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基于典型相关分析的知识产出效率研究 被引量:2

Study on the Knowledge Output Efficiency Based on Canonical Correlation Method
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摘要 基于典型相关分析,在最大相关系数条件下取得线性综合变量的指标权重,对具有多投入、多产出行为特征的创新资源投入产出问题进行弹性分析,并把CCA/DEA分析方法运用于区域知识产出绩效的评估中,测量了基于时间序列的区域投入产出综合效率,实现对评估对象的充分评价与排序。 Based on canonical correlation method, under the conditions of the maximum correlation coefficient, we ob- tained a linear composite variable index weight, and carried out elastic analysis on the problem of innovative resource input - output with multi - input - output behavioral characteristics. Then we use CCA/DEA analysis to regional knowledge pro- duction performance assessment, measure out regional input - output overall efficiency based on time series, and achieve the full evaluation and ranking of the assessment objects.
作者 曹泽
出处 《科技管理研究》 CSSCI 北大核心 2013年第7期151-154,共4页 Science and Technology Management Research
基金 教育部人文社科规划项目"区域创新投入结构及其经济绩效评价研究"(11YJA630003) 安徽省教育厅人文社科重点项目"区域技术创新绩效测度理论与方法研究"(2010sk263zd)
关键词 典型相关分析 知识产出 效率 弹性 canonical correlation method knowledge output efficiency elasticity
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参考文献9

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