Abstract: Water scarcity affects human survival and sustainable development, and exploring the spatial transfer of water resource utilization based on water footprints is of great significance to alleviating water scarcity.Based on relevant data from China′s multi-regional input-output tables in 2012,2015,and 2017,the spatial transfer network of water resources and its structural resilience were assessed using the multi-regional input-output model and social network analysis.The results showed that:(1) Xinjiang and Heilongjiang Provinces are regions with larger water footprint outputs, while provinces and regions with larger economies, such as Guangdong, Jiangsu, Zhejiang, and Shandong Provinces, are usually regions with larger water footprint inputs.(2) Regarding the water resources network structural resilience indicators: for hierarchy, the slope of the fitted curve of the network degree distribution |a| is larger from 2012 to 2017,which indicates that the hierarchical nature of the water resources network is obvious; for correlation, there are more negative correlations between individual nodes and their neighborhoods and the linking paths are usually heterogeneous and diversified; for transmission, the average path length L of the network is 1.40 to 1.70 from 2012 to 2017,indicating relatively greater accessibility and diffusion in the region; and for clustering, most regions in the water resources network have relatively strong links to other neighboring regions and fewer nodes in isolated regions.In addition, the clustering coefficients of the nodes of the regional water resources network show a certain negative correlation with the degree value.The research results can provide a reference for the sustainable utilization and rational allocation of water resources.