摘要
采用探索性空间数据分析方法,构建城市面板数据的空间滞后和空间误差模型,考量生产性服务业集聚对新型城镇化的影响。结果表明,生产性服务业集聚和新型城镇化在空间上存在自相关现象,并已形成东部沿海城市的高值集聚区和西部城市的低值集聚区;我国各城市的新型城镇化水平存在空间依赖性,生产性服务业集聚对新型城镇化水平的提升具有显著的促进作用;居民收入对新型城镇化的正向作用显著;城市经济发展的影响效果由显著变得不显著;政府政策支持和外商直接投资对新型城镇化的正向影响日益显著。
This article uses the exploratory spatial data analysis method, constructs the spatial lag and spatial error model of city panel data to examine the effect of producer services agglomera- tion on new urbanization. The empirical analysis shows that the producer services industry clus- tering and new urbanization autocorrelation phenomenon exists in the space, and has formed the high value of the eastern coastal city agglomeration area and the western city of low concentration area; New urbanization level in China are spatial dependent, and producer services industry ag- glomeration level has a significant role in promoting the new urbanization level. People＇s income also has a positive effect on the level, the significant effect of urban economic development has become insignificant, but the government policy support and foreign direct investment are having increasingly more significant influence on the new urbanization. The results can be used to effec- tively promote the urbanization process to provide new insight into new urbanization.
出处
《财经理论与实践》
CSSCI
北大核心
2014年第4期105-110,共6页
The Theory and Practice of Finance and Economics
基金
湖南省软科学重大项目(2013Z2062)
湖南省社科基金基地项目(13JD03)
关键词
生产性服务业集聚
新型城镇化
空间计量
Producer Services Clustering
New Urbanization
Spatial Econometrics
