福建省产学研协同创新效率评价及影响因素分析——基于DEA交叉效率-Tobit模型
The Evaluation and Influencing Factors Analysis of the Industry-University-Research Collaborative Innovation Efficiency in Fujian Province——Based on DEA Cross-efficiency and TOBIT Model
李晓青 1吉晓玲 1张亚洲2
作者信息
- 1. 厦门理工学院 经济与管理学院,福建 厦门 361024
- 2. 苏州银行,江苏 苏州 215100
- 折叠
摘要
利用DEA交叉效率模型测度福建省地级市产学研协同创新效率,以了解福建省各地级市产学研协同创新质量发展差异及存在的问题,并利用Tobit模型深入分析福建省产学研协同创新效率的影响因素,最后提出相应对策与建议.研究发现:2015-2022 年福建省 9 个地级市产学研协同创新效率整体水平不高,呈现"东高西低"空间分布特点,发展不均衡,且不均衡程度有逐渐加重的趋势;经济发展水平对福建省产学研协同创新效率存在显著负向影响,对外开放程度和地方财政科技支出强度存在显著正向影响,而高校(院所)转移知识的能力和企业-高校(院所)合作强度没有产生显著影响.进而提出建议:因地制宜,提升产学研创新资源配置效率;加强合作,强化创新中心城市的创新辐射带动作用;多方引力,提高对外开放水平.
Abstract
The DEA cross-efficiency model is used to measure the industry-university-research collaborative innovation efficiency of prefecture-level cities in Fujian Province,so as to understand the development differences and existing problems in the quality of industry-university-research collaborative innovation of prefecture-level cities in Fujian province,and the Tobit model is used to deeply analyze the influencing factors of the collaborative innovation efficiency of Fujian Province,and finally put forward corresponding countermeasures and suggestions.The results show that:from 2014 to 2021,the overall level of industry-university-research collaborative innovation efficiency in 9 prefecture-level cities in Fujian Province is not high,showing the spatial distribution characteristics of"high in the east and low in the west",and the development is unbalanced,and the degree of imbalance is gradually expanding.The level of economic development has a significant negative impact on the efficiency of industry-university-research collaborative innovation in Fujian Province,and the degree of opening to the outside world and the intensity of local financial expenditure on science and technology have a significant positive impact,while the ability of universities and research institutes to transfer knowledge and the intensity of cooperation between enterprises and universities(institutes)have no significant impact.The following suggestions are put forward:adapt to local conditions to improve the efficiency of innovation resource allocation;strengthen cooperation and strengthen the leading role of innovation radiation in innovation center cities;improve the level of opening up to win more support.
关键词
福建省/产学研协同创新/DEA交叉效率/Tobit模型Key words
Fujian Province/industry-university-research collaborative innovation/DEA cross efficiency/Tobit model引用本文复制引用
基金项目
福建省创新战略研究联合项目(2023R0138)
福建省社会科学基金(FJ2021B159)
厦门理工学院研究生科技创新项目(YKJCX2023033)
出版年
2024
NETL
NSTL
万方数据