Research on the synergy of the water–energy–food composite system in the Beijing–Tianjin–Hebei region
Bibliographic Data
| ID | 21697159 |
|---|---|
| Authors | Jing Wang (0000-0002-7594-8539, Yanshan University), Xiaoyi Cui (0000-0002-5324-6843, Yanshan University), Mengru Zhao (0000-0003-3836-9885, Yanshan University), Tao Zheng (0000-0003-4180-2424, Yanshan University), Zheng Tao (0000-0001-7947-2470, Yanshan University), Chuang Tu (Yanshan University), Ying Zhang (0000-0001-6214-2440, c LiRen College, Yanshan University, Qinhuangdao 066004, China, corresponding author) |
| Year | 2024 |
| Volume | 26 |
| Issue | 9 |
| Pages | 875-894 |
| Publication date | 2024-09-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Water Policy (JOURNAL) |
| Journal identifiers | ISSN: 1366-7017 • E-ISSN: 1996-9759 |
| Publisher | IWA Publishing (PUBLISHER • GB) |
| DOI | 10.2166/wp.2024.065 |
| OpenAlex | W4402362982 |
| Language | EN |
| References cited | 32 |
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
Agricultural economics · Beijing · Business · China · Composite number · Economics · Environmental protection · Geography · Natural resource economics · Water energy · Water resource management · Environmental Science · Materials Science · Water-Energy-Food Nexus Studies · Environmental Engineering
Multi-dimensional dynamic spatio-temporal evolution of the green development efficiency of water-energy-food in China
Optimization of urban resources efficiency in the domain of water–energy–food nexus through integrated modeling
Sustainability evaluation of the provincial water-energy-food nexus in China
| Citation velocity | historical |
|---|---|
| Highly cited | No |