基于夜间灯光数据的中国省域GDP总量分析  

GDP Gross Analysis at Province-Level in China Based on Night-Time Lightsatellite Imagery

作　　者：王琪[1] 袁涛[1] 郑新奇[1] 

机构地区：[1]中国地质大学(北京)土地科学技术学院,北京100083

出　　处：《城市发展研究》2013年第7期44-48,共5页Urban Development Studies

基　　金：国土资源部公益性行业科研专项经费项目资助(编号:201011018)

摘　　要：国内生产总值(GDP)通常以各种统计资料、统计报表为基础进行核算,费时耗财。本文提出了一种基于DMSP/OLS夜间灯光数据测算GDP的新方法。在分析夜间灯光强度与GDP关系基础上,采用回归分析的方法建立了GDP空间化模型,在GIS平台中实现了省级GDP空间化模拟。结果显示,建立的回归模型拟合精度达到0.964,显著性水平低于0.05,通过夜间灯光数据计量省级GDP总量的效率和精度都令人满意,将灯光数据应用于经济分析具有可行性。进一步修正完善模型,将为区域经济研究提供一种新研究方法。Gross domestic product （GDP） is usually accounted based on various statistic data and statistical forms in a time-consuming and expensive way. In this paper, a new method for GDP calculation based on DMSP/OLS night-time lightsatellite imagery is proposed. In the method, a GDP spatial model is established by using the regression analysis method based on analysis of the relationship between light intensity at night and GDP. Moreover, spatialization simulation at province-level in GIS platform is carried out. The results show that the fitting precision of the regression model reaches 0. 964 and the significance level is lower than 0.05, the efficiency and accuracy of province-level GDP calculation based on night-time lightsatellite imagery are satisfactory. It is feasible that night-time lightsatellite imagery used in economic analysis. Further amendments for the model would present a new study method for regional economy.

关 键 词：GDP计量 DMSP OLS数据 灯光强度 回归模型 

分 类 号：F129.9[经济管理—世界经济]