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该文以2009-2013年我国中部地区80个地级市面板数据为基础,采用空间计量方法,分别在邻接权重和经济空间权重下,通过引入省际虚拟变量以剔除省际差异的影响后,将城镇化及其他影响因素对经济增长的空间溢出效应进行分解。研究结果表明:(1)通过Morans’I指数检验,城镇化与经济增长在邻接权重和经济空间权重两种空间关联下,均具有显著的空间相关性;(2)与空间计量回归模型相比,传统的普通OLS回归由于忽视空间因素的影响,城镇化对经济增长的贡献率存在低估现象;(3)在两种空间关联下,城镇化对经济增长均具有显著的区域内溢出效应;(4)消费、投资、政府支出、金融发展水平对经济增长均存在正向空间溢出效应,其中,消费以及金融发展对经济增长的溢出效应相对不足,经济开放度对经济增长表现为负的溢出效应。
Based on the panel data of 80 prefecture-level cities in central region of China from 2009 to 2013, this paper adopts spatial measurement method to eliminate the influence of provincial discrepancy by introducing inter-provincial dummy variables under the weight of adjacent weights and economic space respectively. The urbanization and other influencing factors will be decomposed on the spillover effect of economic growth. The results show that: (1) Through the Morans’I index test, urbanization and economic growth have significant spatial correlation under the spatial relations of adjacency weight and economic space weight; (2) Compared with the spatial econometric regression model , The traditional ordinary OLS regression has underestimated the contribution rate of urbanization to economic growth due to the neglect of spatial factors; (3) Urbanization has a significant intra-regional spillover effect on economic growth under both spatial relations; (2) 4) There is a positive spillover effect of consumption, investment, government expenditure and financial development on economic growth. Among them, the spillover effect of consumption and financial development on economic growth is relatively insufficient, and the economic spillover effect has a negative spillover effect on economic growth .