TY - JOUR
T1 - Quantifying spatial heterogeneity and driving mechanisms of water-energy-food coordination in the Yellow River Basin
T2 - A hybrid framework approach
AU - Zheng, Huazhu
AU - Lu, Jungang
AU - He, Hongming
AU - Wu, Yongjiao
AU - He, Maofeng
AU - Cheng, Dong
AU - Yao, Zhengyu
AU - Gomez, Christopher
N1 - Publisher Copyright:
© 2025 Elsevier Ltd
PY - 2025/10/15
Y1 - 2025/10/15
N2 - Sustainable coordination of the Water-Energy-Food (WEF) nexus in the Yellow River Basin (YRB) faces challenges due to complex terrain-climate-human interactions, with their coupling mechanisms underexplored. To address this issue, we developed an innovative hybrid framework integrating the Super-SBM model, game theory combination weighting based Coupling Coordination Degree (CCD) model, Random Forest, and PLS-SEM to analyze the spatiotemporal patterns and driving mechanisms of WEF nexus across 53 YRB cities from 2003 to 2023. Our key findings reveal: (1) WEF efficiencies in the YRB remain low (WRUE = 0.57, EUE = 0.54, GPE = 0.79) with divergent trends—WRUE and EUE fluctuate, while GPE steadily improves. High-efficiency cities (e.g., Ordos, Yulin) contrast with low-efficiency ones (e.g., Xi'an, Zhengzhou), revealing spatial mismatches between resource endowment and functional roles. (2) The basin-wide WEF Nexus Coupling Coordination Degree (WEF-CCD) exhibits an inverted U-shaped trajectory (0.57 → 0.62→0.58) and, overall, reflects a marginal coordination level. While 51 % of cities show improvement, 49 % experience a decline, highlighting development pathways that are largely influenced by resource endowments. (3) PLS-SEM results, interpreted via the PSR framework, reveal spatially differentiated drivers: in the upstream, terrain-induced pressures dominate and constrain coordination (path coefficient = −1.24); in the midstream, terrain and erosion pose ongoing pressures, but warming temperatures improve state conditions and crop yields (+0.36), with terrain-climate interactions shaping human impacts; in the downstream, strong human pressures and effective responses—such as innovation—enhance WEF coordination (+0.48). Based on these insights, we propose a zoning-based governance strategy to align regional resources with targeted WEF management.
AB - Sustainable coordination of the Water-Energy-Food (WEF) nexus in the Yellow River Basin (YRB) faces challenges due to complex terrain-climate-human interactions, with their coupling mechanisms underexplored. To address this issue, we developed an innovative hybrid framework integrating the Super-SBM model, game theory combination weighting based Coupling Coordination Degree (CCD) model, Random Forest, and PLS-SEM to analyze the spatiotemporal patterns and driving mechanisms of WEF nexus across 53 YRB cities from 2003 to 2023. Our key findings reveal: (1) WEF efficiencies in the YRB remain low (WRUE = 0.57, EUE = 0.54, GPE = 0.79) with divergent trends—WRUE and EUE fluctuate, while GPE steadily improves. High-efficiency cities (e.g., Ordos, Yulin) contrast with low-efficiency ones (e.g., Xi'an, Zhengzhou), revealing spatial mismatches between resource endowment and functional roles. (2) The basin-wide WEF Nexus Coupling Coordination Degree (WEF-CCD) exhibits an inverted U-shaped trajectory (0.57 → 0.62→0.58) and, overall, reflects a marginal coordination level. While 51 % of cities show improvement, 49 % experience a decline, highlighting development pathways that are largely influenced by resource endowments. (3) PLS-SEM results, interpreted via the PSR framework, reveal spatially differentiated drivers: in the upstream, terrain-induced pressures dominate and constrain coordination (path coefficient = −1.24); in the midstream, terrain and erosion pose ongoing pressures, but warming temperatures improve state conditions and crop yields (+0.36), with terrain-climate interactions shaping human impacts; in the downstream, strong human pressures and effective responses—such as innovation—enhance WEF coordination (+0.48). Based on these insights, we propose a zoning-based governance strategy to align regional resources with targeted WEF management.
KW - Coupling coordination degree
KW - Driving mechanisms
KW - Hybrid modeling approach
KW - Spatial heterogeneity
KW - Water-energy-food (WEF) nexus
UR - https://www.scopus.com/pages/publications/105012389903
U2 - 10.1016/j.energy.2025.137757
DO - 10.1016/j.energy.2025.137757
M3 - 文章
AN - SCOPUS:105012389903
SN - 0360-5442
VL - 334
JO - Energy
JF - Energy
M1 - 137757
ER -