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政府补贴与企业创新绩效之间的动态关系研究——基于面板向量自回归模型的估计 被引量:2

Study on the Dynamic Relationship between Government Subsidies and Corporate Innovation Performance:Estimation Based on Panel Vector Autoregressive Model
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摘要 采用面板向量自回归的方法,以创业板上市的136家公司为样本,对政府补贴与创新绩效之间的动态关系进行了研究。通过PVAR模型回归结果、脉冲响应分析以及方差分解发现:研发补贴对带动企业提高自身研发投入、取得更多创新成果有长期显著的积极影响,且在第2~3期影响才达到顶峰,非研发补贴对企业创新能力的提升效果不显著。此外,实证发现我国中小企业的创新成果转化能力还有待提高。基于以上研究结论,认为政府应当加大针对研发项目的补贴力度,同时积极促进产学研结合,以提高补贴效率和创新成果产出。 In this paper,we applied panel-vector autoregression method to study the dynamic relationship between government subsidies and innovation performance of136companies listed on the China Growth Enterprise Market.Through PVAR regression,impulse response analysis,and variance decomposition,it was found that R&D subsidies have a significant long-term positive impact on driving companies to increase their R&D investment and achieve more innovations,and that the impact reached its peak in the2nd to3rd phases;non-R&D subsidy has no significant effect on the improvement of the enterprisers innovation ability.In addition,the ability of China's SMEs to transform their innovation outputs into market competitiveness remains to be improved.Based on the above findings,this paper believes that the government should increase the subsidies for R&D projects and actively promote the combination of production,education and research to improve the efficiency of subsidies.
作者 牛霄鹏 谢富纪 贾友 NIU Xiaopeng;XIE Fuji;JIA You(Antai College of Economics&Management,Shanghai Jiao Tong University,Shanghai200030,China)
出处 《上海管理科学》 2018年第6期98-104,共7页 Shanghai Management Science
基金 国家社会科学基金重点项目(13AZD015) 教育部哲学社会科学研究重大课题攻关项目(15JZD017)
关键词 研发补贴 研发投入 创新绩效 面板向量自回归模型 R&D subsidy R&D investment innovation capability PVAR model
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