School of Statistics, Dongbei University of Finance and Economics, Dalian 116025, China.
School of Finance, Dongbei University of Financial and Economics, Dalian 116025, China.
Sci Total Environ. 2022 Apr 20;818:151731. doi: 10.1016/j.scitotenv.2021.151731. Epub 2021 Nov 17.
In the context of global population growth and environmental degradation, research on the synergies of the water-energy-food (WEF) nexus is important for sustainable regional development. Using symbiosis and synergy theories, the authors constructed a synergy evaluation index for the WEF nexus and used the set pair analysis-variable fuzzy sets model to analyze the WEF nexus synergies in the Beijing-Tianjin-Hebei region (BTH) of China, from 2005 to 2017. The main factors affecting WEF nexus synergies were also analyzed, with results indicating that: 1) the WEF nexus synergies were the best in Beijing, followed by the BTH as a whole, Tianjin, and then Hebei. We also found that WEF nexus synergy grades have been gradually improving over time, with Beijing improving the most, and Tianjin the least. 2) The WEF nexus synergy grades in each region, for symbiotic units, symbiotic relationships, and symbiotic environments, have also gradually improved. And symbiotic relationship synergies were better than symbiotic environment synergies than symbiotic unit synergies. 3) The WEF nexus symbiotic unit synergies were strongest in Tianjin, followed by Beijing, the BTH as a whole, and then Hebei. The symbiotic relationship synergies were strongest in Beijing, followed by Hebei, the BTH as a whole, and then Tianjin. The symbiotic environment synergies were also strongest in Beijing, followed this time by the BTH as a whole, Tianjin, and then Hebei. 4) Economic factors and symbiotic unit synergies were found to be the aspects most influential on WEF nexus synergies in each region. In addition, symbiotic relationship synergies were found to have important impacts on the WEF nexus synergies in Hebei and the BTH as a whole. Overall, we were able to conclude that the methodology developed in this study provided a scientific basis for synergy optimization in the context of a regional WEF nexus.
在全球人口增长和环境恶化的背景下，研究水-能源-粮食（WEF）纽带的协同作用对可持续区域发展至关重要。本文运用共生和协同理论，构建了 WEF 纽带协同评价指标，并采用集对分析-可变模糊集模型，对 2005—2017 年中国京津冀地区的 WEF 纽带协同关系进行了分析。同时，还对影响 WEF 纽带协同关系的主要因素进行了分析，结果表明：1）京津冀地区 WEF 纽带协同关系最好的是北京，其次是京津冀整体、天津、河北；且京津冀 WEF 纽带协同关系等级呈现逐渐提升的趋势，其中北京提升幅度最大，天津提升幅度最小。2）京津冀地区各区域的 WEF 纽带协同关系等级，在共生单元、共生关系和共生环境方面均呈现逐渐提升的趋势，且共生关系协同度要好于共生环境协同度，共生环境协同度要好于共生单元协同度。3）京津冀地区 WEF 纽带共生单元协同度最强的是天津，其次是北京、京津冀整体、河北；共生关系协同度最强的是北京，其次是河北、京津冀整体、天津；共生环境协同度最强的也是北京，其次是京津冀整体、天津、河北。4）经济因素和共生单元协同度对各区域 WEF 纽带协同关系的影响最大，且共生关系协同度对河北和京津冀整体的 WEF 纽带协同关系影响较大。总体来看，本文所构建的评价方法能够为区域 WEF 纽带协同关系优化提供科学依据。
