摘要
区域创新能力评价对于政府决策和企业投资环境选择具有重要的实践意义。本文基于2003-2006年的全国29个省市自治区的截面数据,利用投影寻踪分类模型对我国区域创新能力进行了评价,并按综合创新能力大小,将全国分为三类地区。实证结果显示,江苏和广东是创新能力最强的两个省份,而宁夏则是创新能力最弱的地区,且陕西和海南是创新能力提升最快的两个省份,而河北和青海则是创新能力下降最快的两个地区。
It is very important to evaluate regional innovation ability for decision-making of government and enterprise choice of investment envirement. Based on annual data of 29 province from 2003 to 2006, evaluation of regional innovation ability in China is done by using projection pursuit classification model. Accoding to the empirical results, three types areas are classifed with the size of the integrated innovation ability. Additionally, as the results shown, Jiangsu and Guangdong are the most innovative provinces, and Ningxia is the weakest areas of innovation ability. Shanxi and Hainan are the fastest growing provinces of innovation ability, While Hebei and Qinghai are the fastest declining regions of innovation ability.
出处
《技术经济与管理研究》
北大核心
2009年第4期21-23,共3页
Journal of Technical Economics & Management
基金
教育部人文社科研究基地清华大学技术创新研究中心金沙江创新创业基金研究项目(项目名称:FDI对中国区域创新能力的溢出效应分析)
江苏省教育厅高校哲学社科基金项目(08SJB790020)
关键词
投影寻踪分类模型
区域创新
评价
projection pursuit classification model
regional innovation ability
evaluation
