Spatial and Temporal Distribution and Influencing Factors of “Water-Energy-Food-Ecology” System Resilience
Research into the resilience of the water-energy-food-ecology (WEFE) system is of great significance to ensure the safety and high quality of resources in the Yellow River Basin. To investigate WEFE system resilience and its influencing factors, this paper constructs an indicator system for WEFE sys...
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MDPI AG
2024-12-01
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| author | Yaofeng Yang Yajuan Chen Xiuqing Li |
| author_facet | Yaofeng Yang Yajuan Chen Xiuqing Li |
| author_sort | Yaofeng Yang |
| collection | DOAJ |
| description | Research into the resilience of the water-energy-food-ecology (WEFE) system is of great significance to ensure the safety and high quality of resources in the Yellow River Basin. To investigate WEFE system resilience and its influencing factors, this paper constructs an indicator system for WEFE system resilience based on prefecture-level city data from the Yellow River Basin spanning the years 2008 to 2021, and explores its dynamic evolution. Furthermore, this paper employs the Partial Least Squares (PLS) regression model to explore the factors influencing WEFE system resilience. It utilizes a spatial panel model to investigate the spatial spillover effects of these factors. The results indicate that WEFE system resilience in the Yellow River Basin exhibits a fluctuating upward trend. Spatially, a pattern of “low in the middle and upstream regions, high in the downstream regions” emerges. Among the driving factors, infrastructure development and the degree of innovation exhibit negative spatial spillover effects, while other factors demonstrate positive spatial spillover effects. Therefore, integrated basin management needs to be promoted by considering the systematic interlinkages of water, energy, food production and ecology and the sustainable use of resources to ensure the long-term resilience of cities. These findings provide valuable insights for policymakers to formulate more effective and coordinated resource management strategies in the Yellow River Basin, and also contributes to enriching the international literature on WEFE system research. |
| format | Article |
| id | doaj-art-4a9e4ea293be40edb6e17dc3d18b1616 |
| institution | Kabale University |
| issn | 2073-445X |
| language | English |
| publishDate | 2024-12-01 |
| publisher | MDPI AG |
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| series | Land |
| spelling | doaj-art-4a9e4ea293be40edb6e17dc3d18b16162025-01-24T13:37:32ZengMDPI AGLand2073-445X2024-12-01141810.3390/land14010008Spatial and Temporal Distribution and Influencing Factors of “Water-Energy-Food-Ecology” System ResilienceYaofeng Yang0Yajuan Chen1Xiuqing Li2Northwest Institute of Historical Environment and Socio-Economic Development, Shaanxi Normal University, Xi’an 710119, ChinaNorthwest Institute of Historical Environment and Socio-Economic Development, Shaanxi Normal University, Xi’an 710119, ChinaNorthwest Institute of Historical Environment and Socio-Economic Development, Shaanxi Normal University, Xi’an 710119, ChinaResearch into the resilience of the water-energy-food-ecology (WEFE) system is of great significance to ensure the safety and high quality of resources in the Yellow River Basin. To investigate WEFE system resilience and its influencing factors, this paper constructs an indicator system for WEFE system resilience based on prefecture-level city data from the Yellow River Basin spanning the years 2008 to 2021, and explores its dynamic evolution. Furthermore, this paper employs the Partial Least Squares (PLS) regression model to explore the factors influencing WEFE system resilience. It utilizes a spatial panel model to investigate the spatial spillover effects of these factors. The results indicate that WEFE system resilience in the Yellow River Basin exhibits a fluctuating upward trend. Spatially, a pattern of “low in the middle and upstream regions, high in the downstream regions” emerges. Among the driving factors, infrastructure development and the degree of innovation exhibit negative spatial spillover effects, while other factors demonstrate positive spatial spillover effects. Therefore, integrated basin management needs to be promoted by considering the systematic interlinkages of water, energy, food production and ecology and the sustainable use of resources to ensure the long-term resilience of cities. These findings provide valuable insights for policymakers to formulate more effective and coordinated resource management strategies in the Yellow River Basin, and also contributes to enriching the international literature on WEFE system research.https://www.mdpi.com/2073-445X/14/1/8Yellow River Basinsystem resiliencespatial and temporal distributioninfluencing factor |
| spellingShingle | Yaofeng Yang Yajuan Chen Xiuqing Li Spatial and Temporal Distribution and Influencing Factors of “Water-Energy-Food-Ecology” System Resilience Land Yellow River Basin system resilience spatial and temporal distribution influencing factor |
| title | Spatial and Temporal Distribution and Influencing Factors of “Water-Energy-Food-Ecology” System Resilience |
| title_full | Spatial and Temporal Distribution and Influencing Factors of “Water-Energy-Food-Ecology” System Resilience |
| title_fullStr | Spatial and Temporal Distribution and Influencing Factors of “Water-Energy-Food-Ecology” System Resilience |
| title_full_unstemmed | Spatial and Temporal Distribution and Influencing Factors of “Water-Energy-Food-Ecology” System Resilience |
| title_short | Spatial and Temporal Distribution and Influencing Factors of “Water-Energy-Food-Ecology” System Resilience |
| title_sort | spatial and temporal distribution and influencing factors of water energy food ecology system resilience |
| topic | Yellow River Basin system resilience spatial and temporal distribution influencing factor |
| url | https://www.mdpi.com/2073-445X/14/1/8 |
| work_keys_str_mv | AT yaofengyang spatialandtemporaldistributionandinfluencingfactorsofwaterenergyfoodecologysystemresilience AT yajuanchen spatialandtemporaldistributionandinfluencingfactorsofwaterenergyfoodecologysystemresilience AT xiuqingli spatialandtemporaldistributionandinfluencingfactorsofwaterenergyfoodecologysystemresilience |