Coupling Coordination Development Between Cultivated Land and Agricultural Water Use Efficiency in Arid Regions: A Case Study of the Turpan–Hami Basin

Yue Kong, Abdugheni Abliz (), Dongping Guo, Xianhe Liu, Jialin Li and Buasi Nurahmat
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Yue Kong: College of Geography and Remote Sensing Sciences, Xinjiang University, Urumqi 830046, China
Abdugheni Abliz: College of Geography and Remote Sensing Sciences, Xinjiang University, Urumqi 830046, China
Dongping Guo: College of Geography and Remote Sensing Sciences, Xinjiang University, Urumqi 830046, China
Xianhe Liu: College of Geography and Remote Sensing Sciences, Xinjiang University, Urumqi 830046, China
Jialin Li: College of Geography and Remote Sensing Sciences, Xinjiang University, Urumqi 830046, China
Buasi Nurahmat: College of Geography and Remote Sensing Sciences, Xinjiang University, Urumqi 830046, China

Agriculture, 2025, vol. 15, issue 11, 1-24

Abstract: The coupling coordination relationship between cultivated land and water resources in arid regions is crucial for ecological security and sustainable food production. This study explores the interaction between these resources to optimize the allocation of water–land resources, ecological resources, and agricultural resources and promote synergistic development. Taking the Turpan–Hami Basin as a case study, this research analyzed the utilization efficiency of cultivated land and agricultural water resources from 2000 to 2023 using a super-efficiency SBM-DEA model. A coupling coordination degree model was constructed to evaluate their coordinated development level, with spatial autocorrelation and other methods used to examine spatiotemporal patterns. Key findings include: (1) The overall utilization efficiency of both resources was relatively low, with mean values of 0.516 and 0.596, showing a fluctuating upward trend and significant spatial heterogeneity; (2) The mean coupling coordination degree (CCD) ranked as follows: Barkol Kazakh Autonomous County (0.587) > Yiwu County (0.563) > Gaochang District (0.494) > Shanshan County (0.437) > Tuokexun County (0.417) > Yizhou District (0.342), with an annual growth rate of 4.6%; (3) Regional disparities were dominated by intra-regional differences (42.0%), followed by transvariation density (30.64%). This study provides scientific evidence for optimizing resource allocation in arid regions.

Keywords: arid zone; Turpan–Hami Basin; super-efficient SBM model; coupling coordination development; Dagum Gini coefficient (search for similar items in EconPapers)
JEL-codes: Q1 Q10 Q11 Q12 Q13 Q14 Q15 Q16 Q17 Q18 (search for similar items in EconPapers)
Date: 2025
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