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作 者:俞立平 黄梦亭[1] 毛征兵 YU Li-ping;HUANG Meng-ting;MAO Zheng-bing(School of Statistics and Mathematics,Zhejiang Gongshang University,Hangzhou 310018;Collaborative Innovation Center of Statistical Data Engineering,Technology&Application,Zhejiang Gongshang University,Hangzhou 310018;Management School,Guangzhou College of Commerce,Guangzhou 510700,China)
机构地区:[1]浙江工商大学统计与数学学院,浙江杭州310018 [2]浙江工商大学统计数据工程技术与应用协同创新中心,浙江杭州310018 [3]广州商学院管理学院,广东广州510700
出 处:《山西财经大学学报》2024年第8期16-31,共16页Journal of Shanxi University of Finance and Economics
基 金:国家社会科学基金后期资助项目(21FTQB016);浙江省自然科学基金重点项目(Z21G030004)。
摘 要:以高技术产业为例,分别采用面板数据模型、面板门槛模型和贝叶斯向量自回归模型研究自主研发、协同创新对短期与长期创新质量的影响规律及作用特征。结果表明:自主研发和协同创新对长期与短期创新质量均具有促进作用,且对长期创新质量的正向作用更大,另外自主研发对创新质量的影响要大于协同创新;自主研发和协同创新在影响创新质量方面的协调水平亟待提升;自主研发和协同创新的绩效均有待提高;当协同创新投入水平较高时,自主研发对创新质量的正向作用最大;自主研发在协同创新影响创新质量中的调节作用存在“最优区间”。Taking the high-tech industry as an example,this study separately employed the panel data model,the panel threshold model,and the Bayesian vector autoregression model to investigate the effects and features of independent research and development(R&D)and collaborative innovation on short-term and long-term innovation quality.The results demonstrated that:both independent R&D and collaborative innovation had a promoting effect on long-term and short-term innovation quality,with a more pronounced positive impact on long-term innovation quality.Additionally,independent R&D had a greater influence on innovation quality compared to collaborative innovation.There was an urgent need to elevate the coordination level between independent R&D and collaborative innovation regarding innovation quality.Both independent R&D and collaborative innovation had potential for performance enhancement.Notably,the positive impact of independent R&D on innovation quality was maximized when the investment in collaborative innovation was at a high level.There was an“optimal interval”for the moderating function of independent R&D in the scenario where collaborative innovation affected innovation quality.
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