Spatial–Temporal Evolution of Agricultural Water Use Efficiency Based on DEA Approach and Spatial Autocorrelation
2025
Litao Huo | Ruitao Jia | Sa Wei | Meijing Chen | Qingqing Ma | Tengfei Jia | Jiawei Sun | Zonglin Han
With the change in climate and rapid social development, the problems of low agricultural water resource utilization efficiency (AWUE) and significant spatiotemporal variability in the Hebei Province of China are becoming increasingly prominent. This paper constructed a framework that considers environmental exogenous variables and selects evaluation indicators based on the Lasso model. It also used the Data Envelopment Analysis (DEA) model to measure AWUE from 2012 to 2021. Furthermore, the Global Moran&rsquo:s Index (GMI) and Getis Ord Gi * Index (GOGI) were applied to explore characteristics and trends of the spatiotemporal of AWUE. The conclusions are as follows: (1) The AWUE showed a fluctuating development trend of first rising and then falling. However, it did not achieve the effectiveness of DEA in general, and AWUE still had the potential and room for improvement. (2) From the perspective of spatiotemporal variability of AWUE, the northeast region shows better performance than the southwest region. The AWUE among cities and areas had a significant but relatively loose spatial correlation. (3) From 2012 to 2021, the centroid distribution of AWUE hotspots showed a shift from central areas to northeast, with an average annual transfer distance of 11.14 km. In summary, this study emphasizes the urgent need to improve AWUE, which can provide a reference for water resources departments to formulate policy planning and management decisions tailored to local conditions.
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