城镇化、空间溢出与区域经济增长——基于空间回归模型偏微分方法及中国的实证

发布时间：2018-05-03 22:43

本文选题：城镇化 + 经济增长　；参考：《农业技术经济》2014年10期

【摘要】：本文利用中国1995—2011年的分省数据,采用空间计量建模及估计技术,设置三种空间权重矩阵,构建多样化的空间面板数据模型,运用空间回归模型偏微分方法实证测度了城镇化对经济增长的空间溢出效应。研究发现:在不同的空间关联模式下,中国区域经济增长均具有显著的空间依赖性和空间异质性。在控制了资本、财政支出、国有化程度等变量后,城镇化对经济增长的区域内溢出为正,但在统计上不显著。城镇化的区域间溢出效应在不同的空间关联模式下不同,其中:在经济空间的关联模式下为正,在邻接、地理距离空间关联模式下为负。但在不同的空间关联模式下,城镇化对区域经济增长总体上具有正向的空间溢出效应。
[Abstract]:Based on the provincial data from 1995 to 2011 in China and the spatial metrological modeling and estimation techniques, this paper sets up three kinds of spatial weight matrices to construct a diversified spatial panel data model. The spatial spillover effect of urbanization on economic growth is empirically measured by using the partial differential method of spatial regression model. It is found that China's regional economic growth has significant spatial dependence and heterogeneity under different spatial correlation models. After controlling the variables such as capital, fiscal expenditure and degree of nationalization, urbanization has a positive effect on the regional spillover of economic growth, but it is not statistically significant. The inter-regional spillover effects of urbanization are different in different spatial correlation modes, in which the positive effects are positive in the economic spatial correlation mode, the negative in the adjacent spatial correlation mode and the geographical distance spatial correlation mode. However, urbanization has a positive spatial spillover effect on regional economic growth under different spatial correlation models.
【作者单位】：山东财经大学经济学院;山东财经大学公共管理学院;
【基金】：国家社科基金项目(编号:13CJL069) 全国统计科研计划项目(编号:2012LY120) 山东省自然科学基金(编号:ZR2013GM015) 山东省高校科研发展计划项目(编号:J12WG18)
【分类号】：F299.21;F124.1

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