为探究京津冀物流业碳排放与经济增长之间的脱钩状态及其驱动机制，以京津冀地区物流业为研究对象，通过构建碳排放Tapio脱钩模型，判断2005—2022年京津冀物流业碳排放与经济增长之间的脱钩状态，进而借助对数平均迪氏指数法剖析脱钩驱动因素，并将其分解为能源结构效应、能源消费强度效应、物流效率效应、运输强度效应、经济增长效应和人口规模效应六大效应。结果表明：①研究期间，京津冀物流业碳排放量呈现上升趋势，且区域内碳排放差异明显；②京津冀物流业碳排放与经济增长之间以弱脱钩为主，尽管碳排放增速低于经济增长速度，但二者仍未实现完全脱钩，经济发展对碳排放的依赖尚未彻底消除；③能源结构效应、物流效率效应和经济增长效应对京津冀物流业碳排放脱钩具有正向驱动作用。因此，为助力“双碳”目标的实现，京津冀地区需进一步优化能源消费结构，搭建多维驱动的能源转型生态，深化产业-人口-物流协同布局，推动物流业绿色转型。

To investigate the decoupling status and driving mechanism between carbon emissions and economic growth in the logistics industry of the Beijing-Tianjin-Hebei region, this study selected the Beijing-Tianjin-Hebei logistics industry as the research subject. A Tapio decoupling model of carbon emissions was established to assess the decoupling status between carbon emissions and economic growth in the logistics industry of the Beijing-Tianjin-Hebei region from 2005 to 2022. Subsequently, the Logarithmic Mean Divisia Index (LMDI) approach was employed to decompose the key drivers behind carbon emission decoupling, categorizing them into six factors: energy structure, energy consumption intensity, logistics efficiency, transportation intensity, economic growth, and population size effect. The results indicate that:①over the study period, carbon emissions within the Beijing-Tianjin-Hebei logistics industry increased steadily, accompanied by pronounced regional disparities; ②weak decoupling characterized the relationship between carbon emissions and economic growth in the logistics industry of the Beijing-Tianjin-Hebei region; while emissions grew at a slower pace than the economy, full decoupling remained elusive, indicating persistent reliance on carbon-intensive development; ③The energy structure, logistics efficiency, and economic growth factors significantly propelled the decoupling process. Therefore, to facilitate the achievement of the carbon peaking and carbon neutrality goals, the Beijing-Tianjin-Hebei region needs to further optimize its energy consumption structure, build a multi-dimensional driven energy transformation ecosystem, deepen the coordinated layout of industry-population-logistics, and promote the green transformation of the logistics industry.