从夜间灯光看中国区域经济发展时空格局

发布时间：2018-11-20 18:08

【摘要】：区域经济发展是改革30余年来的重要研究课题。官方公布的经济增长数据缺乏空间相关性,极大地限制了经济增长的空间模式的实证研究,对区域经济增长数据更是如此。本文验证夜间灯光数据(NTL)与国家层面经济增长的相关性及空间自相关性后,建立个体固定效应空间面板全模型(SAC),研究中国1992—2013年间省级层面区域经济增长与人口变化导致的NTL变化的时空模式,并考察了区域规模及距离海岸线的距离等变量对以NTL度量的经济增长的贡献。本文证实了NTL数据不仅是研究中国国家及省级区域层面经济增长时间、空间模式的有效代理变量,更有助于理解中国区域经济增长空间模式的本质及异质性。1992年至2013年间区域灯光的高一高集聚始终稳定在东南沿海并出现集聚的自我强化。区域灯光亮度与人口增长、区域面积及距离海岸线的距离呈现负相关性,类似NTL增长率差异同样出现在内陆及沿海观测单元之间。
[Abstract]:Regional economic development is an important research topic in the past 30 years. The lack of spatial correlation in the published economic growth data greatly limits the empirical research on the spatial pattern of economic growth, especially for the regional economic growth data. After verifying the correlation between night lighting data (NTL) and economic growth at the national level and spatial autocorrelation, an individual fixed effect spatial panel full model (SAC), is established in this paper. This paper studies the temporal and spatial models of regional economic growth and NTL change caused by population change at provincial level in China from 1992 to 2013, and studies the contribution of regional scale and distance from coastline to economic growth measured by NTL. This paper proves that NTL data is not only an effective proxy variable for studying the time and spatial patterns of economic growth at the national and provincial levels in China. It is helpful to understand the nature and heterogeneity of the spatial pattern of regional economic growth in China. There is a negative correlation between regional lighting brightness and population growth, regional area and distance from shoreline, similar to the difference of NTL growth rate between inland and coastal observation units.
【作者单位】：华南理工大学产业与城镇发展研究中心;广州国家创新型城市发展研究中心;华南理工大学经济与贸易学院;
【分类号】：F127

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