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- W2254584107 abstract "Abstract China’s rapid industrialization and urbanization have resulted in a great deal of CO 2 (carbon dioxide) emissions, which is closely related to its sustainable development and the long term stability of global climate. This study proposes panel data analysis to model spatiotemporal CO 2 emission dynamics at a higher resolution in China by integrating the Defense Meteorological Satellite Program’s Operational Linescan System (DMSP-OLS) nighttime stable light (NSL) data with statistic data of CO 2 emissions. Spatiotemporal CO 2 emission dynamics were assessed from national scale down to regional and urban agglomeration scales. The evaluation showed that there was a true positive correlation between NSL data and statistic CO 2 emissions in China at the provincial level from 1997 to 2012, which could be suitable for estimating CO 2 emissions at 1 km resolution. The spatiotemporal CO 2 emission dynamics between different regions varied greatly. The high-growth type and high-grade of CO 2 emissions were mainly distributed in the Eastern region, Shandong Peninsula and Middle south of Liaoning, with clearly lower concentrations in the Western region, Central region and Sichuan–Chongqing. The results of this study will enhance the understanding of spatiotemporal variations of CO 2 emissions in China. They will provide a scientific basis for policy-making on viable CO 2 emission mitigation policies." @default.
- W2254584107 created "2016-06-24" @default.
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- W2254584107 date "2016-04-01" @default.
- W2254584107 modified "2023-10-03" @default.
- W2254584107 title "Modeling spatiotemporal CO2 (carbon dioxide) emission dynamics in China from DMSP-OLS nighttime stable light data using panel data analysis" @default.
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- W2254584107 doi "https://doi.org/10.1016/j.apenergy.2015.11.055" @default.
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