Operations Research and Management Science ›› 2020, Vol. 29 ›› Issue (2): 150-156.DOI: 10.12005/orms.2020.0046

• Application Research • Previous Articles     Next Articles

Analysis and Time Lag Measurement of the Influencing Factors on Universities R&D Based on Grey Incidence Model

LIU Yong1, DU Jun-liang1, ZHAO Huan-huan2   

  1. 1. School of Business, Jiangnan University, Wuxi 214122, China;
    2. College of management Wuxi Institute of Technology, Wuxi 214121 China
  • Received:2018-06-16 Online:2020-02-25

基于灰色关联模型的高校R&D影响因素分析与时滞测度

刘勇1, 杜俊良1, 赵焕焕2   

  1. 1. 江南大学 商学院,江苏 无锡 214122;
    2. 无锡职业技术学院 管理学院,江苏 无锡 214121摘 要:高校科技和经济发展“两张皮”的问题普遍比较突出,如何提取影响高校R&D绩效的关键因素,测度其时滞长度,对于生成用于指导或辅助决策的“深层知识”、促进高校科技成果转化具有重要的意义。根据2005~2015年的高校统计年鉴的相关数据,针对高校R&D投入产出的滞后性和发展趋势不一致性,利用正切函数构建了一种时滞灰色关联分析模型,并以江苏高校为例利用所构建的模型研究其不同发展阶段R&D活动绩效的影响因素和时滞长度。结果表明,各阶段影响因素均对江苏高校R&D绩效具有较强的影响和作用,并随着滞后年份的延长呈现降低的趋势;高校R&D机构当年投入人数和高校R&D机构当年支出经费是知识产出阶段R&D绩效的重要影响因素,而R&D全时人才、基础研究经费、应用研究经费是制约其绩效提升的关键因素;R&D成果应用及科技服务全时人员和经费分别是成果转化阶段R&D绩效的重要影响因素和瓶颈制约因素。关键词:知识产出;成果转化;影响因素;灰色关联分析;时滞中图分类号:G250 文章标识码:A 文章编号:1007-3221202002-0150
  • 作者简介:刘勇(1985-), 男, 河南平舆人, 博士, 副教授, 硕导, 研究方向:技术创新管理, 软计算;杜俊良(1994-), 男, 山东青岛人, 硕士研究生, 研究方向:决策分析, 技术创新管理;赵焕焕(1988-), 女, 河南上蔡人, 博士, 讲师, 研究方向:技术创新管理, 软计算。
  • 基金资助:
    国家社科后期资助一般项目(19FGLB031);国家自然科学基金项目(71503103);教育部人文社科基金项目(17YJC640223);江苏省自然科学基金项目(BK20150157);江苏省软科学(BR2018005);江苏省高校哲学社会科学研究重点项目(2017ZDIXM034);江苏省高校自然科学基金面上项目(18KJB120010);江苏省社会科学基金项目(19TQD006);中央高校基本科研业务费专项基金(2019JDZD06)

Abstract: The “two skin” problem between universities' technology and economic development is generally more prominent, so that how to extract the important factors on R&D performance of universities and measure their time lag has a great significance for generating the “deep knowledge” to guide or assist the decision and promote the transformation of science and technological achievements. According to the Compilation of Science and Technology Statistics of Higher Education" from 2005 to 2015, with respect to the hysteresis and inconsistent development trend of R&D input and output, a novel grey incidence analysis model with time lag is established by using the tangent function, and then it is utilized to analyze the influencing factors and measure their time lags in universities from Jiangsu province. The results show that the influencing factors in each stage have strong influence and effect on the R&D performance, and the trend is decreasing with the extension of the lagging year; the number of year investment talents and the current year expenditure for the university R&D institutions are the important influencing factors of R&D performance in the stage of knowledge output, the R&D full-time talents, and basic research funds and applied research funds are the key factors restricting its performance improvement; while the full time staff and funds of achievement application and technology service are the important influencing factors and bottleneck factors of R&D performance in the process of achievement transformation, respectively.

Key words: knowledge output, achievement transformation, influencing factors, grey incidence analysis, time lag

摘要: 高校科技和经济发展“两张皮”的问题普遍比较突出,如何提取影响高校R&D绩效的关键因素,测度其时滞长度,对于生成用于指导或辅助决策的“深层知识”、促进高校科技成果转化具有重要的意义。根据2005~2015年的高校统计年鉴的相关数据,针对高校R&D投入产出的滞后性和发展趋势不一致性,利用正切函数构建了一种时滞灰色关联分析模型,并以江苏高校为例利用所构建的模型研究其不同发展阶段R&D活动绩效的影响因素和时滞长度。结果表明,各阶段影响因素均对江苏高校R&D绩效具有较强的影响和作用,并随着滞后年份的延长呈现降低的趋势;高校R&D机构当年投入人数和高校R&D机构当年支出经费是知识产出阶段R&D绩效的重要影响因素,而R&D全时人才、基础研究经费、应用研究经费是制约其绩效提升的关键因素;R&D成果应用及科技服务全时人员和经费分别是成果转化阶段R&D绩效的重要影响因素和瓶颈制约因素。

关键词: 知识产出, 成果转化, 影响因素, 灰色关联分析, 时滞

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