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高技术产业创新影响因素研究
引用本文:刘文隆,苗金芳. 高技术产业创新影响因素研究[J]. 科技和产业, 2021, 21(2): 146-150. DOI: 10.3969/j.issn.1671-1807.2021.02.025
作者姓名:刘文隆  苗金芳
作者单位:青海民族大学经济与管理学院,西宁810000;青海民族大学经济与管理学院,西宁810000
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.

关 键 词:高技术产业创新  柯布-道格拉斯生产函数  岭回归

Research on Influencing Factors of Innovation in High Technology Industry
LIU Wen-long,MIAO Jin-fang. Research on Influencing Factors of Innovation in High Technology Industry[J]. SCIENCE TECHNOLOGY AND INDUSTRIAL, 2021, 21(2): 146-150. DOI: 10.3969/j.issn.1671-1807.2021.02.025
Authors:LIU Wen-long  MIAO Jin-fang
Abstract: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.
Keywords:high-tech industrial innovation  CD production function  ridge regression
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