›› 2017, Vol. 39 ›› Issue (3): 309-315.doi: 10.16507/j.issn.1006-6055.2017.04.001

• 科技评价与评估 • 上一篇    

基于Theil-TOPSIS的我国区域创新网络评价分析

贾颖颖 郭鹏 吴雨佳   

  1. 西北工业大学管理学院,西安710072
  • 收稿日期:2017-02-08 修回日期:2017-04-10 出版日期:2017-06-25 发布日期:2017-06-23
  • 基金资助:

    国家自然科学基金(71672145),中央高校基金(16SZYB37),陕西省社会科学基金(2015R025),西安市科技计划(2016040SF/RK03(5))资助

Evaluation and Analysis of Regional Innovation Network in China Based on Theil Weighted TOPSIS

JIA Yingying GUO Peng WU Yujia   

  1.  School of Management, Northwestern Polytechnical University, Xi’an 710072, China
  • Received:2017-02-08 Revised:2017-04-10 Online:2017-06-25 Published:2017-06-23

摘要:

构建区域创新网络结构特征评价指标体系和Theil-TOPSIS评价模型,对我国大陆30个省市自治区(西藏除外)的区域创新网络结构特征进行评价分析。研究结果表明,我国区域创新网络结构特征存在显著的地区差距,其中北京、上海和广东依次位列前3名,而宁夏、内蒙古和贵州分别为最后3名。根据评价结果,运用聚类分析方法将我国大陆30个省市自治区划分为四种类型,并分别提供了针对这四种类型区域的发展方向建议。在此基础上,从扩大网络规模、发挥网络集中度带动作用、完善中介服务体系、加强区域外部合作和促进产学研合作方面提出了提升区域创新网络发展水平、缩小区域之间差异的政策建议。

关键词: 区域创新网络, 结构维度, 关系维度, Theil指数, TOPSIS, 聚类分析

Abstract:

An evaluation index regarding regional innovation network structure feature and Theil weighted TOPSIS evaluation model are proposed to analyze the regional innovation network structure feature of 30 provinces, municipalities and autonomous regions (exclude Tibet) in China. The evaluation results demonstrate that there are significant diversities between regions. Beijing, Shanghai and Guangdong are the top three regions. Ningxia, Inner Mongolia and Guizhou are the last three ones. According to the evaluation results, the regional innovation network development level of 30 regions are classified into four types by using cluster analysis. The regional development policy corresponding to the four types are provided. On this basis, policy recommendations including expanding network size, developing the driving role of network concentration, improving intermediary service system, enhancing regional external cooperation and promoting university-industry cooperation are put forward to enhance the regional innovation network development and narrow the gap among regions.

Key words: regional innovation network, structure dimension, relationship dimension, Theil index, TOPSIS, cluster analysis

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