Can non-subsidised policies for new energy vehicles improve the quality of enterprise innovation? evidence from China

被引:1
|
作者
Qin, Shufeng [1 ]
Xiong, Yongqing [2 ]
Wang, Xi [3 ]
机构
[1] Hunan Agr Univ, Sch Business, Changsha, Peoples R China
[2] Cent South Univ, Sch Business, Changsha, Peoples R China
[3] Henan Univ, Sch Business, Kaifeng, Peoples R China
基金
中国国家自然科学基金;
关键词
New energy vehicles; non-subsidised policy; enterprise innovation; innovation quality; policy mechanism;
D O I
10.1080/19761597.2024.2381744
中图分类号
F [经济];
学科分类号
02 ;
摘要
Through an investigation of listed new energy vehicle (NEV) enterprises in China from 2012 to 2021, we examined the impact of three NEV non-subsidised policies on enterprise innovation quality from both production and market ends, using the PVAR model. Our study yielded several key findings. First, non-subsidised policies have an overall positive effect, with the production-market-end policy represented by the dual-credit performing the best, followed by the single production-end policy (access catalog), and the market-end policy (government procurement) having the lowest impact. This difference is more pronounced in the two-stage sample (subsidy era, 2012-2016; post-subsidy era, 2017-2021). Second, the analysis of policy mechanisms shows that non-subsidised policies have an R&D investment effect and a product scale effect, but each emphasises specific policy-innovation paths. Third, the market competition pressure has a positive moderating effect on the impact of the dual-credit and access catalog policies, while the moderating effect on government procurement is not significant. Moreover, the external regional innovation atmosphere also has a heterogeneous impact on the incentive effect of non-subsidised policies. These results have important implications for adjusting NEV industry policy in the post-subsidy era and for the discussion of the relationship between non-subsidised policies and technological innovation.
引用
收藏
页数:33
相关论文
共 50 条
  • [21] Can new urbanization pilot policies promote green technology innovation in cities: Empirical evidence from China
    Cheng, Jing
    Chen, Jiarui
    PLOS ONE, 2024, 19 (05):
  • [22] Can Enterprise Digital Transformation Improve Resource Allocation Efficiency? Evidence From China
    Duan, Zheng
    Zhang, Yifan
    MANAGERIAL AND DECISION ECONOMICS, 2025,
  • [23] Does the government's environmental attention improve enterprise green innovation?-Evidence from China
    Chen, Jing
    Li, Qinyang
    Wang, Xiangjun
    FRONTIERS IN ENVIRONMENTAL SCIENCE, 2022, 10
  • [24] Does government behaviour or enterprise investment improve regional innovation performance? - evidence from China
    Zheng, Ye
    Han, Wei
    Yang, Ruoyu
    INTERNATIONAL JOURNAL OF TECHNOLOGY MANAGEMENT, 2021, 85 (2-4) : 274 - 296
  • [25] Do smart city policies improve energy efficiency?Evidence from China
    Zhilong Qin
    Haoming Yang
    Lei Shi
    Ouyang Ying
    Wenhan Liu
    Chinese Journal of Population,Resources and Environment, 2024, (02) : 185 - 193
  • [26] Do smart city policies improve energy efficiency? Evidence from China
    Qin, Zhilong
    Yang, Haoming
    Shi, Lei
    Ying, Ouyang
    Liu, Wenhan
    CHINESE JOURNAL OF POPULATION RESOURCES AND ENVIRONMENT, 2024, 22 (02) : 185 - 193
  • [27] Can Green Financial Reform Policies Promote Enterprise Development? Empirical Evidence from China
    Yu, Hongjian
    Zhao, Yao
    Qiao, Guitao
    Ahmad, Mahmood
    SUSTAINABILITY, 2023, 15 (03)
  • [28] The relationship between technical innovation and market value: Evidence from the China's new energy vehicles industry
    Wang, Xuanwen
    Zhu, Lei
    Zheng, Haitao
    ENERGY POLICY, 2025, 202
  • [29] Energy Security, Intelligence and Innovation Quality: Evidence From China's New Energy Demonstration City Policy
    Liu, Minghui
    Yang, Sasa
    Yao, Xin
    EXPERT SYSTEMS, 2025, 42 (02)
  • [30] Can venture capital trigger innovation? New evidence from China
    Ni, He
    Luan, Tianhong
    Cao, Yu
    Finlay, Donald C.
    INTERNATIONAL JOURNAL OF TECHNOLOGY MANAGEMENT, 2014, 65 (1-4) : 189 - 214