基于主成分分析-随机前沿分析模型的江苏高校协同创新中心建设效率分析
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摘要
随着我国高等学校创新能力提升计划启动并实施,国家和各地区分别认定一批高校协同创新中心,有关建设各方不断增加投入,协同创新中心的建设效率亦日益引起社会各界的广泛关注。利用主成分分析和随机前沿分析的组合模型(PCA-SFA),对江苏省批准建设的59个协同创新中心的建设效率进行研究,并根据分析结果提出进一步促进高校协同创新中心高质量内涵式发展的建议和思考,为相关主管部门对于如何更有效地引导资源要素配置方式、建立更科学合理的考核评估体系和竞争退出机制提供参考。
With the launch and implementation of the "Innovation Ability Enhancement Plan for Colleges and Universities" in China(referred to as "2011 Plan"),a number of university collaborative innovation centers have been identified by the state and various regions,the relevant construction parties have continuously increased their investment,and the construction efficiency of university collaborative innovation center has become the social focus.Based on the combined model of principal component analysis and stochastic frontier analysis(PCA-SFA),this paper studies the construction efficiency of 59 university collaborative innovation centers in Jiangsu Province,and puts forward suggestions and thinking of further promoting the high quality inner-level development of the collaborative innovation center according to the analysis results,in order to provide a reference for the relevant competent departments on how to guide the allocation of resource elements more effectively,establish a more scientific and reasonable assessment and evaluation system,and establish a competitive exit mechanism.
With the launch and implementation of the "Innovation Ability Enhancement Plan for Colleges and Universities" in China(referred to as "2011 Plan"),a number of university collaborative innovation centers have been identified by the state and various regions,the relevant construction parties have continuously increased their investment,and the construction efficiency of university collaborative innovation center has become the social focus.Based on the combined model of principal component analysis and stochastic frontier analysis(PCA-SFA),this paper studies the construction efficiency of 59 university collaborative innovation centers in Jiangsu Province,and puts forward suggestions and thinking of further promoting the high quality inner-level development of the collaborative innovation center according to the analysis results,in order to provide a reference for the relevant competent departments on how to guide the allocation of resource elements more effectively,establish a more scientific and reasonable assessment and evaluation system,and establish a competitive exit mechanism.
引文
[1]陈劲,阳银娟.协同创新的理论基础与内涵[J].科学学研究,2012(2):161-164.
[2]中华人民共和国教育部科学技术司.“高等学校创新能力提升计划”实施方案[EB/OL].(2012-06-02)[2018-08-01].http://www.dost.moe.edu.cn/dostplan/.
[3]危怀安,疏腊林,聂卓.我国“2011协同创新中心”的组建分析[J].科技管理研究,2014(18):70-73.
[4]王萧箫,朱桂龙,许治.协同创新中心组建特征及结构分析[J].科技进步与对策,2018(1):1-8.
[5]张兆臣,张海珠,于娱,等.高校协同创新中心建设的影响因素与对策研究[J].江苏高教,2016(1):52-54.
[6]赵德武.协同创新中心绩效评价体系的构建[J].中国高校科技,2014(1):14-16.
[7]王洁方.协同创新中心绩效评估体系研究[J].中国高校科技,2014(4):59-61.
[8]刘芳,王炳富,王国雄.协同创新中心绩效评价研究:案例分析与逻辑框架[J].研究与发展管理,2014(12):129-134.
[9]马媛.基于层次分析法的协同创新中心绩效评价体系研究:以天津市工程中心为例[J].河北工业大学学报(社会科学版),2015(4):55-59.
[10]罗党,王洁方.基于二维矩阵的河南省高校协同创新中心绩效评价[J].华北水利水电大学学报(社会科学版),2016(6):1-4.
[11]林健,陈希.基于平衡计分卡的协同创新中心绩效评价研究[J].国家教育行政学院学报,2016(1):15-23.
[12]李爱彬,经曼,夏洪旺.基于云模型的行业产业类协同创新中心绩效评价[J].中国科技论坛,2016(11):48-54.
[13]闫青.协同创新中心模糊综合绩效评价研究[J].中国高校科技,2017(9):48-53.
[14]王洪礼,贾岳.基于SFA和DEA的高校综合投资学科的科研效率评价[J].天津大学学报(社会科学版),2015(4):306-309.
[15]汪传雷,熊月霞,潘珊珊.协同创新研究综述[J].科技管理研究,2013(18):27-34.
[16]曹炳汝,樊颜青.基于DEA与主成分分析的绿色农产品供应链绩效评价研究[J].科技管理研究,2017(6):72-77.
