空间集聚、空间相关性和智慧城市成长——基于我国智慧城市试点的空间计量研究

Spatial Agglomeration,Spatial Dependence and The Growth of Smart City:A Spatial Study on the the Chinese Pilots of Smart City

摘要:

首先构建智慧城市成长指标,然后通过2000-2013年我国智慧城市试点的数据形成省际数据并对其进行直观描述,再利用空间计量分析方法对省际智慧城市成长水平的空间分布和空间相关性进行实证研究。从可视化描述上可以直观判断我国智慧城市成长水平存在省际集聚,区位Gini系数证实了这一判断。Moran I指数显示中国省际智慧城市成长呈现空间相关,Moran散点图则明确显示了各省智慧城市成长的空间相关模式。研究结论揭示了不同区域智慧城市成长的轨迹和地理特性,有利于制定城市发展策略。

Abstract:

Smart city is one of the focuses research at present, this paper selects the Chinese pilots of the smart city to analyze the spatial distribution and dependence of 30 provinces of China mainland by spatial econometrics methods. Visible distribution plot has illustrated that the growth of smart city will be spatial agglomeration. Then, Gini coefficient and Moran`s index have shown that the growth level of smart city of Chinese province is not distributed randly, and have presented different layer of spatial dependence. Moran scatter plot has indicated the spatial depentent pattern of growth level of smart city in China. The results will profit for provinces to find the trail of the growth change of smart city and will be helpful in making regional strategy for the developement of smart city by understand precisely the geographical diffefence of growth of smart city.