Spatiotemporal Evolution and Driving Forces of Inter-Provincial Water Footprint Flow Networks in China: A Comparative Advantage Perspective
Year: 2026
Type: article
Abstract: China’s rapid urbanization and industrialization have led to a severe shortage of water resources. China’s water scarcity problem is characterized by the mismatch between water resources, economic development, and the spatial distribution of production factors. Therefore, it is significant to study the complex dynamic relationship of water resource flow in space to alleviate regional water scarcity and realize sustainable development. In this study, the spatial effects and key influencing factors of the inter-provincial water-resource flow network in China were examined using water-resource consumption as a measure. The results show that the total water footprint showed an upward trend during the study period, and the water footprints of Xinjiang and Jiangsu were much higher than those of other regions. The hotspot areas of inter-provincial water footprint of inflow (WFI) were mainly concentrated in water-abundant areas, while the hotspot areas of water footprint of outflow (WFO) were concentrated in water-scarce areas, and the flow pattern lacked rationality. The local spatial structures of WFI and WFO were found to be relatively stable and showed a trend of synergistic change, with a higher degree of spatial agglomeration in WFO compared to WFI. Considering China’s future water resource security and sustainable development, economic development and scientific and technological inputs should play a more important role in alleviating pressure on the major water-resource-exporting provinces and optimizing the inter-provincial water-resource flow pattern.
Source: Water
DOI: 10.3390/w18182244
Authors: Xi Zheng, Xuezhong Tai, Mengyu Han, Qiuya Zhao
Institutions: Lanzhou University, Hohai University
Language: English
Subfield: Environmental Engineering
Field: Environmental Science
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $3,137
OpenAlex ID: W7212066571
