长三角区域创新集聚的空间计量实证研究  

The Spatial Econometricempirical Researching on the Regional Innovation Agglomeration in the Yangtze River Delta

作　　者：赵少平[1] 黄飞[1] 

机构地区：[1]湖南工学院经济与管理学院,中国湖南衡阳421002

出　　处：《经济地理》2016年第8期73-79,共7页Economic Geography

基　　金：湖南省哲学社会科学基金项目(15YBA119);衡阳市社会科学基金项目(2015C002)

摘　　要：结合长三角区域经济与地理两方面特征构建空间权重矩阵,建立空间静态与动态面板SEM模型,对其2003—2013年区域创新空间集聚现象进行考察。Thiel熵显示区域创新存在不平衡性,但在逐渐缩小;Moran's I指数显示区域创新有明显的正空间相关性,在地理空间上集聚;空间静态面板模型实证虽发现长三角的区域创新集聚存在空间正相关性,但因忽略了一些潜在的因素,而高估创新生产的空间相关系数、个体随机效应以及创新投入变量的影响,从而使得模型与实际情况存在偏差,而空间动态面板模型正好弥补其缺点,能更真实客观解释。Using spatial static and dynamic panel data SEM model, we study the spatial integration features of the Yangtze River Delta＇s regional innovation based on the datafrom 2003 to 2013. The Thiel shows the imbalance of regional innovation; the Moran＇s values show that the regional innovation activities in the Yangtze River Delta has a significant positive spatial correlation, which agglomerate in the geographical space; the empirical results of spatial Static panel model find that there is positive spatial correlation between the Yangtze River Delta regional innovation cluster, because of neglecting the influence of some underlying factors, whhich over estimate the spatial correlation coefficient of production innovation, individual random effects and innovation input variables influence, so that there is a deviation between the results and the actual situation. Therefore, the spatial dynamic panel model just makes up its shortcomings, which can be more realistic and objective.

关 键 词：区域创新 Thiel熵 空间动态面板模型 Moran’s I 长三角地区 

分 类 号：F224[经济管理—国民经济]