江苏省科技期刊可视化阅读平台

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江苏科技信息 ›› 2016, Vol. 33 ›› Issue (5): 53-54.doi: 10.3969/j.issn.1004-7530.2016.05.002

• 论文 • 上一篇    下一篇

基于DEA/PCA模型的江苏省交通运输业科技创新绩效研究

耿娜娜, 张永, 张瑞   

  1. 东南大学交通学院,江苏南京,210096
  • 出版日期:2016-02-15 发布日期:2016-02-15
  • 基金资助:
    江苏省科技计划项目%项目名称“十三五”科技创新支撑和引领江苏交通运输业发展的路径与对策研究%项目编号BR2015038。

Performance Study of Science and Technology Innovation in Transportation Industry of Jiangsu Province Based on DEA and PCA

Geng Nana, Zhang Yong, Zhang Rui   

  • Online:2016-02-15 Published:2016-02-15

摘要： 交通运输领域科技创新实力日益增强，国家、企业和科研机构投入大量人力、物力、财力提高交通运输业科技创新能力。为明确交通运输业的科技成果是否与科技投入成正比，文章对江苏省交通运输业科技创新能力进行绩效评估。首先，在国内外专家对绩效评估理论研究的基础上，结合江苏省交通运输业现状，构建基于投入产出角度的江苏省交通运输业科技创新绩效评价体系框架。然后，采用数据包络和主成分分析的方法对评价指标体系进行求解，计算得出江苏省历年交通运输业科技创新能力水平，最后，对结果进行了分析，为今后提升江苏省交通运输业科技创新能力提供借鉴意义。

关键词: 交通运输业, 科技创新

Abstract: With the increasing development of science and technology innovation strength in the field of transportation, countries, enterprises and scientific research institutions take great effort including human, material and financial resources to improve the ability of science and technology innovation in transportation industry. In order to determine whether the scientific and technological achievements of the transportation industry are in direct proportion to the science and technology investment, this paper evaluates the performance of science and technology innovation ability of Jiangsu transportation industry. First of all, constructing the science and technology innovation performance evaluation system of Jiangsu transportation industry from the angle of input and output combined with the current situation of transportation industry in Jiangsu Province. Then solving evaluation index system by the method of data envelopment analysis and principal component analysis and calculate the level of science and technology innovation capacity of the transportation industry in Jiangsu Province over the past six years. Finally, the results are analyzed to provide reference to enhance the ability of science and technology innovation in Jiangsu province.