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基于复相关-灰色关联分析的高校科技创新能力指标体系的构建
引用本文:程鹤.基于复相关-灰色关联分析的高校科技创新能力指标体系的构建[J].科技管理研究,2016(6):117-123.
作者姓名:程鹤
作者单位:1. 大连理工大学管理与经济学部,辽宁大连,116024;2. 大连理工大学公共管理与法学学院,辽宁大连,116024
摘    要:构建的指标体系是否具有合理性直接影响着后续评价结果的准确性。立足于高校科技创新过程与区域创新系统分析角度,通过指标定性与定量筛选方法相结合,构建高校科技创新能力评指标体系。运用复相关系数分析剔除易被其他指标替代的指标,避免指标间信息重叠;通过灰色关联分析剔除对评价目标不重要的指标,保留对评价结果影响显著的指标。计算灰色关联分析中的分辨系数值,提高灰色关联度的准确度。以我国31个省级行政区为样本,最终构建包含27个指标的基于区域视角的高校科技创新能力评价指标体系。最终筛选出的指标集保留了90.7%的原始指标集信息。

关 键 词:高校  科技创新能力  指标体系  筛选方法
收稿时间:2015/3/29 0:00:00
修稿时间:2016/3/3 0:00:00

Establishment of index system for universities scientific and technology innovation ability based on multiple correlation-grey relational analysis
Abstract:The validity of index system directly affects the accuracy of the evaluation results. Based on the process of scientific innovation and regional innovation system, this paper establishes an original index system for scientific and technology innovation ability of university with qualitatively and quantitively screening methods. The conclusions lie on the following aspects. First, the multiple correlation method is used to delete the indicator which reflects repetitive information with other indicators. The gray correlation method is used to delete the indicator which is easily replaced by others, and it guarantees that the screened indicators have significant effect on results. Second, the distinguishing coefficient was calculated which improves the accuracy of gray correlation method. Third, the index system for the university scientific and technology innovation ability is established with 31 provinces, which contains 27 indicators. Fourth, the example shows that eventual inex system contains 90.7% information content of original index system.
Keywords:universities  scientific and technology innovation ability  index system  screening methods
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