The green development of China's logistics industry is a key area for the carbon peaking and carbon neutrality goals. This article combines the connotation of green development in the logistics industry to study and construct a green logistics development level indicator system. Based on the carbon emissions inventory and statistical yearbook data of China's provincial-level transportation, logistics, and warehousing industry from 2014 to 2019, factor analysis was used to reduce the dimensionality of green logistics development indicators to form 8 influencing factors. A geographic weighted regression model was applied to explain the provincial differences and spatiotemporal evolution patterns of the driving factors of carbon emissions intensity in China's logistics industry. The study found that during the sample investigation period, the carbon emission intensity of China's logistics industry at the provincial level showed an aggregation phenomenon of weakening year by year, and showed a basic spatial differentiation pattern of "strong in the west and weak in the east". The factor center of gravity showed a trend of shifting from the east to the central region. The factors of extensive logistics development and logistics equipment have the strongest positive effects on carbon emission intensity, while the factors of energy cleanliness, freight structure adjustment, and innovation have inhibitory effects. Based on the analysis results and the resource endowments and development strategies of each province, policy implications for the development of green logistics in China were proposed.

green logistics  /  carbon emission intensity  /  geographically weighted regression model  /  spatial and temporal heterogeneity