Purpose As the pace of carbon emission reduction in China slows, understanding how to reduce carbon emission inequality becomes increasingly important. However, urban-rural carbon emission inequality has received limited attention. This study aims to explore the causal relationship between smart logistics policy (SLP) and urban–rural carbon emission inequality (URCEI), and aims to provide new insights into mitigating carbon emission inequality. Design/methodology/approach Using a difference-in-d