摘要
传统国内生产总值(gross domestic product,GDP)核算是基于统计手段的一种基础经济核算方法,为弥补统计方法带来的内生误差,利用遥感夜间灯光技术进行GDP测算的研究已取得相关成果。为提高估算精度,提出了一种基于多源遥感信息的经济指数估算方法。利用高分辨率光学遥感数据进行土地利用分类,在分析各类用地范围内夜光遥感数据的基础上,研究不同土地利用类型的灯光与GDP之间的关系。此外,为了修正相关模型,确定夜间灯光和GDP分量相关的显著程度,对中国不同省份2012—2019年共8年间的面板数据进行了回归检验。结果表明,夜间灯光与第一产业GDP相关性弱,城镇用地的灯光与第二产业和第三产业GDP显著相关。
The traditional gross domestic product(GDP)calculation is a basic economic calculation method based on statistical methods.To compensate for the endogenous errors brought by statistical methods,the research on GDP calculation using remote sensing night light technology have achieved relevant results.We proposed an economic index estimation method based on multi-source remote sensing information to improve the estimation accuracy.We use high-resolution optical remote sensing data for land use classification.Based on the analysis of luminous remote sensing data of various land use areas,we study the relationship between lighting and GDP of different land use types.In addition,we conduct a regression test on the panel data of different provinces in China from 2012 to 2019 to modify the relevant model and determine the significance of the correlation between night light and GDP components.The results show that the correlation between night light and GDP of primary industry is weak,and the lighting of urban land is significantly correlated with GDP of secondary industry and tertiary industry.
作者
厉芳婷
胡菡
张亮
郑南
LI Fangting;HU Han;ZHANG Liang;ZHENG Nan(State Key Laboratory of Information Engineering in Surveying,Mapping and Remote Sensing,Wuhan University,Wuhan 430079,China;Hubei Institute of Surveying and Mapping,Wuhan 430074,China;School of Management,Guangdong University of Technology,Guangzhou 510520,China)
出处
《测绘地理信息》
CSCD
2023年第1期82-85,共4页
Journal of Geomatics
基金
国家自然科学基金(41901345)。