201. Analysis of coupling coordination structural characteristics of water-energy-food-ecosystems based on SNA model: A case study in the nine provinces along the Yellow River, China.
- Author
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Zhang, Lin, Jiang, Xiaohui, Li, Yuehong, Xu, Fangbing, and Huang, Xin
- Subjects
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REGIONAL development , *REGIONAL disparities , *SOCIAL network analysis , *WATERSHEDS , *CALORIC content of foods - Abstract
The Yellow River Basin (YRB) is a significant grain base, energy base and natural ecological barrier in China. It is also an area with scarce water resources, and there was a constraint relationship with water-energy-food-ecosystems (WEFE). Studying the synergistic WEFE relationship has a favorable impact on the promotion of high-quality and sustainable development. This study developed a comprehensive index system for WEFE and analyzed the evolution of coupling relationship over time. Geographical detector was used to quantify the driving factors of coupling coordination degree. Social network analysis (SNA) model was used to evaluate the network characteristics and spatial patterns of coupling coordination of WEFE. The results indicated that: 1) the coupling coordination degree of WEFE Nexus had increased from moderate incoordination to good coordination during 2006–2020; 2) production and waste emission processes of energy and food were key constraints to coupling relationships; 3) Henan was the center of WEFE coupling coordination network in YRB, and the spatial network was divided into the net beneficial block, net spillover block, bidirectional spillover block, brokers block. However, regional disparities existed, coupling coordination degree showed downstream spillovers and upstream benefits; 4) accordingly, we proposed measures to enhance the balanced development of regional coupling coordination, what's the most important of which was identifying one's own position and actively broadening the channels of factor mobility. This study helps to understand the characteristics of resources from the perspective of complex networks, and provides a scientific basis for strengthening the regional integrated management, and achieving regional synergistic development. [Display omitted] • The coupling coordination degree has shown an increasing trend during 2006–2020. • Social Network Analysis model was used to analyze spatial network characteristics. • The upper reach is the beneficiary area of coupling coordination development. • Explored the targeted measures to enhance regional sustainable development. [ABSTRACT FROM AUTHOR]
- Published
- 2024
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