摘要
本文以一种地理空间的视角,采用探索性空间数据分析,考察了中国内地31个省域城市化对经济增长驱动作用的大小。实证研究的结果表明,各个省域城市化和经济增长均存在着空间自相关;城市化率对经济增长贡献逐渐增大;城市消费对经济增长拉动作用显著,但进一步上升的速度缓慢;城市投资推动经济增长的迹象逐步显现;城市政府支出对经济增长的作用在不断减小。另外,本文在研究中还发现,与空间计量模型相比,普通回归模型由于忽略了空间因素,存在着不同的高估或低估现象。
From a spatial perspective,this paper studies how urbanization drive economic growth in 31 provinces in China's mainland by Exploratory Spatial Data Analysis.Empirical results show that the urbanization and growth in each province have their spatial autocorrelation.Urbanization rate promotes growth gradually.Urban consumption boosts growth significantly,while further rising rate is slow.The sign which shows the growth promoted by urban investment is revealed gradually.Urban government expenditure shows decreasing effect on growth.Furthermore,by comparing with spatial econometric model,the paper finds that OLS model has over-or underestimating results because of lack of spatial factor.
出处
《上海经济研究》
CSSCI
北大核心
2011年第5期3-15,43,共14页
Shanghai Journal of Economics
基金
上海高校选拔培养优秀青年教师科研基金项目(sjr10010)
上海金融学院人才引进启动项目(A-0706-10-011)
关键词
城市化
经济增长
空间自相关
空间模型
Urbanization
Economic Growth
Spatial Autocorrelation
Spatial Econometric Model