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考虑产学研协同的高校创新效率测度及提升路径--地区差异的视角
引用本文:刘东霞.考虑产学研协同的高校创新效率测度及提升路径--地区差异的视角[J].科技管理研究,2022(19).
作者姓名:刘东霞
作者单位:山西财经大学管理科学与工程学院
基金项目:教育部规划基金项目“学术资源配置公平、效率与影响因素研究:学者、大学与区域的多层嵌入”(19YJAZH052);“创新文化视阈下的资源型企业创新绩效提升研究——以组 织惯性为中介”(19YJA630007)。
摘    要:高校作为国家创新体系的重要组成部分,如何提升其创新效率是我国建设创新型国家过程中不可回避的问题。采用三阶段超效率EBM-Windows模型对我国2007-2018年29个省(市、自治区)高校的知识创新与知识转化效率进行实证研究,研究发现:高校的知识创新效率均值为0.675,知识转化效率均值为0.543,均未实现DEA有效;东部地区高校知识转化效率显著高于中西部及东北地区;社会经济环境、政府支持、资源禀赋与市场化水平等环境因素对东部地区高校知识创新与转化阶段投入冗余程度的影响显著高于中西部及东北地区。综合分析各地区高校知识创新与转化效率值及年均增长率,设计了四种高校创新效率提升路径。最后,提出了改善高校知识创新与转化效率的对策建议。

关 键 词:高校  创新效率测度  知识创新与转化  地区差异  EBM-Windows
收稿时间:2022/3/21 0:00:00
修稿时间:2022/5/5 0:00:00

Measurement of Innovation Efficiency of Universities Considering Industry-University-Research Collaboration and Its Promotion Path-From the perspective of regional differences
Abstract:As an important part of the national innovation system, how to improve the innovation efficiency of colleges and universities is an unavoidable problem in the process of building an innovative country in China. Using the third-order super-efficiency EBM-Windows model, this paper makes an empirical study on the knowledge innovation and knowledge transformation efficiency of universities in 29 provinces (municipalities and autonomous regions) in China from 2007 to 2018. It is found that the average knowledge innovation efficiency of universities is 0.675, and the average knowledge transformation efficiency is 0.543, which has not achieved DEA efficiency. The efficiency of knowledge transformation in colleges and universities in the eastern region is significantly higher than that in the central and western regions. Environmental factors such as socio-economic environment, government support, resource endowment and marketization level have a significantly higher impact on the redundancy of input in the stage of knowledge innovation and transformation of universities in the eastern region than in the central and western regions and the northeast region. This paper comprehensively analyzes the efficiency value and average annual growth rate of knowledge innovation and transformation in colleges and universities in various regions, and designs four paths to improve the innovation efficiency of colleges and universities. Finally, some countermeasures and suggestions are put forward to improve the efficiency of knowledge innovation and transformation in colleges and universities.
Keywords:Colleges and universities  Measurement of innovation efficiency  Knowledge innovation and transformation  Regional differences  EBM-Windows
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