Spatiotemporal Variation in Water–Energy–Food Synergy Capacity Based on Projection Pursuit Model in the Central Area of Yangtze River Delta, China

Zhengwei Ye (), Zonghua Li, Qilong Ren, Jingtao Wu, Manman Fan and Hongwen Xu
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Zhengwei Ye: School of Geography and Planning, Huaiyin Normal University, Huai’an 223300, China
Zonghua Li: School of Computer Science and Technology, Huaiyin Normal University, Huai’an 223300, China
Qilong Ren: School of Geography and Planning, Huaiyin Normal University, Huai’an 223300, China
Jingtao Wu: School of Geography and Planning, Huaiyin Normal University, Huai’an 223300, China
Manman Fan: School of Geography and Planning, Huaiyin Normal University, Huai’an 223300, China
Hongwen Xu: School of Geography and Planning, Huaiyin Normal University, Huai’an 223300, China

Agriculture, 2025, vol. 15, issue 20, 1-23

Abstract: Water, energy, and food (WEF) constitute the core strategic resources essential for regional sustainable development, and the governance of the WEF system holds critical significance for the Central Area of the Yangtze River Delta (caYRD)—one of China’s most economically dynamic regions. In this area, however, the potential risks associated with insufficient WEF synergy capacity have become increasingly prominent amid continuous population growth and rapid urbanization. Against this backdrop, this study aimed to evaluate the WEF synergy capacity of 27 prefecture-level cities (PLCs) in the caYRD over the period 2005–2023 using the Projection Pursuit Model (PPM), based on an evaluation framework encompassing 12 indicators. Our results revealed that (1) the WEF system exhibits significant spatiotemporal heterogeneity, which is evident not only in the water resource, energy resource, and food resource subsystems but also in the overall WEF synergy capacity. In the water subsystem, Wenzhou and Ma’anshan achieved the highest and lowest PPM evaluation scores, respectively; in the energy subsystem, Zhoushan and Shanghai recorded the highest and lowest scores, respectively; and in the food subsystem, Yancheng and Zhoushan ranked first and last in terms of PPM scores, respectively. (2) For the integrated WEF synergy capacity evaluation, Yancheng obtained the highest score, whereas Shanghai ranked the lowest; additionally, Chuzhou exhibited the largest fluctuation range in scores, while Taizhou (Jiangsu) exhibited the smallest fluctuation range. (3) Subsequently, based on the PPM evaluation values of WEF synergy capacity, the 27 PLCs were clustered into three groups: the High WEF synergy capacity value cluster, which includes Yancheng and Chuzhou; the Low WEF synergy capacity value cluster, which consists of Shanghai and Suzhou; and the Mid-level WEF synergy capacity value cluster, which comprises the remaining 22 PLCs and is further subdivided into three sub-clusters. The cluster results of WEF synergy capacity imply that special attention to the consumption control of WEF resources is required for different PLCs. The variations in WEF synergy capacity and its spatial distribution patterns provide critical insights for formulating region-specific strategies to optimize the WEF system, which is of great significance for supporting sustainable development decision-making in the caYRD.

Keywords: water-energy-food synergy capacity; spatiotemporal variation; projection pursuit model; central area of Yangtze River Delta (search for similar items in EconPapers)
JEL-codes: Q1 Q10 Q11 Q12 Q13 Q14 Q15 Q16 Q17 Q18 (search for similar items in EconPapers)
Date: 2025
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