广东省区域创新产出的空间相关性研究

Research on Spatial Autocorrelation of Innovation Output in Guangdong Province

以广东省21个地级市作为空间研究单元,以大中型工业企业新产品产值作为创新产出的测量指标,对全省2003—2010年市域创新产出进行探索性空间数据分析。通过计算基尼系数、Moran’s I指数以及Moran散点图的分析发现:①近7年间,广东省各市创新产出值均有较大幅度的提高,但区域空间差距也非常明显;②广东省创新产出能力的集中程度不高并保持相对稳定的变化趋势;③广东省Moran’s I值的贡献主要来自于低创新产出地区的集聚,且目前暂未有高极化程度的高创新产出集聚区,说明创新产出核心区的空间知识溢出暂未显现。

Using the methods of exploratory spatial data analysis （ESDA）, this paper analyzes the spatial distribution of innovation outputs, measured by the output of new product of large and medium-sized industrial enterprises, throughout 21 prefecture-level cities in Guangdong province from 2003 to 2010. By computing the spatial Gini coefficient and using the Moran＇ s I and the Moran scatter plot, we can conclude that： （1） Nearly seven years, Guangdong Province value of innovative output by city has dramatically increased, but the gap between the regional space is also very clear; （2） The trend that low concentration level of innovative outputs of Guangdong Province is relatively stable; （3） The value of Moran＇s I of Guangdong Province contribution from the clustering of low innovation output region, high polarization degree of the output of innovation cluster area has not yet formed, and the core of innovation output on Spatial Knowledge Spillovers has not appeared