Spatial–Temporal Evolution of Agricultural Water Use Efficiency Based on DEA Approach and Spatial Autocorrelation DOI Open Access

Litao Huo,

Rong Jia, Wei Shi

et al.

Water, Journal Year: 2025, Volume and Issue: 17(10), P. 1456 - 1456

Published: May 12, 2025

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

Language: Английский

Multi-scenario analysis of green water resource efficiency under carbon emission constraints in the Chengdu-Chongqing urban agglomeration, China: A system dynamics approach DOI
Keyao Yu, Zhigang Li

Ecological Indicators, Journal Year: 2025, Volume and Issue: 171, P. 113139 - 113139

Published: Jan. 27, 2025

Language: Английский

Citations

1
Efficiency assessment and scenario simulation of the water-energy-food system in the Yellow river basin, China DOI
Chenjun Zhang, Xiangyang Zhao, Changfeng Shi

et al.

Energy, Journal Year: 2024, Volume and Issue: 305, P. 132279 - 132279

Published: July 2, 2024

Language: Английский

Citations

5
Identification, Attribution, and Mitigation of Agricultural–Ecological Functional Conflicts in Urban Agglomerations DOI Open Access
Mengjie Wang,

Xian-Chao Zhao,

Fanmin Liu

et al.

Sustainability, Journal Year: 2025, Volume and Issue: 17(6), P. 2565 - 2565

Published: March 14, 2025

Amid the increasing demands for ecological civilization and food security, addressing conflicts between agricultural functions has become a critical priority in spatial governance. Focusing on Chang-Zhu-Tan Urban Cluster, this study establishes multi-indicator evaluation framework employs weighted model to measure functions. The ESDA characterizes distribution clustering patterns of conflicts, while RF identifies key drivers underlying mechanisms. results indicate following: (1) Agricultural exhibit “center-weak, periphery-strong” pattern, with high-function zones covering over 60% area, whereas are primarily concentrated low-function zones, areas localized northeast. Overall, agro-ecological functionality declined from 2000 2020, accompanied by increased gradient differentiation. (2) High-conflict decreased 7.73% during period, medium-conflict conflict-free expanded. Spatially, trend “peripheral mitigation high central expansion low conflicts” emerged. (3) Natural environmental factors were primary conflict dynamics, land use gained significance time. Elevation slope dominated economic density crop planting area more influential 2010. Synergistic effects observed, slope–precipitation interactions providing strongest explanatory power. This offers empirical insights into managing agricultural–ecological thereby contributing enhanced governance sustainable development practices.

Language: Английский

Citations

0
Kazakhstan residents’ awareness regarding revival of the Aral Sea and its economy DOI Creative Commons

Tetsuya Nakamura,

Atsushi Maruyama, Satoru Masuda

et al.

Discover Sustainability, Journal Year: 2025, Volume and Issue: 6(1)

Published: April 17, 2025

Language: Английский

Citations

0
Spatial–Temporal Evolution of Agricultural Water Use Efficiency Based on DEA Approach and Spatial Autocorrelation DOI Open Access

Litao Huo,

Rong Jia, Wei Shi

et al.

Water, Journal Year: 2025, Volume and Issue: 17(10), P. 1456 - 1456

Published: May 12, 2025

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

Language: Английский

Citations

0