刊文献

英文题名：Optimal innovation strategies of automakers with market competition under the dual-credit policy

作者：Yu, Hui[1];Li, Ying[1];Wang, Wei[2]

机构：[1]East China Univ Sci & Technol, Sch Business, Shanghai 200237, Peoples R China;[2]Hohai Univ, Business Sch, Nanjing 211100, Peoples R China

年份：2023

卷号：283

外文期刊名：ENERGY

收录：;EI(收录号：20233014443572);WOS:【SCI-EXPANDED(收录号:WOS:001054716700001)】；

基金：Acknowledgments We appreciate the editors and anonymous reviewers for their con-structive comments. This study is supported by National Natural Sci-ence Foundation of China

语种：英文

外文关键词：Dual-credit policy; Hotelling model; Evolutionary game model; Agent-based simulation; Automakers; Innovation strategy

摘要：Implementing the dual-credit policy has brought about a milestone shift in China's automotive market, which plays a significant role in automakers' innovation. This study constructs an evolutionary game model based on the Hotelling theory to explore the impact of the dual-credit policy on the innovation strategies of conventional automakers (CAs) and new energy automakers (NAs). Further, a multi-agent simulation model is used to analyze the intrinsic mechanism of the endogenous and exogenous elements of the policy on innovation-decision behaviors. The results show that the dual-credit policy can effectively promote CAs' technology innovation and electrification, but the incentive effect shows a high degree of heterogeneity across the different scales of NAs. Notably, the competitive market environment significantly affects the incentive effect of the dual-credit policy on NAs' technology innovation. The revision of the dual-credit policy will mainly affect the innovation dynamics of NAs: the effect of the new energy vehicle (NEV) accounting multiplier is positive, whereas the effect of proportion requirements for NEVs production and standard model credit is negative. The findings further show the threshold effect of the credit transaction price on automakers' innovation incentives, with the price threshold being higher for NAs than for CAs.