Spatial Network Evolution of Water Resources Green Efficiency in Yellow River Basin Urban Agglomerations

Lihong Zhao, Yuge Zhang, Fuzhu Li (), Yuki Yi Gong, Hideyuki Hao Sun, Sing Lui So and Zehua Chen
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Lihong Zhao: College of Economics, Ocean University of China, 238 Songling Road, Qingdao 266100, China
Yuge Zhang: College of Economics, Ocean University of China, 238 Songling Road, Qingdao 266100, China
Fuzhu Li: College of Economics, Ocean University of China, 238 Songling Road, Qingdao 266100, China
Yuki Yi Gong: Georgia Institute of Technology, College of Computing, 801 Atlantic Drive, Atlanta, GA 30332, USA
Hideyuki Hao Sun: Georgia Institute of Technology, College of Computing, 801 Atlantic Drive, Atlanta, GA 30332, USA
Sing Lui So: Georgia Institute of Technology, College of Computing, 801 Atlantic Drive, Atlanta, GA 30332, USA
Zehua Chen: College of Business and Economics, Australian National University, 26C Kingsley Street, Canberra, ACT 2601, Australia

Sustainability, 2025, vol. 17, issue 3, 1-31

Abstract: This study evaluates the transmission relationships and spatial correlation network structure of water resources green efficiency among seven urban agglomerations in the Yellow River Basin from 2008 to 2022. Using the Super-SBM model, water resources green efficiency was measured. A modified gravity model was then employed to assess the spatial linkage intensity among cities. Social network analysis was applied to explore the structural characteristics and evolution patterns of the network. Results reveal a fluctuating water efficiency trend, characterized by “rising, then falling, and finally rising”, with an average efficiency of 0.561. Significant regional disparities and considerable potential for improvement persist. The water efficiency network displays an uneven structure, with intensified spatial linkages and a “dense in the east, sparse in the west” pattern. The overall network density is moderate, characterized by more benefits than spillovers. Zhengzhou, Xi’an, and Jinan emerge as key hubs, exhibiting strong external influence and rapid communication within the network. The distinct and stable core-edge structure underscores the importance of inter-regional collaboration to enhance overall water resources green efficiency. This study provides critical insights and policy recommendations for optimizing water resource allocation and promoting sustainable regional development in the Yellow River Basin.

Keywords: spatial correlation network; water efficiency; super-SBM model; social network analysis (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2025
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