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