我国创新产出的空间分布特征研究——基于省际专利统计数据的空间计量分析  

Research on the Spatial Distribution of Chinese Innovative Output:Spatial Econometrics Analysis Based on Province-level Patent Data

作　　者：李志刚[1] 汤书昆[2] 梁晓艳[1] 吴灵光[1] 

机构地区：[1]中国科学技术大学管理学院,安徽合肥230026 [2]中国科学技术大学知识管理研究所,安徽合肥230026

出　　处：《科学学与科学技术管理》2006年第8期64-71,共8页Science of Science and Management of S.& T.

基　　金：985工程"科技史与科技文明国家哲学社会科学创新基地"资助项目(985-2-201)

摘　　要：以省际专利数据作为衡量创新产出的指标,研究了我国创新产出的空间分布特征。指出我国创新产出的不平衡性逐渐加剧,并呈现出在少数省区聚集的现象。用Moran指数及散点图揭示了创新产出水平及其增长模式存在明显的全局和局域空间依赖特征。通过回归分析进一步检验和计算了正向空间相关性的作用强度。Spatial distribution features of Chinese mainland innovative output are studied based on patent statistics on province level. The entropy and relative growth of patent per capita show that the inequality of innovative output among provinces increased from 1990 to 2004 and that innovation concentrated in several provinces. Moran＇s I and Moran scatter plot indicate that there are significant global and local spatial autocorrelation in innovative output and its growth model. At last, regression results of the growth of patent per capital prove the existence of spatial autocorrelation again and its coefficient is given out.

关 键 词：创新产出 创新聚集 空间相关性 空间计量分析 

分 类 号：F223[经济管理—国民经济]