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Temporal-spatial analysis of transportation CO2 emissions in China: Clustering and policy recommendations.


ABSTRACT: Reducing transportation-related carbon dioxide (CO2) emissions in China poses significant challenges due to the sector's growth potential and variations among provinces and transportation modes. This study utilizes the bottom-up approach and the Logarithmic Mean Divisia Index (LMDI) decomposition method to calculate transportation CO2 emissions and explores the temporal-spatial differences across Chinese provinces. The results reveal that national transportation CO2 emissions increased by 50.14% from 2010 to 2019, and emissions from private cars present the fastest growth among all transportation modes by 254% over the decade. Spatially, higher emissions are found in eastern provinces, and neighboring provinces notably distinguish from each other in terms o

SUBMITTER: Zhang L 

PROVIDER: S-EPMC10835224 | biostudies-literature | 2024 Jan

REPOSITORIES: biostudies-literature