【摘要】 在中美贸易摩擦的压力和后疫情时代"双循环发展"的新格局下,科创企业研发投入有效性问题备受关注。本文基于科创板上市公司2017～2019年面板数据,建立了固定效应面板门槛模型,实证检验了研发强度与企业绩效在不同研发强度和产出规模下的非线性关系,并揭示了研发回报率和研发产出弹性在不同研发强度下的非线性变化规律。研究表明:(1)研发强度与企业绩效呈"倒V形"关系,最优研发强度为2.42%～4.11%;(2)只有当产出规模达到一定水平,研发投入才能促进企业绩效;(3)使研发回报率和研发产出弹性最大的最优研发强度分别为2.42%～4.42%(或2.42%～4.11%)和2.42%～4.59%。研究结果可直接辅助科创企业界定研发投入的最优区间,理性权衡短期风险与长期收益,并最终达成最优的研发强度。更多还原

【Abstract】 Under the pressure of trade friction between China and the U.S.,and in the post-epidemic era,sci-tech innovation enterprises shoulder the heavy responsibility of R&D and innovation,and should pay more attention to the effectiveness of R&D input.Based on the panel data from 2017 to 2019 of the STAR market listed companies,this paper constructs fixed-effect panel threshold model,empirically tests the nonlinear relationship between R&D intensity and enterprise performance in different R&D intensity and enterprise scale,and reveals the nonlinear change rule of R&D return rate and R&D-output elasticity.The results show that:(1)there is an inverted V-shaped nonlinear relationship between R&D intensity and enterprise performance,and the optimal R&D intensity is 2.42%～4.11%;(2)only when output scale reaches a certain level can R&D input promote enterprise performance;(3)under low R&D intensity,R&D return rate is the highest,and the optimal R&D intensity is 2.42%～4.42% or 2.42%～4.11%;(4)under low R&D intensity,R&D-output elasticity is the highest,and the optimal R&D intensity is 2.42%～4.59%.The results of this paper can directly assist sci-tech innovation enterprises to define the optimal range of R&D investment,rationally balance short-term risks and long-term benefits,and finally reach the optimal R&D intensity.更多还原