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基于偏好DEA模型的江苏省技术创新效率评价
引用本文:李曈,刘周成,张研,孙运涛.基于偏好DEA模型的江苏省技术创新效率评价[J].河南科学,2014(6):1096-1101.
作者姓名:李曈  刘周成  张研  孙运涛
作者单位:[1]南京航空航天大学图书馆,南京210016 [2]南京航空航天大学科技部,南京210016
基金项目:江苏省社会科学基金项目(13GLD020);中央高校基本科研业务费项目(NR2014024,NR2014057,NR2014059)
摘    要:提高区域技术创新效率是区域自主创新能力建设的重要内容,也是提升区域竞争力的关键因素.在传统DEA模型的基础上,提出具有权重偏好结构的DEA模型,对2011年江苏省13个地市的技术创新效率进行评价研究.结果表明,偏好DEA模型对决策单元的评价区分度明显好于传统DEA模型.江苏省苏中地区的技术效率平均值最高,苏南其次,苏北最低;江苏省技术创新在规模效率上有较大不足,部分地市技术创新投入的利用效率较低,有待进一步改进.

关 键 词:技术创新效率  数据包络分析  权重偏好  评价  江苏省

Evaluation of Regional Technical Innovation Efficiency of Jiangsu Province Based on Preference DEA Method
Li Tong,Liu Zhoucheng,Zhang Yan,Sun Yuntao.Evaluation of Regional Technical Innovation Efficiency of Jiangsu Province Based on Preference DEA Method[J].Henan Science,2014(6):1096-1101.
Authors:Li Tong  Liu Zhoucheng  Zhang Yan  Sun Yuntao
Institution:1. Library, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China: 2. Science and Technology Department, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China)
Abstract:Improving the efficiency of regional technological innovation is an important content of regional indepen-dent innovation ability construction,and it is also a key factor to enhance the competitiveness of regional. In this paper,an improving data envelopment analysis model which based on weight preference information has been used to compute the efficiency of technical innovation about 13 cities in Jiangsu Province. The results show that:①The preference DEA model for the evaluation of decision making units discrimination is obviously better than the traditional DEA model,the middle of Jiangsu have the highest average efficiency of technology innovation,then South of Jiangsu,and finally the North Jiangsu.②The relatively low technological innovation scale efficiency level of Jiangsu would make it be far from constant returns to scale state.③The input redundancy rate of each index is higher,which needs further improvement .
Keywords:the efficiency of technical innovation  data envelopment analysis(DEA)  weight preference infor-mation  evaluation  Jiangsu Province
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