论文部分内容阅读
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。
Regional economic development is an important research topic in the reform over the past 30 years. The lack of spatial correlation of officially published economic growth data greatly limits the empirical study of spatial patterns of economic growth, especially for regional economic growth data. After verifying the correlation and spatial autocorrelation of night-time light data (NTL) with the national economic growth and spatial autocorrelation, this paper establishes the SAC model of individual fixed effects space to study the regional economic growth and population change in China from 1992 to 2013 Resulting in a time-space model of NTL change and examining the contribution of variables such as regional size and distance from coastline to the economic growth measured by NTL. This article confirms that NTL data is not only an effective proxy for studying the time and space patterns of economic growth at the national and provincial levels in China, but also helps to understand the nature and heterogeneity of China’s model of regional economic growth. During the period from 1992 to 2013, the high and high concentration of regional lights always stabilized in the southeast coast and the agglomeration of self-strengthening occurred. Regional lighting brightness and population growth, regional size and distance from the coastline showed a negative correlation, similar to the NTL growth rate differences also appear in inland and coastal observation units.