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创新主体投入与创新绩效的长短期关系研究——基于协整理论和误差修正模型的实证分析 被引量:5

Research on Long-term and Short-term Relationship between Investment and Innovation Performance of Innovative Subjects: Empirical Analysis Based on Co-integration Theory and Error Correction Model
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摘要 基于2010-2016年我国30个省份的面板数据,并分为东部、中部、西部,运用协整检验、误差修正模型,对我国三类创新主体(企业、高校和科研机构)投入和创新绩效之间的关系进行实证分析。研究结果表明,我国研发经费投入、人力资本投入与创新绩效之间具有长期均衡关系,而且高等院校人员投入对创新绩效影响较大,企业研发经费投入发挥的创新效果较好。从短期来看,引进研发人员对高校、企业和科研机构的创新产出影响较大,但东中西部不同区域创新主体参与创新活动的绩效差异性明显。 With panel data of 30 provinces from 2010 to 2016,this paper makes an empirical analysis on the relationship between investment and innovation performance of innovation subjects( enterprises,universities and scientific research institutions) in China by using co-integration test and error correction model. The results show that: there is a long-term equilibrium between R&D expenditure,human capital investment and innovation performance in China. Moreover,R&D personnel input in universities have a great impact on innovation performance,the innovation effect of R&D expenditure in enterprises is good. In the short run,introduction of R&D personnel into universities,enterprises and scientific research institutions has a great impact on innovation output. However,there are obvious differences in the innovation performance of innovation subjects in the east,the middle and the west.
作者 西桂权 付宏 王冠宇 XI Gui-quan;FU Hong;WANG Guan-yu(Beijing Science and Technology Information Institute,Beijing 100048,China)
出处 《科技与经济》 2019年第3期21-25,共5页 Science & Technology and Economy
基金 北京市社会科学基金项目——“北京市科技服务业发展的经济关联性及影响因素研究”(项目编号:18YJC026 项目负责人:西桂权)成果之一
关键词 创新主体 面板数据 协整检验 固定/随机效应模型 误差修正模型 innovation subject panel data co-integration test fixed/random effect model error correction model
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