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高技术产业创新影响因素研究

Research on Influencing Factors of Innovation in High Technology Industry
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摘要 以柯布-道格拉斯生产函数为基础,将高技术产业作为研究对象构建创新生产函数模型。运用岭回归分析R&D经费内部支出、R&D人员折合全时当量、政府财政科技拨款对高技术产业创新的影响作用。研究结果表明,R&D经费内部支出、R&D人员折合全时当量、政府财政科技拨款3个指标均对中国高技术产业的有效发明专利数和主营业务收入具有显著的正向作用。 Based on CD production function,this paper constructs an innovative production function model with high technology industry as the research object.Using ridge regression analysis to analyze the impact of R&D internal expenditure,R&D personnel equivalent to full-time equivalent,government financial science and technology allocation on high-tech industry innovation.The research results show that the internal expenditure of R&D funds,the conversion of R&D personnel to full-time equivalent and the allocation of government financial science and technology all have significant positive effects on the number of effective invention patents and the main business income of high-tech industries in China.
作者 刘文隆 苗金芳 LIU Wen-long;MIAO Jin-fang(College of Economic and Managernent,Qinhai Nationalities University,Xining 810000,China)
出处 《科技和产业》 2021年第2期146-150,共5页 Science Technology and Industry
基金 青海科技厅软科学项目(2020-ZJ-607)。
关键词 高技术产业创新 柯布-道格拉斯生产函数 岭回归 high-tech industrial innovation CD production function ridge regression
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