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在区域经济增长收敛性的研究中,大尺度的观测单元可能会忽略小尺度观测单元间的异质性特征,小尺度观测单元的采用可以改善模型回归系数产生的偏差问题,具有重要的学术和现实意义。采用1992-2010年中国339个地市统计数据,基于新古典经济增长模型的空间计量面板扩展形式,考察我国五大区的区域经济增长收敛和异质性特征,结果表明,中国五大区域普遍存在区域经济收敛,且收敛速率远高于采用传统新古典模型和省级数据的情况;收敛的速率从大到小依次为东部地区、西南地区、中部地区、东北地区和西北地区;东部地区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,政策决策者在制定区域经济协调发展政策时应注意改善我国技术和资本转移机制,在实施区域经济协调发展政策时需要区别对待。
In the study of the convergence of regional economic growth, large-scale observation units may ignore the heterogeneity characteristics of small-scale observation units, and the adoption of small-scale observation units may improve the deviation of model regression coefficients, which has important academic and Realistic meaning. Based on the data of 339 cities in China from 1992 to 2010 and the expansion of spatial metrology panel based on the neoclassical economic growth model, the regional economic growth convergence and heterogeneity in the five major regions of China are investigated. The results show that the five regions in China are ubiquitous Economic convergence, and the convergence rate is much higher than the traditional neoclassical model and provincial data; the rate of convergence from descending order of eastern, southwest, central, northeast and northwest regions; the spatial distribution of the eastern region Is different from the other four major regions in that it is characterized by its sensitivity to the spatial location of its economic growth mode. Therefore, when formulating the policy of coordinated development of regional economy, policy makers should pay attention to improving the mechanism of technology and capital transfer in our country and need to be treated differently when implementing the policy of coordinated development of regional economy.