节点文献
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
【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。
【Abstract】 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.
【Key words】 innovative output; innovation cluster; spatial autocorrelation; spatial econometrics;
- 【文献出处】 科学学与科学技术管理 ,Science of Science and Management of S.& T. , 编辑部邮箱 ,2006年08期
- 【分类号】F204;F224
- 【被引频次】129
- 【下载频次】1890