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作 者:李文鹣[1] 范慧敏 谢刚[1] Li Wenjian;Fan Huimin;Xie Gang(School of Management,Jiang Su University,Zhenjiang 212013,China)
出 处:《中国科技论坛》2023年第7期74-84,共11页Forum on Science and Technology in China
基 金:国家社会科学基金一般项目“数字经济背景下平台垄断的多元共治研究”(21BGL037)。
摘 要:利用2015—2019年国家颁布的52条财政政策和89条技术政策,用灰色关联分析法构建了财政与技术政策之间的协同测度体系,实证分析两类政策之间的协同程度,及其对新能源汽车企业创新绩效的影响。结果表明:5年间两类政策在制定时比较聚焦于关键目标,两类政策支持范围变动趋势一致;协同程度处于中等水平;财政政策与技术政策的协同可以显著促进新能源汽车企业的创新绩效,但是政策不确定性会抑制这种促进作用。因此,为了促进新能源汽车产业发展与“双碳”目标的实现,相关政府部门应加强财政政策与技术政策之间的协同机制建设,使两类政策在人才建设、电池、充电基础设施建设等关键环节方面形成合力,同时在制定政策时应考虑留有缓冲空间和过渡时间,并合理引导企业良性预期,减小政策不确定性的消极影响。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.
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