首页 | 本学科首页   官方微博 | 高级检索  
     检索      

基于数据包络分析的中国城市创新能力评价
引用本文:杜娟,霍佳震.基于数据包络分析的中国城市创新能力评价[J].中国管理科学,2014,22(6):85-93.
作者姓名:杜娟  霍佳震
作者单位:同济大学经济与管理学院, 上海 200092
基金项目:国家自然科学基金青年基金资助项目(71101108)
摘    要:针对城市创新能力的应用背景,构建了重点城市创新能力的评价指标体系,其中包括人才培养和科技创新两个创新阶段,提出了综合考虑共享投入和分阶段产出的两阶段数据包络分析模型,对国内52座重点城市的总体和单阶段的创新能力进行了有效评价和区分。研究结果发现,长三角和珠三角区域的创新能力在全国范围内具有优势,而创新效率相对较低的城市主要分布于中部、西南和西北的部分地区。实证分析为这些城市进一步提高自身的科技创造和研发创新水平提供重要的参考价值和指导意义。

关 键 词:数据包络分析(DEA)  效率  两阶段  城市创新能力  
收稿时间:2012-12-28
修稿时间:2013-07-19

DEA-based Evaluation on City Innovation in China
DU Juan,HUO Jia-zhen.DEA-based Evaluation on City Innovation in China[J].Chinese Journal of Management Science,2014,22(6):85-93.
Authors:DU Juan  HUO Jia-zhen
Institution:School of Economics and Management, Tongji University, Shanghai 200092, China
Abstract:According to the background of application to city innovation performance, a set of indices are established for evaluating innovation performance of key cities in China. The innovation process is divided into two individual stages——talent training and sci-tech creation. Two-stage data envelopment analysis (DEA) models are proposed to assess and differentiate the overall and individual-stage innovation performance for 52 Chinese key cities. It is demonstrated that the Yangtze River Delta region and Pearl River Delta region have done an excellent job in city innovation, while quite a number of cities in central, southeast and northeast China still have a lot to improve in that aspect. The results provide important implications and suggestions for those cities to effectively enhance their innovative development.
Keywords:data envelopment analysis (DEA)  efficiency  two-stage  city innovation performance  
点击此处可从《中国管理科学》浏览原始摘要信息
点击此处可从《中国管理科学》下载免费的PDF全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号