Measuring Efficiency of Regional Innovation System with DEA and PCA

被引：0
|
作者：
Didenko, Alexander [1 ]
Loseva, Olga [1 ]
Abdikeev, Niyaz [1 ]
机构：
[1] Financial Univ Govt Russian Federat, Moscow, Russia
来源：
2017 11TH IEEE INTERNATIONAL CONFERENCE ON APPLICATION OF INFORMATION AND COMMUNICATION TECHNOLOGIES (AICT 2017) | 2017年
关键词：
Data envelopment analysis; relative efficiency; principal component analysis;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
The comprehensive assessment of relative efficiency of science and innovation systems across geographic regions, based on data envelopment analysis. The model is applied to the analysis of the relative efficiency of science and innovation in the Russian federal districts. To improve the results and drastically reduce the dimensionality of the model, the principal component method is used.
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页数：4
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