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Characteristics and Influencing Factors of the Spatial and Temporal Variability of the Coupled Water–Energy–Food Nexus in the Yellow River Basin in Henan Province

Author

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  • Shunsheng Wang

    (Collaborative Innovation Center for Efficient Utilization of Water Resources, North China University of Water Resources and Electric Power, Zhengzhou 450046, China
    School of Water Conservancy, North China University of Water Resources and Electric Power, Zhengzhou 450046, China)

  • Ruijie Yang

    (School of Water Conservancy, North China University of Water Resources and Electric Power, Zhengzhou 450046, China)

  • Shang Shi

    (Jiangxi Water Resources Institute, Nanchang 330013, China)

  • Aili Wang

    (School of Water Conservancy, North China University of Water Resources and Electric Power, Zhengzhou 450046, China)

  • Tengfei Liu

    (School of Water Conservancy, North China University of Water Resources and Electric Power, Zhengzhou 450046, China)

  • Jinyue Yang

    (School of Water Conservancy, North China University of Water Resources and Electric Power, Zhengzhou 450046, China)

Abstract

The interconnection of water, energy, and food constitutes a complex and intricate relationship. A comprehensive index system for the water–energy–food (WEF) nexus in the Yellow River Basin (YRB) in Henan Province was formulated utilizing entropy weighting and the analytic hierarchy process. This was carried out to quantify and assess the evolution of the WEF nexus from 2006 to 2020. GeoDetector was employed to ascertain how selected factors influenced the coupled, coordinated growth of the WEF nexus. Three principal findings were revealed in this study. (1) The value of the comprehensive evaluation index of the WEF nexus increased over the study period from 0.2752 to 0.7044, with the degree of coupling coordination expanding from 0.5232 to 0.8361, indicating an overall increasing trend. (2) Significant spatial disparities across the province were detected in the degree of coupling coordination of the WEF nexus. Cities such as Kaifeng, Zhengzhou, and Luoyang had greater degrees of WEF coupling coordination compared to other cities, while Jiyuan demonstrated the least degree of coordination. (3) GeoDetector exhibited that factors like education expenditure, arable land area, and population density individually exerted a strong influence on coupling coordination; the influence of two-factor combinations heightened this effect, and nonlinear relationships between factor pairs further increased the influence. This investigation offers a conceptual structure for planning and implementing high-quality development in the YRB in Henan Province, thus serving as an essential reference for local governmental decision making.

Suggested Citation

  • Shunsheng Wang & Ruijie Yang & Shang Shi & Aili Wang & Tengfei Liu & Jinyue Yang, 2023. "Characteristics and Influencing Factors of the Spatial and Temporal Variability of the Coupled Water–Energy–Food Nexus in the Yellow River Basin in Henan Province," Sustainability, MDPI, vol. 15(18), pages 1-17, September.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:18:p:13977-:d:1244172
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    References listed on IDEAS

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    1. Dongfeng Ren & Zeyu Hu & Aihua Cao, 2024. "Evaluation and Prediction of the Coordination Degree of Coupling Water-Energy-Food-Land Systems in Typical Arid Areas," Sustainability, MDPI, vol. 16(16), pages 1-22, August.
    2. Wei Zhang & Chang Liu & Lingqi Li & Enhui Jiang & Hongjun Zhao, 2024. "The Coupling Coordination Degree and Its Driving Factors for Water–Energy–Food Resources in the Yellow River Irrigation Area of Shandong Province," Sustainability, MDPI, vol. 16(19), pages 1-22, September.
    3. Lei Tong & Mengdie Luo, 2024. "Spatiotemporal Evolution Characteristics and Driving Factors of Water-Energy-Food-Carbon System Vulnerability: A Case Study of the Yellow River Basin, China," Sustainability, MDPI, vol. 16(3), pages 1-32, January.

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