[17]MEEUSEN W,BROECKJ V D.Efficiency estimation from Cobb-Douglas production functions with composed error[J].International Economic Review,1977,18(2):435-444.
[18]AIGNER D,LOVELL C,SCHMIDT P.Formulation and estimation of stochastic frontier production function models[J].Journal of Econometrics,1977,6(1):21-37.
[19]BATTESE G E,CORRA G S.Estimation of a production frontier model:with application to the pastoral zone of eastern Australia[J].Australia Journal of Agricultural Economics,1977,21(3):169-179.
[20]FARRELL M J.The measurement of productive efficiency[J].Journal of the Royal Statistical Society,1957,120:253-290.
[21]CHARNES A W,COOPER W W,RHODES E L.Measuring the efficiency of decision making units[J].European Journal of Operational Research,1978,2(4):429-444.
[22]KUNBHAKAR S,LOVELL C.Stochastic frontier analysis[M].New York:Cambridge University Press,2000.
[23]BATTESE G E,COELLI T J.Frontier production functions,technical efficiency and panel data:with application to paddy farmers in India[J].Journal of Productivity Analysis,1992,3(1/2):153-169.
[2]中华人民共和国教育部科学技术司.“高等学校创新能力提升计划”实施方案[EB/OL].(2012-06-02)[2018-08-01].http://www.dost.moe.edu.cn/dostplan/.
[3]危怀安,疏腊林,聂卓.我国“2011协同创新中心”的组建分析[J].科技管理研究,2014(18):70-73.
[4]王萧箫,朱桂龙,许治.协同创新中心组建特征及结构分析[J].科技进步与对策,2018(1):1-8.
[5]张兆臣,张海珠,于娱,等.高校协同创新中心建设的影响因素与对策研究[J].江苏高教,2016(1):52-54.
[6]赵德武.协同创新中心绩效评价体系的构建[J].中国高校科技,2014(1):14-16.
[7]王洁方.协同创新中心绩效评估体系研究[J].中国高校科技,2014(4):59-61.
[8]刘芳,王炳富,王国雄.协同创新中心绩效评价研究:案例分析与逻辑框架[J].研究与发展管理,2014(12):129-134.
[9]马媛.基于层次分析法的协同创新中心绩效评价体系研究:以天津市工程中心为例[J].河北工业大学学报(社会科学版),2015(4):55-59.
[10]罗党,王洁方.基于二维矩阵的河南省高校协同创新中心绩效评价[J].华北水利水电大学学报(社会科学版),2016(6):1-4.
[11]林健,陈希.基于平衡计分卡的协同创新中心绩效评价研究[J].国家教育行政学院学报,2016(1):15-23.
[12]李爱彬,经曼,夏洪旺.基于云模型的行业产业类协同创新中心绩效评价[J].中国科技论坛,2016(11):48-54.
[13]闫青.协同创新中心模糊综合绩效评价研究[J].中国高校科技,2017(9):48-53.
[14]王洪礼,贾岳.基于SFA和DEA的高校综合投资学科的科研效率评价[J].天津大学学报(社会科学版),2015(4):306-309.
[15]汪传雷,熊月霞,潘珊珊.协同创新研究综述[J].科技管理研究,2013(18):27-34.
[16]曹炳汝,樊颜青.基于DEA与主成分分析的绿色农产品供应链绩效评价研究[J].科技管理研究,2017(6):72-77.
[17]MEEUSEN W,BROECKJ V D.Efficiency estimation from Cobb-Douglas production functions with composed error[J].International Economic Review,1977,18(2):435-444.
[18]AIGNER D,LOVELL C,SCHMIDT P.Formulation and estimation of stochastic frontier production function models[J].Journal of Econometrics,1977,6(1):21-37.
[19]BATTESE G E,CORRA G S.Estimation of a production frontier model:with application to the pastoral zone of eastern Australia[J].Australia Journal of Agricultural Economics,1977,21(3):169-179.
[20]FARRELL M J.The measurement of productive efficiency[J].Journal of the Royal Statistical Society,1957,120:253-290.
[21]CHARNES A W,COOPER W W,RHODES E L.Measuring the efficiency of decision making units[J].European Journal of Operational Research,1978,2(4):429-444.
[22]KUNBHAKAR S,LOVELL C.Stochastic frontier analysis[M].New York:Cambridge University Press,2000.
[23]BATTESE G E,COELLI T J.Frontier production functions,technical efficiency and panel data:with application to paddy farmers in India[J].Journal of Productivity Analysis,1992,3(1/2):153-169.
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