Research on the synergy of the water–energy–food composite system in the Beijing–Tianjin–Hebei region

Water, energy, and food are interdependent and mutually restrictive, and changes in any one resource may have an impact on the others. In order to promote the sustainable utilization of resources, it is important to study the synergy of the water–energy–food composite system (WEFCS). Taking the Beij...

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Bibliographic Details
Published in:Water policy 2024-09, Vol.26 (9), p.875-894
Main Authors: Wang, Jing, Cui, Xiaoyi, Zhao, Mengru, Zheng, Tao, Tu, Chuang, Zhang, Ying
Format: Article
Language:English
Subjects:
Case studies
Collaboration
Cooperation
Decision making
Delayed
Energy
Energy consumption
Food
Food composition
Food supply
Foods
Policy making
Regions
Resource allocation
Resource utilization
Short term
Social change
Subsystems
Sustainability
Synergy
System theory
Water
Water resources
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Summary:Water, energy, and food are interdependent and mutually restrictive, and changes in any one resource may have an impact on the others. In order to promote the sustainable utilization of resources, it is important to study the synergy of the water–energy–food composite system (WEFCS). Taking the Beijing–Tianjin–Hebei region as an example, this study adopts the composite system synergy degree model to quantitatively measure the synergy degree of WEFCS from 2011 to 2021, then constructs an evolutionary model to identify the interactions between the subsystems, and finally analyzes the interactions dynamically by using the panel vector autoregression model. The results show that the WEFCS synergy level in the Beijing–Tianjin–Hebei region is generally basic and shows low stability during the study period. Regional subsystems are more dependent than collaborative or competitive. Moreover, the regional water subsystem has a short-term positive impact on the energy subsystem, the energy subsystem has a short-term negative impact on the food subsystem, and the food subsystem has a delayed and complex influence on the water and energy subsystems, with the water subsystem being particularly affected. This study provides a decision-making basis for policymakers to optimize resource allocation.
ISSN:1366-7017
1996-9759
DOI:10.2166/wp.2024.065