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

Journal of Geographical Sciences 2021年第3期31卷 327-349页

作者： ZHANG Yongnian PAN Jinghu ZHANG Yongjiao XU Jing School of Economics Lanzhou UniversityLanzhou 730000China College of Geography and Environmental Science Northwest Normal UniversityLanzhou 730070China College of Earth and Environmental Sciences Lanzhou UniversityLanzhou 730000China

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.

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

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