管理评论 ›› 2022, Vol. 34 ›› Issue (11): 75-87.

• 技术与创新管理 • 上一篇    下一篇

政策过渡如何影响研发生产决策——以新能源汽车产业的创新生态为例

韩菁1, 蔡寻2, 鲜路1   

  1. 1. 陕西师范大学国际商学院, 西安 710199;
    2. 四川大学商学院, 成都 610065
  • 收稿日期:2020-07-06 出版日期:2022-11-28 发布日期:2022-12-30
  • 通讯作者: 蔡寻(通讯作者),四川大学商学院博士研究生。
  • 作者简介:韩菁,陕西师范大学国际商学院教授,硕士生导师,博士;鲜路,陕西师范大学国际商学院博士研究生。
  • 基金资助:
    国家自然科学基金面上项目(72074139);教育部人文社会科学基金资助项目(18XJA840002);陕西省软科学研究项目(2021KRM083)。

How does Policy Transition Affect R&D and Production Decisions——Exemplified by the Innovation

Han Jing1, Cai Xun2, Xian Lu1   

  1. 1. International Business School, Shaanxi Normal University, Xi'an 710199;
    2. Business School, Sichuan University, Chengdu 610065
  • Received:2020-07-06 Online:2022-11-28 Published:2022-12-30

摘要: 中国新能源汽车产业正处于补贴退坡、双积分政策推行的政策过渡期。针对不同政策推进阶段对新能源汽车创新生态中研发生产决策的影响,本文构建了政策过渡下新能源汽车创新生态中的研发生产决策模型及社会福利模型,通过逆向归纳推导出新能源汽车的最优研发投入及定价、零部件最优定价、政府最优补贴力度及积分得分率。基于此,通过数理推导及仿真模拟分析了不同政策阶段对新能源汽车最优研发生产决策的影响。研究表明:补贴力度与新能源汽车定价正相关,补贴对供应商研发投入的激励效用主要表现在技术研发与推广初期;补贴力度与社会福利非正相关,存在最优补贴力度使社会福利达到最大值;双积分政策能有效降低供应商研发行为对补贴的依赖,提高供应商的核心技术投入;处理好燃油汽车及新能源汽车CAFC积分得分率间的均衡关系,有助于实现社会福利最大化。

关键词: 新能源汽车产业, 政策过渡, 创新生态, 研发生产决策

Abstract: At present, China’s new energy vehicle industry is facing policy transition toward reducing subsidies and forming a dual-credit regime. Therefore, based on the background of policy transition, it is of practical significance to analyze the influences of different policy stages on the R&D and production decision-making in the NEV innovation ecosystem, so as to provide guidance for policy optimization and R&D production management of NEV enterprises. Therefore, this paper constructs a R&D production decision-making model and social welfare model in the new energy vehicle innovation ecosystem based on the policy transition, then the optimal R&D investment, the optimal pricing of new energy vehicles and parts, the optimal government subsidies and point score rate setting are deduced by backward induction method. Finally, mathematical derivation and numerical simulation methods are used to analyze the impact of different policy stages on the optimal R&D and production decisions of new energy vehicles. The results indicate that: the pricing of NEV is positively correlated with the subsidy intensity; the incentive effect of subsidies on the R&D investment of suppliers is conditional, which is mainly reflected in the early stage of technology R&D and promotion; the subsidy intensity is not positively correlated with the social welfare, and there is the optimal subsidy intensity to maximize the social welfare; The implementation of the dual-credit policy can effectively reduce the dependence of the supplier’s R&D on government subsidies and improve the supplier’s core technology investment at the same time; balancing the relationships between score rate of CAFC of fuel vehicles and the score rate of CAFC of NEVs can help maximize the social welfare.

Key words: new energy vehicle industry, policy transition, innovation ecosystem, R&D production decision