摘要
本文对广东省21个地级市R&D活动与经济增长进行了探索性空间数据分析(ESDA)中,并计算1990-2007年的Moran’s I统计值。结果表明,市域R&D分布存在显著的正向空间自相关关系,即空间集聚现象。各地区的人均专利数不是随机分布的,具有较高(低)估计值的地区常常与周围具有较高(低)估计值的地区相邻。结合Moran散点图与LISA研究分析得出,广东省市域的人均专利数不仅存在空间自相关现象,还存在空间差异现象,总体上是一个中心——外围模型结构状态,由珠三角地区形成的富裕集聚区,另一个是由山区和东翼形成的外围低水平空间集聚区。
According to the studies of these 21 cities＇ R＆D activities in Guangdong on ESDA, the Moran＇s I statistics between 1990 and 2007 show that there is a significant positive relationships between the cities＇ R＆D levels. The number of patents per capita is not random distributed the area with higher （lower） estimated value is alsO adjacent to other areas with higher （lower） estimated values. Combined with the Moran＇s scatter diagram and LISA analysis, it comes out that the patents per capita exist not only the phenomenon of spatial autoeorrelation, but also the phenomenon of spatial difference in Guangdong. Overall it is a core-periphery structure. The core is Pearl River delta, the rich zone, and the mountain area and the east wing, the low level agglomeration zone form the periphery.
出处
《技术经济》
2010年第8期45-50,共6页
Journal of Technology Economics
