Spatial-temporal characteristics and decoupling effects of China’s carbon footprint based on multi-source data

作     者：ZHANG Yongnian PAN Jinghu ZHANG Yongjiao XU Jing 张永年;潘竟虎;张永姣;许静

作者机构：School of EconomicsLanzhou UniversityLanzhou 730000China College of Geography and Environmental ScienceNorthwest Normal UniversityLanzhou 730070China College of Earth and Environmental SciencesLanzhou UniversityLanzhou 730000China 

出 版 物：《Journal of Geographical Sciences》 (地理学报（英文版）)

年 卷 期：2021年第31卷第3期

页      面：327-349页

核心收录：

学科分类：12[管理学] 1204[管理学-公共管理] 083305[工学-城乡生态环境与基础设施规划] 08[工学] 0833[工学-城乡规划学] 

基　　金：National Natural Science Foundation of China Youth Science Foundation Project No.41701170 National Natural Science Foundation of China,No.41661025,No.42071216 Fundamental Research Funds for the Central Universities,No.18LZUJBWZY068 

主　　题：nighttime lighting data carbon footprint carbon deficit exploratory spatial-temporal data analysis spatial-temporal interaction characteristics decoupling effect 

摘      要：In 2007,China surpassed the USA to become the largest carbon emitter in the *** has promised a 60%–65%reduction in carbon emissions per unit GDP by 2030,compared to the baseline of ***,it is important to obtain accurate dynamic information on the spatial and temporal patterns of carbon emissions and carbon footprints to support formulating effective national carbon emission reduction *** study attempts to build a carbon emission panel data model that simulates carbon emissions in China from 2000–2013 using nighttime lighting data and carbon emission statistics *** applying the Exploratory Spatial-Temporal Data Analysis(ESTDA)framework,this study conducted an analysis on the spatial patterns and dynamic spatial-temporal interactions of carbon footprints from 2001–*** improved Tapio decoupling model was adopted to investigate the levels of coupling or decoupling between the carbon emission load and economic growth in 336 prefecture-level *** results show that,firstly,high accuracy was achieved by the model in simulating carbon ***,the total carbon footprints and carbon deficits across China increased with average annual growth rates of 4.82%and 5.72%,*** overall carbon footprints and carbon deficits were larger in the North than that in the *** were extremely significant spatial autocorrelation features in the carbon footprints of prefecture-level ***,the relative lengths of the Local Indicators of Spatial Association(LISA)time paths were longer in the North than that in the South,and they increased from the coastal to the central and western ***,the overall decoupling index was mainly a weak decoupling type,but the number of cities with this weak decoupling continued to *** unsustainable development trend of China’s economic growth and carbon emission load will continue for some time.