The shipping industry is responsible for 80% of world's trade and transportation, plays a pivotal role in the global economy, even now facing a decarbonylative trial. With the challenges of climate change, analyzing the spatial-temporal characteristics and driving factors of carbon emissions from international shipping has become a prerequisite for controlling greenhouse gas emissions, especially carbon dioxide emissions. On this basis, this study introduces the data of 19 coastal countries in the European Union (EU) to build the weighting matrices and spatial Durbin model to reflect the spatial-temporal characteristics and driving factors. The observations reflect that the carbon emissions from shipping trade in the EU coastal countries have a positive spatial correlation and spatial clustering. Additionally, the driving factors not only affect the domestic region, but also cause the spillover effect. Further, the spatial spillover effects of driving factors still exist in both the short-term and long-term perspectives, where that in the short-term perspective is more obvious.

航运业承担着全球80%的贸易和运输，在全球经济中发挥着举足轻重的作用，甚至目前还面临着脱羰的考验。面对气候变化的挑战，分析国际航运碳排放的时空特征和驱动因素已成为控制温室气体排放特别是二氧化碳排放的前提。在此基础上，本研究引入欧盟19个沿海国家的数据，构建反映时空特征和驱动因素的权重矩阵和空间杜宾模型。观察结果表明，欧盟沿海国家航运贸易碳排放存在正空间相关性和空间聚集性。此外，驱动因素不仅影响国内地区，还会产生溢出效应。此外，驱动因素的空间溢出效应在短期和长期视角下仍然存在，其中短期视角更为明显。