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广西产学协同创新绩效影响因素实证分析

Empirical Analysis of the Influencing Factor of Industry-University Collaborative Innovation Performance in Guangxi
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摘要 近年来,产学合作逐渐被视为合作创新的主要表现形式之一。文章以2012—2020年广西各市本科院校与企业联合申请专利数据为研究对象,利用固定效应负二项回归模型进行建模,以此实证研究广西各市产学协同创新绩效影响因素。研究结果表明:当地政府财政支持力度、科技发展水平能正向显著提升广西各市产学协同创新绩效。对外开放水平对广西各市产学协同创新绩效具有负向显著影响,其中外商直接投资企业数量具有负向显著影响。此外,地区生产总值增长速度对其影响为负向但不显著。文章基于研究结论,为进一步提升广西各市产学协同创新绩效提出针对性意见。 In recent years,industry-university cooperation has gradually been regarded as one of the main form of cooperative innovation.The article takes the patent application data jointly filed by universities and enterprises in various cities of Guangxi from 2012 to 2020 as the research object,and the negative binomial regression model of fixed effects was used for modeling,so as to empirically study the influencing factor of the performance of industryuniversity collaborative innovation in various cities of Guangxi.The results of the research show that the local government's support and the level of science and technology development can significantly improve the production and innovation performance of various cities in Guangxi.Whereas the level of opening up to the outside world has a negative impact on the performance of industry-university collaborative innovation in all cities in Guangxi,among which the number of foreign direct investment enterprises have a negative significant impact.Besides,the growth rate of gross regional product has a negative impact on it but not significant.Based on the research conclusions,the article puts forward targeted suggestions to further improve the performance of industry-university collaborative innovation in Guangxi.
作者 程跃 韩春梅 Cheng Yue;Han Chunmei(School of Public Policy and Managemnet,Guangxi University,Guangxi,Nanning,530004)
出处 《科技智囊》 2023年第3期37-47,共11页 Think Tank of Science & Technology
基金 国家自然科学基金资助项目“企业网络动态能力与协同创新生态系统互动演化机制研究——以新兴技术产业为例”(项目编号:71762003) 国家自然科学基金资助项目“公共治理视阈下跨区域合作创新网络多主体协同发展机制研究”(项目编号:72164002)研究成果。
关键词 广西 产学协同创新 创新绩效 固定效应负二项回归模型 Guangxi Industry-university collaborative innovation Innovative performance Negative binomial regression model of fixed effects
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