五大区区域经济增长收敛性的动态空间计量分析  

Dynamic Spatial Econometric Analysis of Five Districts Regional Economic Growth Convergence

作　　者：孙向伟[1] 陈斐[2,3] 李峰[2] 

机构地区：[1]南昌大学管理学院,杭州310013 [2]南昌大学经济管理学院,南昌330031 [3]浙江理工大学经济管理学院,杭州310013

出　　处：《统计与决策》2017年第4期97-101,共5页Statistics & Decision

基　　金：国家自然科学基金资助项目(41661027);国家留学基金委2015-2016年公派出国联合培养博士生项目;江西省教育厅科学技术研究重点项目(GJJ150024)

摘　　要：文章以中国339个地市为分析单元,对五大区进行分析,在新古典经济增长模型的基础上,采用动态空间杜宾面板数据模型方法,考察中国区域经济增长收敛特征。结果表明:五大区在经济增长收敛上的表现是一致的,即都存在经济收敛情况,收敛的速度从大到小依次为:东部地区,西南地区,中部地区,东北地区,西北地区。其次,东部地区的空间溢出效应的特征不同于其他四大区域,具体表现为其经济增长方式对空间位置关系较为敏感,因此在实施区域经济协调发展政策时需要区别对待。In this paper, we adopted China 339 prefectures panel data as the analysis unit to analyze the economic growth of the five large areas in China. We used the neoclassical growth model with the dynamic spatial econometrics approach to study the Chinese regional economic growth convergence and the heterogeneity from the space and time dimensions and then compared the characteristics of each region's economic growth. The results show that, from the five district level perspective, the five boroughs are all convergence, and with the speed of convergence in descending order: the eastern, southwestern, central, northeast, northwest. Secondly, the eastern part of the feature space spillover effect is different from the other four regions. Specifically, the economic growth are more sensitive to the spatial position relationship, so in the implementation of coordinated regional economic development policies need to be treated differently.

关 键 词：动态空间计量经济方法 面板数据模型 区域经济增长 经济收敛 

分 类 号：F061.5[经济管理—政治经济学]