Abstract:Using 52 fiscal policies and 89 technology policies promulgated by the state from 2015 to 2019,a grey correlation analysis was used to construct a synergy measurement system between fiscal and technology policies,and to empirically analyze the degree of synergy between the two types of policies and their impact on the innovation performance of new energy vehicle enterprises.The results show that the two types of policies are more focused on key objectives during the five-year period,and the scope of support for the two types of policies tends to change in the same way;the degree of synergy is at a medium level;the synergy between fiscal and technology policies can significantly promote the innovation performance of new energy vehicle enterprises,but policy uncertainty will inhibit this promotion effect.Therefore,in order to promote the development of the new energy vehicle industry and achieve the“dual carbon”goal,relevant government departments should strengthen the synergy mechanism between fiscal and technology policies,so that the two types of policies can form a synergy in key aspects such as talent building,battery and charging infrastructure construction,and at the same time consider leaving a buffer space and transition time when formulating policies.At the same time,consideration should be given to leaving a buffer space and transition time when formulating policies,and reasonably guiding enterprises'benign expectations to reduce the negative impact of policy uncertainty.
李文鹣, 范慧敏, 谢刚. 新能源汽车产业政策协同及其政策不确定下对企业创新绩效的影响[J]. 中国科技论坛, 2023(7): 74-84.
Li Wenjian, Fan Huimin, Xie Gang. New Energy Vehicle Industry Policy Synergy and Its Impact on Firm Innovation Performance Under Policy Uncertainty. , 2023(7): 74-84.
[1]马少超,范英.能源系统低碳转型中的挑战与机遇:车网融合消纳可再生能源[J].管理世界,2022,38(5):209-223. [2]ZHANG G,ZUO F,TONG T,et al.An optimization design of battery temperature management system on new energy vehicles[J].Energy reports,2022(8):1518-1529. [3]庞德良,卜睿,刘兆国.我国新能源汽车产业制度安排演进与优化建议[J].经济纵横,2022(4):106-115. [4]梁正,李代天.科技创新政策与中国产业发展40年:基于演化创新系统分析框架的若干典型产业研究[J].科学学与科学技术管理,2018,39(9):21-35. [5]李凤梅,柳卸林,高雨辰,等.产业政策对我国光伏企业创新与经济绩效的影响[J].科学学与科学技术管理,2017,38(11):47-60. [6]郭净,孟晓倩,徐玲.产业政策及政策协同对企业创新绩效的效应比较[J].郑州大学学报(哲学社会科学版),2019,52(2):39-45. [7]阳镇,陈劲,凌鸿程.相信协同的力量:央-地产业政策协同性与企业创新[J].经济评论,2021(2):3-22. [8]余晓,祝鑫梅,宋明顺.标准与科技的“乘数效应”是否体现——政策协同的视角[J].中国软科学,2021(5):1-11. [9]HILDINGSSON R,JOHANSSON B.Governing low-carbon energy transitions in sustainable ways:potential synergies and conflicts between climate and environmental policy objectives[J].Energy policy,2016(88):245-252. [10]魏玮,曹景林.产业升级视角下绿色信贷与环保财政政策协同效应研究[J].科技进步与对策,2019,36(12):21-27. [11]赵丹丹.货币政策与宏观审慎政策的协调机制研究[J].新金融,2018(1):18-21. [12]DINGES M,BIEGELBAUER P,WILHELMER D.The tower of Babylon in the governance of research,technology and innovation:participatory foresight as a method of policy coordination[J].Futures,2018(100):34-44. [13]王洛忠,张艺君.我国新能源汽车产业政策协同问题研究:基于结构、过程与内容的三维框架[J].中国行政管理,2017(3):101-107. [14]乐为,何源.新能源汽车产业政策协同与市场渗透研究[J].管理学刊,2019,32(5):20-29. [15]张蕾,秦全德,谢丽娇.中国新能源汽车产业的政策协同研究——评估与演化[J].北京理工大学学报(社会科学版),2020,22(3):26-35. [16]何源,乐为,郭本海.“政策领域-时间维度”双重视角下新能源汽车产业政策央地协同研究[J].中国管理科学,2021,29(5):117-128. [17]ZHANG X,BAI X.Incentive policies from 2006 to 2016 and new energy vehicle adoption in 2010-2020 in China[J].Renewable and sustainable energy reviews,2017(70):24-43. [18]LI M,LIU Y.Study on theair pollution control policy coordination status in chengdu-chongqing urban agglomeration,China[J].IOP conference series:earth and environmental science,2021,837(1):012003. [19]LI J,YE S.Regional policy synergy and haze governance-empirical evidence from 281 prefecture-level cities in China[J].Environmental science and pollution research international,2021,28(9):10763-10779. [20]郭本海,李军强,张笑腾.政策协同对政策效力的影响:基于227项中国光伏产业政策的实证研究[J].科学学研究,2018,36(5):790-799. [21]李响,殷林森.财税金融政策如何驱动科技创新发展:基于上海1979—2020年政策文本的内容分析[J].中国科技论坛,2022(2):32-40. [22]封颖,高芳,徐峰,等.科技政策与产业政策协同关系的再认识[J].中国科技论坛,2020(8):52-59,66. [23]顾夏铭,陈勇民,潘士远.经济政策不确定性与创新:基于我国上市公司的实证分析[J].经济研究,2018,53(2):109-123. [24]张倩肖,冯雷.宏观经济政策不确定性与企业技术创新:基于我国上市公司的经验证据[J].当代经济科学,2018,40(4):48-57,126. [25]胥朝阳,赵晓阳,徐广.风险还是机遇:经济政策不确定性对制造业突破式创新的影响[J].科技进步与对策,2020,37(8):68-76. [26]陈瑜,李广建.科技政策效果评价及其发展趋势[J].图书与情报,2021(6):96-106. [27]熊勇清,徐文.新能源汽车产业培育:“选择性”抑或“功能性”政策[J].科研管理,2021,42(6):58-64. [28]WANG X,HUANG L,DAIM T,et al.Evaluation of China's new energy vehicle policy texts with quantitative and qualitative analysis[J].Technology in society,2021,67:101770. [29]RUIZ ESTRADA M A.Policy modeling:definition,classification and evaluation[J].Journal of policy modeling,2011,33(4):523-536. [30]张永安,周怡园.新能源汽车补贴政策工具挖掘及量化评价[J].中国人口·资源与环境,2017,27(10):188-197. [31]YANG T,XING C,LI X.Evaluation and analysis of new-energy vehicle industry policies in the context of technical innovation in China[J].Journal ofcleaner production,2021,281:125126. [32]熊勇清,王溪.新能源汽车技术创新激励的政策选择:“扶持性”抑或“门槛性”政策[J].中国人口·资源与环境,2020,30(11):98-108. [33]杜丹丽,原琳,高琨.2010—2017年京津冀中小企业科技创新政策评价[J].中国科技论坛,2019(10):100-109. [34]熊友平.湖州市乡村旅游发展的资源因子及其提升路径研究:基于灰色关联度分析的视角[J].东北农业科学,2018,43(6):53-57. [35]HUANG Y,LUK P.Measuring economic policy uncertainty in China[J].China economic review,2020,59:101367.